MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202621043431 A) filed by Dr. Ila Dixit; Dr. Jay Dewangan; Dr. Bhavna Prajapati; Dr. Chintamani Panda; Dr. Ahtesham Hussain; and Dr. Arijit Goswami, Raipur, Chhattisgarh, on April 5, for 'a system and method for ai-driven predictive analytics engine for cross-industry profit optimization using dynamic data fusion and adaptive decision modeling.'
Inventor(s) include Dr. Ila Dixit; Dr. Jay Dewangan; Dr. Bhavna Prajapati; Dr. Chintamani Panda; Dr. Ahtesham Hussain; and Dr. Arijit Goswami.
The application for the patent was published on May 29, under issue no. 22/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses a system and method for an artificial intelligence-driven predictive analytics engine configured to optimize profitability across multiple industry domains. The system integrates heterogeneous data sources including enterprise systems, IoT streams, and external market data through a data ingestion and fusion framework. A feature extraction module identifies key variables influencing profitability, which are processed by a hybrid predictive modeling engine employing machine learning, deep learning, and reinforcement learning techniques. The invention further incorporates a cross-industry learning mechanism to enable knowledge transfer across domains, thereby improving predictive accuracy and adaptability. An adaptive optimization module generates profit-maximizing strategies by considering multiple objectives including revenue, cost, risk, and resource utilization. A decision orchestration layer provides automated recommendations and scenario simulations, while a continuous feedback mechanism ensures real-time model refinement, thereby delivering scalable and intelligent profit optimization."
Disclaimer: Curated by HT Syndication.
