MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202641076782 A) filed by Sns College Of Technology on June 21, 2026, for System And Method For Ai-Based Inventory Management, Forecasting, And Multi-Location Optimization.
Inventors include Dr. M. Siva Ramkumar; Anishkumar K; Bhavatharani A M; Bishvaajeetha G S; Dr. Husna Khouser G; and Mrs. B. Sajitha.
The application for the patent was published on July 03, 2026, under issue no. 27/2026.
Abstract: The present invention relates to a system and method for intelligent inventory forecasting, real-time monitoring, and automated optimization across multiple warehouse locations. The system integrates data collection and processing modules to gather inventory, sales, supplier, and logistics data from internal databases and external application programming interfaces. A demand analysis and forecasting engine utilizes time-series models, statistical techniques, and machine learning algorithms to predict future demand patterns, identify seasonal variations, and detect anomalies. The invention further includes a multi-location optimization module that models warehouse networks using graph-based techniques to determine optimal stock allocation, inter-warehouse transfer strategies, and cost-effective distribution. A priority-based reorder and alert engine automatically generate replenishment decisions based on forecasted demand, safety stock levels, and supplier lead times. The system also incorporates supplier and cost optimization mechanisms to evaluate vendor performance, reduce procurement costs, and enhance supply chain efficiency. A role-based user interface enables owners and managers to monitor inventory, approve recommendations, track performance, and receive real-time alerts through dashboards and remote communication platforms. By improving forecasting accuracy, reducing operational costs, minimizing stockouts and overstocking, and enhancing supply chain resilience, the invention supports scalable, data-driven inventory management across diverse industries.
Disclaimer: Curated by HT Syndication.
