Optimisation of service through centralised management of the entire warranty process with backend integration
A machine reports an error or breaks down – the customer or dealer submits a warranty claim. What happens next?
Now a process begins in which many factors must be checked and coordinated:
✓ Is the defect covered by the warranty?
✓ When did the defect occur?
✓ What documents and information are already available?
✓ Is there a warranty claim for the reported defect at this point in time?
✓ Has a similar problem already occurred with this machine?
✓ In-house warranty or warranty provided by suppliers/partners?
✓ When will the spares be available/how long will it take to
procure/produce them?
✓ Does an external service technician need to be called in, or is it possible
for your own employees to repair the machine?
✓ What terms and conditions are valid for this customer or reseller?
Our application allows you to view and manage all information and documents relating to the machine centrally in one interface.
The entire warranty process is transparent and traceable for all relevant parties, such as your department, dealers, end customers and other suppliers.
Coordination and communication can be carried out easily and user-friendly, both internally and with your partners and customers.
Standardized interfaces for full compatibility
Our solution supports the smooth integration of all process-related systems - whether in intercompany scenarios with serveral backend environments or by connecting external supplier interfaces - using established standard interfaces.
Better communication with the chat function
Communication is the key to fast and smooth processing of end customer/dealer processes.
We solved this central challenge with our integrated chat function.
You can clarify any questions with the applicant's contact person in live chat or automatically notify them by e-mail.
Find defects before becoming expensive – with AI in your machine data
Integrate your sensor data to perform in-depth analyses of the cause of damage.
Identify correlations before they become a problem:
✓ Are there indications that the customer needs training?
✓ Is the machine being operated (continuously) improperly?
✓ Is there increased material wear due to external influences?
✓ Is it actually the reported machine?
By enriching your data with sensor data and using targeted analysis and appropriate AI methods, you gain a solid, objective basis for decision-making - for targeted service calls, sustainable optimization of your product quality and a fact-based evaluation of warranty claims.
This allows you to review warranty claims transparently and comprehensively and reduce costs in the long term.