

Service intervals depend on how much a machine runs. Without remote readings, the team had to visit each machine to know when maintenance was due.
The old process made it hard to plan ahead. Paper records could go missing, rented machines returned with unexplained wear, and too much operational knowledge lived with one person. The team needed a shared picture of the fleet.




We connected the hardware partner’s devices to a platform that collects operating hours and location data. The service team can see usage without checking each machine in person.
Devices store readings when the mobile signal drops and send them when the connection returns. We built validation and retry handling around that flow, with problematic records sent for review rather than silently lost.



The platform uses operating hours to calculate service intervals and generate tasks. Managers can plan the work and give technicians a clear itinerary.
Task progress, attendance, and service records connect in the same workflow. That gives the team a shared history for each machine and helps keep planning out of scattered messages and paper files.



The service manager needed a useful daily tool. We worked with the client and hardware partner to connect machine readings with the decisions and tasks that follow.
We tested the device connection alongside early interface designs, then refined the platform with the client. The same product direction carried through the web platform, machine display app, and supporting launch materials.

On supported hardware, drivers identify themselves through the machine’s display. The application then enables access, connecting the operator to the equipment they use.
We built the display app to stay in kiosk mode, keeping drivers within the intended controls. The connected hardware supports access restrictions and remote disabling, while additional sensors provide more information about machine use.



