AI-Driven Platform for Direct Market Access for Farmers

DOI

10.2991/978-94-6463-738-0_57How to use a DOI?

Keywords

Direct market access; Ecommerce platform; Price comparison; Online trade; Product listing; Consumer farmer interaction Digital market place

Abstract

Agriculturist Merchant is a computerized stage planned to back country agriculturists by giving coordinate advertise get to, permitting them to offer their items specifically to customers and the nourishment handling industry. The stage leverages Manufactured Insights (AI) to optimize real-time estimating, offer personalized item suggestions, and foresee request designs. AI instruments empower energetic estimating, fetched comparison, and robotized stock administration, making a difference agriculturists make educated choices on generation and estimating. By disposing of agents, the stage guarantees reasonable estimating and moves forward item accessibility, profiting both agriculturists and consumers.

The site offers a basic interface that makes it simple for agriculturists to list and offer their items, whereas too giving get to real-time showcase information and experiences into customer behaviour and patterns. The stage advances quality items and upgrades showcase openings for agriculturists by interfacing them to virtual systems and making modern exchange avenues.

This framework points to address the challenges agriculturists confront in offering their products, advertising an easy-to-use arrangement for coordinate exchanges. It cultivates a more straightforward and impartial commercial, moving forward proficiency in the agrarian segment. Eventually, it benefits both ranchers and shoppers by streamlining rural exchange and encouraging coordinate intelligent between makers and buyers.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Rupali Vyas
AU  - Vedita Kesharwani
AU  - Chirag Rohra
AU  - Rounak Sundrani
PY  - 2025
DA  - 2025/06/22
TI  - AI-Driven Platform for Direct Market Access for Farmers
BT  - Proceedings of the International Conference on Advances and Applications in Artificial Intelligence (ICAAAI 2025)
PB  - Atlantis Press
SP  - 713
EP  - 730
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-738-0_57
DO  - 10.2991/978-94-6463-738-0_57
ID  - Vyas2025
ER  -