MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202641085088 A) filed by Dr. Leelavathi H P; Dr. Jyothilakshmi P; Dr. Shridhar Kabbur; Dr. Shruthi N; Dr. Jamuna M; Kruthik Chand D C; Kusuma H R; Dhanushree Bl; Kavya M; and Apeksha Deshpande on July 11, 2026, for Artificial Intelligence Based Iot-Driven Market Segmentation And Targeting System And Method Thereof.
Inventors include Dr. Leelavathi H P; Dr. Jyothilakshmi P; Dr. Shridhar Kabbur; Dr. Shruthi N; Dr. Jamuna M; Kruthik Chand D C; Kusuma H R; Dhanushree Bl; Kavya M; and Apeksha Deshpande.
The application for the patent was published on July 17, 2026, under issue no. 29/2026.
Abstract: The present invention discloses an Artificial Intelligence based Internet of Things driven Market Segmentation and Targeting System and Method thereof. The system comprises a plurality of Internet of Things sensing devices configured to acquire consumer interaction data from one or more commercial environments, one or more communication gateways for receiving and forwarding the acquired data, an edge processing device configured to normalize, synchronize, verify, filter, and extract behavioral feature data from heterogeneous sensor information, and an analytics server comprising a behavioral data processing unit, a consumer profile generation unit, a contextual correlation unit, a market segmentation unit, a predictive targeting unit, a recommendation generation unit, an adaptive learning unit, and a campaign optimization unit. The analytics server aggregates behavioral feature data to generate multidimensional consumer profiles, correlates the consumer profiles with contextual information, engagement characteristics, and generates personalized targeting instructions for transmission to enterprise computing systems.
Disclaimer: Curated by HT Syndication.
