MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202611056740 A) filed by Greater Noida Institute Of Technology Engineering Institute on May 04, 2026, for Customer Purchase Behaviour Prediction Using Artificial Intelligence And Machine Learning.
Inventors include Ms. Babita; Dr. Vijay Shukla; Dr. Shiv Kant; Dr. Aman Ahmad Ansari; Niharika Joshi; Nandinee; Rupesh Kumar; Sagar Kumar; Manshi Mishra; Mohd Amaan; Peeyush Kumar; and Akash Singh Dhillon.
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 predicting customer purchase behaviour using artificial intelligence and machine learning techniques. The system collects customer data including transaction history, demographic information, and browsing activity, and processes the data through preprocessing techniques such as normalization and cleaning. Feature selection methods are applied to identify key attributes influencing purchasing decisions. Multiple machine learning models are trained and evaluated using performance metrics to determine an optimal predictive model. The selected model is used to predict whether a customer is likely to make a purchase, generating actionable insights for business applications. The system enables improved marketing strategies, enhanced customer engagement, and data-driven decision-making.
Disclaimer: Curated by HT Syndication.
