Intellectual Property India Publishes Patent Application for An Ai Driven Market Intelligence System For Customer Review Analysis Competitive Benchmarking And Decision Support Using Persona Modeling And Predictive Strategy Simulation

MUMBAI, India, June 26 -- Intellectual Property India has published a patent application (202641050775 A) filed by The Principal, Sns College Of Technology on April 21, 2026, for An Ai Driven Market Intelligence System For Customer Review Analysis Competitive Benchmarking And Decision Support Using Persona Modeling And Predictive Strategy Simulation.

Inventors include Jagadeesh B; Rohini R; Sudharsanraja S S; Thirshya Nivetha N J; Vijayaragahvan T; and Dr. Tharankumar.

The application for the patent was published on June 19, 2026, under issue no. 25/2026.

Abstract: ABSTRACT: The present invention discloses PRISM Al, an artificial intelligence-based market intelligence system that autonomously analyzes customer reviews, generates humancentric personas, performs competitive benchmarking, and provides predictive decision support through a unified web-based platform. The system integrates structured data ingestion and preprocessing with a sentiment analysis engine that classifies customer feedback and a topic extraction module that identifies recurring patterns and key issues within large-scale review datasets. A Persona Generation Module and Customer Segmentation Engine convert raw feedback into meaningful customer profiles, enabling organizations to understand user behavior, preferences, and pain points at a granular level. A Competitive Benchmarking Engine evaluates multiple entities by comparing sentiment distribution and topic frequency, while a Strategy Simulation Engine enables users to input hypothetical business scenarios and predict their impact using a Churn Risk Prediction Module. A Recommendation Engine generates actionable insights to optimize business strategies based on predictive outcomes, and a Visualization Dashboard presents results through interactive charts and comparative metrics for intuitive interpretation. The system further incorporates a Data Logging and Learning Module that continuously refines analytical accuracy through adaptive learning from historical data and user interactions. PRISM Al therefore provides a unified intelligent platform that transforms unstructured customer feedback into actionable insights, enabling organizations to make accurate, data-driven decisions across dynamic and competitive business environments.

Disclaimer: Curated by HT Syndication.