Intellectual Property India Publishes Patent Application for System And Method For Ai Based Intelligent Decision Support For Enterprise Resource Planning Management

MUMBAI, India, Nov. 2 -- Intellectual Property India has published a patent application (202611110022 A) filed by Mathu K; Dr. Swati Mishra; Prof. Sreelatha M; Dr. S. Oviya; Dr Bhuvaneswari E; Mrs. P. R. Madhu Shree; Dr. Swathi P K; Rekha Gupta; Prof. Bhavani B S; and Shilpa S Shah on September 14, 2026, for System And Method For Ai Based Intelligent Decision Support For Enterprise Resource Planning Management.

Inventors include Mathu K; Dr. Swati Mishra; Prof. Sreelatha M; Dr. S. Oviya; Dr Bhuvaneswari E; Mrs. P. R. Madhu Shree; Dr. Swathi P K; Rekha Gupta; Prof. Bhavani B S; and Shilpa S Shah.

The application for the patent was published on October 30, 2026, under issue no. 44/2026.

Abstract: The present invention discloses a system and method for AI based intelligent decision support for enterprise resource planning management. The system integrates data from multiple ERP modules, including finance, procurement, inventory, manufacturing, logistics, customer relationship management, and human resources. A data integration layer collects, validates, and consolidates enterprise information into a unified repository for analysis. An artificial intelligence analytics engine applies machine learning, predictive modeling, trend analysis, and anomaly detection techniques to evaluate operational conditions and forecast business outcomes. A contextual reasoning module assesses organizational objectives, business constraints, and historical records to generate relevant recommendations. The system further includes a recommendation generation engine that produces optimized decision alternatives for resource allocation, procurement planning, inventory management, and operational scheduling. A feedback learning module continuously refines analytical models based on implementation outcomes. The invention enhances enterprise decision-making by improving operational efficiency, risk assessment, resource utilization, and strategic planning through intelligent and adaptive ERP management support.

Disclaimer: Curated by HT Syndication.