Predictive maintenance with AI and IoT

Production line stoppages caused by rotating equipment failures or breakdowns resulted in immeasurable losses. Maintenance was preventive (based on operating time), with no ability to predict when or which machine would fail and halt production.

We structured partner selection and deployment of IoT, Machine Learning, and AI monitoring systems (Tebe and Semeq), enabling real-time equipment monitoring, alerts for potential failures, and insights for prescriptive maintenance. Intervention decisions are now made before breakdowns, not after.