Reactive MRO procurement creates costly downtime and bloated inventory. A custom workflow automates this by ingesting real-time equipment telemetry from IoT sensors and SCADA systems. AI agents analyze this data against digital twin models and historical failure rates to predict part consumption. This triggers autonomous purchase requests only when needed, eliminating unplanned downtime and reducing carrying costs by 15-30% through just-in-time inventory optimization integrated with CMMS like SAP PM or Maximo.




