MUMBAI, India, March 13 -- Intellectual Property India has published a patent application (202541134708 A) filed by Dr. V. Sivaraj, Coimbatore, Tamil Nadu, on Dec. 31, 2025, for 'machine learning-based consumer preference prediction system for e-commerce platforms.'
Inventor(s) include Ms. L. Padmavathy; Mrs. G. Rubadevi; Dr. S. Nithya; Dr. Adalarasu B; Dr. S. Rajam; Dr. D. Divya; Dr. N. Shanmugapriya; Dr. Kayathri K; Dr. M. Revathi; and Dr. V. Sivaraj.
The application for the patent was published on March 13, under issue no. 11/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to a machine learning-based consumer preference prediction system for e-commerce platforms. The system is designed to collect and analyze consumer interaction data including browsing history, search behavior, purchase patterns, ratings, and feedback. The collected data is preprocessed and transformed into meaningful feature representations, which are analyzed using one or more machine learning models to predict individual consumer preferences. Based on the predicted preferences, the system generates personalized product recommendations, targeted advertisements, and customized user experiences in real time. The invention incorporates continuous learning through user feedback to improve prediction accuracy and adaptability over time. The proposed system enhances customer satisfaction, increases conversion rates, and supports data-driven decision-making for e-commerce platforms."
Disclaimer: Curated by HT Syndication.
