Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{197691,
        author = {Sanika Gaikwad and Abhi Mistry and Sweta Nigam},
        title = {NearFresh: An AI-Driven B2B Platform for Reducing Food Waste Using Dynamic Pricing},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {6348-6351},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=197691},
        abstract = {Food waste is one of the most pressing sustainability challenges of our time. Nearly one-third of all food produced for human consumption is discarded every year. This waste is largely caused by the rapid spoilage of perishable goods and a fundamental mismatch between supply and demand in the food supply chain. This paper introduces NearFresh, a specialized B2B digital platform that connects high-volume suppliers—such as hotels, supermarkets, and wholesalers—with smaller local vendors to efficiently redistribute food approaching its expiration date. NearFresh uses an XGBoost-based machine learning model for real-time spoilage prediction and a dynamic pricing engine that automatically adjusts discounts based on remaining shelf life, creating a strong financial incentive for rapid inventory turnover. The platform is built on a modern MERN stack (MongoDB, Express.js, React.js, Node.js) with a Python/FastAPI-based AI microservice, fully aligned with 2025 technical standards. Simulations on a synthetic dataset of 500 perishable items show that the system can reduce food waste by approximately 50% while also increasing supplier revenue by 25%. This mirrors industry reports showing 20–80% waste reduction through AI-driven pricing. NearFresh demonstrates how integrated digital innovation can transform supply chain inefficiencies into sustainable economic and environmental value.},
        keywords = {B2B Platform, Dynamic Pricing, Food Waste, Machine Learning, MERN Stack, Supply Chain, XGBoost},
        month = {April},
        }