The Finnish company KONE is working on networking the 1.2 million systems that it services to unleash entirely new potential for optimizing maintenance operations. The Salesforce Einstein AI system provides KONE service engineers with a better insight into the current status information of the systems concerned. What's more, they are also sent the geographic coordinates to help plan their work schedule so as to minimize travel and response times, get systems up and running again faster and cut costs.
KONE started linking elevators to IBM’s Watson AI platform back in 2017 to implement predictive maintenance as a means of increasing reliability and availability. Sensors constantly report the linked elevators’ status information so the Watson IoT can identify faults as they arise and predict emerging problems, alerting KONE of the diagnosis and recommending how to resolve faults. This ensures that the service engineers know in advance what to look for and can even take along any required spare parts from the word go. Not only do the elevator operators benefit from the greater reliability and availability of their systems, but all service and status information can be accessed online, thus providing greater transparency. Watson's inventors are on hand at CEBIT to explain how their AI brainchild keeps on learning day in, day out. After all, the more systems that are linked to the cloud throughout the world - in Germany alone, this applies to more than 450 elevators and escalators - and the more reports that are logged in the cloud on remedied faults and the maintenance performed by service engineers, the more accurately Watson will be able to make recommendations in the future.