Case Study: KONE achieves smarter predictive maintenance with Solita

KONE reduces repair call outs by 40% with Solita

KONE, a global leader in elevators, escalators, and building maintenance, faced the challenge of making its traditional, time-consuming maintenance model for millions of units more efficient and predictive. They partnered with Solita to enhance their intelligent maintenance service, KONE 24/7 Connected Services, using advanced analytics and data science to move from reactive repairs to proactive predictions.

Solita collaborated with KONE to develop cloud and edge analytics, creating tailored algorithms and machine learning models that analyze real-time sensor data from elevators to predict faults before they occur. This solution enabled KONE to proactively identify 70% of faults, reduce repair call-outs by 40%, and cut elevator entrapments by 50%, leading to safer, more reliable service and significant cost savings.

KONE