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

The Internet of Things gives the world’s cities a major lift

ThyssenKrupp Elevator, a global leader with some 1.1 million machines in 150 countries, faced growing urban demand and needed to improve elevator reliability and uptime to stay competitive. The company aimed to move beyond standard preventative maintenance toward predictive and preemptive maintenance to guarantee higher availability for high‑capacity, high‑rise buildings.

Partnering with CGI and Microsoft, ThyssenKrupp connected elevator sensors to Azure Intelligent Systems Service, used Power BI for real‑time dashboards, and applied Azure Machine Learning to create a “virtual troubleshooter” that diagnoses likely causes and supports remote diagnostics. The solution cut technician travel and repair time, lowered operating costs, increased elevator uptime, and can be extended across multiple makes and models to expand maintenance services and revenue.

Thyssenkrupp

Rory Smith

Director of Strategic Development for the Americas