30%
A 30% drop in unplanned downtime
7x
Maintenance teams can respond 7x faster
83%
Up to 83% faster service resolution
100%
ISO & GDPR compliant AI consultancy
AI for Predictive Maintenance Increases Work Productivity
AI for predictive maintenance uses algorithms and machine learning to analyze data from equipment and predict failures before they occur. By identifying potential issues early, it allows for timely repairs and maintenance, reducing downtime and operational costs. This approach ensures your machinery and systems operate more efficiently and reliably, ultimately increasing work productivity.
What are the Benefits of AI Based Predictive Maintenance?
Our custom-made AI in predictive maintenance solutions are carefully developed to align with your specific goals and objectives, guaranteeing you achieve optimal results.
- Future forecasting: Understanding your assets’ current and future performance allows you to make accurate decisions to maintain optimal machinery operation.
- 75% less time spent on site: Using AI, predictive maintenance models provide real-time insights into your asset’s status, enabling maintenance teams to stay informed and reduce manual monitoring efforts.
- Increased asset utilization: Minimizing unplanned downtime increases your asset’s uptime and ensures maximum utilization.
- Improved asset lifetime: Regular and timely maintenance can reduce your equipment stoppage by up to 30% and extend your asset lifespan by up to 40%.
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How AI for Predictive Maintenance Works
Machine learning models are trained to create accurate predictions about your assets’ future performance. Enabling your workforce to schedule maintenance only when it’s necessary.
Gathering Information
First, we collect real-time information from your machinery through sensors and logs to gain an understanding of their condition.
Understanding the Data
Next, we analyze this information with sophisticated machine learning models to spot any unusual patterns or signs that something might go wrong.
Making Predictions
By comparing this data to past records, the system forecasts potential issues before they happen, alerting you on when maintenance is needed.
Planning Ahead
Finally, based on these insights, you can schedule maintenance at the best possible time, preventing unexpected breakdowns and keeping operations running smoothly.
“Our machinery operates flawlessly, and the maintenance team is very satisfied with our proactive approach to monitoring and informing them about the machine status.”
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Enhance your factory’s efficiency with AI in predictive maintenance
to prevent unexpected downtime and optimize asset use.
to prevent unexpected downtime and optimize asset use.
