Streamlines service processes and spare parts management.
Developed in Germany · Hosted in the EU or on-premises
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Advisory and implementation for the public sector, starting with the AI readiness assessment.
The ticket comes from the hotline with the customer's description of the fault; the machine history sits in the service ticketing system, the parts stock in the ERP. Whoever schedules the job would need to bring the two together before the technician sets off. If not, the visit ends with a parts order and a second call-out.
The service manager sees the 21-day lead time at the point of scheduling, and that is where the 30% faster service turnaround comes from: the technician makes one trip, with the seal kit and pump head in the van.
The 30% faster service turnaround is this agent's headline figure. Three prior reports on one assembly and a 21-day lead time for one part describe an ordinary service case; they are not measurements.
For the reported machine, the agent finds the earlier service reports and the fault messages logged by the controller. It lists the visits to the same assembly by date.
Machine AB-4471, 3 visits to the dosing pump since 02/25From the earlier reports, the agent derives the parts likely to be needed and looks them up in the ERP. Missing parts are shown with their lead time.
2 parts earmarked, seal kit in stock, pump head with a 21-day lead timeThe agent combines ticket, history and parts list in one overview and notes what can be supplied from stock. The service manager schedules the job on that basis.
einsatzvorschlag_AB-4471.pdf, 2 parts, 1 open procurementIt shows the requirement and the lead time. Service scheduling places the order in the ERP.
It names the installation date, running time and the previous visits to the assembly. The after-sales manager settles warranty and goodwill.
For machine AB-4471, the state recorded in the service reports is what counts. If the dosing pump was swapped on site for a different make, the technician will find an assembly that does not match the job proposal, and records it in the file after the visit.
Connected systems
Operations
A pilot typically runs on your own data within 6 to 8 weeks. The agent connects to your existing systems rather than running as a separate, parallel environment.
EU cloud or private cloud. Processing is GDPR-compliant and models are never trained on your data. Details in the Trust Center.
It is based on experience from comparable projects and process benchmarks, not a commitment. We establish the realistic effect for your organisation in the assessment before the pilot.