MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202611055992 A) filed by Greater Noida Institute Of Technology Engineering Institute on May 02, 2026, for System And Method For Real-Time Off-Screen E-Commerce Price Trend Analysis And Predictive Forecasting.
Inventors include Dr. Navin Prakash; Dr. Shiv Kant; Mr. Nitin; Abhavya Singh; Abhishek Kashyap; Aditya Kumar Verma; Aditya Prasad; Aditya Singh; Akanksha Kumari; Alok Kumar; Alok Raj; and Anjalee Kumari.
The application for the patent was published on July 17, 2026, under issue no. 29/2026.
Abstract: The present invention relates to a system and method for real-time analysis and prediction of product price trends in e-commerce platforms. The system utilizes an off-screen browser execution technique to extract real-time pricing data while bypassing anti-bot detection mechanisms. A simulation module generates synthetic historical datasets based on current pricing information, which are processed by a predictive modeling engine to forecast future price variations. The system incorporates safety logic to ensure realistic predictions and provides actionable recommendations indicating optimal purchase timing. Results are displayed through an interactive visualization interface. The invention provides a cost-effective, scalable, and reliable solution for assisting users in making informed purchasing decisions.
Disclaimer: Curated by HT Syndication.
