30% reduction
in unplanned machine downtime
22% decrease
in annual maintenance costs
3x faster
maintenance order generation and execution
The Challenge: Costly Downtime and Inefficient Maintenance Planning
A large industrial manufacturer faced frequent unplanned equipment failures, resulting in production delays, expensive emergency repairs, and operational inefficiencies. Their existing reactive maintenance model couldn’t keep up with increasing machine complexity and production demands.
Despite installing IoT sensors to collect real-time data on temperature, vibration, and pressure, the company lacked integration with SAP ERP to act on this data intelligently.
The Solution: SAP-Powered Predictive Maintenance Engine by Datafy Inc.
Datafy Inc. implemented a solution that connected IoT sensor platforms with SAP’s Plant Maintenance (PM) module using BAPIs to automate predictive maintenance workflows.
Key actions included:
The Results:
Downtime Eliminated; Uptime Maximized
The integrated solution transformed the client’s maintenance strategy:
- Maintenance tasks were triggered before failures occurred.
- Equipment uptime improved, while costly emergency repairs
dropped significantly. - SAP became a central hub for real-time equipment health monitoring and proactive maintenance planning.
