MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641048829 A) filed by Asia Pacific World School; and Samuel Paul Isaac, Bengaluru, Karnataka, on April 16, for 'a system for personalized ai-based effective deal determination across e-commerce platforms.'
Inventor(s) include Samuel Paul Isaac; Dalavoi Dwaraka Sarathi; Swajeet Nitin Birje; Aswin Rajesh Nair; and Vaibhav Gautham Varma.
The application for the patent was published on May 1, under issue no. 18/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses a computer-implemented system for determining personalized effective deals across multiple e-commerce platforms. The system retrieves product data, ingests promotional content, and employs a generative artificial intelligence module to convert natural-language promotional terms into structured offer rules. User-specific attributes including payment instruments, memberships, and preferences are matched with the extracted rules to identify applicable offers. A deal computation engine calculates the final effective cost by combining discounts, coupons, cashback, taxes, and shipping charges, while also evaluating delivery and seller reliability parameters. An effective deal score is generated to rank available options. The system further provides stepwise instructions for obtaining the optimal deal. The invention enhances decision-making by delivering accurate, personalized, and automated deal optimization in complex digital commerce environments."
Disclaimer: Curated by HT Syndication.
