MUMBAI, India, July 13 -- Intellectual Property India has published a patent application (202611055561 A) filed by Greater Noida Institute Of Technology Engineering Institute on May 01, 2026, for Predicting And Comparing Product Prices Across Online Retail Platforms Using Machine Learning.
Inventors include Ms. Nisha Pandey; Dr. Navin Prakash; Deepanshu Kumar Pandit; Harshit Raj; Harshit Rastogi; Dhruv Varshney; Khusi Yadav; Arushi; Bhumi Singh; Bhanu Pratap Singh; Deeksha Raajput; and Mr. Nitin.
The application for the patent was published on July 10, 2026, under issue no. 28/2026.
Abstract: The present invention relates to a system and method for predicting and comparing product prices across multiple online retail platforms using machine learning and real-time data acquisition. The system collects product data from various platforms, processes the data to extract relevant features, and applies machine learning models to predict the lowest product price. The system compares prices across platforms and generates recommendations to assist users in making cost-effective purchasing decisions. Results are presented through an interactive web-based interface. The invention provides an efficient, scalable, and intelligent solution for optimizing online shopping.
Disclaimer: Curated by HT Syndication.
