MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202641061635 A) filed by Ramachandra Handaragal, Bengaluru, Karnataka, on May 15, for 'a system and method for predictive work order prioritization in enterprise asset management platforms.'
Inventor(s) include Ramachandra Handaragal.
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: "A system and method for predictive work order prioritization in enterprise asset management platforms utilize machine learning and real-time operational data to automate maintenance scheduling. The system comprises a data ingestion layer (110) for collecting asset performance metrics from IoT sensors (101, 103), historical maintenance records (112), and external contextual inputs (105, 106). A machine learning engine (120) predicts failure probabilities and business impacts via health probability (121) and impact model (122) layers. A dynamic prioritization algorithm continuously recalculates priority scores, causing a recalculation piston arm (132) to physically rearrange work order unit blocks (131) in a queue (130). An optimization engine (140) schedules activities based on geographical constraints and technician skills (142). A feedback mechanism (123) improves forecasting accuracy by comparing actual outcomes to predictions. The invention reduces unexpected failures and optimizes resource utilization."
Disclaimer: Curated by HT Syndication.
