AI-Driven Insights for Manufacturing
Client: Manufacturing Leader
01The Challenge
Unplanned downtime on critical production lines was costing the company upwards of €50k per hour. Preventive maintenance schedules were inefficient and often resulted in unnecessary parts replacement.
02The Solution
We deployed IoT sensors and trained a custom Machine Learning model on historical vibration and temperature data. The system now predicts component failure with 92% accuracy, alerting technicians 48 hours in advance.
03Key Results
18% increase in overall equipment effectiveness (OEE)
Maintenance costs dropped by 22% in Q1
Shift from reactive to predictive maintenance culture
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