MUMBAI, India, Oct. 26 -- Intellectual Property India has published a patent application (202641123897 A) filed by Mr. K. Naupal Reddy; Mr. Sudheer Aloori; and Mr. Raju Rathipelli on October 15, 2026, for Ai-Driven Predictive Consumer Behaviour And Personalized Marketing Decision Support System Using Real-Time Customer Analytics.
Inventors include Mr. K. Naupal Reddy; Mr. Sudheer Aloori; and Mr. Raju Rathipelli.
The application for the patent was published on October 23, 2026, under issue no. 43/2026.
Abstract: The invention relates to a computer-implemented system for predictive customer analytics using real-time interaction events. The system comprises event ingestion, event validation, customer identity resolution, temporal feature generation, versioned customer-state management, artificial intelligence inference, prediction reliability assessment, decision-support generation, and feedback monitoring modules. Accepted customer events are transformed into behavioural features and associated with versioned customer-state records. A material-change mechanism determines whether a new inference operation is required, while prediction records retain model- version, state-version, and validity information. Generated predictions are evaluated using configurable confidence, data-completeness, freshness, and model-health indicators. Eligible predictions are used to generate decision-support outputs subject to operational constraints. Subsequent outcomes are associated with prediction records to support performance evaluation, drift monitoring, and controlled model maintenance. The system provides an integrated architecture for managing event consistency, selective prediction updating, and traceable decision support in customer analytics environments.
Disclaimer: Curated by HT Syndication.
