Vehicles with a possible defect are to be identified in advance, before the defect actually occurs, in order to Warranty costs or to avoid them.
By combining measured value data, master data of the vehicle and diagnostic data, a Forecast model can be created that can reliably predict the occurrence of the fault (Predictive Car Maintenance).
With the help of the technical department and other specialists, errors can be detected and identified in advance.
Through the forecast model 75 % of the vehicles concerned identified in advance. Testing costs and any costly recall campaigns can be avoided. Warranty costs are reduced by over 50 % lowered. Customer satisfaction is increased.
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