The right part on the first visit
Diagnosis uses machine data and the service manual, so the technician sets off with the right part.
Machinery and equipment makers
Every machine you sell starts a long relationship with your customer. Indestera's agents diagnose faults from machine data, choose the right technician and part and prepare quotes the same day, so your customers trust you again every time.
Gains
Diagnosis uses machine data and the service manual, so the technician sets off with the right part.
The moment a job is assigned, the customer receives the technician's arrival time.
Machine, spare part and service quotes are prepared at once from the price list and stock.
Featured scenario
Field service
When a call comes in, the agent diagnoses the fault from machine data and chooses the technician and part; the service manager approves the plan on one screen.

Today
The service team calls the customer, tries to understand the fault over the phone and edits the technician plan by hand in a spreadsheet.
With Indestera
The agent reads machine data, asset history and the service manual together and proposes the best technician and part; the service manager approves and the customer receives the arrival time.
Result
The technician sets off with the right part, the customer's machine is back in production quickly, and the customer stays with you.

A day in the life
A service call is met with the right technician and the right part within minutes.
Customer's machine
Hydraulic pressure drops on an injection moulding machine; the customer opens a service call on the portal.
Service agent
Reads the pressure curve, the fault code and the service manual, diagnoses the relief valve and chooses the nearest technician and the part.
Service manager
Sees that a planned visit will move to tomorrow, reads the rationale and approves the assignment.
Customer
The technician's arrival time reaches the customer by SMS.
Service technician
Is on site with the right part; the machine is soon back in production.

ExampleThis story is an illustrative scenario; names and values are representative.
More scenarios
In thirty minutes we take one of your processes, build an agent tailored to it and show it running.
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