Know when your machine needs maintenance
The dream of every service manager is to know when the machine requires maintenance. This gives him the opportunity to order spare parts in time, conducting maintenance safe and quick without having an oversized service infrastructure. We help you get there!
Conduct maintenance on time
The AI models will inform you in time when spare parts need to be ordered to conduct maintenance in time.
Never change a running system
Use the full lifetime of all the components which age in your machine. This result in higher capacity of your service team.
Avoid unexpectancies and shorten downtime
Unexpected downtime is expensive. Thanks to predictive maintenance it is possible to plan swift maintenance.
Collect and store tacit knowledge
It's challenging to maintain the knowledge of your service expert. Predictive maintenance lets you store it.
Your journey to predictive maintenance is as unique as your machines. Therefore, we support you in four simple steps to get there.
Most often the gap between the current maintenance process and predictive maintenance is large. We help you to take a step back and take a picture of the Status Quo and estimate the potential savings. We do that by identifying the ageing components and calculating the internal and external cost of the current maintenance procedure.
Only knowing the potential savings doesn't offer the whole picture. During the feasibility study, the technical challenges are identified and the business case with its ROI is calculated. At this step, we also perform the first data-related analytics to verify the feasibility of the project.
Proof of Concept
This step is used to verify the technical study and lower the risk at a later full rollout over the fleet. The earlier challenges can be detected the lower the cost later on. The PoC is executed over a small fleet of machines and lets all stakeholders experience the added value of predictive maintenance with Amplo's Smart Maintenance Platform.
Roll-out and Integration
A successful PoC gives the green light to roll out the new service scheme over the full fleet. This is a challenging task and Amplo fully supports you in that process step to make the adaption of predictive maintenance as smooth as possible. Important factors are the education of your service department and the technical integration into your IT System.