MUMBAI, India, Feb. 6 -- Intellectual Property India has published a patent application (202631009425 A) filed by Dr. Abhijit Pandit, Dr. Deepak Bisht; Mrs. Snehal Vinayak Sinalkar; Ms. Paladugu Harshitha; Dr. Srinivasan Nagaraj; Dr. Anusha R Sharath; Dr. M. Natarajan; and Dr. Aarti Dangwal, Murshidabad, West Bengal, on Jan. 29, for 'customer segmentation and profiling system using machine learning.'
Inventor(s) include Dr. Abhijit Pandit; Dr. Deepak Bisht; Mrs. Snehal Vinayak Sinalkar; Ms. Paladugu Harshitha; Dr. Srinivasan Nagaraj; Dr. Anusha R Sharath; Dr. M. Natarajan; and Dr. Aarti Dangwal.
The application for the patent was published on Feb. 6, under issue no. 06/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to a Customer Segmentation and Profiling System Using Machine Learning that enables automated, accurate, and dynamic analysis of customer data for improved business decision-making. The system is designed to process large volumes of heterogeneous customer data, including transactional, demographic, and behavioral information, to generate meaningful customer segments and detailed customer profiles. By employing advanced machine learning techniques, the invention overcomes the limitations of traditional, rule-based, and static segmentation approaches. The system integrates data from multiple sources into a unified analytical framework and applies automated data preprocessing and feature engineering to extract relevant customer attributes. Machine learning models are used to identify patterns, similarities, and trends within the data, enabling the formation of distinct customer segments and the creation of comprehensive customer profiles. The invention supports both descriptive and predictive analytics, allowing organizations to understand current customer behavior as well as anticipate future actions such as churn risk and customer lifetime value. A key aspect of the invention is its dynamic and continuous learning capability. As new customer data becomes available, the system automatically updates its models and segmentation results, ensuring that customer insights remain current and reflective of evolving behaviors. The invention also emphasizes scalability and interpretability, making it suitable for deployment in data-intensive environments while providing clear and actionable insights to business users. The Customer Segmentation and Profiling System Using Machine Learning is designed for seamless integration with existing customer relationship management and decision support systems. By enabling real-time or near-real-time insights, the invention enhances personalization, targeted marketing, customer retention, and strategic planning across various industries. Overall, the invention provides a comprehensive and intelligent solution for managing customer data, improving engagement, and supporting data-driven business strategies in complex and rapidly changing environments."
Disclaimer: Curated by HT Syndication.
