Technicians use to diagnose equipment issues and perform maintenance. The provides equipment health insights based on historical and operational data. It detects anomalies and offers data-driven analysis for maintenance planning.
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.
Allows users to capture and organize operational data through mobile forms. It provides real-time instructions to crews. GPS tracking logs job locations and costs. Data is synced with the Service Cloud for analysis and reporting.
