MUMBAI, India, Aug. 10 -- Intellectual Property India has published a patent application (202641085116 A) filed by The Registrar, Vels Institute Of Science, Technology And Advanced Studies Vistas on July 11, 2026, for Intelligent Customer Relationship Management System Using Predictive Analytics And Machine Learning.

Inventors include Dr. R. Rajesh Kanna; Dr. P. Vijayashree; Dr. S. Subbulakshmi; Dr. K. Latha; L. Bhuvaneswari; R. Nageswari; Nalani. R; J. Pugazhenthi; S. Kalaivani; Kishore Chanduru Kr; and T. Dineshkumar.

The application for the patent was published on July 31, 2026, under issue no. 31/2026.

Abstract: Intelligent Customer Relationship Management System Using Predictive Analytics and Machine Learning is the proposed invention. The proposed invention discloses an intelligent Customer Relationship Management (CRM) system that utilizes predictive analytics and machine learning to enhance customer engagement, retention, and business decision-making. The system employs an Extreme Gradient Boosting (XGBoost) predictive model to analyze historical customer interactions, purchase behavior, service requests, transaction records, and communication patterns. The trained model predicts customer churn probability, future purchasing potential, customer lifetime value, and personalized product recommendations. Centralized analytics engine continuously updates customer profiles using real-time data streams and generates actionable insights for marketing, sales, and customer support teams. The system incorporates automated customer segmentation, intelligent campaign management, and explainable prediction modules that provide interpretable decision support. A continuous learning mechanism enables the predictive model to adapt to changing customer behavior without manual intervention. The proposed invention improves customer satisfaction, increases retention rates, optimizes marketing investments, and enhances organizational revenue through data-driven customer relationship management.

Disclaimer: Curated by HT Syndication.