MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202611053022 A) filed by Dr. Surya Kant Pal; Dr. Santosh Kumar; Dr. Panjabi Singh; and Dr. Yogendra Kumar Sagar, Greater Noida, Uttar Pradesh, on April 25, for 'artificial intelligence-based supply chain resilience for improving the firm performance of the msmes.'
Inventor(s) include Dr. Surya Kant Pal; Dr. Santosh Kumar; Dr. Panjabi Singh; and Dr. Yogendra Kumar Sagar.
The application for the patent was published on May 29, under issue no. 22/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses an Artificial Intelligence-Based Supply Chain Resilience System (100) specifically engineered for Micro, Small, and Medium Enterprises (MSMEs). The system (100) integrates seven core modules: a Multi-Source Data Ingestion and Preprocessing Module (110), an AI-Based Demand Forecasting and Risk Prediction Engine (120) employing LSTM neural networks and Gradient Boosting algorithms, a Supplier Resilience Scoring Module (130) computing dynamic Supplier Resilience Indices (SRI), an Intelligent Inventory Optimization Module (140) using Monte Carlo simulation and constraint-based optimization, a Disruption Detection and Early Warning Subsystem (150) employing Isolation Forest anomaly detection, a Firm Performance Analytics and Dashboard Module (160) correlating Supply Chain Resilience Scores (SCRS) with financial performance metrics, and a Cloud-Based Deployment and Integration Layer (170). The system enables MSMEs to proactively detect supply chain disruptions, optimize inventory, evaluate supplier risks, and quantify resilience improvements with minimal IT infrastructure. The end-to-end data pipeline achieves disruption alert latency under five minutes."
Disclaimer: Curated by HT Syndication.
