MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202621062952 A) filed by Vikrant University, Gwalior on May 18, 2026, for Ai-Based System For Customer Behavior Analysis And Retail Decision Management.
Inventors include Dr. Abhay Singh Rajput; Dr. Rahul Kushwah; Mr. Dhruv Sharma; Ms. Abhilasha Dubey; and Mr. Rhythm Agarwal.
The application for the patent was published on July 17, 2026, under issue no. 29/2026.
Abstract: An AI-based system for customer behavior analysis and retail decision management is disclosed. The system comprises a customer data acquisition module configured to collect customer interaction data from retail stores, e-commerce platforms, mobile applications, point-of-sale systems, and connected retail devices. A preprocessing engine normalizes and structures the collected data for analysis by a behavioral intelligence engine utilizing artificial intelligence and machine learning models to identify purchasing intent, customer preferences, engagement trends, and shopping behavior patterns. A predictive retail management engine generates operational recommendations including inventory optimization, dynamic pricing, personalized promotions, workforce allocation, and product placement strategies. A decision execution module communicates the generated recommendations to connected retail management systems for automated or semi-automated implementation. The system further incorporates a continuous adaptive learning framework configured to retrain predictive models using real-time customer response data and retail performance metrics to improve predictive accuracy and operational efficiency across omnichannel retail environments.
Disclaimer: Curated by HT Syndication.
