MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202641063741 A) filed by Sr University, Warangal, Telangana, on May 20, for 'ai-based predictive sustainability and performance management system using multi-source business intelligence analytics.'
Inventor(s) include Dr. Ankur Saxena; and Prof. Gurunadham Goli.
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 provides a system and method for AI-driven predictive sustainability and performance management using digital twin based multi-source intelligence and self-optimizing control architecture. The system collects heterogeneous data from enterprise systems, IoT sensors, environmental sources and supply chain networks and performs data preprocessing with the aid of semantic harmonization and temporal alignment techniques. A dynamic digital twin model is developed to reflect the real-time operational, environmental and financial conditions of an enterprise. It uses causal inference and predictive analytics to identify relationships between variables and predict sustainability outcomes. Distributed model training without compromising data privacy is enabled by the federated learning framework. An adaptive control signal is produced by a control engine based on reinforcement learning for real-time optimization of operational parameters. It also offers explainable insights, regulatory compliance outputs and secure data processing. The invention enables autonomous closed-loop sustainability optimization increasing efficiency, scalability and environmental performance."
Disclaimer: Curated by HT Syndication.
