Precise maintenance forecast through
By implementing Caduceus and connecting all robots in the warehouse to the system, all event-based data can be sent to the server. With Caduceus, KPIs that are of interest to the company can be calculated and displayed in automatically generated dashboards or sent via notifications. For example, the number of errors that occur in a warehouse at a specific point in time or during a specific period of time.
However, Caduceus can do more than just generate reports: it monitors in real time and notifies users when it detects a certain pattern, and very accurately predicts when maintenance is required. The application was installed on the computers completely remotely. Dashboards were generated automatically, which saves a lot of time.
Reduce support costs, increase customer satisfaction.
The solution turned out to be groundbreaking. Previously, our customer received a report every 24 hours, which made it very difficult to find out if something was wrong with a machine. Instead of having to read reports retrospectively and then analyze them, those responsible for maintenance receive a notification informing them of what has happened – via SMS, email or even an (automated) phone call – and can take immediate action .
With Caduceus, our customer has both quickly aggregated reports and real-time visualizations of every machine at hand. Not only do they have random statistics, but they also have a complete view of all robots so they can quickly compare machine performance. When a customer called early to report a problem, it was difficult to know when and where it arose and if it was an isolated incident or if further action was needed.
Thanks to Caduceus, the company is now always in control and can predict maintenance before it is needed. And if problems arise, you can react quickly and precisely.