Schneider Electric offers AI-powered predictive maintenance services under its EcoCare brand and EcoStruxure platform, which monitor sensor data from industrial equipment and electrical assets to detect early signs of failure and recommend maintenance actions before breakdowns occur. These services are available to industrial and data center customers globally.

The EcoCare services use machine learning models trained on IoT sensor data—including vibration, temperature, and power readings—to detect anomalies and predict equipment failures in assets such as motors, pumps, circuit breakers, and data center power and cooling systems. The system shifts customers from calendar-based maintenance schedules to condition-based, predictive maintenance. One confirmed deployment with Compass Datacenters resulted in a 40% reduction in on-site maintenance interventions and a 20% reduction in operating expenses. Schneider Electric's own factories also use this approach; a deployment at its Plovdiv, Bulgaria facility used AI anomaly detection on laser machines to eliminate unplanned downtime.