How a global automotive manufacturer reduced downtime and improved OEE with predictive maintenance

Scaling predictive maintenance from pilot to operation requires proven results. This case study shows how a global automotive manufacturer applied predictive maintenance across multiple production sites to reduce downtime and improve operational performance.

With more than 10,000 machines monitored across diverse equipment types, the organization identified issues months in advance, reduced unnecessary maintenance activity, and enabled teams to act earlier with confidence.

The result was measurable impact at scale – including tens of millions in downtime savings, ROI in less than three months, and sustained improvements in OEE across global operations.