The system collects real-time sensor data from manufacturing equipment, including temperature, vibration, and energy consumption.

Machine learning models process the data to identify patterns indicative of impending equipment failures.

AI algorithms predict potential failure scenarios and recommend proactive maintenance actions to prevent downtime.

The system provides maintenance technicians with prioritized maintenance schedules and actionable insights to optimize equipment performance.