First Steps
The serviceAssist app is available as a Classic and Advanced license.
| Classic | Advanced | |
|---|---|---|
| Maintenance overview | ✓ | ✓ |
| Remote diagnostics history | ✓ | ✓ |
| Spare parts history | ✓ | ✓ |
| Machine documentation | ✓ | ✓ |
| Proposed solutions | ✓ |
Machine overview
All machines registered in tapio are displayed in the machine overview. You can access machine-specific features by clicking on the machine and cross-machine features via the menu on the right.
Machine Documentation
The app always provides the latest documentation for all machines registered in tapio.
Diagnostics history
The Diagnostics history area provides an overview of all service accesses that have taken place in the past.
Spare parts history
In the spare parts history area, all orders including details are listed. You can filter by machine number or time period to identify details that have already been ordered and, if necessary, order them again directly via the "eShop" button.
Maintenance overview
In the maintenance overview you get an overview of all maintenance of your machines connected to tapio and you can view the details per machine including the maintenance instructions.
Always keep an eye on upcoming maintenance across all machines. By clicking on one of the machines, you can display the maintenance details of the machine.
In the maintenance details you can see the individual maintenance of the machine and access the maintenance instructions by clicking on the maintenance.
In the maintenance details you can see the individual maintenance of the machine and access the maintenance instructions by clicking on the maintenance.
Suggested solutions
With the serviceAssist app, we offer our customers help to help themselves and thus the possibility to prevent machine malfunctions in many cases or to remedy them themselves. As soon as serviceAssist detects unusual changes to the machine or a malfunction occurs, it searches for solutions. If a solution is found, it is displayed in the app with information on the implementation time and probability of success. For this purpose, the app draws on a large pool of experience and information.
