MUMBAI, India, Oct. 5 -- Intellectual Property India has published a patent application (202641115633 A) filed by Dr. K. Manoharan on September 26, 2026, for Ai Enabled Intelligent Automation System For Organizational Resource Management And Optimization.
Inventors include Prof Narayan Malakar; Mr. Aneesh M G; Dr. Vinodh M R; Dr. Adoney T. John; Dr Manoharan K; Dr Rahul M. Bhandari; Mr. G Praveen Kumar; Dr. Geetha Manoharan M; Dr S Vijayakumar; Mr. Gourve; Dr K Rajesh Kumar; and Dr. T. Durga Prasad.
The application for the patent was published on October 02, 2026, under issue no. 40/2026.
Abstract: The present invention relates to an AI Enabled Intelligent Automation System for Organizational Resource Management and Optimization configured to intelligently manage and optimize organizational resources using artificial intelligence, machine learning, predictive analytics, and automated decision-making. The system comprises a data acquisition module, data preprocessing module, organizational data repository, AI/ML analytics engine, resource intelligence module, demand prediction module, resource optimization engine, intelligent automation module, monitoring and feedback module, alert module, and user interface. The system acquires historical and real-time organizational data relating to human resources, equipment, infrastructure, workload, tasks, schedules, utilization, availability, and operational requirements. The AI/ML analytics engine analyzes the data to identify resource utilization patterns and operational conditions, while the demand prediction module predicts future resource requirements. The optimization engine determines suitable resource allocation strategies based on availability, workload, skills, capacity, priorities, deadlines, costs, and organizational constraints. The intelligent automation module generates recommendations and/or executes authorized actions, while the monitoring and feedback module evaluates actual outcomes and provides feedback for continuous improvement. The invention provides an integrated and scalable approach for improving resource utilization, reducing operational inefficiencies, minimizing resource wastage, and supporting intelligent organizational decision-making.
Disclaimer: Curated by HT Syndication.
