MUMBAI, India, Aug. 10 -- Intellectual Property India has published a patent application (202641089348 A) filed by Bgs College Of Engineering And Technology Bgscet on July 22, 2026, for Autonomous Hybrid Forecasting And Analytics System And Method For Inventory Optimization.
Inventors include Ravikumar Guralamata Krishnegowda; Govindaiah Thimma Raju; Jalaja Govindappa; Maddanahalli Ramesh Siddarth; Syed Nadeem Ahmed; and Karthik Ganesh.
The application for the patent was published on July 31, 2026, under issue no. 31/2026.
Abstract: Traditional demand forecasting systems rely on isolated forecasting models, require frequent manual retraining, and exhibit limited adaptability to changing demand patterns, resulting in reduced forecasting accuracy and inefficient inventory management. The present disclosure provides a computer-implemented method and an autonomous hybrid forecasting and analytics system (100) comprising a data management module (104) configured to preprocess data received from a plurality of data sources, a hybrid forecasting engine (106) configured to generate individual demand forecasts using a plurality of forecasting models, an adaptive ensemble and dynamic weighting module (107) configured to determine adaptive weights for the plurality of forecasting models and generate a hybrid forecast, a model monitoring and autonomous learning module (110) configured to continuously evaluate forecasting performance and automatically retrain forecasting models upon detection of forecasting performance degradation, and an analytics and decision layer (108) configured to generate inventory optimization parameters and operational recommendations, thereby improving forecasting accuracy, adaptability, and enterprise decision support.
Disclaimer: Curated by HT Syndication.
