MUMBAI, India, Jan. 2 -- Intellectual Property India has published a patent application (202541123821 A) filed by Malla Reddy (MR) Deemed to be University; Malla Reddy Vishwavidyapeeth; Malla Reddy College Of Engineering And Technology; Malla Reddy Engineering College For Womens; Malla Reddy University; and Dr. Nampally Sridhar, Medchal-Malkajgiri, Telangana, on Dec. 9, 2025, for 'iot based smart inventory monitoring system for retail chains.'
Inventor(s) include Dr. Nampally Sridhar; Mr. Valle Shyam Kumar; Dr. A. Eswar Reddy; Ms. Nagalakshmi Panchakatla; Dr. Ekta Maini; and Ms. Janipalli Aruna.
The application for the patent was published on Jan. 2, under issue no. 01/2026.
According to the abstract released by the Intellectual Property India: "Retail chains process huge amounts of inventory that are spread in multiple stores, warehouses as well as distribution centres. The stock tracking done manually or periodical audits tend to cause misstatements, delays in refilling, and locating of the shrinkage or lost items. A smart inventory monitoring system based on the IoT can help overcome these issues because a set of connected sensor devices would monitor inventory levels, track objects in motion, environmental factors, and shelf activity in real time throughout the retail network. It incorporates RFID tags, smart shelves, weight sensors, and environmental sensors to record constant information about specific products and storage locations. The sensor node will send information to the local edge gateways that will analyse the stock changes, identify anomalies and produce alerts of low stock or unusual depletion trends or possible spoilage. All locations are aggregated to a central location, which gives a single view across the retail chain and makes predictions on demand forecasting, automated replenishment and inventory optimization. The machine learning models improve the predictions through the analysis of sales history, seasonal trends, and inventory movement trends. Loss prevention is also facilitated in the system leading to the detection of any irregular stock movements like removal of unexpected items or deviation of normal store operations. Live dashboards enable managers to track inventory performance and manage replenishment activities at various locations. Working together, the IoT sensing, adaptive analytics, and distributed monitoring system ensure better accuracy of stock, waste reduction, and efficiency of operations throughout retail settings."
Disclaimer: Curated by HT Syndication.
