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International Advanced Research Journal in Science, Engineering and Technology
International Advanced Research Journal in Science, Engineering and Technology A Monthly Peer-Reviewed Multidisciplinary Journal
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← Back to VOLUME 13, ISSUE 4, APRIL 2026

Data-Driven Business Intelligence and Prediction System using Customer, Local and Demand Analysis

Dr. N. A Ghodichor, Mr. Prathmesh Bijwe, Ms. Yashasvi Vairagade, Mr. Prakhar Jais, Mr. Nishant Shende, Ms. Sejal Bhajipale

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Abstract: The "Smart Market Intelligence & Opportunity Detection System" project aims to support small businesses and entrepreneurs by providing data-driven insights into market gaps, consumer behavior, and competitive dynamics. Leveraging Machine Learning and Data Science techniques, this system analyzes diverse data sources such as e¬commerce platforms, regional economic indicators, and online consumer sentiment to identify unmet product demand and emerging opportunities. It utilizes clustering algorithms, predictive models, sentiment analysis, and scoring mechanisms to evaluate feasibility, assess competition, and recommend strategic actions. By integrating features like market gap detection, price intelligence, and risk analysis, the system enables informed decision-making, reduces market uncertainty, and promotes sustainable business growth.

Keywords:
Market intelligence, e-commerce analysis, sentiment analysis, business opportunity, small business, machine learning

How to Cite:

[1] Dr. N. A Ghodichor, Mr. Prathmesh Bijwe, Ms. Yashasvi Vairagade, Mr. Prakhar Jais, Mr. Nishant Shende, Ms. Sejal Bhajipale, “Data-Driven Business Intelligence and Prediction System using Customer, Local and Demand Analysis,” International Advanced Research Journal in Science, Engineering and Technology (IARJSET), DOI: 10.17148/IARJSET.2026.13457

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