MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202611027481 A) filed by Dr. Sachin Kumar Mangla; and Dr. Gunjan Soni, New Delhi, on March 9, for 'decentralized multi-agent artificial intelligence system for mitigating bullwhip effect in supply chains.'
Inventor(s) include Dr. Sachin Kumar Mangla; and Dr. Gunjan Soni.
The application for the patent was published on May 1, under issue no. 18/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to a decentralized artificial intelligence-based system for mitigating demand amplification in multi-tier supply chain networks. The system comprises a plurality of supply chain nodes including retailers, distributors, manufacturers, and suppliers, each equipped with a node-embedded autonomous agent configured to analyze local demand information and perform decentralized decision-making. A probabilistic belief synchronization engine enables nodes to exchange statistical demand parameters including demand mean, variance, and uncertainty indicators, thereby aligning demand expectations across the network. A multi-agent reinforcement learning coordinator continuously updates decision policies of the autonomous agents based on operational outcomes such as order variance, stockouts, and service levels. A game-theoretic negotiation module facilitates dynamic negotiation of replenishment quantities between adjacent nodes, while a volatility dampening optimization layer dynamically regulates safety stock levels to stabilize inventory fluctuations. Through coordinated probabilistic reasoning and collaborative learning, the system reduces the bullwhip amplification coefficient and stabilizes demand propagation across global supply chain networks."
Disclaimer: Curated by HT Syndication.
