The Machine-Learning-based predictive models, operated in the Microsoft Azure cloud, have been improving based on data that has been collected since 2015. As a result, thyssenkrupp is confident that MAX can reduce elevator downtime by up to 50 per cent, making its predictive models second to none in the global elevator industry. Up to now, MAX has already helped to maximize elevator uptime for over 40,000 customers.
Andreas Schierenbeck, CEO of thyssenkrupp Elevator, commented: "This is a significant moment for our business, and for cities as a whole. Population growth and urbanization are putting the infrastructure within our buildings under more pressure than ever before. Data really is the key to truly understanding the challenges our buildings face and developing solutions to improve them for both property managers and users alike."
The system also now features a new enhanced customer service portal currently being rolled out in Spain. The portal grants building managers access to important real-time information about their elevators’ performance, allowing them to facilitate more timely and effective repair work with thyssenkrupp’s maintenance engineers.
Sam George, Director Azure IoT, at Microsoft added: "MAX is a perfect example of digitalization in action; developing and applying technology to a very specific industry issue to drive real business value. The MAX model has evolved over the last three years in line with customer and company needs. We’re delighted with its success to-date and the tangible business benefits. We look forward to working closely with thyssenkrupp on its continued evolution and growth."
Schierenbeck further commented: "Since the first launch of MAX in 2015, the platform has gone from strength to strength. At a macro level this is about data-led technology aiding city efficiency and growth. At a micro level, it’s getting us more seamlessly from A to B and making people’s daily lives easier. We’re looking forward to introducing MAX to the Latin American market and, with the potential to reduce downtime by up to 50%, we hope it can continue to support sustainable growth and evolution in our cities for years to come."