Predictive Maintenance AI Agent for FMCG Manufacturing

Challenge

Unplanned equipment downtime was causing significant production losses. The client relied on a reactive maintenance approach with no data-driven prediction capabilities.

Our approach

We built a predictive maintenance system using sensor data from production lines. The solution combines time-series anomaly detection with failure pattern recognition and automated maintenance scheduling. A dashboard for operations teams provides risk scoring and recommended actions for each piece of equipment.