MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202641076809 A) filed by Sns College Of Technology on June 21, 2026, for Smart Shopping Assistant.
Inventors include Dr. M. Siva Ramkumar; Mukilan B; Mohamed Thawfeeq T; Logeshwar An K; Kishore R; Dr. Husna Khouser G; and Mrs. B. Sajitha.
The application for the patent was published on July 03, 2026, under issue no. 27/2026.
Abstract: The present invention relates to an integrated AI-powered smart shopping 4 optimization platform designed to facilitate efficient shopping list management, 5 real-time price analysis, and intelligent budget optimization within a unified 6 environment. The platform incorporates real-time data aggregation mechanisms 7 supporting multiple data sources, predictive analytics models, and scalable 8 algorithmic techniques, enabling accurate estimation of price trends and purchasing 9 behavior. It further integrates machine learning frameworks to implement price 10 prediction and alternative product recommendation using data-driven optimization 11 methods. 12 The system provides an intuitive user interface for shopping list creation, price 13 visualization, and decision tracking, along with automated data retrieval and 14 synchronization across multiple market platforms. A comparison mechanism 15 evaluates differences between predicted and real-time prices, ensuring accuracy and 16 improved decision-making. Additionally, the platform includes cost estimation, 17 budget management, and reproducibility features through structured transaction 18 tracking. By bridging the gap between raw market data and intelligent purchasing 19 decisions, the invention enhances accessibility, efficiency, and scalability in smart 20 shopping and retail optimization applications.
Disclaimer: Curated by HT Syndication.
