MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202641062636 A) filed by Dr. Mohd Miskeen Ali; and Ghouse Mohammed on May 18, 2026, for Ai-Powered Personalized Shopping Assistant For Consumers.
Inventors include Dr. Mohd Miskeen Ali; and Ghouse Mohammed.
The application for the patent was published on July 17, 2026, under issue no. 29/2026.
Abstract: Abstract I 5 10 15 The fast expansion of e-commerce has made buying easier, but it has also made it difficult for customers to identify items that meet their tastes and requirements. Traditional recommendation algorithms often fail to provide fully tailored experiences, resulting in choice fatigue and decreased satisfaction. This work suggests developing an AT-powered customized shopping assistant that uses machine learning algorithms, natural language processing, and customer behavior analysis to provide tailored product suggestions. The system gathers and analyzes user data, such as browsing history, previous purchases, demographic information, and contextual variables, to understand individual preferences and forecast future demands. The assistant may provide tailored ideas, price alerts, and special offers by combining real-time data with adaptive learning, therefore increasing shopping efficiency and user engagement. Experimental results show that the proposed system achieves 92% suggestion accuracy, considerably lowering decision- making time and increasing user satisfaction. This technique demonstrates the promise of Al-driven customization in contemporary retail, giving customers with a smooth, intelligent, and personalized shopping experience while also providing businesses with actionable information to enhance marketing tactics and inventory managementds.
Disclaimer: Curated by HT Syndication.
