Predictive Maintenance
Saves costs and time by predicting potential failures by analyzing real-time data collected from sensors.
CHALLENGE
Taking an old-fashioned approach to maintenance might set you up with many unnecessary costs. Machines, facilities, vehicles and drivers might become unavailable at times when you need them the most, costing you valuable time and decreasing customer satisfaction.
SOLUTION
By processing many types and sources of data in machine learning algorithms, your maintenance system could easily predict future breakdowns or required maintenance at the time it's needed to reduce costs and decrease business downtime.
Targeted monitoring alerts, failure prediction and optimized preventive maintenance schedules based on historical and real-time data.
Detailed reports on remaining useful lifetime of the asset and root cause analysis of failures
VALUE
Increased asset lifetime
Increased core business stability
Increased accuracy of delivery times
Reduced maintenance costs
Reduced unexpected costs
Reduced downtimes
Improved sustainability
Improved team morale
Improved customer satisfaction & brand reputation