Research Article
EcoPlate: Unified Full-Stack Platform for Packed Food Redistribution with AI-Driven Dynamic Pricing
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 187 - Issue 83 |
| Published: February 2026 |
| Authors: Pradeep Chinthapally, Kaluva Nithin Kumar Reddy, Kalpana Ettikyala |
10.5120/ijca2026926459
|
Pradeep Chinthapally, Kaluva Nithin Kumar Reddy, Kalpana Ettikyala . EcoPlate: Unified Full-Stack Platform for Packed Food Redistribution with AI-Driven Dynamic Pricing. International Journal of Computer Applications. 187, 83 (February 2026), 1-5. DOI=10.5120/ijca2026926459
@article{ 10.5120/ijca2026926459,
author = { Pradeep Chinthapally,Kaluva Nithin Kumar Reddy,Kalpana Ettikyala },
title = { EcoPlate: Unified Full-Stack Platform for Packed Food Redistribution with AI-Driven Dynamic Pricing },
journal = { International Journal of Computer Applications },
year = { 2026 },
volume = { 187 },
number = { 83 },
pages = { 1-5 },
doi = { 10.5120/ijca2026926459 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2026
%A Pradeep Chinthapally
%A Kaluva Nithin Kumar Reddy
%A Kalpana Ettikyala
%T EcoPlate: Unified Full-Stack Platform for Packed Food Redistribution with AI-Driven Dynamic Pricing%T
%J International Journal of Computer Applications
%V 187
%N 83
%P 1-5
%R 10.5120/ijca2026926459
%I Foundation of Computer Science (FCS), NY, USA
Abstract
A significant amount of pre-packaged food is discarded by retailers due to products approaching their expiration dates. Although these items remain safe for consumption, food businesses face regulatory constraints and reputational risks, resulting in significant food waste and substantial financial losses. EcoPlate aims to address this issue through the development of a fully integrated, customized web platform combined with an Artificial Intelligence system for dynamic pricing. The platform enables retailers to list food items nearing expiration, allowing customers to purchase them at progressively optimized discounts. An automated expiry date tracking system adjusts pricing based on remaining shelf life, inventory levels, and demand patterns. By leveraging modern web technologies and Artificial Intelligence, EcoPlate seeks to minimize retailer losses and promote sustainable consumption practices.
References
- J. Barto, A. S. Eruguz, R. Spliet, and S. Wøhlk, ”Reduced food waste through inventory control despite throwing out food before expiration: Online vs. offline retail,” Omega, vol. 128, p. 103131, 2024.
- Y. Zhang, E. van Herpen, E. J. Van Loo, M. Pandelaere, and M. Geuens, ”Save near-expired food: Does a message to avoid food waste affect food purchase and household waste prevention behaviors?,” Journal of Cleaner Production, vol. 384, p. 135555, 2023.
- L. Riesenegger, M. J. Santos, M. Ostermeier, S. Martins, P. Amorim, and A. H¨ubner, ”Minimizing food waste in grocery store operations: Literature review and research agenda,” Sustainability Analytics and Modeling, vol. 3, p. 100023, 2023.
- J.Wu, Y. Zou, Z. Chen, L. Xue, and A. Manzardo, ”Reducing potential retail food waste through a data-driven dynamic shelf life approach: Insights from consumer engagement,” Applied Food Research, vol. 5, p. 100819, 2025.
- P. Balakrishnan et al., ”Artificial intelligence for food safety: From predictive models to real-world safeguards,” Trends in Food Science & Technology, vol. 163, p. 105153, 2025.
- H. Onyeaka et al., ”Artificial intelligence in food system: Innovative approach to minimizing food spoilage and food waste,” Journal of Agriculture and Food Research, vol. 21, p. 101895, 2025.
Index Terms
Keywords