MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202611064570 A) filed by Dr Charu Bisaria; Dr. Babasaheb Sampatrao Sawant; Dr. Vinita Kale; Dr Arpitha M P; Dr. Navneet Rohela; Dr. Sachin Kumar Agrawal; Anitha R; Dayananda Sagar Academy Of Technology And Management; Archana R Kollur; Rahul Shahaji Patil; Dhanapal M; and Ambrish Gangal on May 22, 2026, for Machine Learning-Based Real-Time Dynamic Pricing Framework For E- Commerce Platforms.
Inventors include Dr Charu Bisaria; Dr. Babasaheb Sampatrao Sawant; Dr. Vinita Kale; Dr Arpitha M P; Dr. Navneet Rohela; Dr. Sachin Kumar Agrawal; Anitha R; Archana R Kollur; Rahul Shahaji Patil; Dhanapal M; and Ambrish Gangal.
The application for the patent was published on July 17, 2026, under issue no. 29/2026.
Abstract: Machine Learning-Based Real-Time Dynamic Pricing Framework for E-Commerce Platforms is the proposed invention. The proposed invention is designed to optimize product pricing automatically by analyzing real-time market conditions, customer purchasing behavior, competitor pricing, seasonal trends, and inventory status. Large-scale e-commerce data are collected from online transactions, browsing activities, sales records, and customer interactions. The collected data undergo preprocessing and feature extraction to identify important pricing-related parameters such as product demand, customer engagement, discount patterns, and market competition. The Random Forest model predicts optimal product prices dynamically with high accuracy by combining multiple decision tree outputs. The framework continuously updates product prices in real time to maximize profitability, improve sales conversion, and maintain competitive market positioning. The proposed system enhances operational efficiency, reduces manual pricing efforts, and provides intelligent analytical insights for strategic business decision-making in modern e-commerce environments.
Disclaimer: Curated by HT Syndication.
