AI Predictive Maintenance & Asset Monitoring

IoT-enabled predictive maintenance that monitors equipment health in real time, predicts failures before they happen, and optimizes maintenance schedules to reduce downtime.

• IoT sensor data ingestion & real-time monitoring
• ML-based remaining useful life (RUL) prediction
• Anomaly detection for early fault signatures
• Automated maintenance scheduling & work order generation
• Fleet-wide asset health dashboards
• Integration with CMMS, SAP, and ERP systems

• Reduce unplanned downtime by 40-60%
• Extend equipment lifespan by 20-30%
• Cut maintenance costs by 25% through optimization
• Eliminate expensive emergency repairs