This workflow ingests real-time telemetry from elevator controllers, door cycle counters, and vibration sensors to predict failures in components like motor bearings, door operators, and guide rails. By analyzing usage patterns and vibration signatures against historical failure data, the system identifies anomalies 7-14 days before a likely breakdown. This predictive capability reduces unplanned downtime by 30% and shifts maintenance from costly emergency callouts to scheduled, lower-cost interventions, directly improving asset uptime and tenant satisfaction while lowering annual service contract expenses.




