Monitor equipment performance with real-time data from sensors. Predict maintenance needs using machine learning models. Receive alerts for anomalies and schedule repairs. Track asset health metrics and generate maintenance reports.
Manage facility operations by aggregating data from multiple sources. Access real-time equipment status and maintenance history. Search for institutional knowledge and support decision-making with AI-driven insights.
Manage lubrication routes, perform daily inspections, and conduct top-ups offline. Submit completed routes for tracking and compliance. Access scheduling and task management through a web platform. Monitor equipment condition and maintenance history.
