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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 2, FEBRUARY 2026

WEB-BASED TRUCK BIDDING PLATFORM

Hariprasath G, Mrs. A. Sathiya Priya

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Abstract: The rapid expansion of global supply chains and the increasing demand for efficient transportation services have significantly transformed the logistics industry. Traditional freight management systems rely heavily on manual coordination, telephonic negotiations, and fragmented data handling mechanisms, which often lead to pricing inefficiencies, underutilization of fleet resources, delayed shipments, and limited operational transparency. This paper presents a web-based truck bidding platform named OptiFreight Logistics, designed to digitally connect shippers and truck owners within a unified ecosystem. The system is developed using modern web technologies including React, TypeScript, and Vite, and integrates AI-assisted components to enhance operational intelligence. The platform enables real-time freight posting, competitive bidding by truck owners, automated bid evaluation, fleet monitoring, and performance analytics visualization. Through role-based access control and structured workflow management, the system improves transparency, reduces manual intervention, optimizes truck allocation, and enhances decision-making efficiency. The proposed solution demonstrates how intelligent web-based platforms can modernize freight coordination and provide scalable solutions for digital logistics transformation.

Keywords: Smart Logistics, Freight Management System, Fleet Optimization, Real-Time Bidding, AI in Logistics, Web-Based Transportation Platform.

How to Cite:

[1] Hariprasath G, Mrs. A. Sathiya Priya, “WEB-BASED TRUCK BIDDING PLATFORM,” International Advanced Research Journal in Science, Engineering and Technology (IARJSET), DOI: 10.17148/IARJSET.2026.13257

Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License.