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AN AI-DRIVEN REVIEW OF E-COMMERCE STRATEGIES FOR SUPPLY CHAIN OPTIMIZATION AND DEMAND FORECASTING IN THE AGRICULTURE SECTOR.


EOI: 10.11242/viva-tech.01.09.47

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Citation

Shreya Ghadi, Vaishali Shimpi, Sadniya Babar, Kashish Ghadi, " AN AI-DRIVEN REVIEW OF E-COMMERCE STRATEGIES FOR SUPPLY CHAIN OPTIMIZATION AND DEMAND FORECASTING IN THE AGRICULTURE SECTOR. ", VIVA-IJRI Volume 1, Issue 9, Article 47, pp. 1-6, 2026. Published by Artificial Intelligence And Machine Learning Engineering Department, VIVA Institute of Technology, Virar, India.

Abstract

The agricultural sector plays a vital role in global economic stability, yet it continues to face persistent challenges such as fragmented supply chains, lack of transparency, demand uncertainty, and limited technological adoption. Mango cultivation and distribution, in particular, suffer from inefficiencies related to post-harvest losses, quality inconsistency, and unreliable market access for both producers and consumers. This research paper presents Mango Hub, an AI-driven e-commerce platform designed to modernize the agricultural value chain by integrating digital commerce with intelligent supply chain optimization and demand forecasting strategies. The system leverages modern web technologies such as React for the frontend, Node.js and Express.js for backend services, and MySQL for secure and structured data management. Beyond traditional e-commerce functionality, Mango Hub emphasizes quality assurance, trusted sourcing, and future integration of Artificial Intelligence and Machine Learning techniques to enhance logistics efficiency and predictive analytics. This review critically examines existing literature, identifies research gaps in agricultural e-commerce, and evaluates how the Mango Hub platform addresses these gaps through a scalable and technology-driven approach. The findings suggest that AI-enabled agricultural e-commerce platforms can significantly improve supply chain efficiency, reduce losses, and enhance consumer trust, thereby contributing to a more sustainable and transparent agricultural ecosystem..

Keywords

- Agricultural E-Commerce, Supply Chain Optimization, Demand Forecasting, Artificial Intelligence, Mango Hub, Smart Agriculture, Digital Agriculture.

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