VOLUME 12, ISSUE 5, MAY 2025

Abstract: The impact of Quality of Work Life (QWL) on organizational commitment and employee productivity at pharmaceuticals industry, a major participant in the Indian pharmaceutical sector, is examined in this study. It focuses on things like work-life balance, job stability, career advancement, pay, and workplace conditions. Structured questionnaires and literature reviews were used to gather data for a descriptive study design. Employees from different departments were included in the sample, providing a comprehensive picture of QWL throughout the company. The associations between QWL components, productivity, and loyalty were investigated using statistical techniques such as regression analysis and correlation. According to the results, higher QWL considerably boosts worker productivity and fortifies organizational loyalty. Fair compensation, opportunity for growth, and supportive work environments all increase employee retention and happiness. The study emphasizes that to promote long-term organizational performance, HR strategies must be focused on employee well-being. Pharmaceutical industry will use the knowledge gathered to create practical strategies that would promote industry competitiveness, lower attrition, and improve working conditions.

Keywords: Quality of Work Life (QWL), Organizational Commitment, Employee Productivity, Work-Life Balance

Abstract: There can be no occupational health and safety without mental health. Through a thorough literature review and questionnaire survey of 152 workers in the Nigerian Construction Industry (NCI), this study investigates the impact of wellbeing culture and mental health among construction professionals in Nigeria. Our findings reveal Decrease in job satisfaction and Reduction in Productivity respectively are the highest impacts of poor wellbeing culture and mental health of construction workers in Nigeria. Furthermore, Enforcement of regulations that prioritize mental health considerations in urban planning and development and Regular training and education programs should be implemented to raise awareness will help to improve wellbeing culture and mental health among construction workers in Nigeria. Hence, there is a need for regular awareness workshops and training, policies supporting work-life balance, and accessible counselling services to promote mental health and wellbeing in the Nigerian Construction Industry.

Keywords: Wellbeing Culture, Mental Health, Construction, Engineering, Nigeria.

Abstract: The Multiply-Accumulate (MAC) unit plays a pivotal role in digital signal processing (DSP), image processing, and embedded applications, where speed and power efficiency are of utmost importance. This paper proposes a novel 32-bit MAC architecture employing a hybrid Vedic multiplier and reversible logic gates, integrated with a Han-Carlson adder to enhance computational performance. The hybrid multiplier combines the advantages of traditional and Vedic techniques for faster partial product generation, while the use of reversible logic gates significantly reduces power dissipation, making the design suitable for low-power applications. The Han-Karlson adder, with its high-speed carry propagation and balanced logic structure, further accelerates the addition process. The proposed design is modelled and simulated using industry-standard tools and is evaluated against conventional MAC architectures in terms of delay, area, and power. Experimental results confirm that the proposed MAC unit achieves superior performance, offering a viable solution for next-generation VLSI systems.

Keywords: Multiply-Accumulate Unit (MAC), Vedic Multiplier, Reversible Logic Gates, Han-Karlson Adder, Low Power, High Speed, VLSI Design, Digital Signal Processing.

Abstract: In the context of modern educational systems, student stress has emerged as a critical issue affecting cognitive performance, emotional health, and academic success. This study introduces an intelligent stress detection framework that leverages image processing and artificial intelligence to identify stress levels in students through facial expression analysis. The system employs Convolutional Neural Networks (CNNs) to automatically extract and interpret visual emotional cues from facial images. Developed as a web-based application using the Flask framework in Python, the solution offers a non-intrusive and real-time assessment tool. The primary objective is to serve as an early warning mechanism, enabling timely interventions to support students' mental well-being and academic resilience.

Abstract: The companies would now prosper if they could only reject the idea of employees as short-term assets and learn to cherish the upkeep of such assets for boosting overall performance. The very aim of this study is to analyze the mediating relationship of employee retention on organizational strategies with respect to individual performance outcomes. Based on empirical survey data obtained from professionals across different sectors, the research explored how the likes of talent development, technology integration, and organizational support affect the performance of employees indirectly, through retention. By and large, the findings show that employee retention plays a very distinctive mediating function, thereby strengthening the link between organizational initiatives and productivity in the workforce. High retention was found to correlate positively with actual job satisfaction, commitment, and ultimately better individual performance outcomes. Conversely, turnover on the other hand destabilizes the team and disrupts knowledge continuity to the detriment of performance. This study certainly adds to the existing literature on the imperative of integrated talent management policies focusing on the prospects of long-term employee engagement. The insights presented are beneficial to HR managers, heads of business, and policymakers who aspire to create high-performing organizations. By and large, the study leads to the conclusion that retention is not merely an HR action. It is, rather, an organization-wide strategic requirement for sustaining a competitive advantage.

Keywords: Employee retention, individual performance, Talent management, Employee engagement, Mediating effect

Abstract: This study explores the use of machine learning to improve early detection of Chronic Kidney Disease (CKD). Using a data set from the UCI repository, seven classifiers and multiple feature selection techniques were evaluated. The Linear SVM with L2 regularization achieved 98.86% accuracy with SMOTE and full features, while a Deep Neural Network reached the highest accuracy of 99.6%. The results highlight the effectiveness of machine learning, especially deep learning, in enhancing CKD diagnosis.

Keywords: predictive modeling, SVM, logistic regression, neural network, random tree.

Abstract: The rapid growth of Artificial Intelligence (AI) and automation technologies is transforming the auditing landscape, giving new options for boosting audit quality, efficiency, and accuracy. This essay examines the potential and difficulties that the auditing profession faces as a result of automation and artificial intelligence. Integrating intelligent technologies has made it possible for auditors to process vast amounts of data at previously unheard-of speeds, spot irregularities, evaluate risks more precisely, and offer more in-depth analyses of operational and financial performance. By switching from sample-based audits to full-population testing and continuous auditing procedures, these capabilities are completely changing conventional audit approaches. Routine processes like data extraction, reconciliation, and report preparation are being automated with the use of AI-driven technologies including robotic process automation (RPA), machine learning techniques, and natural language processing (NLP). The value of audit services is raised by this automation, which frees up auditors to concentrate on more strategic and judgment-intensive tasks. Additionally, proactive risk management and early fraud detection are made possible by predictive analytics, which raises the efficacy of audits. However, there are a number of difficulties that come with incorporating automation and artificial intelligence into auditing. Data privacy, algorithmic bias, ethical ramifications, and the requirement for legislative frameworks to keep up with technical advancements are among the main issues. To properly use these technologies while retaining professional skepticism and judgment, auditors also need to develop new competences in data science, AI ethics, and IT controls. Since auditors must The ramifications for audit firms, clients, and regulatory agencies are also covered in this paper, emphasizing the necessity of making calculated investments in personnel development, technology infrastructure, and change management..In summary, automation and artificial intelligence (AI) are strategic enablers that have the ability to completely transform the audit profession rather than just being instruments for increasing operational efficiency. A forward-thinking attitude among stakeholders, ongoing innovation, and ethical considerations are necessary for their successful integration. Adopting these technologies will be essential as the auditing landscape changes in order to maintain relevance, resilience, and trust in a data-driven future.

Keywords: Artificial Intelligence (AI), Automation, Auditing Transformation

Abstract: This paper presents the performance enhancement of graphene-based pattern reconfigurable antennas for terahertz (THz) applications. An AI-driven metasurface assisted graphene antenna with adaptive beam steering is proposed. Unlike conventional designs that uses bias voltage control for beam reconfiguration, this method integrates a metasurface layer to enhance electromagnetic wave manipulation in the frequency range 4 - 6 THz, improving gain 16 dBi, bandwidth, and directionality. Additionally, an AI-based control system dynamically adjusts the chemical potential of graphene elements in real time, enabling continuous 360° beam steering instead of fixed beam states. The system utilizes Random Forest machine learning algorithm to predict optimal bias voltages based on environmental conditions, ensuring real-time adaptation for enhanced signal strength and reduced interference. This next-generation design provides higher gain, broader coverage, and intelligent beam adaptation, revolutionizing high-speed THz wireless communication for future smart networks.

Keywords: Graphene-based antenna, Pattern Reconfigurable Antenna, Terahertz (THz) communication, Wireless communication systems.

Abstract: This paper presents the design and analysis of a frequency-agile hexagon slot antenna capable of operating across a wideband frequency range from 1 GHz to 12 GHz by toggling diode ON/OFF conditions, making it suitable for radar and high-speed wireless communication applications. The proposed antenna structure is designed with FR-4 epoxy substrate and ground plane is implemented using copper to ensure high conductivity and minimal insertion loss. A microstrip feedline is employed to excite the hexagonal slot, offering efficient coupling and stable impedance matching across the operating bandwidth. The antenna exhibits strong frequency agility through structural optimization and design symmetry, enabling operation across multiple radar bands. The compact form factor and wideband performance of the antenna make it an ideal candidate for integration into modern radar systems.

Keywords: Hexagonal slot, frequency agility, Radar applications, slot antenna, notch, strip

Abstract: The road safety is an important aspect in the present scenario. The project aims to improve the road safety by using machine and deep learning to monitor and classify driver behaviour in real time. It identifies ten types of activities of driver including- safe driving, texting, phone usage, drinking and more. The system uses advances CNNs, transfer learning models like VGG16 and ResNet50, and YOLOv8 for object detection. It also includes a drowsiness detection module to alert drivers showing signs of fatigue. The project uses the state farm distracted driver detection dataset for training and evaluation, and flask-based web app for real-time monitoring and alerts. Performance is measured using Accuracy, Precision, Recall, and F1-score, showing high effectiveness in enhancing driver awareness and reducing accidents. This system is suitable for modern vehicle safety and fleet management solutions. The drowsiness module is also integrated to alert the driver feeling drowsy and improve the safety. It utilizes the standard dataset of open and closed eyes for training and detects the drowsy behaviour in real time.

Keywords: ML, Road safety, VGG16, ResNet50, YOLOv8, CNN, Real-time monitoring.

Abstract: Operational efficiency plays a critical role in ensuring competitiveness, profitability, and long-term sustainability in the fast-evolving automobile retail sector. This study investigates key strategies and tools adopted by automobile retail stores to enhance their operational efficiency, with special focus on Lean methodology implementation. The objective is to evaluate current operational practices, understand employee perspectives, and identify the impact of factors such as automation, employee training, and process standardization. Using a descriptive research design, the study collected data from 63 respondents through structured questionnaires. The responses were analyzed using percentage analysis, Chi-Square tests, and One-Way ANOVA. Findings reveal a growing inclination toward Lean adoption and digital tools, yet highlight disparities in familiarity and implementation effectiveness across age groups. Operational bottlenecks such as communication gaps and resource mis-allocation were also observed. The study emphasizes the need for customized Lean training programs, standardized process frameworks, and digital integration to bridge efficiency gaps. By fostering a culture of continuous improvement and aligning employee practices with technological advancements, automobile retail stores can significantly elevate their service delivery and operational resilience. This research contributes to the limited body of literature exploring the intersection of Lean practices and demographic factors in automobile retail operations. Recommendations include enhancing internal communication, introducing KPI-based monitoring, and leveraging automation for repetitive task management.

Keywords: Operational Efficiency, Lean Methodology, Automobile Retail, Process Optimization, Digital Tools, ANOVA, Chi-Square Analysis.

Abstract: In this work, a sophisticated deep learning method for melanoma diagnosis and localization using whole-slide histopathology pictures is presented. The suggested technique efficiently extracts and evaluates high-dimensional information from large-scale slide pictures by the use of convolutional neural networks (CNNs), which enable accurate detection of the melanoma region. To manage the enormous size and complexity of whole-slide images, the system combines preprocessing methods, patch-wise analysis, and aggregation strategies. CNNs have the potential to improve digital pathology processes and assist clinical decision-making in dermatology, as evidenced by experimental data showing greater performance over conventional approaches in terms of diagnostic accuracy and lesion location.

Keywords: feature extraction, image pre-processing, lesion localization, medical image analysis, whole-slide images (WSIs), convolutional neural networks (CNNs), and melanoma diagnosis

Abstract: Sign language detection is a revolutionary technology that enables automated recognition and interpretation of sign language gestures, bridging the communication gap between the deaf, dumb and hard of hearing community and rest of society. It developed using machine learning and computer vision techniques. Our innovative approach combines CNN- convolutional neural networks with advanced motion capture technologies to accurately identify a wide array of signs, taking into account that intricacies of hand shapes, movement. Detection: video/image capture >Hand tracking/feature extraction > ML model classification > text/speech output. In our experiments, the detection system demonstrated impressive accuracy rates, and maintained strong performance in real-world situations.

Keywords: CNN (Convolutional Neural Network), ML (Machine learning), Hand tracking.

Abstract: This study examines the impact of short-term asset management on profitability within Indian manufacturing companies, with a specific focus on TI Cycles of India. It aims to assess how effectively short-term assets-such as inventory, receivables, and cash-are managed and how this efficiency contributes to financial performance. Additionally, the research explores the moderating influence of the business environment, including market competition, operational complexity, and regulatory pressures. Adopting an analytical research design, the study employs descriptive statistics, regression analysis, and ANOVA to evaluate the relationship between asset utilization (measured by ROA and CCC) and profitability (measured by ROE and NPM). The primary objective is to analyze both the direct and moderated effects of asset efficiency on profitability, while the secondary objectives focus on operational and liquidity performance. Key findings reveal that efficient management of short-term assets significantly enhances profitability and liquidity. The research highlights critical performance gaps and emphasizes the importance of strategic financial alignment with changing business conditions. Addressing a notable gap in existing literature, the study provides context-specific insights for Indian manufacturers. These findings hold practical value for corporate managers, analysts, and policymakers seeking to improve financial performance through effective short-term asset and working capital management.

Keywords: Short-term asset management, Profitability, Working capital efficiency, Business environment, TI Cycles of India, Inventory management, Liquidity, ROA, ROE, Indian manufacturing industry.

Abstract: This research investigates the intricate relationship between sustainable business practices, employee engagement, and organizational performance, examining these factors through a comprehensive social, environmental, and economic lens. In an increasingly interconnected and environmentally conscious world, sustainability has transcended its status as a mere corporate social responsibility initiative and become a critical driver of long-term value creation. This study explores how organizations can effectively integrate sustainable principles into their core operations, culture, and strategic decision-making to not only minimize their environmental footprint but also cultivate a more engaged and motivated workforce. The central premise of this research is that a strong commitment to sustainability can significantly influence employee engagement. Employees are increasingly seeking purpose-driven work and are more likely to be engaged with organizations that demonstrate a genuine commitment to social and environmental responsibility. This study will delve into the specific ways in which sustainable initiatives, such as waste reduction programs, renewable energy adoption, ethical sourcing, and community engagement, can impact employee morale, job satisfaction, and overall engagement levels. It will explore whether employees perceive these initiatives as genuine efforts to contribute to a better future, and how this perception translates into increased commitment to the organization's goals and values. Furthermore, this research will examine the multifaceted impact of this interplay between sustainability and engagement on organizational performance. From a social perspective, the study will analyse how sustainable practices contribute to improved community relations, enhanced brand reputation, and a stronger social license to operate. It will investigate the extent to which employee engagement mediates the relationship between sustainability initiatives and positive social outcomes. From an environmental perspective, the research will assess the direct impact of sustainable practices on reducing the organization's environmental footprint, including measures such as carbon emissions, resource consumption, and waste generation. It will also explore how employee engagement can contribute to the success of environmental initiatives by fostering a culture of environmental awareness and responsibility within the organization.

Keywords: sustainable business practices, employee engagement, organizational performance, environmental sustainability, social responsibility, economic impact, corporate culture, strategic decision-making, workforce motivation, renewable energy, ethical sourcing, community engagement, waste reduction, carbon emissions.

Abstract: Businesses are expected to reveal accurate and trustworthy financial information in the business world. The deliberate manipulation of a company's reported financial performance is known as financial statement fraud. Key financial statement for the company In the name of creative accounting, frauds are allowed to go unpunished. However, they must be examined for lessons learned and methods to prevent or lessen the occurrence of similar scams in the future. For shareholders, especially the average person who only has access to the company's reported financial figures, it is crucial. Using the Earnings Quality, Beneish models of fraud detection, this study aims to identify financial statement fraud practices in the Indian pharmaceutical industry for the benefit of investors. The outcome demonstrates that financial statement fraud exists in the investigated companies. Therefore, it is anticipated that the study will contribute to enhancing investors' perceptions of a company's performance as indicated by its financial figures.

Keywords: "Financial Statement Fraud", "Earnings Quality", "De-Angelo Model"," Beneish Model"

Abstract: Search engine optimization (SEO) is a critical element in digital marketing, directly influencing a website's visibility, usability, and long-term competitiveness. As businesses increasingly rely on digital platforms to engage with customers and drive conversions, optimizing their online presence has become essential for sustainable growth. This paper presents a structured SEO audit of a mid-sized website, applying a comprehensive framework that evaluates technical infrastructure, on-page content elements, keyword integration, backlink profiles, and user experience design. The analysis identifies several areas of concern, including slow page speed, inconsistent meta tags, broken internal links, underutilized keyword strategies, and a weak backlink profile-each of which significantly impacts the site's performance in search engine results pages (SERPs). Additionally, user engagement is hindered by a lack of strong calls-to-action and content depth, limiting both discoverability and conversion potential. Through the synthesis of audit findings, this study proposes a strategic set of recommendations designed to enhance organic performance, improve indexability, and align the website with current SEO best practices. These recommendations encompass technical optimizations, content enrichment strategies, and authority-building techniques. The insights presented in this paper not only serve as a diagnostic tool for the audited website but also provide a replicable model for SEO practitioners aiming to improve search visibility, user satisfaction, and digital impact across industries.

Keywords: SEO audit, technical optimization, keyword analysis, backlink profile, digital visibility, user experience

Abstract: In today's competitive and rapidly changing business environment, the ability of an organization to maintain a skilled, competent, and motivated workforce is vital to achieving sustained success. This study focuses on the training and development practices at TI Clean Mobility Pvt. Ltd., examining their role in enhancing employee performance, satisfaction, and organizational productivity. Training and development are essential components of human resource management, aimed at equipping employees with the necessary knowledge, skills, and competencies to perform their roles effectively and adapt to evolving job requirements. The primary objective of the study is to evaluate the effectiveness of existing training programs at TI Clean Mobility, covering both technical and non-technical domains. The research further investigates employee perceptions, levels of engagement in training initiatives, and how these programs impact individual performance and organizational efficiency. Additionally, the study identifies key challenges faced in implementing training interventions, such as resource constraints, training relevance, and follow-up mechanisms. The findings highlight the importance of structured training programs, post-training feedback, and continuous improvement strategies to ensure the alignment of training with organizational goals. By assessing current practices and areas needing enhancement, this study provides actionable insights that can support TI Clean Mobility and similar organizations in developing more robust, impactful training systems. The overall results underscore that investing in employee development not only boosts morale and job satisfaction but also fosters better human relations and long-term growth.

Keywords: Training and Development, Human Resource Management, Employee Performance, Skill Enhancement, Organizational Productivity, Employee Satisfaction, TI Clean Mobility, Learning and Development, Post-Training Evaluation, Workforce Competence.

Abstract: This research investigates the effectiveness of Rollover Analysis as a predictive tool for short-term price movements in the Indian stock futures market. Focusing on a selected group of high-rollover occurrence stocks over the period from 2018 to 2025, the study applies a quantitative, predictive methodology using secondary data sourced from credible financial platforms. The analysis evaluates the success rate and profitability of the rollover pattern characterized by a bullish candlestick formation-to assess its reliability for traders employing "buy today, sell tomorrow" strategies. Key metrics such as win/loss ratios, profit distributions, and stock-specific performance are derived through back testing across multiple years. The findings indicate that while the overall success rate hovers around 48.6%, strategic application of rollover signals in trending markets yields significant profits, particularly in highly liquid and institutionally favored stocks. The research methodology incorporates predictive analytics and a deductive approach, drawing from historical rollover occurrences and assessing their impact on next-day futures returns. The data cleaning process, normalization of variables, and exploratory data analysis formed the foundation for the statistical interpretation. Performance is evaluated based on metrics such as total profitability, average profit per trade, and year-wise profit/loss trends. Three stocks selected for detailed analysis exhibited varying degrees of responsiveness to rollover signals, highlighting both the potential and the limitations of the strategy. Results suggest that rollover analysis is more effective during trending market phases and when combined with additional technical indicators such as moving averages or relative strength index (RSI). Liquidity and institutional participation emerged as critical factors influencing the success of the pattern. Stocks with higher open interest and clearer rollover trends tended to deliver more consistent results, while mid-cap or volatile stocks showed mixed outcomes. The study concludes that rollover analysis, when used with discipline and supplemented by robust risk management, can be a valuable decision-making tool in futures trading. It offers a systematic framework to identify bullish momentum and improve entry timing. Investors and traders looking to enhance their short-term strategies may benefit from incorporating rollover behavior into their broader analytical toolkit. Moreover, the research opens avenues for further exploration using automation and machine learning to refine the predictive models.

Keywords: Rollover Analysis, Futures Market, Indian Stock Market, Predictive Analytics, Technical Analysis

Abstract: This study investigates the recruitment and selection processes at Computer Age Management Services a leading financial infrastructure and services provider in India. Given the increasing integration of AI and HR tech in modern HRM practices, the study aims to assess how Computer Age Management Services leverages technology to enhance recruitment effectiveness. Using descriptive research design and a structured questionnaire administered to 80 employees, the study explores key recruitment strategies, tools, and outcomes. Statistical techniques including ANOVA, correlation, and factor analysis were applied using SPSS. Results suggest a strong correlation between tech-driven recruitment methods and improved employee retention and performance. The findings offer valuable insights for HR professionals aiming to modernize recruitment frameworks while ensuring compliance and cost-effectiveness.

Keywords: Recruitment, Selection, HR Technology, Employee Retention, AI in HR

Abstract: This research investigates the role of predictive analytics in enhancing the accuracy of financial reporting, with a specific focus on Cogent Innovation Pvt . Ltd. Traditional financial reporting methods often struggle with issues such as manual errors, delays, and inefficiencies, which can compromise the reliability of financial data used for strategic decision-making. To address these challenges, the study adopts a mixed-methods research design, utilizing both quantitative surveys and qualitative interviews conducted with financial analysts, industry professionals, and AI specialists. The collected data was analysed using SPSS software to derive statistically significant insights. The findings indicate that the integration of predictive analytics significantly improves the accuracy and timeliness of financial reporting. It also strengthens risk identification, streamlines compliance efforts, and supports more informed and agile decision-making processes. Nevertheless, the research also identifies persistent barriers to adoption, including concerns about data privacy, the high initial cost of implementation, and resistance to organizational change. Despite these limitations, the study emphasizes the growing relevance of AI-powered solutions in finance and their potential to transform traditional reporting systems. By offering practical recommendations such as investing in training, enhancing data governance, and implementing pilot projects, the study provides a roadmap for businesses aiming to adopt predictive analytics effectively. Ultimately, this research contributes to the broader discourse on financial innovation and offers valuable insights for organizations seeking to improve their financial transparency, accuracy, and strategic agility through advanced data-driven approaches.

Keywords: Predictive Analytics, Financial Reporting, Artificial Intelligence, Data Quality, Risk Management, Decision-Making

Abstract: In today's dynamic business environment, the alignment of executive skills with organizational needs is critical for sustained competitive advantage. This project, titled "Analyzing Executive Skill Gap Using Predictive Analysis", aims to identify and bridge skill gaps among executives by leveraging data-driven methodologies. The study integrates human resource analytics with predictive modeling to forecast future skill requirements and assess current executive competencies. By employing tools such as regression analysis, machine learning algorithms, and clustering techniques, the project evaluates historical performance data, training records, and industry trends to uncover patterns and discrepancies. The outcome provides actionable insights for HR professionals and top management, enabling strategic talent development and informed succession planning. This predictive approach enhances decision-making by proactively addressing potential gaps before they impact organizational performance. The research contributes to the growing field of workforce analytics and offers a scalable model adaptable across industries.

Abstract: This study investigates the marketing analysis and promotional strategies employed by a company offering premium architectural products including UPVC windows, SPC flooring, and blinds. By adopting descriptive research methods and using tools such as surveys, interviews, and SPSS for data analysis, the research explores customer preferences, competitor strategies, and the effectiveness of Shristi's current marketing approach. Findings reveal that Shristi faces challenges in digital outreach and brand differentiation but also has opportunities in leveraging sustainability and smart technologies. The study proposes data-driven recommendations for targeted marketing and highlights key performance indicators for tracking success. These insights aim to help Shristi better align its strategy with evolving consumer behaviour and competitive dynamics.

Keywords: UPVC windows, SPC flooring, marketing strategy, customer preferences, digital promotion, digital marketing strategy, home improvement industry, Promotional effectiveness, customer segmentation brand, positioning, sustainable construction material

+91-7667918914 iarjset@gmail.com 0 Items International Advanced Research Journal in Science, Engineering and Technology A Monthly Peer-Reviewed Multidisciplinary Journal ISSN Online 2393-8021 ISSN Print 2394-1588 Since 2014 Home About About IARJSET Aims and Scope Editorial Board Editorial Policies Publication Ethics Publication Policies Indexing and Abstracting Citation Index License Information Authors How can I publish my paper? Instructions to Authors Benefits to Authors Why Publish in IARJSET Call for Papers Check my Paper status Publication Fee Details Publication Fee Mode FAQs Author Testimonials Reviewers Topics Peer Review Current Issue & Archives Indexing FAQ’s Contact Select Page IMPACT OF PERSONALIZED PRODUCT DEMONSTRATION ON CONVERSION RATES BY CLIENT SATISFACTION IN SAAS SALES. Pavithra.S, Dr.R.Priyadarshini

Abstract: The research explores the impact of custom product demonstrations on conversion rates through an evaluation of client satisfaction in SaaS selling, particularly for software as a service. With SMEs in the service sector increasingly adopting digital solutions, complexity in SaaS platforms has the tendency to be a barrier to value understanding. Standard, typical product demonstrations fail to connect customers such as these; however, custom demonstrations-specifically designed to address each customer's specific operational requirements and pain areas-are a strategic move towards building confidence, improving comprehension, and boosting conversion potential. The research was conducted through monitoring the reaction of customers to customized demonstrations in sectors ranging from mobile repair to travel agencies. The primary methods included observational observations, formal feedback, and monitoring conversion. The findings reveal that customized demonstrations significantly boost client comprehension, satisfaction, and confidence in making decisions, ultimately resulting in improved conversion rates. In addition, these interactions had a high coefficient of correlation between client interaction during demonstrations and potential relationships in the long term. The implications of this research extend far: not only can SaaS companies refine their demonstration plans to suit client expectations, but SMEs also achieve speed in digital transformation through more intuitive and experiential software onboarding processes. This research adds to the growing body of literature focused on the emphasis of client- oriented strategies in B2B SaaS selling and offers actionable guidance for optimizing selling performance through customization.

Keywords: Personalized Product Demonstration, SaaS, Client Satisfaction, Conversion Rates, SMEs, Product Customization, User Engagement, Sales Strategy Downloads: | DOI: 10.17148/IARJSET.2025.12523 How to Cite: [1] Pavithra.S, Dr.R.Priyadarshini, "IMPACT OF PERSONALIZED PRODUCT DEMONSTRATION ON CONVERSION RATES BY CLIENT SATISFACTION IN SAAS SALES.," International Advanced Research Journal in Science, Engineering and Technology (IARJSET), DOI: 10.17148/IARJSET.2025.12523 Copy Citation Call for Papers Rapid Publication 24/7 April 2026 Submission: eMail paper now Notification: Immediate Publication: Immediately with eCertificates Frequency: Monthly Downloads Paper Format Copyright Form   Submit to iarjset@gmail.com or editor@iarjset.com   Submit My Paper Author CenterHow can I publish my paper? Publication Fee Why Publish in IARJSET Benefits to Authors Guidelines to Authors FAQs (Frequently Asked Questions) Author Testimonials IARJSET ManagementAims and Scope Call for Papers Editorial Board DOI and Crossref Publication Ethics Editorial Policies Publication Policies Subscription / Librarian Conference Special Issue Info ArchivesCurrent Issue & Archives Conference Special Issue Copyright © 2026 IARJSET This work is licensed under a Creative Commons Attribution 4.0 International License. Open chat

Abstract: This study investigates the influence of content marketing strategies on digital engagement, focusing on Zuan Technologies, a full-service IT solutions provider. The research addresses the evolving content marketing landscape, the need for personalized content, and the challenges in measuring ROI. The scope includes an analysis of various content types, quality, and audience targeting across different industries and business sizes. A mixed-method approach, combining quantitative data from analytics tools with qualitative insights from case studies and interviews, was employed. The findings indicate that while blog posts are useful for learning about products, they do not significantly enhance user engagement. Irregular posting schedules negatively impact audience interest, highlighting the importance of consistency. Video content, however, is perceived as more memorable and effective in capturing attention. The study concludes that a strategic mix of consistent posting, engaging video content, and personalized strategies is essential for enhancing digital engagement and fostering stronger audience connections.

Keywords: Content Marketing, Digital Engagement, Video Marketing, Social Media Interaction, Brand Trust, Consumer Engagement, Digital Marketing Strategy.

Abstract: This study provides an in-depth analysis of government subsidies and grants aimed at fostering industrial growth, focusing on key challenges and the relationship between financial support and quantified benefits. Through descriptive statistics, the analysis reveals significant variability in budget allocations and beneficiary numbers across various schemes. This disparity highlights differences in the scale and reach of these programs, prompting a need to understand the underlying policy drivers that influence resource distribution. Moreover, the study demonstrates a strong positive correlation between subsidy amounts received and observed benefits, suggesting that increased financial support directly contributes to industrial advancements. However, the challenges in subsidy distribution, such as application process delays, infrastructure gaps, and reimbursement delays, significantly impact the effectiveness of these programs. The study proposes actionable recommendations for improving subsidy allocation, addressing the identified challenges, and enhancing the overall impact of government support. These recommendations include the investigation of budget allocation policies, the analysis of beneficiary targeting, and the collection of missing data on the validity periods of schemes. The paper also suggests conducting a detailed disaggregation of subsidy types and exploring their respective impacts on the quantified benefits achieved. Additionally, the analysis calls for a comprehensive evaluation of challenges in subsidy distribution, with an emphasis on multi-instance data collection and root cause analysis to develop targeted solutions. Through these steps, the study aims to optimize the efficiency and effectiveness of government grants and subsidies, fostering sustainable industrial growth and equitable access to financial support.

Keywords: Targeting beneficiaries, quantified benefits, application process, infrastructure gaps, policy drivers, financial assistance, data analysis, equity of subsidies, efficiency analysis.

Abstract: The import documentation process plays a critical role in the smooth functioning of global trade and logistics operations. This project aims to conduct a detailed analysis and evaluation of the existing import documentation procedures in the shipping and logistics industry, focusing on the challenges, inefficiencies, and compliance risks that commonly arise.The documentation process involves a wide range of essential documents such as the Bill of Lading (B/L), Commercial Invoice, Packing List, Certificate of Origin, Import Licenses, and Customs Declaration Forms. These documents are not only necessary for the legal entry of goods into a country but also for ensuring smooth coordination between various stakeholders including importers, exporters, freight forwarders, customs brokers, and regulatory authorities.Through case studies, interviews, and data analysis, the project investigates current practices used in documentation handling-both digital and manual and highlights key bottlenecks such as data duplication, delays in document approvals, and lack of integration across systems. It further explores how the adoption of modern technologies such as Electronic Data Interchange (EDI), blockchain for document authentication, and integrated document management systems can address these issues.The final outcome of the project will be a set of strategic recommendations and a proposed model for an optimized and technology-driven import documentation process. This model aims to enhance efficiency, reduce administrative costs, ensure compliance with international trade regulations, and contribute to faster cargo clearance and delivery

Abstract: Employee engagement significantly influences employee retention, workplace satisfaction, and overall organizational performance. This empirical study explores the effectiveness of employee engagement surveys as strategic tools for enhancing workforce engagement. Data was collected from 15 mid- to large-sized firms across diverse industries using both quantitative metrics, such as satisfaction scores, productivity indices, and turnover rates, and qualitative methods, including employee focus groups and HR interviews. The findings reveal that while many organizations regularly conduct surveys, their success is highly dependent on leadership responsiveness, transparent communication, and timely follow-up actions. Organizations that implemented a clear and swift feedback loop experienced notable improvements in employee trust, engagement levels, and future survey participation, whereas others saw stagnation or decline. Key barriers identified include survey fatigue, lack of action planning, and inadequate communication. The study concludes that employee engagement surveys, when embedded within a culture of open dialogue and continuous improvement, are valuable tools for driving engagement. Recommendations include regular communication, proactive action steps, and strong leadership involvement to maximize impact.

Keywords: employee engagement, engagement surveys, workplace satisfaction, employee retention, organizational performance, leadership responsiveness, survey feedback loop, HR practices, communication strategy, continuous improvement.

Abstract: In today's dynamic global marketplace, supply chains are increasingly pressured to operate efficiently while maintaining profitability. Logistics financing solutions-such as invoice factoring, inventory financing, and supply chain finance-play a critical role in addressing liquidity challenges, improving cash flow, and enhancing operational agility. This paper examines the impact of logistics financing on supply chain efficiency and profitability, highlighting how such financial instruments enable companies to optimize working capital, reduce disruptions, and strengthen supplier relationships. The findings suggest that well-implemented logistics financing not only mitigates financial risk but also fosters a more resilient and responsive supply chain, ultimately contributing to sustainable competitive advantage. This study draws on case examples and industry data to underscore the strategic importance of integrating financial tools within logistics and supply chain management practices.

Keywords: Logistics Financing , Supply Chain Efficiency , Supply Chain Profitability, Working Capital Optimization , Supply Chain Finance

Abstract: In the modern dynamic work environment, employee satisfaction is an important factor in maintaining organizational stability and productivity. One of the most important determinants of such satisfaction is the manner in which grievances are handled within the workplace. This research seeks to investigate levels of employee satisfaction regarding existing grievance handling procedures in different sectors. With a designed survey taken amongst professionals, the study analyzes perceived fairness, transparency, responsiveness, and efficacy of grievance redressal. The evidence supports that those workers who have seen the grievance procedure as responsive and fair will likely score high on job satisfaction, organizational commitment, and managerial trust, compared to others whose grievances have not been given the required importance. Inadequate or prejudiced grievance management, on the other hand, generates discontentment, poor morale, and increased turnover intention. The research points to the critical need for establishing strong and people-focused grievance management systems as a central pillar of human resource strategy. What this research learns can inform HR practitioners and policy makers in their design of grievance systems to not only contain conflicts effectively, but also encourage employee engagement and organizational harmony.

Keywords: Employee satisfaction, Grievance handling, Conflict resolution, HR practices, Organizational trust, Workplace fairness.

Abstract: The logistics and transportation industry plays a vital role in enabling global trade, supply chain optimization, and economic development. With rapid advancements in digital technology, the sector is experiencing a significant transformation. Automation, data-driven decision-making, and real-time tracking systems are redefining traditional practices, compelling companies to innovate or risk obsolescence. This study aims to examine the logistics and transportation market landscape, evaluate the competitiveness of Femtosoft Technologies-a growing technology firm specializing in logistics solutions-and identify potential avenues for business development. The research adopts a mixed-method approach, combining quantitative data from surveys with qualitative insights from industry reports and client feedback. Key market trends such as the shift to smart logistics platforms, cloud-based operations, and increasing client demand for visibility and customization are explored in-depth. Furthermore, the study evaluates how Femtosoft Technologies is positioned in this evolving market by analyzing customer perceptions of innovation, service quality, and brand awareness. The study concludes by highlighting potential business opportunities in underserved regions, small and medium enterprise (SME) markets, and integrated logistics solutions. The findings offer strategic guidance for Femtosoft Technologies and similar firms aiming to enhance competitiveness and market share in the tech-enabled logistics industry.

Abstract: Facility management services play a pivotal role in upholding and enhancing the operational efficiency, safety, and comfort of the organizational environments. These service lines have grown out of the traditional physical maintenance of facilities to services and other offerings that have direct effects on customer satisfaction and retention. This study seeks to establish the association between facility management services and consumer retention, focusing on the intervening role of consumer satisfaction. It aims at understanding high quality FM services as a retention factor through customer satisfaction, which would give important insights for businesses wishing to increase customer loyalty and long-term commitment. Retention of customers is one of the major interests for organizations because it costs less to retain than to add new customers. The current study not only benefits the practicing facility manager and business but also adds to the pool of academic literature by furthering the understanding of where facility management and customer relationship management intersect with its comprehensive frame of reference for analyzing service quality and customer loyalty in facility management scenarios. This study concludes how facility management services are essential to improving customer satisfaction, which, in turn, serves as a mediator for the influence on customer retention. The derived knowledge from this study will aid organizations in developing better strategies for retaining customers while optimizing their FM services to create long-term value for clients.

Keywords: Service Quality, Customer Retention, Customer Satisfaction, Customer Loyalty, Mediation Analysis, Customer Expectations.

Abstract: The success of an organization is highly related to the motivation levels of the employees since motivated employees have greater job performance and commitment. The present study is aimed at studying the effect of employee motivation on job performance with regard to both intrinsic motivators like personal growth and job satisfaction, and extrinsic motivators like rewards, recognition, and career growth. Information gathered from different industries using structured questionnaires gave insights into the motivational drivers that have a significant impact on performance results. The results show that employees who are motivated not only deliver better performance but also help to create a positive organizational culture, lower turnover, and higher productivity. The research emphasizes the need for strategically crafted motivational systems as key instruments for improving employee performance and maintaining organizational success. These findings are of most benefit to human resource managers, policy designers, and professionals seeking to establish a high-performance work system.

Keywords: Employee motivation, Job performance, Intrinsic motivation, Extrinsic rewards, Organizational success, Performance enhancement

Abstract: Advanced patient monitoring systems are now more important than ever due to the changing healthcare landscape and the increasing requirement for prompt and effective patient care. Conventional approaches frequently fail to provide prompt reactions to significant shifts in a patient's condition. In this regard, the incorporation of Internet of Things (IoT) technology allows for ongoing, real-time data collecting from remote and wearable medical devices, providing a more responsive and dynamic healthcare setting. Machine learning techniques are used in the system to efficiently analyse large streams of health data and to identify minor trends and anomalies that could be early indicators of deterioration. A proactive healthcare approach is supported by this sophisticated anomaly detection, which enables healthcare providers to act quickly and enhance patient outcomes. Ultimately, the combination of machine learning and IoT gives healthcare professionals predictive insights that enable quicker, more intelligent, and more individualised patient treatment.

Keywords: ECG monitoring, machine learning, mobile health, real-time analysis, arrhythmia detection, wearable devices, healthcare technology

Abstract: The impact of professionalism on employees' working styles in various organizational contexts is examined in this study. Professionalism, which includes qualities like accountability, timeliness, communication abilities, and moral behavior, is seen to have a significant impact on how people behave and perform at work. Analyzing the effects of different levels of professionalism on workers' organization, productivity, efficiency, and teamwork is the aim of this study. A sample of 149 employees from various departments and experience levels participated in the study, which used a quantitative research methodology. To evaluate variations in working styles according to professionalism levels, descriptive statistics and ANOVA were employed. The findings show that personnel with different levels of professionalism have significantly different working styles (F = 6.057, p <.001). Metrics including task management, communication, and adaptability were consistently higher for workers who displayed greater professionalism. Furthermore, professionalism explained more than 55% of the variation in working style, according to effect size analysis, indicating a substantial correlation. These results provide credence to the idea that professionalism enhances workplace productivity by having a favorable impact on employee behavior. According to the study's findings, promoting professionalism inside a company can result in workers who are more focused, organized, and effective. It also emphasizes how important it is to have regulations and training initiatives that support professional behavior. Although the study's sample size and fixed-effect model are limitations, it provides a framework for further investigations into how organizational culture, leadership, and industry type affect employee behavior and professionalism.

Keywords: Professionalism, workplace conduct, employee development

Abstract: Image degradation due to fog and haze presents significant challenges across numerous computer vision tasks, including autonomous navigation, remote sensing, and video surveillance. Traditional dehazing and defogging methods, often based on physical models and handcrafted priors, are limited in their adaptability to diverse and dynamic real-world conditions. With the rapid advancements in artificial intelligence (AI), particularly deep learning, a wide range of data-driven approaches have emerged, demonstrating superior performance in atmospheric image restoration. This survey provides a comprehensive review of recent progress in AI-based defogging and dehazing techniques. We systematically classify existing methods into supervised, semi-supervised, and unsupervised learning frameworks, examine popular network architectures, training strategies, loss functions, and benchmark datasets. Additionally, we analyse key evaluation metrics and compare the performance of leading approaches. The paper also discusses current challenges, such as generalization, real-time inference, and the scarcity of labeled data, while outlining promising directions for future research in AI-driven visibility enhancement.

Keywords: Fog and Haze Removal

Abstract: The purpose of this study is to use data analysis methods and insights from social media platforms to investigate and evaluate consumer attitude toward the adoption of electric cars (EVs). Understanding public sentiment is crucial for promoting more seamless market adoption as EVs become a crucial component of the worldwide transition to sustainable mobility. The main goal of this study is to identify trends in consumer perceptions of EVs by using sentiment analysis methods and digital discussions. The survey also looks into a number of important aspects that influence consumer opinions, including as the cost, performance, charging infrastructure, and environmental advantages of vehicles. These components are evaluated to see if they influence sentiment in a favorable or negative way. Furthermore, the study explores the psychological and emotional aspects of customer attitudes, paying special attention to perceptions of brands, trust, and the influence of mood on buying decisions. The impact of external factors on public opinion and preparedness to embrace EVs is also examined, including market trends, governmental regulations, and incentive schemes. A mixed-methods approach will be used, integrating qualitative interpretation of customer anecdotes with quantitative sentiment scoring from social media. This study attempts to offer a thorough grasp of the changing terrain of EV adoption by coordinating consumer voice data with contextual market dynamics. The information gathered will help marketers, legislators, and automakers create more focused plans that will allay consumer worries and hasten the switch to electric vehicles

Keywords: Electric Vehicles, Consumer Sentiment, Sentiment Analysis, Social Media Insights, EV Adoption, Sustainable Mobility.

Abstract: This study examines the key factors that contribute to workforce stability, a crucial element for long-term organizational success. Using secondary data from various industries, it explores how leadership effectiveness, employee engagement, fair compensation, workplace culture, and career development influence employee retention. The findings show that strong leadership, supportive culture, competitive pay, recognition, and growth opportunities enhance employee commitment and reduce turnover. Additionally, work-life balance initiatives and regular appreciation further strengthen loyalty. By offering a comprehensive view of these interconnected factors, the study provides actionable insights for HR professionals and management seeking to build stable, engaged teams. Workforce stability is shown not as a result of isolated practices but as a strategic, organization-wide effort to create environments where employees choose to stay and contribute meaningfully. When employees feel valued and see a future with their organization, they naturally give their best. Organizations that nurture these connections lay the foundation for lasting success.

Keywords: Workforce stability, Employee retention, Leadership effectiveness, Organizational culture, Employee engagement, Compensation and benefits, Career development, Work-life balance, Employee recognition, Human resource strategies.

Abstract: A2Z Logistics plays a vital role in facilitating smooth international trade through its efficient export documentation process. As a logistics service provider, the company ensures that all mandatory documents-such as commercial invoices, packing lists, bills of lading, certificates of origin, and export licenses-are accurately prepared and submitted in compliance with international regulations. A2Z Logistics streamlines the export procedure for its clients by managing each step, from document verification and customs clearance to coordination with freight forwarders and authorities. This not only reduces the risk of delays and penalties but also ensures timely delivery and payment. The company's expertise in handling complex documentation requirements positions it as a reliable partner for businesses engaged in global trade.

Abstract: This study investigates the impact of Client Relationship Management (CRM) on business growth within coffee franchisee outlets. In an increasingly competitive food and beverage industry, maintaining strong customer relationships has become crucial for franchise success and sustainability. The research explores how CRM practices-such as personalized communication, customer loyalty programs, feedback mechanisms, and data-driven marketing-contribute to customer retention, satisfaction, and increased sales performance. Using a mixed-method approach combining surveys and interviews with franchise managers and customers, the study identifies key CRM strategies that drive business growth. The findings suggest that effective CRM implementation correlates strongly with higher customer loyalty, repeat business, and overall franchise profitability. The study concludes with recommendations for enhancing CRM frameworks to maximize growth opportunities in the coffee franchise sector.

Keywords: Client Relationship Management (CRM), Business Growth , Coffee Franchise, Customer Retention, Customer Loyalty, Franchise Management, Customer Satisfaction, Relationship Marketing, Sales Performance, CRM Strategies

Abstract: This study investigates the key factors influencing customer purchase decisions in the context of a paper distribution company. With increasing competition and evolving customer expectations, understanding the drivers behind purchasing choices is crucial for enhancing market performance. The research examines a range of factors including product quality, pricing, delivery reliability, brand reputation, environmental sustainability, and customer service. Data was collected through structured surveys and interviews with clients from various industries such as education, printing, and corporate sectors. The findings reveal that while cost-effectiveness and product consistency are primary considerations, timely delivery and eco- friendly paper options significantly impact customer loyalty and repeat purchases. This study provides actionable insights for paper distribution companies to align their strategies with customer expectations and strengthen their competitive edge in the market.

Keywords: Customer purchase decision, Paper distribution, Product quality, Price sensitivity, Delivery reliability, Brand preference, Sustainability, Customer satisfaction

Abstract: In terms of maintaining hospitals' financial health, immediate and accurate insurance claim settlement is essential to guaranteeing patients receive continuous, high-quality care. Notwithstanding the importance of it, a number of enduring issues frequently impede the current hospital insurance claim settlement procedure, such as complicated documentation requirements, ineffective manual workflows, and inadequate communication between insurance companies and healthcare providers. Delays, a decrease in transparency, and an increase in administrative the workload are all caused by these obstacles. The objective of this study is to systematically pinpoint the main inefficiencies in the hospital's insurance claim settlement procedure and offer feasible remedies to improve operational effectiveness. The study aims to identify useful breakthroughs by carrying out an in-depth look of actual hospital operations, collaborating with important stakeholders such as billing departments, insurance representatives, and healthcare administrators, and assessing the future potential of digital innovations like automated claims management tools, electronic health records (EHRs), and health information systems (HIS). The results indicate that the cornerstone for creating a quicker, more reliable, and patient-centered settlement of claims system is process standardization, strong digital integration, and open lines of communication. the findings of the study, healthcare organizations may substantially cut down on claim processing time, minimize errors, and eventually increase patient satisfaction and organizational sustainability by embracing technology while establishing a collaborative environment.

Abstract: This study titled "A Study on Effectiveness of Social Media Marketing and Promotional Efficiency" explores the growing influence of social media platforms in modern marketing strategies and their role in enhancing promotional outcomes for businesses. As the digital landscape continues to evolve, companies increasingly rely on platforms such as Facebook, Instagram, and LinkedIn to build brand awareness, engage with target audiences, and drive consumer behavior. The research adopts a quantitative approach using a structured questionnaire and Likert scale to gather responses from 201 participants of varying demographics. Through statistical analysis using SPSS software-including frequency distribution, regression, ANOVA, and chi-square tests-the study identifies key patterns in user perception, platform effectiveness, and the impact of influencer marketing. The findings highlight that Instagram is the most effective platform for visual engagement, influencer marketing significantly boosts consumer trust, and short-form video content yields high interaction rates. While social media is recognized for its ability to influence purchase decisions and enhance brand recall, the study also points out the challenges in measuring return on investment (ROI) and ensuring content relevance. Based on these insights, the study offers actionable suggestions for improving content quality, personalizing promotions, leveraging influencer partnerships, and using platform-specific strategies to optimize marketing outcomes. Overall, the research concludes that social media marketing, when strategically implemented, can be a highly effective and efficient promotional tool that contributes significantly to business growth in today's digital era.

Keywords: Social Media Marketing, Brand Awareness, Influencer Marketing, Return on Investment (ROI), Promotional Efficiency.

Abstract: Aashirvadh Global Logistics plays a vital role in facilitating smooth international trade through its efficient export documentation process. As a logistics service provider, the company ensures that all mandatory documents-such as commercial invoices, packing lists, bills of lading, certificates of origin, and export licenses-are accurately prepared and submitted in compliance with international regulations. Aashirvadh Global Logistics streamlines the export procedure for its clients by managing each step, from document verification and customs clearance to coordination with freight forwarders and authorities. This not only reduces the risk of delays and penalties but also ensures timely delivery and payment. The company's expertise in handling complex documentation requirements positions it as a reliable partner for businesses engaged in global trade.

+91-7667918914 iarjset@gmail.com 0 Items International Advanced Research Journal in Science, Engineering and Technology A Monthly Peer-Reviewed Multidisciplinary Journal ISSN Online 2393-8021 ISSN Print 2394-1588 Since 2014 Home About About IARJSET Aims and Scope Editorial Board Editorial Policies Publication Ethics Publication Policies Indexing and Abstracting Citation Index License Information Authors How can I publish my paper? Instructions to Authors Benefits to Authors Why Publish in IARJSET Call for Papers Check my Paper status Publication Fee Details Publication Fee Mode FAQs Author Testimonials Reviewers Topics Peer Review Current Issue & Archives Indexing FAQ’s Contact Select Page The Effectiveness of Branding in Real Estate Sector on Consumer Purchase Decision Mr. Jai Shanmuga Damodar J, Dr. M. Kotteeswaran

Abstract: In today's competitive real estate market, branding plays a significant role in shaping consumer purchase decisions. This study aims to understand the impact of branding strategies on customer behavior in the context of DAC Developers Private Limited. With the increasing involvement of digital media and rising consumer expectations, branding is no longer optional but an essential element for builders to distinguish themselves. The research methodology included a structured questionnaire filled by 110 participants, and data was analyzed using various statistical tools such as percentage analysis, Chi-Square, and ANOVA. The study revealed that branding components such as trust, brand image, digital presence, and communication have a direct impact on the consumer decisionmaking process. It was also observed that demographic factors have minimal influence, with the exception of educational qualification impacting views on investment safety. This article offers practical insights and recommendations for real estate firms to develop customer-centric branding strategies.

Keywords: Real Estate, Branding, Consumer Behavior, Digital Marketing, Purchase Decision, Trust, ANOVA, Chi-Square. Downloads: | DOI: 10.17148/IARJSET.2025.12544 How to Cite: [1] Mr. Jai Shanmuga Damodar J, Dr. M. Kotteeswaran, "The Effectiveness of Branding in Real Estate Sector on Consumer Purchase Decision," International Advanced Research Journal in Science, Engineering and Technology (IARJSET), DOI: 10.17148/IARJSET.2025.12544 Copy Citation Call for Papers Rapid Publication 24/7 April 2026 Submission: eMail paper now Notification: Immediate Publication: Immediately with eCertificates Frequency: Monthly Downloads Paper Format Copyright Form   Submit to iarjset@gmail.com or editor@iarjset.com   Submit My Paper Author CenterHow can I publish my paper? Publication Fee Why Publish in IARJSET Benefits to Authors Guidelines to Authors FAQs (Frequently Asked Questions) Author Testimonials IARJSET ManagementAims and Scope Call for Papers Editorial Board DOI and Crossref Publication Ethics Editorial Policies Publication Policies Subscription / Librarian Conference Special Issue Info ArchivesCurrent Issue & Archives Conference Special Issue Copyright © 2026 IARJSET This work is licensed under a Creative Commons Attribution 4.0 International License. Open chat

Abstract: The dynamic nature of today's business environment demands a skilled, adaptable, and competent workforce. This study explores the impact of competency mapping on employee performance, satisfaction, and organizational growth. Competency mapping is a strategic HR tool used to identify key competencies required for various roles within an organization and match them with individual capabilities. The primary objective of this research is to examine how competency mapping influences employee skill, knowledge, ability, and behaviour. A structured questionnaire was used to gather data from employees at Nexone Resources India Pvt Ltd. The results indicate that effective competency mapping leads to improved job clarity, better alignment between individual and organizational goals, and increased employee engagement. This study concludes that incorporating competency mapping into HR practices not only boosts individual performance but also contributes significantly to the overall efficiency and competitiveness of the organization.

Keywords: Competency mapping - Employee Skill - Knowledge - Ability - Behavior.

Abstract: This study aims to analyze and upgrade the customs clearance and freight forwarding processes at Samporto Freight Forwarding Pvt. Ltd., a logistics company engaged in global cargo movement. The research identifies inefficiencies and bottlenecks in the current operational framework, including documentation delays, compliance challenges, and coordination gaps between stakeholders. Using a combination of qualitative analysis, process mapping, and industry benchmarking, the study evaluates current practices against global best standards. Recommendations are proposed to streamline workflows, implement digital solutions, and enhance regulatory compliance, with the goal of reducing clearance time, improving customer satisfaction, and boosting overall operational efficiency. The upgraded process framework is designed to support scalable growth and align with evolving international trade requirements.

Abstract: This study investigates the effectiveness of training and development programs in enhancing employee performance and organizational productivity. Training and development are vital components of human resource management that aim to improve skills, knowledge, and competencies of employees. The research analyzes various methods of training, their implementation, and their impact on both individual and organizational outcomes. Using a combination of surveys, interviews, and performance metrics, the study evaluates the extent to which training programs meet their objectives and contribute to achieving strategic goals. The results highlight the importance of aligning training initiatives with organizational needs, employee engagement, and continuous evaluation. The findings provide valuable insights for HR professionals and decision-makers to design more effective training strategies that foster growth and long-term success. The study examines how structured training initiatives contribute to employee performance, productivity, and organizational growth. Through qualitative and quantitative data analysis, the research identifies key success factors, common challenges, and best practices in implementing effective training strategies. The findings suggest that well-designed training and development programs not only improve technical skills and job satisfaction but also reduce employee turnover and enhance innovation. The rapid evolution of technology in the IT sector demands constant adaptation, making training and development programs a critical aspect of organizational success. This research explores the effectiveness of training and development initiatives within IT solutions companies, focusing on how these programs impact employee performance, skill enhancement, and overall organizational growth. As the IT industry faces continuous technological advancements and increasing competition, it is essential for organizations to equip their workforce with the knowledge and capabilities needed to remain competitive

Keywords: REACTION - LEARNING - BEHAVIOURS - ORGANIZATIONAL RESULTS.

Abstract: This study investigates the role and effectiveness of social media marketing (SMM) in enhancing brand awareness and lead generation within Femtosoft Technologies, a Chennai-based IT solutions firm. With digital platforms becoming a central part of consumer interaction, businesses are leveraging social media channels to promote brand identity, engage audiences, and generate sales leads. This study explores how targeted social media efforts, including paid campaigns, influencer collaborations, content strategy, and engagement metrics, contribute to the visibility and growth of Femtosoft's brand. Primary and secondary data were collected through surveys, interviews with marketing professionals, and analysis of campaign performance reports. Statistical tools such as regression analysis and correlation methods were used to determine the relationship between social media engagement and lead generation outcomes. Findings reveal a significant impact of consistent social media presence and well-planned marketing campaigns on the company's digital outreach and conversion funnel. This paper concludes with strategic recommendations for leveraging social media as a long-term marketing asset.

Keywords: Social Media Marketing, Brand Awareness, Digital Engagement, Lead Generation, Marketing Strategy, Online Branding, Content Marketing, Femtosoft Technology.

+91-7667918914 iarjset@gmail.com 0 Items International Advanced Research Journal in Science, Engineering and Technology A Monthly Peer-Reviewed Multidisciplinary Journal ISSN Online 2393-8021 ISSN Print 2394-1588 Since 2014 Home About About IARJSET Aims and Scope Editorial Board Editorial Policies Publication Ethics Publication Policies Indexing and Abstracting Citation Index License Information Authors How can I publish my paper? Instructions to Authors Benefits to Authors Why Publish in IARJSET Call for Papers Check my Paper status Publication Fee Details Publication Fee Mode FAQs Author Testimonials Reviewers Topics Peer Review Current Issue & Archives Indexing FAQ’s Contact Select Page WIRELESS GREENHOUSE MONITORING USING CONTROLLER AND SENSOR ARRAY FOR SUSTAINABLE CROP PRODUCTION Telugu Maddileti, Jangili Meghana, Jilani Juveriya, Gandla Sai Varun

Abstract: Smart farming has revolutionized the agricultural sector by addressing the limitations of traditional farming practices through the integration of advanced technologies. In agrarian economies like India, where a large part of the population relies on farming for livelihood, issues such as unpredictable weather, soil degradation, inefficient resource use, and labour shortages significantly affect productivity and sustainability. Smart farming uses technologies like the Internet of Things (IoT), artificial intelligence (AI), automation, and data analytics to optimize agricultural operations. One key innovation in smart agriculture is the Wireless Greenhouse Monitoring System, which helps maintain optimal conditions for plant growth. This system uses a network of sensors to monitor vital environmental parameters including temperature, humidity, CO₂ levels, soil moisture, and light intensity. The data collected is processed by microcontroller platforms such as Arduino, ESP32, or Raspberry Pi. Based on the data, the system can automatically adjust irrigation, lighting, ventilation, and heating to maintain ideal growing conditions. Wireless communication protocols like WiFi, Zigbee, or LoRa WAN allow the system to transmit real-time data to cloud-based platforms. Farmers can monitor and control greenhouse conditions remotely using mobile or web applications. This ensures timely interventions and reduces the need for constant physical presence. The implementation of a wireless greenhouse monitoring system offers numerous benefits: improved crop quality and yield, reduced water and fertilizer usage, lower labour dependency, and minimized environmental impact. Moreover, it reduces the need for chemical pesticides by maintaining healthier crop environments. Such smart solutions promote sustainable, efficient, and climate-resilient agriculture, aligning with global environmental goals while empowering farmers with data-driven decision-making tools.

Keywords: Smart farming, LoRa WAN, Zigbee, Arduino, Raspberry Pi, Greenhouse Monitoring etc, Downloads: | DOI: 10.17148/IARJSET.2025.12550 How to Cite: [1] Telugu Maddileti, Jangili Meghana, Jilani Juveriya, Gandla Sai Varun, "WIRELESS GREENHOUSE MONITORING USING CONTROLLER AND SENSOR ARRAY FOR SUSTAINABLE CROP PRODUCTION," International Advanced Research Journal in Science, Engineering and Technology (IARJSET), DOI: 10.17148/IARJSET.2025.12550 Copy Citation Call for Papers Rapid Publication 24/7 April 2026 Submission: eMail paper now Notification: Immediate Publication: Immediately with eCertificates Frequency: Monthly Downloads Paper Format Copyright Form   Submit to iarjset@gmail.com or editor@iarjset.com   Submit My Paper Author CenterHow can I publish my paper? Publication Fee Why Publish in IARJSET Benefits to Authors Guidelines to Authors FAQs (Frequently Asked Questions) Author Testimonials IARJSET ManagementAims and Scope Call for Papers Editorial Board DOI and Crossref Publication Ethics Editorial Policies Publication Policies Subscription / Librarian Conference Special Issue Info ArchivesCurrent Issue & Archives Conference Special Issue Copyright © 2026 IARJSET This work is licensed under a Creative Commons Attribution 4.0 International License. Open chat

Abstract: The term "organizational citizenship behavior" (OCB) describes employees' voluntary, extra-role activities that greatly improve organizational performance but are not formally rewarded. Beyond official job obligations, these behaviors-such as civic virtue, conscientiousness, civility, sportsmanship, and altruism-support a healthy work environment and help the business succeed. OCB is becoming more and more important in the competitive and fast-paced corporate environment of today. These behaviors are influenced by elements such as personality qualities, organizational commitment, leadership style, and work satisfaction. Higher levels of OCB are frequently fostered by inclusive workplace cultures and supportive leadership, which enhances teamwork, productivity, and lowers attrition. This paper examines the dimensions, antecedents, and outcomes of OCB, emphasizing the role of HR practices and organizational culture in promoting such behaviour. Encouraging OCB can provide a strategic advantage, helping organizations adapt and thrive in a constantly evolving environment.

Keywords: Organizational Citizenship Behavior, extra-role activities, altruism, conscientiousness, sportsmanship, civic virtue, workplace culture, leadership style, employee engagement, organizational commitment.

Abstract: Employee cognitive behaviors are the internal mental processes and thought patterns that influence how people see, understand, and react to their workplace. These actions have a significant impact on motivation, learning, decision-making, problem-solving, and attention. Goal-setting, self-monitoring, critical thinking, flexibility, and cognitive assessment are important cognitive habits in the job. They have an immediate effect on teamwork, job performance, and the general efficacy of the organization. Cognitively flexible workers adjust to change more readily, whereas reflective thinkers typically learn new things and get better over time. Several factors-such as leadership style, organizational culture, job design, and psychological safety-play a significant role in shaping these behaviors. Organizations that encourage autonomy, communication, and a learning-oriented environment are more likely to promote positive cognitive behavior. By understanding and nurturing these cognitive patterns, companies can enhance employee engagement, resilience, and innovation, thereby building a more adaptable and high-performing workforce in today's dynamic business landscape.

Keywords: cognitive behaviors, decision-making, problem-solving, critical thinking, adaptability, cognitive flexibility, employee engagement, organizational culture, psychological safety, workplace motivation

Abstract: In the evolving logistics landscape, last-mile delivery stands as a critical determinant of customer satisfaction and operational efficiency. This study, conducted at SafExpress Logistics Pvt. Ltd., aims to enhance key performance indicators (KPIs) related to last-mile delivery by identifying operational bottlenecks and proposing practical improvement strategies. Using a combination of surveys, interviews, observational studies, and secondary data analysis, the project evaluates existing performance metrics such as on-time delivery rate, first-attempt success, and customer satisfaction. The research highlights major challenges, including traffic congestion, address errors, and customer unavailability. Key recommendations include AI-based route optimization, real-time tracking, delivery window scheduling, employee training, and incentive programs. The study concludes that strategic technology adoption and customer-centric practices can significantly improve delivery performance, reduce costs, and strengthen SafExpress's competitive position in the logistics sector.

Abstract: In an increasingly competitive financial services market, understanding the factors that influence customer choice of personal loans has become critical for lenders. This study examines how key variables-interest rates, repayment tenure, and brand trust-impact customer decisions when selecting personal loan products. Through a structured survey distributed to a diverse sample of borrowers, the research analyzes consumer preferences and priorities in loan selection. The findings reveal that while low interest rates remain a dominant factor, flexible repayment terms and the perceived trustworthiness of the lending brand also play significant roles in shaping customer choices. The study highlights the growing importance of transparent communication, customer service, and brand credibility in building consumer confidence. These insights can guide financial institutions in designing loan offerings that are both competitive and customer-centric, ultimately enhancing customer acquisition and retention.

Keywords: Repayment Tenure, AI in recruitment, Financial Services, Loan Preferences

Abstract: This study explores the key factors that influence organizational performances with regard to the interaction between organizational culture, work environment, and employee retention. Using a descriptive research design, the data were collected from 50 employees with the help of structured questionnaires and analyzed through SPSS, Excel, and Tableau. Results showed a moderately strong correlation (r = 0.6058) between communication openness and cultural success, which indicates that the transparent communication is of essence to building a nurturant organizational culture. However, regression analysis exhibited weak predictive ability (R²=0.0283) and no statistically significant relationship (p=0.248) between the independent variables chosen and organizational performance, suggesting that other variables have influenced organizational performance in ways that are not assessed in this study. A majority of the sample were young professionals (76% between the ages of 19 and 24) having less work experience (68% having less than a year), with a few gender imbalances (64% being female) that might affect the generalizability of these results. The study recommends that organizational policies foster open communication, mentorship programs, gender diversity, and HR philosophy that meet employees' expectations for engagement and retention. Such insights would support organizations in launching performance-enhancing initiatives grounded on hard data.

Keywords: Organizational Performance, Human Resource Strategies, Work Environment, Employee Retention, Organizational Behaviour.

Abstract: This study explores the impact of interactive digital advertisements on impulse buying behavior among college students, with a focus on consumer engagement and platform usage. Using responses from 290 participants and non-parametric analyses (Spearman's correlation, ANOVA, and Regression), the findings reveal significant positive relationships between all three predictors and impulsive buying, with consumer engagement showing the strongest influence. Gender-based differences were also statistically significant. The study suggests that marketers should prioritize emotionally engaging and interactive ad content tailored to younger audiences to enhance impulse purchases and maximize advertising effectiveness. The results underscore the importance of platform-specific strategies and highlight the psychological drivers of impulsive consumer behavior in the digital age. By leveraging interactivity and personalization, brands can build stronger emotional connections and influence purchasing decisions more effectively. Future research could explore longitudinal effects and compare cross-cultural differences in digital ad responsiveness.

Keywords: interactive ads, impulse buying, consumer engagement, digital platforms, college students

Abstract: Corporate governance is a key driver of firm performance, and the role of managerial behavioral biases, most notably overconfidence, is still a relevant but understudied factor. This research investigates how corporate governance mechanisms combine with managerial overconfidence to impact firm performance. While sound governance arrangements-like independent boards, robust shareholder rights, and disclosure practices that are transparent-are known to boost accountability and decision-making, overconfident managers can counter these advantages by exaggerating their capacities, downplaying risks, and defying scrutiny. Employing both empirical methodology and theoretical discussion, this study examines whether effective corporate governance can alleviate the adverse implications of managerial overconfidence, including excessive risk-taking, overinvestment, and poor financial performance. Alternatively, overconfident managers might have more power in weakly governed firms, which results in value-destroying choices. The research also examines industry-specific and institutional differences, taking into account the ways in which divergent regulatory contexts and market situations influence these interactions. Early results indicate that even though good governance structures can mitigate the negative consequences of overconfident managers to some extent, their power relies on the level of board independence, incentive alignment, and external monitoring. The paper enriches corporate governance research by merging behavioral finance insights, providing a more subtle picture of how psychological biases interact with the organizational architecture. Practical implications are suggestions for governance reforms, increased director training, and compensation policies that deter overconfident behavior while encouraging long-term value creation.

Keywords: Corporate governance, firm performance, managerial overconfidence.

Abstract: This study focuses on the optimization of Container Freight Station (CFS) operations within Global Logistics Solutions Pvt. Ltd., a key player in the international supply chain industry. Container Freight Stations play a vital role in facilitating efficient cargo movement between ports and inland destinations by enabling consolidation, deconsolidation, storage, and customs clearance of containerized cargo. However, challenges such as operational delays, inadequate infrastructure, manual documentation, and lack of digital integration continue to impact overall performance and customer satisfaction. The primary objective of this research is to analyze the current operational workflow of the CFS, identify inefficiencies, and recommend practical solutions for improvement. Using both qualitative and quantitative methods-including staff interviews, structured questionnaires, and process observations-the study assesses the effectiveness of handling, documentation, tracking, and coordination mechanisms. Particular attention is given to the integration of technology, workforce training, and resource allocation in optimizing throughput time and service quality. Findings reveal that automation of documentation, real-time cargo tracking, better coordination with customs authorities, and investment in infrastructure can significantly improve the performance of CFS operations. The study concludes with actionable recommendations aimed at reducing turnaround time, minimizing costs, and enhancing customer satisfaction, thereby strengthening Global Logistics Solutions Pvt. Ltd.'s competitiveness in global logistics.

Abstract: The research investigates the impact of flexible work arrangements (FWAs) on employee productivity within the Information Services sector, with a particular emphasis on the SaaS (Software as a Service) industry. As organizations increasingly embrace remote and hybrid work models, especially in the post-pandemic landscape, understanding how such flexibility affects individual and organizational performance becomes critical. Flexible work arrangements-ranging from telecommuting to flextime and compressed workweeks-are seen as tools to improve employee well-being and engagement, but questions remain about their direct correlation with productivity outcomes. The study employs a mixed-method approach, combining structured surveys and interviews with IT professionals, alongside the analysis of secondary data from industry reports. Findings suggest that flexible work models significantly influence productivity, but the outcomes vary based on factors such as managerial support, communication tools, job role, and organizational culture. Employees reporting higher autonomy and better work-life balance under flexible models showed increased motivation and output, whereas poor coordination or lack of support mechanisms led to declines in performance. The implications of this research are twofold: firstly, it provides a framework for understanding how FWAs can be structured to maximize employee output; secondly, it offers strategic recommendations for SaaS firms aiming to refine HR policies in alignment with evolving workforce expectations. This study contributes to the broader discourse on modern workplace practices and provides actionable insights for business leaders seeking to leverage flexibility as a driver of productivity and organizational resilience.

Keywords: Flexible Work Arrangements, Employee Productivity, Remote Work, Hybrid Work Model, Work-Life Balance, SaaS Industry, Employee Engagement, Organizational Performance.

Abstract: The efficiency of inbound logistics plays a critical role in maintaining the overall performance and service quality of express parcel delivery services. This project, conducted at Blue Dart Express Limited, focuses on optimizing the inbound process at the airport hub. The objective is to identify process inefficiencies and implement practical improvements to enhance throughput without compromising accuracy or service standards. The study examines the core activities involved in the Inbound process-acknowledgment, segregation, sorting, linking, and networking-and identifies key time-consuming bottlenecks. Through data analysis, process mapping, and stakeholder interviews, areas requiring intervention were highlighted. The project proposes actionable solutions to reduce delays and improve coordination across departments. Expected outcomes include faster processing times, and increased overall productivity of the inbound logistics operation. These improvements will contribute to higher customer satisfaction and strengthen Blue Dart's position as a market leader in express logistics.

Abstract: This study investigates the impact of gamification on employee engagement at Rane Brake Lining Limited (RBL), a prominent manufacturer in the automotive friction materials sector. Gamification, defined as the integration of game design elements in non-game contexts, is increasingly adopted by organizations seeking to enhance motivation, productivity, and employee satisfaction. Using a descriptive research methodology, supported by statistical tools such as Chi-square tests and ANOVA, this study analyses how elements like leader boards, badges, challenges, and real-time feedback influence engagement levels among employees across different demographics. The findings reveal that gamification significantly improves workplace engagement by making routine tasks more interactive and rewarding. Employees reported higher motivation and job satisfaction when tasks were gamified and feedback was immediate. Moreover, the study identifies that age plays a critical role in shaping responses to gamified activities, indicating the importance of designing age-sensitive engagement strategies. Younger employees showed a stronger preference for competitive elements like points and leader boards, while older employees valued meaningful progress tracking and collaborative challenges. While the benefits of gamification are substantial, the study also highlights potential risks, such as diminishing intrinsic motivation if gamified systems focus excessively on external rewards. Therefore, organizations must carefully balance intrinsic and extrinsic motivators to sustain long-term engagement. In conclusion, the research underscores that thoughtful implementation of gamification can transform traditional HR practices by creating a dynamic, engaging, and emotionally connected workplace culture. The insights from RBL demonstrate how manufacturing industries, often seen as traditional in their employee management approaches, can successfully adopt gamified strategies to enhance organizational performance and employee well-being. Future research can expand this understanding by exploring the long-term impacts of gamification across various industrial sectors.

Keywords: Gamification, Employee Engagement, Motivation, Workplace Innovation, Human Resource Management (HRM), Organizational Performance.

Abstract: Effective performance appraisal systems are critical for organizational success, yet many companies struggle with outdated approaches that fail to engage employees or drive performance. This study investigates the effectiveness of contemporary performance management systems through comprehensive research involving 51 employees across multiple organizations. The research identifies significant limitations in traditional annual appraisal systems, with only 32% of employees finding them valuable for professional growth. In contrast, continuous feedback models demonstrate superior outcomes, showing 28% higher engagement, 22% improved productivity, and 18% lower turnover rates. The study particularly highlights the effectiveness of 360-degree feedback systems, which improve managerial ratings by 35%, though requiring substantial training investment. Key challenges include inadequate manager training (reported by 65% of participants), unclear evaluation criteria (42%), and weak connections between appraisals and development plans (only 38% effectiveness). Digital transformation emerges as a crucial factor, with AI-assisted analytics improving rating consistency by 33% and mobile platforms increasing participation by 55%. The findings emphasize the importance of modernizing performance management through continuous feedback mechanisms, manager capability development, and technology integration. Organizations implementing these changes achieve measurable benefits, including 30% faster promotion cycles and stronger performance-goal alignment. This research provides actionable insights for developing appraisal systems that enhance both employee experience and organizational outcomes in today's evolving workplace.

Abstract: The real estate industry plays a vital role in economic development and urban planning, but its success heavily depends on understanding the target audience and their evolving preferences. As consumer expectations shift due to changes in lifestyle, income levels, technology, and market awareness, real estate developers must adapt their strategies to meet these dynamic demands. This study focuses on identifying and analyzing the preferences of the target audience in the real estate sector, with the goal of offering actionable insights to developers, marketers, and investors. The research is based on a combination of primary data collected through structured surveys and interviews, as well as secondary data from industry reports and real estate databases. Key demographic factors such as age, income, family structure, occupation, and location preferences were considered to segment the target audience. The study further explores how factors like amenities, pricing, connectivity, security, brand reputation, and digital engagement influence purchase decisions. Findings indicate that while affordability and location remain top priorities, there is an increasing demand for smart homes, sustainable features, and community-based living-especially among younger buyers and working professionals. Digital platforms and virtual property tours have also become major decision-making tools, highlighting the growing role of technology in real estate marketing. The study also discusses how developers can tailor their offerings to different audience segments-such as first-time homebuyers, investors, and retirees-by aligning with their specific preferences and concerns. Moreover, it emphasizes the importance of continuous market research and data analytics in understanding customer behavior and staying ahead in a highly competitive market. This research contributes to a deeper understanding of consumer psychology in real estate and underscores the need for customer-centric approaches in property development and marketing strategies.

Keywords: Consumer Behavior, Buyer Preferences, Real Estate Marketing, Digital Engagement, Purchase Decision

Abstract: Human efficiency is a critical determinant of productivity in manufacturing, especially in high-output industries like gear production. This study investigates and compares the human efficiency of two structurally identical plants - Plant 1 and Plant 2 - within the same gear manufacturing company. Both facilities operate 22 hours per day with nine identical production processes, producing 35,000 units per batch. Factors including machine idle time, operator training, shift variations, and maintenance schedules were examined from January to March 2025. Through descriptive statistics, correlation, and regression analyses, we uncover how operational variables influence human efficiency and identify strategic recommendations for improvement.

Abstract: The fast-paced nature of the IT industry often brings high stress and employee turnover, making job satisfaction and productivity critical for long-term success This work explores how organizations can create environments where employees feel happy engaged, and motivated to perform at their best. Key factors influencing job satisfaction such as work-life balance, career growth opportunities, recognition, and a healthy work environment-are examined in relation to overall productivity. A major focus is placed on the power of a positive workplace culture and effective leadership in driving employee engagement. Flexible work options, including remote work and adjustable schedules, are highlighted as particularly impactful in increasing both satisfaction and performance. When employees feel valued, supported in their growth, and trusted with flexibility, they are more likely to be productive, committed, and stay with the organization. Recognition programs and strong leadership further enhance motivation and a sense of belonging. Additionally, the use of appropriate tools and technologies can ease workloads, reduce stress, and improve efficiency Ultimately, the findings suggest that IT companies can thrive by investing in their people creating flexible, supportive, and growth-oriented work environments that align with modern employee needs and expectations Strong teamwork, inclusive practices, and access to modern tools and technologies also contribute to reduced stress and increased efficiency. Recognition programs, mentoring, and transparent leadership foster a sense of belonging and trust. Ultimately, organizations that prioritize well-being, professional development, psychological safety, and flexibility not only retain top talent but also unlock higher levels of innovation, collaboration, and business success.

Keywords: Job Satisfaction, Employee Productivity, Employee Engagement, Workplace Culture, Leadership, Organizational Success, Motivation

Abstract: Investor behavior plays a crucial role in stock market dynamics, influencing trading patterns, market volatility, and asset pricing. This study examines the key psychological, economic, and social factors affecting investor decision-making in the stock market. Using a combination of survey data and empirical analysis, the research explores how cognitive biases (such as overconfidence, herd mentality, and loss aversion), financial literacy, market information, and macroeconomic conditions shape investment choices. The findings reveal that emotional biases and social influences significantly impact trading behaviour, often leading to suboptimal decisions. Additionally, the study highlights the role of demographic factors-such as age, income, and experience-in determining risk tolerance and investment strategies. By identifying these behavioal drivers, this research provides valuable insights for financial advisors, policymakers, and market regulators seeking to enhance investor education and market stability. The study contributes to behavioral finance literature by bridging the gap between theoretical models and real-world investment behaviour.

Keywords: Investment Decision Making, Stock Market, Risk Perception, Behavioral Finance, Market Volatility.

Abstract: This research examines the influence of workplace diversity on employee satisfaction, highlighting its growing significance in driving contemporary organizational success. As teams become more heterogeneous in terms of gender, ethnicity, age, race, and cognitive differences, companies are increasingly tasked with managing this diversity to create inclusive and fulfilling work environments. Utilizing a mixed-methods strategy-including both surveys and in-depth interviews conducted across various industries and regions-this study analyzes how multiple aspects of diversity affect employee engagement and satisfaction. A thorough review of existing literature reveals both the opportunities and obstacles associated with diverse workplaces, stressing the critical role of inclusive policies, committed leadership, and equitable diversity management. The study further identifies important gaps in current research, such as the need for deeper insights into intersectionality, the long-term impact of diversity, and the adaptability of diversity strategies across cultures. The outcomes of this research are intended to guide organizations in enhancing employee satisfaction through well-implemented diversity and inclusion initiatives, ultimately leading to better organizational performance and employee well-being.

Keywords: Workplace Diversity, Employee Satisfaction, Inclusion, Organizational Culture, Diversity, Employee Engagement and Organizational Commitment

Abstract: This study investigates the effectiveness of various recruitment strategies adopted by HR consultancy firms, with a specific focus on Ramsol Private Limited. In the rapidly evolving employment landscape, recruitment consultancies play a crucial role in bridging the gap between talent supply and organizational demand. The research aims to evaluate the impact of different recruitment methodologies-including traditional approaches, digital platforms, employee referrals, and campus placements-on key performance indicators such as time-to-hire, cost-efficiency, candidate quality, and client satisfaction. A mixed-method approach, involving quantitative data analysis and qualitative interviews with HR professionals and clients, was employed to assess the success rate of each strategy. The findings reveal that technology-driven recruitment solutions and data analytics have significantly enhanced recruitment outcomes, although traditional methods still hold relevance in certain sectors. The paper concludes with strategic recommendations for optimizing recruitment practices in HR consultancy firms, contributing to both operational efficiency and improved client relationships.

Keywords: Recruitment Strategies, HR Consultancy Firms, Talent Acquisition, Time-to-Hire, Cost-Efficiency, Candidate Quality, Client Satisfaction

Abstract: This project explores the critical role of customs brokers in facilitating import operations within the Indian logistics landscape. Customs brokers are key intermediaries who ensure that imported goods are processed efficiently and legally through customs. They are responsible for managing documentation, ensuring regulatory compliance, coordinating with government agencies, and expediting cargo clearance. The study specifically examines the operations of ACR Global Logistics Pvt. Ltd., a major logistics company offering end-to-end customs clearance solutions. A mixed-method research methodology, including surveys and interviews, was used to evaluate the current practices and challenges faced by customs brokers. The findings highlight the impact of digital transformation, regulatory frameworks, and operational pressures on the profession. The study concludes by recommending technological upgrades, improved training, and process optimization strategies to enhance the performance and strategic importance of customs brokers in India's import ecosystem.

Keywords: Customs brokers, Indian logistics, cargo clearance, regulatory compliance, customs brokers, documentation.

Abstract: Clearance and forwarding (C&F) agents play a crucial role in international trade and logistics by facilitating the smooth movement of goods across borders. This study examines the functions, responsibilities, and challenges faced by C&F agents in ensuring efficient customs clearance and freight forwarding. It explores the regulatory frameworks governing their operations, their role in supply chain management, and the impact of technological advancements on their services. The research also highlights key issues such as customs compliance, documentation requirements, and cost implications for businesses. Through a detailed analysis, this study aims to provide insights into how C&F agents enhance trade efficiency and contribute to global logistics networks.

Keywords: international trade, logistics, customs clearance, freight forwarding, supply chain management, clearance and forwarding agents

Abstract: The air cargo industry plays a critical role in the global supply chain by ensuring the rapid and secure movement of goods across continents. This report explores the operational framework and management strategies employed in air cargo terminals, focusing on the seamless coordination between logistics, warehousing, security, and regulatory compliance. Air cargo terminals act as vital nodes where freight is received, sorted, stored, and dispatched efficiently, requiring robust infrastructure and advanced technologies such as automated handling systems, real-time tracking, and integrated inventory control. Effective management of these terminals involves meticulous planning, adherence to international standards, collaboration with customs authorities, and optimization of turnaround times to enhance throughput and customer satisfaction. This profile also addresses key challenges including capacity constraints, security threats, and the impact of global disruptions like pandemics. By examining current practices and innovations, the study aims to provide insights into improving the efficiency, reliability, and sustainability of air cargo terminal operations. Air cargo terminals serve as essential hubs in the global logistics ecosystem, facilitating the swift movement of high-value and time-sensitive goods across international and domestic routes. This industry profile delves into the structure, function, and operational intricacies of air cargo terminal management. It highlights how air cargo terminals are designed to support the flow of imports, exports, transshipments, and domestic freight, requiring a harmonious integration of infrastructure, manpower, technology, and regulatory frameworks. The operations within a cargo terminal encompass a wide array of activities, including cargo acceptance, security screening, documentation processing, storage, customs clearance, and ULD (Unit Load Device) build-up and breakdown. Effective management of these processes ensures minimal dwell time, reduced operational costs, and enhanced cargo throughput. In today's competitive environment, the adoption of automation, digital documentation (eAWB), RFID tagging, and warehouse management systems (WMS) has transformed traditional cargo handling into a tech-driven, data-informed process. This study further examines the role of key stakeholders such as airlines, freight forwarders, ground handling agents, and customs authorities in achieving seamless coordination. The importance of adhering to international safety and security standards (such as IATA, ICAO, and WCO) is emphasized, particularly in light of increasing threats, compliance requirements, and the need for resilience in the face of disruptions like pandemics or geopolitical crises. Furthermore, the report discusses strategic aspects such as terminal layout planning, resource allocation, sustainability initiatives (like green logistics), and performance KPIs that drive operational excellence. By analysing real-world challenges-such as congestion, fluctuating cargo volumes, and labour shortages-the study proposes a roadmap for modernizing air cargo terminal operations to meet future demands.

Abstract: This study aims to provide an in-depth analysis of the import and export clearance procedures undertaken by Asian Global Shipping Agencies Pvt Ltd (AGSA), a prominent Customs House Agent (CHA) operating in India's dynamic logistics and freight forwarding industry. The research explores each stage of the clearance process, from documentation and regulatory compliance to coordination with customs authorities and allied logistics partners. By examining AGSA's operational framework, the study identifies key practices that ensure timely and compliant cargo movement across international borders. Special attention is given to the challenges faced in customs clearance such as documentation delays, regulatory changes, and stakeholder coordination as well as the company's strategic approaches to overcoming them. Through field observations, employee interviews, and secondary data analysis, this research also highlights opportunities for improving process efficiency, digital integration, and stakeholder collaboration. Ultimately, the study underscores the critical role that CHA companies like AGSA play in enabling smooth global trade and enhancing India's supply chain competitiveness. • Import Clearance • Export Clearance • Customs House Agent (CHA) • Logistics • Freight Forwarding.

Abstract: This paper provides a detailed analysis of the liquidity position of Tamil Nadu Generation and Distribution Corporation Limited (TANGEDCO), a key player in the Indian power sector. Through comparative analysis with three other State Electricity Boards (SEBs)-BESCOM, UPPCL, and MSEDCL-this study identifies financial challenges, assesses short-term solvency, and presents strategic recommendations for improved liquidity management. It uses financial ratios, working capital trends, and benchmarking to analyses TANGEDCO's liquidity performance over time. The goal is to assist policymakers, financial planners, and utility managers in formulating sustainable financial strategies.

Abstract: Mobile applications have revolutionized the way people interact with technology, offering enhanced user experiences, personalized content, and seamless integration with device features. This paper provides a comprehensive analysis of the mobile app ecosystem, exploring the advantages, challenges, and future trends in mobile application development. The study covers various types of mobile apps, including native, hybrid, and web-based applications, comparing their features, benefits, and drawbacks. The advantages of mobile apps are discussed, such as improved user experience, access to device functionalities, offline capabilities, and monetization opportunities. However, the paper also highlights the challenges associated with mobile app development, including high development costs, platform fragmentation, app store approval processes, security concerns, and discoverability issues. The comparative analysis between mobile apps and web apps, as well as the differences between native, hybrid, and web-based applications, provides insights into the strengths and weaknesses of each approach. The paper presents case studies from diverse industries, including e-commerce, healthcare, and education, to demonstrate the successful integration of mobile apps and the challenges faced in real-world contexts. Future trends in mobile app development are explored, focusing on the rise of Progressive Web Apps (PWAs), the integration of Artificial Intelligence (AI) for personalized experiences and automation, and the potential of Augmented Reality (AR) and Virtual Reality (VR) in creating immersive user experiences. The study concludes by emphasizing the importance of embracing technological innovations while addressing the challenges of mobile app development, such as reducing costs, improving user engagement, and enhancing security. As mobile technologies continue to evolve, stakeholders must stay informed about the latest trends to harness the full potential of mobile applications in an increasingly digital world.

Keywords: Mobile Applications, Native Apps, Hybrid Apps, Progressive Web Apps, Mobile App Development, App Ecosystem, Mobile Technologies, Artificial Intelligence, Augmented Reality, Virtual Reality

Abstract: E-commerce has revolutionized the global marketplace, creating new opportunities and challenges for logistics providers. Safe Express Pvt. Ltd., a key player in the logistics industry, has faced significant challenges in managing e-commerce deliveries efficiently. This project, titled "Challenges and Solutions in E-Commerce: A Safe Express Perspective," aims to analyze the obstacles encountered by Safe Express in the e-commerce sector and explore potential solutions for overcoming them. The study identifies critical issues such as delivery delays, high operational costs, inefficient tracking systems, damaged goods, and customer dissatisfaction as major challenges faced by Safe Express in its e-commerce logistics operations. Through a combination of primary research (surveys and interviews with employees, customers, and industry experts) and secondary research (company reports, industry case studies, and market analysis), the study examines the root causes of these challenges. Furthermore, the research explores various solutions, including technology-driven logistics management, AI-based route optimization, automation in warehousing, enhanced customer service strategies, and cost-effective delivery models. By evaluating the effectiveness of these solutions, the study provides recommendations for Safe Express to improve its e-commerce logistics operations and regain competitiveness in the market. This project serves as a valuable resource for logistics companies looking to navigate the evolving e-commerce landscape, highlighting best practices and innovative strategies to enhance efficiency and customer satisfaction.

Abstract: The Green Wheels Initiative aims to revolutionize local distribution networks by integrating electric transportation solutions, enhancing sustainability, and optimizing efficiency. This project focuses on replacing conventional fuel-powered vehicles with electric alternatives to reduce carbon emissions, lower operational costs, and comply with evolving environmental regulations.Through strategic planning, infrastructure development, and collaboration with stakeholders, the initiative will establish a reliable electric vehicle (EV) fleet for last-mile deliveries. The project will also explore charging infrastructure, route optimization, and renewable energy integration to maximize sustainability. By implementing data-driven decision-making and leveraging smart logistics technology, the initiative will ensure seamless operations while promoting green urban mobility.The Green Wheels Initiative sets a precedent for eco-friendly distribution models, fostering a cleaner environment and contributing to the global transition toward sustainable transportation.

Abstract: Significant employee turnover in the business process outsourcing (BPO) sector makes it challenging to retain a consistent and capable workforce. This study looks at the staff retention strategies employed by XYZ Company, a mid-sized BPO company, in order to identify the crucial factors that influence organizational commitment and employee loyalty. Using a mixed-method research approach, the study examines several human resource (HR) practices, including hiring and selection, training and development, compensation plans, and working conditions. The findings demonstrate the importance of comprehensive HR policies, particularly those that prioritize effective performance management and career development, in reducing attrition rates. The results of the study show that strategic enhancements to HR practices, such as customized training programs and supportive work environments, can significantly increase employee retention. There are recommendations offered to help BPO firms enhance their retention strategies and promote long-term staff stability. The dynamic nature of the BPO industry, which is characterized by unpredictable work schedules, high performance standards, and limited opportunities for career advancement, has a significant impact on employee dissatisfaction and turnover. Because businesses compete in a globalized service economy, replacing experienced workers can be costly in terms of both time and money. Therefore, in addition to being a strategic goal, retaining experienced employees has become crucial for long-term organizational success. The research emphasizes the need to harmonize retention efforts with employee aspirations and organizational objectives. By fostering an environment of open communication, ongoing education, and appreciation, BPO companies such as XYZ Company can create a stronger, more involved workforce. The research findings can provide a useful model for similar companies in attempting to enhance employee retention

Abstract: Non-Banking Financial Companies (NBFCs) play a pivotal role in India's financial ecosystem by complementing traditional banks in delivering credit to underbanked and underserved segments. This project undertakes a comprehensive study on the financial performance and growth of select prominent NBFCs in India over the period 2020 to 2025. With the Indian economy undergoing rapid changes due to the pandemic, policy reforms, digitization, and evolving market dynamics, the role of NBFCs has gained renewed significance. This study focuses on analyzing the annual returns and associated risks (measured through standard deviation) of key NBFCs to assess their profitability, stability, and growth trends in a changing economic landscape. The companies analyzed include industry leaders such as Bajaj Finance, Muthoot Finance, Shriram Finance, and others that have demonstrated notable financial activity during the study period. These NBFCs cater to various sectors, including consumer finance, gold loans, vehicle loans, microfinance, and housing finance, reflecting the diversity of services in the NBFC domain. The selection of companies was based on their market presence, financial transparency, and relevance in the Indian financial market. The project applies quantitative tools to examine annual return data and calculate standard deviation, enabling a comparative view of performance and risk across different NBFCs. By analyzing yearly trends, the study highlights how each company responded to challenges such as the COVID-19 pandemic, liquidity crises, changing regulatory norms from the Reserve Bank of India (RBI), and digital transformation pressures. The findings show that while some NBFCs demonstrated robust financial resilience and continued growth, others experienced fluctuations and increased exposure to risk. For instance, Bajaj Finance exhibited strong returns with moderate risk levels, while companies like Muthoot Finance showcased stability due to their niche gold loan market positioning. Beyond numerical analysis, the project also explores qualitative aspects, such as the regulatory framework governing NBFCs, the impact of RBI guidelines on credit policies, and the strategic measures adopted by companies to remain competitive. It discusses how the sector is becoming increasingly regulated, ensuring greater transparency and better risk management but also demanding higher compliance and adaptability from the companies involved. This study aims to offer valuable insights into the structural and financial transformation of NBFCs and their contribution to economic growth, especially in rural and semi-urban areas. It also seeks to understand how these institutions can balance growth with sustainability, especially in the face of economic disruptions. By doing so, the project aspires to guide future financial decisions, policymaking, and academic inquiry into India's evolving financial services sector. In conclusion, the analysis underlines the critical role that NBFCs continue to play in democratizing access to credit in India. Despite facing regulatory tightening and market competition, their ability to innovate, localize financial solutions, and expand outreach makes them an indispensable component of India's financial future. This project not only evaluates past performance but also provides a lens through which to view future opportunities and challenges for the NBFC sector.

Keywords: Non-Banking Financial Companies (NBFCs), Financial Performance, Annual Returns, Risk Analysis, Growth Trends, Standard Deviation, RBI Regulations, Economic Impact, Credit Distribution, Indian Financial Sector.

Abstract: Identifying bird species from images presents a considerable challenge due to the subtle differences between species and the significant variability within species. Although bird species may share similar anatomical characteristics, they can vary greatly in terms of color, shape, and posture. Additional factors such as differing lighting conditions, intricate backgrounds, and various poses-like birds in flight, swimming, or partially hidden while perched-complicate the classification process. Even seasoned ornithologists may encounter ambiguity in species identification based solely on visual information. This study introduces a machine learning-based method designed to assist novice bird watchers in accurately identifying bird species from their photographs. By utilizing image classification models that have been trained on labelled bird datasets, the proposed system is capable of recognizing unique visual patterns and features, thereby offering a scalable and intelligent solution for ornithological identification. This method not only enhances public interest in biodiversity but also aids citizen science and conservation initiatives through the use of artificial intelligence.

Keywords: Birds Identification

Abstract: Customer retention has become a critical determinant of long-term business success, particularly in competitive service industries like printing. This study conducts a quantitative analysis of customer retention at Speed Print, aiming to uncover the primary factors that drive customers to remain loyal to the brand. The research investigates several key variables, including customer satisfaction, pricing strategies, quality of service, and the effectiveness of customer loyalty programs. Through the use of structured surveys and statistical analysis, the study evaluates the impact of Speed Print's current customer retention strategies-such as loyalty rewards, targeted discounts, and personalized marketing-on customer loyalty levels. In addition to identifying the most influential retention factors, the research explores the relationship between customer retention and core business performance metrics, including revenue growth, profitability, and market share. By establishing correlations between retention rates and financial outcomes, the study provides valuable insights into how retaining customers can contribute directly to the overall success and sustainability of the business. Moreover, the study includes a demographic analysis of Speed Print's customer base, examining attributes such as age, gender, income level, and occupation. Understanding the demographic composition helps in tailoring marketing efforts and retention strategies to better align with the preferences and behaviors of different customer segments. The findings of this study are intended to support data-driven decision-making at Speed Print and offer practical recommendations for enhancing customer loyalty, optimizing marketing efforts, and improving overall business performance. Ultimately, the study contributes to the growing body of knowledge on customer relationship management in the printing services sector.

Abstract: The rapid growth of global e-commerce has significantly increased the complexity of supply chains, particularly in relation to product returns. Reverse logistics, the process of managing returns from consumers back to sellers or manufacturers, has become a critical area for businesses to address. While traditional logistics focus on efficient product delivery, reverse logistics involves added layers of cost, inefficiency, and challenges that impact financial performance. This study aims to analyse the financial implications of reverse logistics in the e-commerce supply chain, highlighting key cost structures, return policies, technological solutions, and challenges in the context of e-commerce. A conceptual framework for reverse logistics challenges is proposed, aimed at enhancing business performance through effective return management strategies. The study also explores regional and cultural variations, the role of technology in cost optimization, and customer behavior's impact on reverse logistics costs. The findings suggest that while reverse logistics poses significant financial risks, strategic management can convert these challenges into competitive advantages by improving profitability, customer satisfaction, and sustainability.

Keywords: Reverse Logistics, E-commerce Supply Chain, Financial Implications, Return Management, Technology Optimization, Circular Economy, Customer Behavior, Supply Chain Complexity, Product Returns, Profitability, Sustainability.

Abstract: In the era of rapid industrialization and global commerce, warehousing plays a pivotal role in supply chain management. However, traditional warehouse operations often contribute significantly to environmental degradation through high energy consumption, excessive waste generation, and inefficient resource use. This project aims to conduct an in-depth study on warehouse management practices with a strong focus on sustainability procedures that are being adopted or can be adopted to mitigate these environmental impacts.

Abstract: Crowd management and surveillance have emerged as critical challenges in public safety, especially during large gatherings, protests, and events. Traditional manual surveillance methods are inefficient, error-prone, and slow to respond to dynamic crowd behaviours. In this research, we propose a real-time, automated crowd behaviour analysis and alert system leveraging deep learning models and the Flask web framework. Our system integrates a custom Convolutional Neural Network (CNN), a fine-tuned VGG16 model, YOLOv8n classification, and YOLOv8 object detection for behaviour recognition and headcount estimation. The Flask application serves as the front-end, facilitating video upload, webcam live streaming, and visualization of results. The system automatically triggers alarms and email notifications upon detection of violent activities. Experimental evaluation demonstrates a classification accuracy of 99.23% using VGG16 and near real-time inference at 30 FPS with YOLOv8n. This work establishes a foundation for deploying AI-driven surveillance systems capable of reducing manual effort, enhancing situational awareness, and ensuring public safety in crowded environments.

Keywords: Crowd Behaviour, Deep Learning, YOLOv8, Flask Web Framework, Real-Time Surveillance, Public Safety, Convolution neural Network (CNN), VGG16.

Abstract: GG Organics, a company known for its eco-friendly chemical solutions, expanded into the home care segment in 2014 with the introduction of the Mugi brand. The initiative aimed to provide sustainable and high-quality household cleaning products that are both effective and environmentally responsible. The Mugi product line includes Mugi Ultra (liquid detergent), Mugi Fresh (fabric conditioner), Mugi Mila (detergent variant), Mugi Cleanser (hand sanitizer), Mugi Wipeout (floor cleaner), Mugi Dishwash (gel & bar), Mugi Spotless (toilet cleaner), and Mugi Detergent Bar. These products are formulated with a focus on eco-friendliness, cost-effectiveness, and ease of use.By integrating sustainability with innovation, GG Organics' Mugi brand aims to enhance household cleaning solutions while minimizing environmental impact. The company's commitment to research and development ensures continuous improvements, making Mugi a trusted name in home care.In recent years, there has been a growing shift towards sustainable and eco-friendly consumer products, driven by increased environmental awareness and demand for healthier living spaces. In response to this trend, GG Organics-a company known for its commitment to eco-conscious chemical solutions-entered the home care segment in 2014 through the launch of its Mugi brand. The Mugi product line was introduced to cater to households seeking cleaning products that are not only effective and affordable but also safe for the environment.

Abstract: The efficiency of cargo handling plays a pivotal role in global trade, particularly in optimizing Less-than-Container Load (LCL) and Full Container Load (FCL) operations. This study explores the enhancement of LCL consolidation and FCL shipping by streamlining Customs House Agent (CHA) procedures. By identifying bottlenecks in documentation, inspection, and clearance processes managed by CHAs, the research proposes procedural reforms and digital integration to reduce delays and costs. Emphasis is placed on improved coordination between stakeholders, adoption of automated systems, and adherence to compliance protocols. The findings suggest that focused improvements in CHA operations can significantly boost the effectiveness of container utilization, reduce lead times, and enhance overall supply chain performance.

Abstract: In the rapidly evolving landscape of international trade, efficient Export-Import (EXIM) operations are crucial for maintaining global competitiveness. This study presents a comprehensive analysis of an end-to-end custom approach to EXIM documentation and clearance, emphasizing the critical role of digitalization, regulatory compliance, and process optimization. The traditional EXIM process in India and other developing countries is often encumbered by fragmented systems, redundant paperwork, and inconsistent procedural standards, resulting in delays and increased operational costs. This research explores the integration of digital tools such as electronic data interchange (EDI), blockchain, and AI-driven document verification systems to streamline documentation workflows from the initial trade agreement to final cargo clearance. It also evaluates the roles of key stakeholders including customs brokers, freight forwarders, port authorities, and government agencies in facilitating seamless coordination. Case studies from companies that have adopted comprehensive digital EXIM strategies illustrate measurable improvements in processing time, compliance accuracy, and overall supply chain efficiency. Furthermore, the study investigates the policy environment influencing EXIM practices, including the implementation of the Indian Customs Electronic Gateway (ICEGATE) and the Single Window Interface for Facilitating Trade (SWIFT). By identifying best practices and persistent bottlenecks, the study proposes a framework for a unified, automated EXIM documentation and clearance system that ensures transparency, reduces turnaround time, and enhances global trade facilitation. The findings highlight the need for continued investment in digital infrastructure and training, alongside regulatory reforms that encourage interoperability and data sharing. Ultimately, the research underscores that a well-implemented end-to-end custom approach is vital for nations seeking to improve their ease of doing business and participate effectively in global supply chains.

Keywords: EXIM Documentation, Customs Clearance, International Trade, Export-Import Process, Trade Compliance, Digital Customs, EDI, Supply Chain Optimization, ICEGATE, Trade Facilitation, Logistics Management.

Abstract: This study examines the Evaluation systems and procedures used in Oriental Cuisines Private Limited, a food and beverage company specializing in diverse Asian culinary offerings. Evaluation systems are essential for assessing operational efficiency, employee performance, andcustomer satisfaction, directly impacting business growth and service quality. The research explores the performance assessment methods, quality control measures, and operational review techniques implemented by the company. It highlights the role of key performance indicators (KPIs), employee feedback systems, customer review analysis, and supply chain monitoring in ensuring seamless operations. Additionally, the study investigates the effectiveness of these evaluation procedures in maintaining food safety, service standards, and overall customer experience.Findings suggest that a structured evaluation framework enables better decision-making,enhances workforce productivity, and ensures continuous process improvement. The paperconcludes with recommendations for optimizing the evaluation systems to align with evolvingmarket trends and customer preferences.

Abstract: The Importance of Customs Clearance in International Trade Customs clearance plays a vital role in international trade, ensuring the smooth movement of goods across borders while complying with regulatory requirements. It involves the preparation and submission of necessary documentation, payment of duties and taxes, and adherence to import/export restrictions. Effective customs clearance minimizes delays, reduces costs, and prevents legal complications. It also enhances supply chain efficiency by facilitating timely delivery and avoiding demurrage charges. Furthermore, customs procedures contribute to national security, revenue collection, and compliance with international trade agreements. This paper explores the significance of customs clearance, the challenges faced by businesses, and strategies to streamline the process for improved global trade operations.

Abstract: The Export Documentation Process. The export documentation process is a critical component of international trade, ensuring compliance with legal, financial, and logistical requirements. Proper documentation facilitates smooth cross-border transactions, minimizes delays, and reduces risks associated with customs clearance, transportation, and payment processing. Key export documents include the commercial invoice, bill of lading, certificate of origin, export license, and packing list, among others. This research examines the importance of export documentation, the challenges faced by exporters, and best practices to streamline the process. By understanding the complexities of export documentation, businesses can enhance efficiency, reduce costs, and maintain regulatory compliance, ultimately fostering seamless global trade operations.

Abstract: The need for automatic vehicle identification has grown rapidly with the increase in traffic density and security concerns. Traditional manual checking methods are time consuming and prone to human error. An effective Automatic Number Plate Recognition (ANPR) system is shown in this study, which uses Tesseract OCR for text recognition and OpenCV for picture pre-processing. The system captures vehicle images in real time, applies grayscale conversion, bilateral filtering, and Canny edge detection to isolate the number plate region, and then uses OCR to extract characters. The recognized number is displayed to the user or stored for monitoring and security purposes. According to experimental results, the suggested system performs well in real time and achieves high accuracy in a variety of illumination scenarios, making it appropriate for uses such as parking management, toll collecting, and security monitoring.

Keywords: Automatic Number Plate Recognition, OCR & OpenCV

Abstract: The financial condition of Electronic Manufacturing Services during the period of six years (2018-2023) has been analysed using ratio analysis, working capital patterns, and comparative statements. Improved liquidity and profitability have been indicated, along with significantly increasing working capital in some years, by virtue of enhanced cash management and less reliance on debt. However, areas for improvement have been identified by way of diminishing turnover ratios and increasing holding periods of inventory. It exhibited better interest coverage and solvency, but unstable debt-service coverage ratio betrays occasional payment risks. The recommendations are implementing just-in-time inventory systems, working capital optimization, and sustainable debt levels to support long-term financial health. Overall, it has displayed strength and development, although operational adjustments are required to support continued growth.

Keywords: Electronics Manufacturing Services (EMS), Working Capital, Ratio Analysis, Liquid Ratio, Solvency Ratio, Profitability Ratio, Efficiency Ratios, Trend Analysis.

Abstract: customer support & documentation This study explores the critical role of customer support and documentation processes within the logistics industry, specifically focusing on Riolog Shipping Service Pvt Ltd. The research investigates the importance of accurate and timely documentation in ensuring smooth customer service, shipment processing, and compliance with international trade regulations. It analyzes the challenges faced by the company, including document inaccuracies, delays, and customer communication gaps, and highlights the efficiency of automated systems in improving overall process effectiveness. Additionally, the study evaluates the impact of customer feedback, inter-departmental coordination, and regulatory adherence on the quality of service and customer satisfaction. The findings suggest that a systematic approach to documentation, supported by automation and continuous staff training, is essential for enhancing service quality, reducing operational delays, and fostering strong customer relationships. The research further recommends strategies to streamline processes, minimize errors, and improve compliance to ensure competitive advantage in the logistics sector.

Abstract: In recent years, the number of MBA graduates entering the job market has increased substantially. However, there remains a notable mismatch between the skills imparted by academic programs and the competencies demanded by industries. This article critically examines the key skill sets sought by employers and evaluates the preparedness of MBA students, with a particular focus on General MBA and MBA Business Analytics (MBA-BA) streams. Through a comparative study backed by primary and secondary research, it offers valuable insights and actionable strategies aimed at bridging the skill gap and enhancing industry readiness among graduates.

Keywords: Skill gap, Business Analytics, Industry Readiness

Abstract: This article investigates the role of four factors-sustainability familiarity, risk frequency, risk assessment practice, and policy review frequency-in influencing the effectiveness of organizational risk management. The study employs multiple linear regression to analyze primary data collected via structured questionnaires. Results indicate that only risk assessment practice significantly predicts risk management effectiveness. This finding highlights the indispensable role of structured risk evaluation methods in enhancing an organization's ability to manage uncertainty. The study's implications suggest a paradigm shift toward reinforcing analytical processes over peripheral awareness practices. Key contributions include actionable recommendations and theoretical affirmations in the context of organizational resilience and governance.

Abstract: This study examines the effectiveness of reward systems in enhancing employee motivation within organizational settings. A well-designed reward system is a critical component in aligning employee goals with organizational objectives, fostering higher productivity, satisfaction, and engagement. The research focuses on different types of rewards-including financial incentives, recognition programs, promotions, and non-monetary benefits-and evaluates their impact on employee motivation. Data was collected through surveys and interviews with employees from various sectors to gain insights into how rewards influence their performance and morale. The findings suggest that both intrinsic and extrinsic rewards significantly contribute to increased motivation, with personalized and performance-based rewards proving to be most effective. The study highlights the importance of a strategic reward framework in building a motivated workforce and achieving long-term organizational success.

Keywords: REWARD SYSTEM & EMPLOYEE JOB SATISFACTION, Effectiveness of the Reward System, RECOMMENDATIONS & SUGGESTIONS.

Abstract: Efficient storage and retrieval systems are the backbone of supply chain operations, particularly in industries dealing with perishable goods. This article examines the current storage and retrieval practices at Oriental Cuisines Private Limited (OCPL), identifying inefficiencies and suggesting strategies for improvement. Through primary data collection, data analysis, and industry comparisons, the study offers actionable recommendations for enhancing storage performance, reducing retrieval delays, and adopting technology-driven solutions.

Abstract: The study Aims, titled "A Study on Ocean Freight and Its Issues," provides a comprehensive analysis of the ocean freight industry, which serves as the backbone of global trade, handling approximately 90% of the world's trade volume and 11 billion tons of goods annually. Valued at $120 billion in 2023 with a projected growth rate of 4-5% through 2030, the industry faces significant challenges including environmental impact, regulatory complexities, geopolitical disruptions, operational inefficiencies, labor issues, and shifting trade dynamics. The research employs a descriptive, cross-sectional design, utilizing a purposive sample of 30 ocean freight professionals surveyed on May 01, 2025, to assess workforce demographics, operational challenges, and technology adoption. Key findings reveal a predominantly young workforce (40% below 25 years), a slight male dominance (56.7%), and a strong operational focus with Shipping Managers and Port Operators (36.7% each). Major issues include poor coordination (33.3% strongly disagree), environmental regulation costs (50% agree), and skepticism toward technologies like AI-driven analytics (60% strongly disagree) and IoT tracking (43.3% disagree), though blockchain (63.3% strongly agree) and automated port equipment (63.3% agree) show strong support

Abstract: This study explores the effectiveness of integrated logistics optimization within samporto Freight Forwarding Pvt Ltd., focusing on enhancing operational efficiency, cost reduction, and service quality. As global trade dynamics become increasingly complex, the need for streamlined logistics processes has never been more critical. The research investigates current logistics practices in Samporto, identifying bottlenecks and evaluating the integration of advanced technologies and coordinated supply chain strategies. Data collection through interviews, operational audits, and performance metrics analysis reveals opportunities for route optimization, warehouse management improvements, and digital tracking systems. The findings suggest that adopting integrated logistics frameworks-combining transportation, inventory, and information flow-can significantly enhance the company's responsiveness and customer satisfaction. The study concludes with strategic recommendations aimed at fostering sustainable growth through efficient and cohesive logistics operations.

Keywords: Integrated Logistics, Logistics Optimization, Freight Forwarding, Supply Chain Management, Transportation Efficiency, Warehouse Management, Inventory Control, Operational Efficiency, Logistics Technology, samporto Freight Forwarding Pvt ltd, Route Optimization, ERP in Logistics, Logistics Integration, Real-Time Tracking, Cost Reduction.

Abstract: Less than Container Load (LCL) consolidation plays a vital role in international logistics, especially for small and medium-sized enterprises seeking cost-effective shipping solutions. However, inefficiencies in the Customs House Agent (CHA) procedures often hinder the timely and seamless execution of LCL shipments. This study analyzes the existing CHA procedures involved in LCL consolidation, identifying key bottlenecks such as document processing delays, lack of digital integration, and inadequate coordination among stakeholders. A systematic evaluation of these challenges is conducted using data collected from freight forwarders, CHAs, and port authorities. Based on the findings, the study proposes strategic enhancements including the adoption

Abstract: In today's dynamic and increasingly digital financial environment, financial literacy has emerged as a crucial life skill, particularly for young adults navigating the transition into financial independence. This study investigates the relationship between financial literacy and personal financial planning among individuals aged 18-34, a demographic faced with key life decisions such as education, employment, debt management, and long-term savings. Despite growing awareness, many young adults still demonstrate limited financial knowledge and irregular financial planning practices, which can result in poor financial outcomes. The study explores how foundational knowledge in areas such as budgeting, saving, and investing influences goal-setting, spending behavior, and overall financial well-being. It also examines the role of demographic factors and psychological attitudes in shaping financial behavior. Data was collected using a standardized self-report questionnaire distributed via online platforms. Findings are expected to provide insights into the gaps in financial literacy and suggest strategies for educational interventions aimed at empowering young adults to make informed financial decisions. The study holds implications for policymakers, educators, and financial institutions seeking to promote responsible financial behavior and long-term financial stability.

Keywords: Financial Literacy , Personal Financial, Planning Personal, Financial Planning, Young Adults Budgeting.

Abstract: The study aims to comprehensively analyze the mileage efficiency of trailers produced by Hyundai and to identify the various factors influencing their performance. Mileage is a critical parameter in the transportation and logistics sector, directly impacting fuel consumption, operating costs, and environmental sustainability. This study systematically investigates different aspects affecting trailer mileage, including vehicle load, road conditions, aerodynamic design, tire maintenance, driver behavior, and trailer configurations. Primary data is collected through field surveys, company records, and real-time performance monitoring across a variety of trailer models and operating environments. Secondary data is obtained through literature reviews and benchmarking against industry standards. Advanced analytical tools such as regression analysis, correlation studies, and trend analysis are used to interpret the data and establish relationships between different operational variables and mileage outcomes. The findings reveal significant insights into how design optimizations, proper maintenance schedules, and efficient driving practices can collectively enhance trailer mileage. The study also identifies areas where technological improvements, such as the use of lightweight materials and advanced tire technologies, could further improve fuel efficiency. Recommendations are provided to Hyundai for strategic interventions in design, production, maintenance, and driver training programs. Overall, the study supports Hyundai's objective of developing high-performance, cost-effective, and environmentally sustainable trailers, contributing to greater operational efficiency for both the company and its customers.

Abstract: This paper presents a case study on procurement optimization and cost-saving strategies implemented at NeoMotion Pvt. Ltd., a pioneering startup in the assistive mobility sector. The study focuses on the company's sourcing processes for components like cushion covers, zippers, fabrics, reflective materials, and aluminum tube end caps used in customized wheelchair models such as NeoFly and NeoBolt. Using tools like Pareto analysis, cost-benefit comparisons, vendor evaluation matrices, and root cause analysis, the project identifies cost drivers, supplier inefficiencies, and material wastage. The interventions implemented-vendor negotiation, design optimization, and parallel sourcing-led to a 15% BOM cost reduction, 12% material saving, and improved lead times. This study highlights the significance of structured procurement systems in enhancing quality and operational efficiency in emerging manufacturing setups.

Abstract: This study investigates the challenges and opportunities in international freight forwarding, focusing on operational, regulatory, technological, and environmental dynamics. Using a descriptive research design, data was collected from 120 freight forwarding professionals through a structured questionnaire, analyzing variables such as age, gender, experience, and organizational roles. Findings reveal a workforce with many new entrants, a moderate gender imbalance, and a dominance of large-scale organizations. Key challenges include regulatory disruptions, documentation discrepancies, and skilled manpower shortages, while opportunities lie in e- commerce growth, emerging markets, and digitalization. The study identifies strong support for automation and digital tools but resistance to technologies like blockchain and skepticism toward green logistics demand. Environmental regulations significantly influence operations, urging sustainable practices. Recommendations include enhancing workforce development, streamlining compliance, adopting technology, and prioritizing sustainability to improve competitiveness in global trade.

Abstract: The recruitment and selection process is vital for shaping the quality of the workforce, boosting organizational efficiency, and ensuring long-term success. This study takes a closer look at Rane Madras Ltd., located in Puducherry, which is a well-established automotive component manufacturer under the Rane Group. The goal here is to evaluate how effective their recruitment and selection strategies really are. We want to dive into current HR practices, gauge employee perceptions, and suggest data-driven improvements that keep pace with the ever- evolving industry standards. To gather insights, we used a descriptive research design and distributed a structured questionnaire to 100 employees. We analysed their responses using percentage methods, Chi-Square tests, and One-Way ANOVA. The study uncovers some key challenges, like limited communication during the hiring process and a lack of digital integration. It also stresses the importance of employer branding, transparent hiring practices, and inclusivity. Additionally, it highlights the organization's dedication to quality, innovation, and sustainability factors that are crucial for attracting top talent. While Rane Madras Ltd. has a solid technical infrastructure and embraces Total Quality Management (TQM), the findings suggest there is stillroom for improvement in the recruitment process. By incorporating digital tools, enhancing candidate engagement, and focusing on diversity, they can make significant strides in employee retention, performance, and overall organizational growth. This study fills a gap in existing research by examining the long-term effects of recruitment practices on retention, development, and employee satisfaction specifically within the automotive manufacturing sector. Recommendations include establishing continuous feedback loops, encouraging internal mobility, and utilizing data analytics to make strategic hiring decisions.

Keywords: Recruitment, Selection Process, Employee Retention, Human Resource Management, Organizational Growth, TQM, Workforce Engagement.

Abstract: In today's fast-paced and highly competitive global trade environment, the shipping and logistics industry faces increasing pressure to enhance efficiency, reduce costs, and improve decision-making. Data analytics has emerged as a transformative force, offering powerful tools to extract actionable insights from vast amounts of structured and unstructured data. This study explores the application of data analytics in the shipping and logistics sector, focusing on its role in improving operational accuracy, demand forecasting, route optimization, inventory management, and customer satisfaction. Through a critical review of existing literature, industry practices, and case studies, the research highlights how data-driven strategies can lead to more agile and resilient supply chains. The project also discusses the challenges involved in adopting analytics, including data integration, system interoperability, and organizational readiness. Ultimately, the findings underscore the potential of data analytics to serve as a strategic asset that drives innovation and performance in the shipping and logistics domain.

Abstract: Effective communication is the backbone of successful logistics operations. At Safexpress Pvt. Ltd., optimizing communication channels is critical to ensure seamless coordination, timely decision-making, and enhanced service delivery. The introduction of Mass Mail Connectivity aims to revolutionize the speed and effectiveness of information exchange across all levels of logistics operations. This strategic communication solution enables real-time, simultaneous information dissemination to multiple stakeholders, reducing delays and minimizing the risk of miscommunication. By leveraging mass mailing, Safexpress can streamline updates on shipment status, route adjustments, compliance notifications, and emergency alerts, ensuring that critical information is instantly accessible to employees, partners, and customers. This improvement not only enhances operational efficiency but also supports proactive problem-solving and superior customer service. The initiative represents a step forward in modernizing Safexpress's communication infrastructure, contributing to its mission of delivering excellence in logistics.

Abstract: The dynamic landscape of the automotive industry necessitates strategic optimization of logistics operations to sustain competitive advantage. This study examines the sales logistics framework of Hyundai Motors, identifying inefficiencies and recommending operational improvements. Through a mixed-methods approach involving literature review, data analysis, and stakeholder input, the study reveals critical gaps in vehicle dispatch, inventory management, and dealer coordination. Findings suggest that leveraging digital technologies, improving supply chain integration, and implementing real-time tracking can substantially enhance delivery performance, reduce costs, and boost customer satisfaction.

Keywords: Sales logistics, Hyundai Motors, automotive industry, supply chain optimization, inventory management, vehicle dispatch, digital transformation, real-time tracking, customer satisfaction, logistics efficiency

Abstract: This paper explores the integrated dynamics of sales and supply chain management with a focused case study on Aachi Masala Pvt. Ltd., one of the leading Indian spice brands. The objective is to analyze how a structured and efficient supply chain contributes to the firm's market penetration, competitive pricing, and consumer reach. Through a qualitative case study approach, the research highlights key strategies, operational models, and challenges in the supply chain and how they influence sales outcomes. The findings offer insights into best practices for FMCG companies operating in emerging markets.

Keywords: Aachi Masala, Sales Management, Supply Chain, Case Study, FMCG, Inventory, Distribution Strategy

Abstract: In today's dynamic and demanding work environment, employee wellbeing has emerged as a critical factor influencing productivity, engagement, and organizational success. This paper explores the pivotal role of Human Resources (HR) in fostering employee wellbeing through the design and implementation of effective stress management programs. HR professionals serve as key enablers in identifying stressors, creating supportive workplace policies, and promoting a healthy work-life balance. The study delves into various strategies HR can adopt, including wellness initiatives, mental health support systems, flexible work arrangements, and training programs aimed at building resilience. It also examines the impact of such interventions on employee morale, retention, and organizational performance. By integrating employee wellbeing into the core HR strategy, organizations can create a positive work culture that not only mitigates stress but also enhances overall employee satisfaction and productivity.

Keywords: FINANCIAL IMPACT, EMPLOYEE TRAINING AND DEVELPMENT, SKILLS GAP ANALYSIS TRAINING PROGRAM, EMPOYEE EXPERIENCE

Abstract: The liner shipping industry plays a crucial role in the global logistics and transportation network. Liner agencies function as vital intermediaries that ensure seamless coordination between shipping lines and various stakeholders in the port and logistics ecosystem. This study focuses on the detailed operations of Seahorse Ship Agencies Pvt. Ltd., a Chennai-based firm renowned for its expertise in handling vessel and cargo documentation for both imports and exports. The research seeks to investigate operational procedures, analyze documentation workflows, and evaluate the digital tools employed by the agency. Using a structured methodology combining fieldwork, interviews, and secondary research, the paper applies business analysis tools such as Pareto analysis, Fishbone diagram, and SWOT to derive insights. It concludes by offering data-driven recommendations to overcome inefficiencies and improve productivity. This expanded version also considers future trends in maritime logistics, the potential impact of digitization and artificial intelligence (AI), and regulatory changes within the global shipping sector.

Abstract: The global shipping and freight management industry has evolved rapidly in response to the increasing demands of globalization, technological innovation, and the need for cost efficiency. As businesses strive to streamline operations and enhance profitability, Enterprise Resource Planning (ERP) software has emerged as a strategic tool for integrating and optimizing core business processes. This study aims to evaluate the impact of ERP software on reducing operational costs within the shipping and freight sector. The research explores how ERP systems contribute to enhanced resource planning, improved inventory and transport management, reduced paperwork, and better financial oversight. By unifying key functions such as logistics, procurement, warehouse management, finance, and customer relationship management (CRM) into a centralized digital platform, ERP enables organizations to minimize redundancy, reduce errors, and improve operational transparency. The study also investigates the challenges faced during ERP implementation, including high initial costs, employee resistance, and technical integration issues.

Abstract: This study focuses on evaluating and enhancing the operational efficiency of logistics service providers, with an emphasis on identifying key challenges and proposing actionable improvements. In today's competitive and customer-driven supply chain environment, logistics efficiency directly influences service quality, cost management, and delivery performance. Through a detailed analysis of current operational workflows, warehouse management, transportation practices, and technological adoption, this research highlights the gaps affecting overall efficiency. Using a mixed-method approach-combining field observations, interviews, and secondary data-the study uncovers issues such as process delays, poor inventory visibility, and limited automation. It then proposes targeted strategies including process standardization, digital tracking systems, and layout optimization to enhance throughput and accuracy. The recommendations serve as a roadmap for logistics providers aiming to improve productivity, reduce costs, and achieve greater customer satisfaction in a rapidly evolving logistics landscape.

Abstract: The commercial vehicle industry is undergoing rapid transformation, driven by advancements in automation, electrification, and connectivity. Central to this evolution is the development and implementation of sophisticated control systems that enhance vehicle performance, safety, and efficiency. This study presents a comprehensive competitor analysis of leading manufacturers in the commercial vehicle control systems sector. The research focuses on identifying key players, examining their technological capabilities, strategic positioning, market share, and innovation approaches. Utilizing a combination of qualitative and quantitative methodologies, the study analyses product portfolios, R&D investments, partnerships, and global expansion strategies. The findings highlight current trends, competitive advantages, and emerging challenges within the industry, offering valuable insights for stakeholders aiming to navigate the dynamic landscape of commercial vehicle control technologies

Keywords: Commercial Vehicle Control Systems, Competitor Analysis, Automotive Technology, Vehicle Automation, Market Trends, Strategic Positioning, Innovation Strategies, R&D Investment, Product Portfolio, Automotive Industry Analysis.

Abstract: The effect of Client Relationship Management (CRM) on client retention and business expansion in modern firms is examined in this study. CRM becomes an essential instrument for building enduring client relationships, raising customer happiness, and boosting profitability as companies depend more and more on customer-centric tactics to maintain competitive advantage. The study used a mixed-methods approach, integrating qualitative insights from interviews across multiple industries with quantitative data from surveys. The results show that good CRM practices are strongly positively correlated with greater rates of customer retention, which in turn greatly aid in business growth through positive word-of-mouth and higher customer lifetime value. According to the study's findings, implementing CRM systems strategically not only increases customer loyalty but also is essential to attaining long-term company growth.

Keywords: Client Relationship Management (CRM)Customer Retention Business Growth Customer Loyalty Customer Satisfaction.

Abstract: The cement industry is a critical component of any nation's infrastructure development, and in a rapidly urbanizing country like India, its role becomes even more pronounced. As urban centers expand, the demand for construction materials-especially cement-has surged, making it an intensely competitive and strategically significant sector. This study delves into the organizational framework and market dynamics of leading cement brands operating in the Porur area of Chennai, Tamil Nadu. Porur, once a suburban locality, has now transformed into a prime real estate and construction hotspot, witnessing a boom in residential apartments, commercial spaces, institutional buildings, and public infrastructure. Such development has triggered heightened demand for cement, offering a valuable opportunity for cement brands to tap into a growing market. The core aim of this research is to analyse the organizational practices of cement companies-covering areas such as supply chain management, dealer and distributor networks, pricing strategies, brand promotion, and customer service-and to evaluate how effectively these brands are positioned to meet the demands of the Porur market. Through both primary and secondary data collection methods, including surveys, interviews, and market observation, the study assesses brand awareness, customer preferences, dealer satisfaction, and the role of marketing communication in influencing purchase decisions. A key focus is placed on understanding how cement companies maintain their competitiveness in terms of product quality, availability, pricing, promotional offers, and after-sales service. Furthermore, the study explores the role of intermediaries such as dealers and sub-dealers in bridging the gap between manufacturers and end-users. These stakeholders play a crucial role in promoting certain brands, ensuring supply consistency, and providing credit facilities to contractors and builders. The analysis also considers factors such as consumer loyalty, price sensitivity, the impact of bulk orders, and seasonal demand fluctuations in the Porur region. Additionally, this research sheds light on challenges faced by cement companies, such as logistic constraints, rising input costs, local competition, and the need to adapt to sustainability and eco-friendly practices. The findings of the study suggest that while several leading brands have established a strong market presence in Porur, there is still room for newer entrants and mid-level players to expand by focusing on localized marketing, strengthening dealer relationships, and offering value-added services. Cement consumption patterns in Porur reveal a preference for brands that are perceived to have superior quality, timely availability, and strong post-sales support. The research concludes that market potential in the area remains high due to ongoing urban development, and cement brands that align their organizational strategies with ground-level market realities are more likely to succeed in sustaining and growing their market share.

Keywords: Cement Industry, Organizational Study, Market Potential, Consumer Preference, Brand Positioning, Distribution Network, Dealer Analysis, Promotional Strategies, Construction Materials, Urban Development, Porur Market

Abstract: The strategic allocation of resources and effective performance management are essential pillars of sustainable organizational growth and competitiveness. This project delves into a comprehensive analysis of resource management strategies, emphasizing the integration of artificial intelligence (AI), real-time data analytics, and employee training to enhance operational efficiency. It investigates the barriers posed by organizational resistance and a lack of transparency, which often hinder progress in resource optimization. Survey responses from 130 participants reveal strong support for AI-driven solutions, suggesting a growing recognition of technology's role in improving resource planning and performance reporting. The study also underscores the significance of data-driven insights in guiding strategic decision-making and optimizing output. Furthermore, the importance of investing in employee training is explored as a key enabler of improved resource utilization and organizational adaptability. In addition to internal processes, the project evaluates how transparent practices and stakeholder engagement contribute to a culture of accountability and continuous improvement. The findings advocate for a balanced approach that combines technological innovation with human-centric strategies to foster a responsive, efficient, and sustainable management ecosystem. These recommendations will drive better resource management, improve efficiency, and align resources with organizational goals.

Keywords: Resource Allocation, Performance Management, Strategic Planning, AI Integration, Real-Time Analytics, Organizational Resistance, Transparency, Employee Training, Stakeholder Engagement, Data-Driven Decision Making, Efficiency, Sustainability, Innovation in Operations

Abstract: By directing capital, promoting savings, and providing credit to a range of industries, India's banking industry is essential to the nation's economic expansion. Examining the link between risk and return is crucial to comprehending the performance and resilience of the financial sector given its constantly shifting context. The purpose of this study is to evaluate the risk-return profile of a few chosen Indian banks in order to provide information about their growth prospects and overall soundness. The primary goal of the study is to investigate how risk and return are related in banks in the public and private sectors. It examines key financial indicators such the Capital Adequacy Ratio (CAR), Net Interest Margin (NIM), Return on Equity (ROE), Return on Assets (ROA), and Non-Performing Assets (NPAs). Additionally, it takes into account a variety of hazards, such as interest rate, market, operational, and credit risk. The study also looks at the effects of macroeconomic variables on the overall performance of the banks, such as GDP growth, inflation, and the repo rate. Using secondary data gathered over a five-year period from RBI publications, bank annual reports, and financial databases, a quantitative approach is used. To comprehend the risk-return relationship, statistical methods like regression, correlation, beta analysis, and standard deviation are employed. Furthermore, instruments such as the Treynor Ratio and Sharpe Ratio are employed to assess performance from the perspective of an investor. The findings show clear distinctions between banks in the public and private sectors. While public sector banks exhibit more stability but lesser profitability, private banks often exhibit higher returns accompanied by higher risks. The results emphasize how crucial it is to manage risks well and follow legal requirements in order to maintain steady performance and sound financial standing. In conclusion, this study emphasizes how crucial strategic planning and continuous risk analysis are to the banking sector. The information can help banks improve their risk management plans, help regulators fortify the financial system, and help investors make better judgments.

Keywords: Indian banking sector, Economic growth, Risk-return analysis

Abstract: A Human Resource Information System (HRIS) is an integrated software platform that supports the effective management of human resource functions within an organization. It combines human resource management (HRM) and information technology to automate and streamline HR processes such as recruitment, employee data management, payroll, attendance tracking, performance evaluation, benefits administration, and training and development. By centralizing all employee-related information in a digital database, HRIS ensures greater accuracy, reduces paperwork, and enhances the speed of HR operations. The implementation of an HRIS offers numerous benefits, including improved efficiency, time savings, better regulatory compliance, and enhanced data security. It also supports informed decision-making by providing real-time analytics and reporting tools that help managers assess workforce performance and plan future strategies. In addition, HRIS empowers employees through self-service portals, enabling them to access their records, apply for leave, and update personal details without constant HR intervention. In conclusion, a Human Resource Information System plays a critical role in enhancing the productivity and effectiveness of human resource management while aligning HR goals with the overall objectives of the organization.

Keywords: Human Resource Information System (HRIS), Human Resource Management (HRM), Employee Data Management, Payroll System, Attendance Tracking, Performance Evaluation, Recruitment Automation, Digital HR Solutions.

Abstract: This study investigates the strategic function of onboarding in human resource management, specifically employer retention at Careernet Technologies. In the wake of an increasingly dynamic job market and digitalization, and talent war, onboarding has become central to recruitment success and employee engagement. A descriptive research design was employed, collecting data from 158 Careernet employees using convenience sampling. The study sought to evaluate the effect of formal onboarding on integration, satisfaction, role clarity, productivity, and retention. Results indicate that effective onboarding-characterized by role- specific training, cultural assimilation, continuous communication, and manager alignment- strongly influences new employees attitudes, creates a sense of belonging and enhances commitment to the organization. Technological solutions such as digital onboarding platforms, Al evaluations, and virtual strategies are critical to optimizing onboarding efficiency and customization, especially in a post-pandemic setup with remote work arrangements. The research not only quantifies current onboarding success but also focuses on customized experiences that align individual goals and learning styles. It emphasizes the adoption of personalized mentorship, recognition of achievement at the earliest opportunity, and constant feedback to fuel worker morale and motivation. Moreover, it acknowledges a major shortcoming in adaptive onboarding frameworks for the modern diverse workforce, particularly in flexible or remote environments. While existing research has noted the significance of digital onboarding, the study here calls for a more inclusive approach centered around long-term involvement and performance.

Keywords: Onboarding, Employee Retention, Recruitment Strategy, HR Technology, Talent Integration, Employee Engagement, Digital Onboarding, Mentorship, Organizational Culture, Structured Onboarding, Hybrid Work, Human Resource Management.

Abstract: In global trade operations, the accuracy and timeliness of documentation play a critical role in ensuring smooth cargo movement, regulatory compliance, and stakeholder coordination. This study presents a comprehensive analysis of the challenges faced in documentation amendments, with a particular focus on customs documentation, Bill of Lading (BL) amendments, and logistics-related documents. While these documents are essential for the legal, commercial, and operational aspects aof international shipping, even minor inaccuracies can trigger costly and time-consuming amendments, leading to significant disruption in supply chain activities. The research identifies frequent causes for documentation amendments, including typographical errors, last-minute changes from buyers or suppliers, misclassification of goods, incomplete regulatory declarations, and miscommunication between involved parties such as exporters, customs house agents (CHAs), and freight forwarders. Each category-customs, BL, and logistics-has its own specific challenges. Customs amendments are often linked to incorrect HS codes, invoice mismatches, or regulatory non-compliance, resulting in fines, shipment delays, and denied incentives. BL amendments commonly arise due to wrong consignee/notify party details or changes in shipping instructions, often leading to additional shipping line charges and payment delays. Logistics document errors-such as packing lists or cargo manifests-impact cargo handling, warehouse coordination, and delivery timelines. The study also examines the financial, operational, and reputational impact of these amendments on both consignors and consignees. It highlights the need for robust internal documentation review systems, digitalization, cross-department coordination, and proactive communication with trade partners. Through industry surveys and case studies, this research provides actionable recommendations to minimize documentation errors, reduce amendment costs, and streamline international trade workflows.

Keywords: Documentation amendments, customs compliance, Bill of lading, logistics documentation and international trade challenges.

Abstract: This project aims to examine and understand the export documentation process at Wingman Freight Express Pvt. Ltd., a logistics and freight forwarding company based in Velachery, Chennai. Export documentation plays a crucial role in ensuring smooth international trade, compliance with regulatory requirements, and timely delivery of goods. The study focuses on identifying the key documents involved, the workflow followed, and the roles of various stakeholders in the export process. Through direct observation, employee interviews, and analysis of company records, the research highlights the strengths and challenges in the current documentation procedures. The findings suggest opportunities for improving efficiency, reducing errors, and enhancing digital integration. This study provides valuable insights for optimizing export operations and contributes to the broader understanding of logistics management in the international trade environment..

Abstract: In today's dynamic and competitive business environment, maximizing employee productivity is a critical objective for organizations aiming to maintain a competitive edge. This paper explores the strategic optimization of work allocation as a means to enhance overall employee performance and organizational efficiency. By analyzing various task distribution models, workload balancing techniques, and employee skill mapping strategies, the study identifies key factors that influence effective work allocation. Leveraging data-driven decision-making and modern optimization tools, the research proposes a framework that aligns employee capabilities with task requirements, minimizes resource underutilization, and mitigates burnout risks. The findings highlight the importance of adaptive allocation systems that respond to real-time performance metrics and employee feedback. Ultimately, this study underscores the potential of strategic work allocation to foster a more motivated, efficient, and resilient workforce.

Keywords: Skill - Knowledge - Ability - Behaviour.

Abstract: This project focuses on optimizing Full Container Load (FCL) container utilization to enhance cost efficiency at Wingman Freight Express Pvt. Ltd., a logistics company specializing in international freight forwarding. Inefficient container usage can lead to increased shipping costs and reduced profitability. The study investigates current container loading practices, identifies gaps in space utilization, and evaluates key operational parameters such as cargo volume, weight distribution, packaging standards, and shipment scheduling. By leveraging data analysis and simulation tools, the project proposes optimized loading strategies, improved planning processes, and the adoption of digital tools to maximize container space. The outcomes are aimed at reducing the number of containers shipped, minimizing freight costs, and increasing overall operational efficiency. The findings and recommendations serve as a strategic guide for enhancing the logistics and supply chain performance of the company.

Abstract: Data analytics has become a game-changer across industries-and the consulting sector is no exception. This study explores how analytics is reshaping the way consulting firms operate and deliver value to their clients. As businesses increasingly rely on data to guide their decisions, consultants are turning to advanced tools like predictive modeling, machine learning, and data visualization to offer smarter, faster, and more personalized solutions.The research dives into how these technologies are being used to support strategic planning, improve efficiency, and uncover deeper insights for clients. By drawing on real-world examples, industry reports, and existing research, the study highlights how analytics is helping consulting firms move beyond traditional, experience-based advice to more evidence-backed recommendations. It also looks at the practical benefits-such as better forecasting, trend analysis, and performance tracking-as well as the challenges, including data privacy concerns, skill shortages, and the need to integrate analytics into long-standing business models.One key takeaway is that firms embracing analytics are not only becoming more agile and competitive but are also building stronger relationships with clients by offering more relevant and impactful advice. However, making this shift requires more than just new tools-it also calls for cultural changes, ongoing training, and a clear strategy for how data will be used. In conclusion, analytics is no longer just a support function in consulting; it's becoming central to how firms create and deliver value. Those that adapt effectively are likely to lead the industry into a more data-driven, results-focused future. The study wraps up with insights on how consulting firms can successfully integrate analytics and where future research could further support this transformation.

Keywords: Data Analytics, Data-Driven Strategy, Strategic Decision-Making, Business Intelligence

Abstract: This study investigates how workforce issues impact the performance of accounts receivable (AR) in the healthcare sector's Revenue Cycle Management (RCM) process. Any disruption brought on by personnel problems such as excessive employee turnover, insufficient training, burnout, or a lack of subject expertise can result in delays in claim processing and a rise in denials because AR is essential to preserving cash flow and financial stability. Through data gathered from RCM experts, the study seeks to uncover important workforce-related factors that impede AR efficiency and examine their effects. The results indicate that targeted actions aimed at resolving these workforce concerns can greatly improve AR outcomes and overall revenue cycle performance. The study ends with helpful suggestions for healthcare institutions looking to increase operational effectiveness and employee engagement.

Keywords: healthcare finance, accounts receivable (AR), workforce issues, employee turnover, staff training, burnout, subject matter expertise, operational efficiency, employee engagement, healthcare administration, financial stability, performance improvement, and delays in processing claims.

Abstract: This study investigates the key factors contributing to high cargo dwell time at Chennai Port, which averages 3-5 days-significantly higher than global benchmarks. The research identifies inefficiencies such as limited automation, manual documentation, inadequate stakeholder coordination, and delays in customs clearance. Using descriptive statistics, regression, and chi-square tests based on stakeholder surveys, the study finds that while the port benefits from a skilled workforce and sufficient berth space, only electronic document processing systems have a statistically significant impact on reducing dwell time. Benchmarking global ports like Singapore and Rotterdam highlights best practices in automation, real-time tracking, and inter-agency collaboration. The study recommends infrastructure modernization, digital integration, process audits, and stakeholder coordination improvements. These strategic interventions are essential for enhancing cargo throughput, reducing delays, and positioning Chennai Port as a competitive and sustainable maritime hub.

Keywords: Dwell time, automation, stakeholder coordination, digital integration, customs clearance

Abstract: The quick evolution of digital media has revolutionized the way businesses engage with consumers, and interior design is no different. This research investigates the effect of social media marketing on the development and exposure of interior design companies, considering how social media affects consumer attitudes, brand awareness, trust, and engagement. The study centers on user feedback concerning frequency and type of interior design content experienced on websites such as Instagram and Facebook, and how these experiences inform decisions to engage with or hire interior design firms. A standard questionnaire was provided to a sample group, and the data thus gathered was processed using several statistical measures: regression analysis to examine the impact of age on recommendation behavior, a t-test to examine differences between perceived entertainment and usefulness of content, ANOVA to measure differences across gender and profession, and correlation analysis to measure the relationship between ad interaction and interest to hire. Most interesting findings include that the age factor has little influence on the behavior of recommendations, and liking ads is not necessarily reflected in finding that content as useful. There is, however, a high correlation between ad clicks on social media and interest in employing hybrid interior designers, which indicates successful targeted advertising. There may also be interesting market segmentation opportunities due to considerable differences in gender and professional portfolios. Overall, the findings emphasize the necessity of a strategic, visually appealing, and active social media presence for interior design companies. Effective social media marketing not only helps increase brand recognition and trust, but also has a direct effect on customer conversion and business development.

Keywords: Social Media Marketing, Interior Design Industry, Business Growth, Consumer Engagement, Brand Recognition, Digital Advertising, Customer Behavior, Visual Content, Online Branding, User Interaction, Marketing Strategy, Audience Perception, Social Media Influence, Interior Design Promotion, Customer Trust

Abstract: The modern supply chain landscape, particularly in the organic food sector, demands high levels of operational efficiency to meet evolving customer expectations. This study titled A STUDY ON DESIGNING AND PLANNING TRANSPORATION NETWORK IN CUSTOMER SERVICE AND LAST-MILE DELIVERY AT GG ORGANIC PVT LTD" explores the key transportation risks that impact supply chain performance and investigates practical strategies to mitigate them. GG ORGANIC Pvt Ltd, a growing player in the organic products sector, faces challenges such as delivery delays, fuel cost fluctuations, vehicle maintenance issues, and route planning inefficiencies. These risks not only affect cost and service levels but also customer satisfaction and business continuity. The study employs both qualitative and quantitative methods, including employee surveys and regression analysis, to identify the root causes of transportation inefficiencies. Based on the findings, the research suggests targeted improvements such as better route optimization tools, real-time vehicle tracking, preventive maintenance scheduling, and enhanced driver performance monitoring. By implementing these measures, GG ORGANIC Pvt Ltd can strengthen its transportation function, reduce risks, and achieve a higher level of operational efficiency. This article contributes valuable insights to the field of supply chain management, emphasizing the importance of proactive risk control in transportation to support organizational growth and customer satisfaction.

Keywords: Operational Efficiency, Transportation Risk, Supply Chain Management, Last-Mile Delivery, Route Optimization, Risk Mitigation, Logistics Performance, Organic Supply Chain.

Abstract: The modern supply chain landscape, particularly in the organic food sector, demands high levels of operational efficiency to meet evolving customer expectations. This study titled Improving Operational efficiency in transportation risk functional management explores the key transportation risks that impact supply chain performance and investigates practical strategies to mitigate them. GG ORGANIC Pvt Ltd, a growing player in the organic products sector, faces challenges such as delivery delays, fuel cost fluctuations, vehicle maintenance issues, and route planning inefficiencies. These risks not only affect cost and service levels but also customer satisfaction and business continuity. The study employs both qualitative and quantitative methods, including employee surveys and regression analysis, to identify the root causes of transportation inefficiencies. Based on the findings, the research suggests targeted improvements such as better route optimization tools, real-time vehicle tracking, preventive maintenance scheduling, and enhanced driver performance monitoring. By implementing these measures, GG ORGANIC Pvt Ltd can strengthen its transportation function, reduce risks, and achieve a higher level of operational efficiency. This article contributes valuable insights to the field of supply chain management, emphasizing the importance of proactive risk control in transportation to support organizational growth and customer satisfaction.

Keywords: Operational Efficiency, Transportation Risk, Supply Chain Management, Last-Mile Delivery, Route Optimization, Risk Mitigation, Logistics Performance, Organic Supply Chain.

Abstract: In the highly competitive financial services sector, customer retention plays a pivotal role in sustaining long-term business growth and profitability. This study offers an empirical analysis of customer retention strategies adopted by Muthoot Finance, one of India's leading non-banking financial companies (NBFCs). The research aims to identify the key factors influencing customer loyalty and retention, including service quality, trust, customer satisfaction, and relationship management. A structured questionnaire was administered to a sample of Muthoot Finance customers across different branches, and the data collected were analyzed using statistical tools such as regression analysis and correlation analysis. The findings highlight the significance of personalized services, transparent communication, and prompt grievance redressal mechanisms in enhancing customer retention. The study concludes with practical recommendations for improving customer engagement and building long-term relationships, which can be applied not only within Muthoot Finance but also across the broader NBFC sector. This research contributes to the growing body of knowledge on customer relationship management in financial institutions.

Abstract: In today's dynamic and technologically driven business environment, Human Resource Management (HRM) is undergoing a fundamental transformation fueled by digital innovation. This study explores how digitalization is reshaping HR functions by integrating advanced tools such as Human Resource Information Systems (HRIS), AI-driven recruitment platforms, digital onboarding processes, cloud-based performance management systems, and data analytics. The research investigates the impact of these technologies on HR efficiency, decision-making, employee engagement, and organizational productivity. The results emphasize the need for a well-planned digital strategy, ongoing training, and leadership support to maximize the potential of digital HR systems. This study contributes to the growing discourse on modernizing HR by providing practical insights into how organizations can leverage digital technologies to create agile, data-driven, and employee-centric HR functions.

Keywords: Human Resource Information Systems (HRIS), AI in recruitment, Digital Onboarding, Digital Transformation.

Abstract: Consumer behavior and market trends in the interior decor business are analyzed in this study with a focus on Shristi Interior Product Dealers. Quantitative research was conducted by gathering data from 100 respondents to assess different factors affecting purchasing decisions. These include product quality, price, brand reputation, and how digital transformation impacts consumer preferences. Results indicate a moderate customer satisfaction rate, suggesting that although Shristi is known for product quality, there are areas like product familiarity, customer loyalty, and digital engagement where gaps remain. These gaps have the potential to adversely affect retention rates as well as future growth. The research highlights the need to create more effective marketing strategies and enhance service quality to meet the expectations of contemporary consumers. Also, leveraging sophisticated technology solutions, including ERP software and CRM solutions, is essential for optimising operations, driving customer interactions, and ensuring sustained business success. Bridging these gaps, Shristi can better strengthen its market position, develop a broader customer base, and evolve with changing consumer needs in the competitive world of interior decor.

Keywords: consumer behavior, market trends, interior decor, digital transformation, customer satisfaction

Abstract: This research examines customer satisfaction levels of customers buying interior décor items from Shristi Interior Product Dealers. With style and functionality continuously changing in the Indian interior design sector, customer satisfaction has become a key driver to attaining business sustainability and competitive advantage. The research makes use of a descriptive research method using 147 valid responses of customers who bought products such as blinds, UPVC doors, railings, wallpapers, and flooring. The statistical measures of percentage analysis, ANOVA, and multiple regression were utilized to determine main drivers of satisfaction. It shows that salesperson product knowledge, installation support quality, and quality of after-sales service have meaningful impacts on total customer satisfaction. This paper summarizes with practical recommendations to enhance service consistency, training, and post-purchase involvement at Shristi.

Keywords: Interior décor, customer satisfaction, product customization, service quality, Shristi

Abstract: The stock market is dynamic in nature, with several factors contributing to volatility in the prices of stocks. This research delves into the notion of stock price flakiness a term employed to refer to unpredictable and irregular fluctuations in stock values by examining a chosen company that is listed on the National Stock Exchange (NSE) of India. The aim is to determine the root causes and patterns of volatility influencing investor choice and market performance. Based on past stock price history, technical measures, and statistical methods like standard deviation, beta analysis, and moving averages, the research investigates the magnitude and character of price flakiness over a specified time period. The effect of macroeconomic factors, firm-specific news, and investor attitude on stock price behavior is also analyzed. The study endeavors to shed light on how transient anomalies diverge from long-run trends and influence risk management as well as investment decisions. The study of such fluctuations helps towards improved comprehension of market behavior as well as giving investors the mechanisms to predict and react to sporadic price patterns. The results of this study can assist in creating more stable financial models and enhance forecast accuracy in the equity markets.

Keywords: Technical Indicators, Price Instability, Stock Price Flakiness, Market Fluctuations, Stock Market Trends, Investment Strategies.

Abstract: This research examines the effect of employee engagement programs at Tenneco Clean Air India Pvt. Ltd. with a focus on the role played by the HR Manager in generating commitment and productivity among the employees. Applying a descriptive research design, information was gathered using standard questionnaires from 118 employees in Chennai. The findings showed that successful engagement strategies have a strong positive effect on employee morale, loyalty, and job satisfaction. But it is in recognition and internal communication that there are still challenges. The research indicates the necessity of regular appreciation initiatives, open feedback systems, and improved wellness programs to fill these gaps. The research indicates that positive HR practices can be linked to better employee retention, job performance, and overall organizational success. This study provides useful information for HR professionals seeking to improve engagement and develop a more productive and motivated workforce.

Abstract: One of the most dynamic and rapidly expanding industries in India, the pharmaceutical sector contributes significantly to the country's economic expansion and leaves its mark on the global healthcare landscape. For investors, analysts, and politicians, understanding the risk-return dynamics of the industry has become essential due to ongoing regulatory changes, rising global demand, and the incorporation of cutting-edge technology. This study seeks to explore the financial performance and investment prospects of selected Indian pharma companies by evaluating their associated risks and returns. Investigating the relationship between risk and return in the Indian pharmaceutical industry, with a particular focus on both large-cap and mid-cap companies, is the main goal of this study. Performance is evaluated using key financial metrics like Return on Equity (ROE), Return on Assets (ROA), Earnings Per Share (EPS), Price-to-Earnings (P/E) ratio, and Debt-to-Equity ratio. Given the global reach and regulatory dependence of pharmaceutical activities, the analysis takes into account a variety of hazards, including commercial, operational, regulatory, and currency-related risks. Using secondary data from annual reports, SEBI filings, financial databases, and stock market records over the previous five years, a quantitative research approach is applied. To evaluate stock volatility and returns, a variety of statistical techniques are employed, such as regression models, standard deviation, beta, and correlation analysis. Furthermore, Jensen's Alpha, the Treynor Ratio, and the Sharpe Ratio are used to assess how well businesses provide returns relative to the risks they take. The findings show notable variations in the risk-return profiles of the examined enterprises. Generally speaking, large-cap pharmaceutical companies provide more reliable returns with comparatively reduced risk exposure. Smaller and mid-cap firms, on the other hand, have more room for expansion but also experience more volatility. The study also demonstrates how risk levels and profitability are significantly impacted by elements including foreign exposure, regulatory clearances, and research and development (R&D) spending. In conclusion, this study emphasizes how important thorough financial and risk analysis is to the Indian pharmaceutical industry. The results help firms improve their financial strategy, investors who want to make data-driven judgments, and regulators who want to create a stable economic climate. Continuous risk and return monitoring is crucial for attaining sustainable development and competitive advantage as the industry develops and grows internationally.

Keywords: Indian pharmaceutical sector, Large-cap companies, Risk-return analysis

Abstract: The automotive spare parts industry plays a critical role in ensuring the continuity, efficiency, and resilience of global vehicle operations. As the industry faces increasing complexity due to fluctuating demand, global disruptions, and technological advancements, predictive analytics has emerged as a strategic tool for supply chain optimization. This study explores the impact of predictive analytics on key areas of the automotive supply chain, including demand forecasting, inventory management, risk mitigation, and cost efficiency. Using secondary data from the Interplex Inventory Sales Report (Oct 2024 - Mar 2025), the research applies analytical techniques such as time-series forecasting, treemaps, and box-and-whisker plots to uncover trends and performance insights. The findings reveal that predictive analytics enables more accurate demand forecasting, reduces inventory imbalances, and supports proactive decision-making in the face of potential disruptions. High-performing products like Battery Terminal - B show strong alignment between sales and inventory strategies, while underperforming items highlight opportunities for improvement. The study also discusses how companies like TI Fluid Systems can leverage predictive tools for better supplier coordination and strategic planning. Overall, the results affirm that predictive analytics is a valuable enabler of supply chain agility, operational efficiency, and competitive advantage in the automotive sector. Future implications suggest that greater integration of real-time data and AI-driven models can further enhance supply chain resilience and sustainability.

Keywords: Predictive Analytics, Automotive Supply Chain, Inventory Optimization, Demand Forecasting, Supply Chain Resilience

Abstract: Work-life balance means that one can manage work and family or personal responsibilities so that they don't interfere with each other. With the fast pace of life and advancements in technology, being constantly connected has made it more difficult to maintain this balance. Yet, against all these barriers, a healthy work-life balance is vital to an individual's health because it influences physical health, mental stability, satisfaction at work, and personal well-being. People who achieve this balance generally have less stress, fewer opportunities for burnout, and better quality of life. They also exhibit enhanced concentration, creativity, and productivity at work. Organizations have a significant role in encouraging work-life balance by providing flexible work arrangements, telecommuting, and supportive leadership. Workplaces that have wellness programs and open communication build a positive environment where employees feel appreciated and encouraged. When leaders allocate workloads successfully and promote frequent breaks, morale increases and turnover is decreased. On an individual basis, balance between work and life involves establishing clear boundaries, using time well, and taking care of oneself by exercising regularly, resting, and relaxing mentally. Avoiding work communication outside the office environment is crucial for mental health, particularly in hybrid or remote work environments. Finally, balance between work and life is a process that continues. When both employees and employers adopt it, the outcome is a healthier, engaged, and stable workforce.

Keywords: "Work-life balance", "Job satisfaction", "Burnout prevention", "Employee productivity", "Flexible work policies"

Abstract: The maritime supply chain, vital to global trade, faces increasing disruptions from pandemics, geopolitical tensions, and operational inefficiencies. This study examines the impact of such disruptions on Chennai Port, focusing on cargo throughput, vessel turnaround time, labor availability, and hinterland connectivity. Through a mixed-method approach, the research highlights significant slowdowns at Chennai Port during crises, revealing vulnerabilities in port operations. The study also identifies resilience strategies like digital technology adoption, improved coordination, and infrastructure upgrades. It concludes with policy recommendations to enhance the resilience of Indian ports through a technology-driven, integrated supply chain system.

Keywords: Supply Chain Disruption, Port Operations, Chennai Port , Resilience Strategies , Hinterland Connectivity.

Abstract: Recruitment is the process of finding the right people for a job, starting with a company defining its needs and then attracting candidates through various methods like online job boards, employee referrals, and social media. This involves screening applications and resumes, potentially using Applicant Tracking Systems (ATS), and assessing candidates through interviews, tests, and other evaluations. In India, this process includes specific adaptations like the use of job portals like Naukri.com and faces challenges such as skill gaps and regional diversity, while also being influenced by trends like AI and a focus on candidate experience. The importance of employer branding to attract top talent, the utilization of data-driven recruitment strategies for informed decision-making, the strategic use of social media for talent engagement, the increasing prevalence of the gig economy and contract staffing, and the personalization of candidate engagement to cater to individual preferences. Despite these advancements, recruiters encounter challenges such as attracting qualified candidates, engaging top talent in a competitive market, managing time-to-hire, addressing skill gaps, navigating high competition and regional diversity, mitigating employee attrition, ensuring a positive candidate experience, overcoming unconscious bias, and effectively integrating technology while preserving the human element in the recruitment process

Keywords: Recruitment, Sourcing and Screening, Career Gap, Fake Profiles, Covering gaps, Skill levels.

Abstract: Air freight is a vital component of global logistics, offering rapid and reliable transport for high-value and time-sensitive goods. However, it is often the most expensive mode of cargo transportation. This project explores cost-effective strategies in air freight management to help businesses optimize operations while maintaining service quality. It examines key factors influencing costs, such as fuel prices, route planning, cargo consolidation, and technology integration. The study also investigates how strategic partnerships, use of digital freight platforms, and lean logistics practices can reduce operational expenses. Through case studies and data analysis, this project highlights practical approaches for improving efficiency, enhancing customer satisfaction, and achieving sustainable cost reductions in the air cargo industry.

Abstract: This research analyses the financial sustainability of Star Health and Allied Insurance Co. Ltd., a top private standalone health insurer in India. With the healthcare sector becoming more complex as medical expenses rise, regulatory demands increase, and customers become more demanding, financial sustainability has emerged as a key driver of long-term success. This study employs a mixed-methods strategy of ratio analysis, trend analysis, and comparative financial performance between the years 2020 and 2024. Performance indicators such as the claims ratio, expense ratio, net profitability, solvency, and liquidity are examined to determine how Star Health developed and responded to internal and external forces. The results show significant enhancements in claims handling, operational effectiveness, and profitability despite liquidity and working capital challenges. The report points to the need for digitalization, investment prudence, and forward-looking risk management in ensuring business continuity. This study provides useful insights to stakeholders in the insurance industry, including policymakers, investors, and financial analysts who wish to know the dynamics of private health insurance in India

Abstract: Customer Relationship Management (CRM) has become a critical strategic tool in improving customer engagement and loyalty in various industries, including agri-tech. This study investigates the effectiveness of CRM at GetFarms, a company offering managed farmland investment solutions. By analyzing data from CRM users and internal systems, the study evaluates CRM's impact on customer satisfaction, retention, and operational efficiency. Statistical tools such as regression and ANOVA were used to interpret the results. Findings show mixed perceptions regarding CRM effectiveness, highlighting both strengths and gaps. This research offers valuable insights for improving CRM implementation to foster trust, personalization, and long-term relationships in agri-tech.