Case Study: WIKA achieves predictive maintenance and reduced downtime with Cumulocity

WIKA prevents €80,000-an-hour downtime with Cumulocity

WIKA, a global leader in industrial measurement technology, faced challenges with manual equipment inspections that were resource-intensive and offered limited visibility into asset health. They needed a scalable IIoT platform to integrate predictive maintenance into diverse customer environments and efficiently analyze sensor data to prevent costly, unplanned breakdowns. They turned to the Cumulocity IoT platform to develop a solution.

Using Cumulocity, WIKA built its Vibration Manager, a smart sensor system that uses machine learning to analyze data for early fault detection. The solution enabled predictive maintenance at scale, preventing failures that could cost over €80,000 per hour in downtime and saving customers hundreds of thousands of euros. The Cumulocity platform provided the flexible, cloud-agnostic foundation that allowed WIKA to focus on innovation and offer tailored solutions that enhanced customer value.

WIKA