MUMBAI, India, Aug. 12 -- Intellectual Property India has published a patent application (202641093481 A) filed by Prince Shri Venkateshwara Padmavathy Engineering College; Prince Dr K Vasudevan College Of Engineering And Technology; Prince Shri Balaji Arts And Science College; and Prince Shri Venkateshwara Arts And Science College on August 01, 2026, for Customer Decision Support And Personalized Shopping Assistance System For Digital Commerce Platforms.
Inventors include Dr. Theboral Victoriya M; and Ms. Divya J.
The application for the patent was published on August 07, 2026, under issue no. 32/2026.
Abstract: The present invention discloses a customer decision support and personalized shopping assistance system for digital commerce platforms. The system collects customer interaction data including browsing history, purchase records, product ratings, reviews, payment information, and shopping behavior from online shopping platforms. The collected data are pre-processed using data cleaning, normalization, and feature extraction techniques before being analysed to determine customer preferences and purchasing patterns. The system evaluates multiple decision-making parameters including product quality, pricing, promotional offers, convenience, delivery performance, platform usability, trust, and customer feedback. Based on the analysed information, predictive models estimate customer satisfaction, purchase intention, product affinity, and customer loyalty. A personalized recommendation module generates customized product recommendations, promotional offers, shopping reminders, and purchasing suggestions according to customer preferences. Customer feedback is continuously incorporated to improve prediction accuracy and recommendation quality. The invention assists customers in making informed purchase decisions while enabling retailers to improve customer engagement, marketing effectiveness, customer retention, and operational efficiency through intelligent decision support.
Disclaimer: Curated by HT Syndication.
