MUMBAI, India, Feb. 13 -- Intellectual Property India has published a patent application (202641008786 A) filed by Ms. P. Devaghi; and Dr. S. Sudha, Chennai, Tamil Nadu, on Jan. 28, for 'a computer-implemented system and method for intent-based customer segmentation using generative cognitive latent modeling.'
Inventor(s) include Ms. P. Devaghi; and Dr. S. Sudha.
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: "A computer-implemented system and method for intent-based customer segmentation using generative cognitive latent modeling is disclosed. The system ingests structured and unstructured data from multiple sources, including transactional records, digital interactions, and communication channels, and preprocesses the data to generate unified feature representations. A generative cognitive latent modeling engine learns latent intent variables that represent underlying customer motivations, preferences, and behavioral propensities by capturing temporal, contextual, and cross-channel relationships. The inferred latent representations are utilized by a dynamic segmentation module to form and continuously update adaptive customer segments in real time. The system further provides an explainability interface that generates human-interpretable insights into inferred intent drivers and segmentation decisions, supporting transparency and regulatory compliance. The invention is deployable within distributed and cloud-based computing environments to enable scalable, low-latency processing. Integration interfaces allow the generated intent-based segments and predictive insights to be utilized by external enterprise systems for personalized engagement, automated decision-making, and strategic business intelligence across multiple industry domains."
Disclaimer: Curated by HT Syndication.
