The client aimed to predict equipment failures before they occurred. We deployed a predictive analytics framework integrating IoT, ERP, and maintenance data for intelligent decision-making.
Unplanned equipment downtime and high maintenance costs impacted reliability and performance.
Solution
Connected IoT sensors with ERP and maintenance systems.
Deployed models to detect anomaly and failure prediction.
Visualized performance, efficiency, and cost trends.
Trained staff on data insights and action tracking.
Results
30% reduction in downtime
Real-time operational
intelligence across engineering
teams
$5.2M annual savings in
maintenance costs