MUMBAI, India, Feb. 13 -- Intellectual Property India has published a patent application (202621000126 A) filed by Renu Verma; and Dr Sandhya Pandey, Dombivli, Maharashtra, on Jan. 1, for 'an artificial intelligence driven clustering framework for banking customer segmentation.'
Inventor(s) include Renu Verma; and Dr Sandhya Pandey.
The application for the patent was published on Feb. 13, under issue no. 07/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to an artificial intelligence driven clustering framework for banking customer segmentation that employs advanced machine learning algorithms to automatically classify bank customers into distinct segments based on their behavioral patterns, transactional history, and demographic attributes. The framework integrates multiple clustering techniques including K-means, hierarchical clustering, and density-based spatial clustering to identify optimal customer groupings. The system incorporates feature engineering modules that extract relevant characteristics from raw banking data, dimensionality reduction techniques to handle high-dimensional datasets, and validation mechanisms to ensure clustering quality. The framework enables banks to deliver personalized services, optimize marketing strategies, improve customer retention, and enhance risk management practices. The invention provides a scalable and adaptable solution that continuously learns from new data patterns, automatically updates customer segments, and generates actionable insights for banking institutions to improve operational efficiency and customer satisfaction."
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