Autonomous Micro-Agents For Real-Time Shrinkage Prevention In Perishable Goods

Author(s)	Abhirup Mazumder
Country	United States
Abstract	This paper proposes a system that uses autonomous micro-agents to address shrinkage prevention in perishable goods throughout the supply chain. The system integrates IoT-powered agents capable of real-time monitoring, evaluation, and situation control to prevent losses from spoilage, theft, mishandling, and environmental changes. The architecture combines edge computing, blockchain, and machine learning to model spoilage patterns and coordinate micro-agent activities across the supply chain from farming to retail. Through simulations and live implementations, the system demonstrated significant improvements in reducing spoilage rates from 30% to 12%, decreasing response times to 6.7% of baseline, and increasing data accuracy to 96%. The work presents an intelligent and adaptable framework for smart logistics, environmental sustainability, and cost-effective supply chain management of perishable goods.
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 7, Issue 4, July-August 2025
Published On	2025-07-05
DOI	https://doi.org/10.36948/ijfmr.2025.v07i04.49465
Short DOI	https://doi.org/g9s88f

About IJFMR Fees & Payment Current Issue Publication Archive	Submit Research Paper Track Submission Status Publication Guidelines Publication Ethics Peer Review & Plagiarism	Join as a Reviewer Editors & Reviewers Reviewer Referral Program Get Reviewer Membership Certi.	Website/Journal Policies Usage Policy Content Policies Privacy Policy

Contact Us		+91-9687-828-838	editor@ijfmr.com

International Journal For Multidisciplinary Research