MUMBAI, India, Sept. 28 -- Intellectual Property India has published a patent application (202641113499 A) filed by Anurag University on September 22, 2026, for An Ai-Driven Customer Retention System.
Inventors include Dr. V. Vijaya Kumar; Dr. G. Vishnu Murthy; Dr. V. Amarnadh; Mr. M. Sagar; Mr. Rajasekhar Gorthi; Mr. T. Kanakaiah; Mrs. V. Jyothi; and Dr. G. Balram.
The application for the patent was published on September 25, 2026, under issue no. 39/2026.
Abstract: ABSTRACT The present invention relates to an AI-driven customer retention system (100) for identifying customers at risk of churn and generating personalized retention interventions. The system comprises a data acquisition unit (102), a data preprocessing unit (104), a principal component analysis unit (106), a customer segmentation unit (108), a segment-specific prediction unit (110), a classification unit (112), a rule-based recommendation engine (114), and an output interface (116). Customer-related data is standardized using robust scaler and processed through Principal Component Analysis (PCA), followed by K-Means clustering to generate customer segments. A Hybrid Bidirectional Long Short-Term Memory (BiLSTM)-Convolutional Neural Network (CNN) architecture determines churn probability using customer features including tenure, usage frequency, support calls, and payment delay. Customers identified as at-risk are processed by JSON-configured rules to generate personalized retention recommendations including digital discount coupons. The system is deployed through an interactive streamlit application for customer segmentation, churn prediction, visualization, and retention decision support. The figure associated with the abstract is Fig. 1.
Disclaimer: Curated by HT Syndication.
