CASE STUDY How a Leading Automaker Saved $32M by Predicting Failures Before They Happen

Six Plants. $32M Saved.

Learn how this global OEM scaled predictive maintenance and built a data-driven culture of reliability.

Case Study at a Glance:

  • $32.5M in documented savings from avoided downtime
  • 990% ROI through smarter maintenance and faster fault detection
  • 3,200+ sensors across six plants, expanding to new sites company-wide
  • AI + human collaboration enabling continuous monitoring and prescriptive insights
  • Improved reliability culture with more predictable maintenance planning

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Discover how the Waites solution prevents failures and delivers results for maintenance teams across the globe.