Predictive maintenance, supply chain optimization, quality control, and IoT analytics for smart manufacturing.
Predictive maintenance using IoT sensor data to prevent costly equipment failures.
End-to-end supply chain transparency with real-time tracking and forecasting.
Real-time quality monitoring and automated defect detection using AI/ML.
ML-powered equipment health monitoring with failure prediction and automated maintenance scheduling.
Integrated platform for supplier management, inventory optimization, and logistics tracking.
AI-powered quality control with automated defect detection and continuous improvement tracking.
Real-time production monitoring, OEE tracking, and capacity planning analytics.
Challenge: Global manufacturer faced frequent equipment breakdowns, quality issues, and supply chain disruptions across 12 facilities.
Solution: Implemented Microsoft Fabric with IoT integration, predictive maintenance models, and unified supply chain visibility platform.
Results: