The technician knows the part before the job.
The service agent evaluates past orders, manufacturer information and statistical analyses and recommends the right spare part to the technician. On-site effort drops and the frequently needed parts are at hand.
The problem
In service and maintenance the knowledge sits in old orders and in the heads of experienced technicians. Which part fits which fault often has to be figured out again. That leads to second trips, wrongly ordered parts and unnecessary effort.
How the agent works
- 1
Open up the data
The agent opens up your past orders, manufacturer information and maintenance histories as a searchable knowledge base.
- 2
Match the fault
For an order it matches the fault against comparable cases and recognises which parts were actually fitted there.
- 3
Recommend the part
Based on the statistics it recommends the likely matching spare part to the technician, including manufacturer details and alternatives.
- 4
Reduce the effort
The recommendation lands where the technician works, so fewer queries, missing parts and second trips occur.
The outcome
- The matching spare part known before the job
- Knowledge from old orders made usable
- Fewer wrong orders and second trips
- Less effort per service call
Frequently asked
It uses your existing orders, maintenance histories and manufacturer information. The more history available, the better the recommendation.
No. It recommends, the technician decides. Every recommendation is backed by the underlying cases.
Yes. Via tools the agent connects order and spare-part systems and delivers its recommendation back to them.
In Swiss data centres or on your own infrastructure, every analysis stays traceable.
