Technical
Predictive Maintenance of Industrial Equipment with IoT + AI
AI that predicts breakdowns before they happen for proactive maintenance
Problem
Current situation
Unanticipated machine failures cost €150k/year (production stoppages, emergency repairs). Systematic preventive maintenance ineffective and costly.
8 unanticipated breakdowns/year
Production stoppages: €150k/year lost
Too-frequent preventive maintenance
Emergency spare parts (3x the price)
Solution
How AI solves the problem
IoT sensors on equipment + AI that analyses vibrations, temperature and sounds to detect anomalies and predict breakdowns 15-30 days in advance. Optimal maintenance scheduling.
Real-time equipment monitoring
Early anomaly detection
Breakdown prediction 15-30 days in advance
Maintenance schedule optimisation
Automatic technician alerts
FAQ
Frequently asked questions
Implementation time?
Between 1 and 8 weeks depending on your infrastructure.
What ROI to expect?
Positive ROI within 3-6 months thanks to operational savings.
For what company size?
Large enterprises, SMEs. Solution adapted to your scale.
Impact
Measurable results
Unforeseen breakdowns
Before8/an
After< 1/an
-88%
Production stoppages
Before150k€/an
After20k€/an
-87%
Maintenance cost
Before80k€/an
After50k€/an
-38%
Machine lifespan
Before8 ans
After12 ans
+50%