MUMBAI, India, Oct. 12 -- Intellectual Property India has published a patent application (202641119076 A) filed by Rathinam Global Deemed To Be University on October 05, 2026, for Smart Ai-Driven Warehouse Automation And Real-Time Commercial Inventory Tracking Device.
Inventors include Dr. B. Bushara; Ms. P. Girija; Ms. V. Priyanka; Mr. P. Sasikumar; Mrs. K. Jaya Sowmiya; Ms. G. Revathi; Ms. A. Shobika; Dr. T. M. Hemalatha; Dr. M. Sivaramkrishnan; Dr Krishnaraj C; Dr. G. Arutgeevitha; Dr. B. Geethpriya; Dr. G. Kowsalya; and Dr. N. Rajendran.
The application for the patent was published on October 09, 2026, under issue no. 41/2026.
Abstract: Smart AI-Driven Warehouse Automation and Real-Time Commercial Inventory Tracking Device Abstract: The present invention relates to a smart AI-driven warehouse automation and real-time commercial inventory tracking device configured to automate, monitor, identify, locate, and manage commercial inventory within a warehouse environment. The device integrates artificial intelligence, machine learning, Internet of Things (IoT) sensors, wireless communication, computer vision, identification technologies, inventory databases, and automated material-handling mechanisms to provide continuous and real-time visibility of stored goods. The system comprises a plurality of intelligent inventory identification units, sensing modules, imaging modules, processing units, communication interfaces, storage- location monitoring units, automated handling units, and a centralized or distributed control platform. Each inventory item, package, container, pallet, rack, or storage unit may be identified using RFID, barcode, QR code, optical recognition, or a combination thereof. The sensing modules continuously acquire information relating to inventory quantity, location, movement, environmental conditions, stock status, and warehouse activity. The AI processing unit analyzes the acquired information to automatically determine inventory levels, identify misplaced or missing items, detect duplicate or inconsistent records, recognize movement patterns, predict inventory requirements, and generate automated alerts or operational instructions. The invention thereby provides an integrated intelligent warehouse automation and inventory tracking architecture capable of reducing manual inventory operations, improving inventory accuracy, reducing misplaced inventory, optimizing warehouse utilization, supporting predictive replenishment, improving order fulfillment, and providing continuous real-time visibility of commercial inventory throughout warehouse operations.
Disclaimer: Curated by HT Syndication.
