Case Study: ThyssenKrupp Elevator achieves higher uptime and predictive maintenance with Microsoft Azure

ThyssenKrupp Elevator - Customer Case Study

ThyssenKrupp Elevator, a leading global provider of elevators, sought to improve its competitive advantage by increasing elevator reliability and uptime for its 1.1 million machines worldwide. Their challenge was to move beyond preventative maintenance to a more predictive model to guarantee higher uptime percentages. They partnered with Microsoft and its partner CGI, utilizing Microsoft Azure, Azure IoT Hub, and Power BI.

The Microsoft solution created a cloud-based, intelligent monitoring system that connects elevator sensor data to the cloud via Azure. Using Azure Machine Learning for predictive analytics, the system provides real-time diagnostics and acts as a "virtual troubleshooter" for technicians. This resulted in dramatically increased elevator uptime, greater operational efficiency, reduced costs for ThyssenKrupp, and the creation of a new competitive edge and revenue opportunities for their maintenance business.

ThyssenKrupp Elevator

Rory Smith

Director of Strategic Development for the Americas