MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202631079592 A) filed by Prabal Das; Nabendu Sen; Nilanjana Chakrabarty; and Amit Kumar Das on June 29, 2026, for Artificial Intelligence Enabled Household Food Inventory Management And Waste Reduction System Using Predictive Analytics.
Inventors include Prabal Das; Nabendu Sen; Nilanjana Chakrabarty; and Amit Kumar Das.
The application for the patent was published on July 17, 2026, under issue no. 29/2026.
Abstract: ABSTRACT Artificial Intelligence Enabled Household Food Inventory Management and Waste Reduction System Using Predictive Analytics The present invention relates to an artificial intelligence-enabled smart household inventory and food waste reduction system configured to reduce household food waste through predictive consumption forecasting, deterioration estimation, inventory optimization, and intelligent replenishment planning. The system comprises a Data Acquisition Module, an Inventory Database Module, a Predictive Consumption Module, a Deterioration Estimation Module, an Optimization and Decision Module, a User Interface and Notification Module, a Smart Appliance Integration Module, a Grocery Platform Integration Module, and an Adaptive Learning and Feedback Module. The system acquires food-item-related information from multiple sources, predicts future consumption requirements, estimates spoilage risks and remaining shelf life, generates consumption and replenishment recommendations, and continuously improves prediction accuracy using adaptive learning techniques. The disclosed invention facilitates intelligent inventory management, automated grocery planning, waste prevention, and sustainable household resource utilization. The invention further supports integration with smart appliances, environmental sensors, image-recognition systems, RFID devices, and online grocery platforms for automated inventory monitoring and decision support.
Disclaimer: Curated by HT Syndication.
