A premium car manufacturer wants its future Warranty cases early and reliably.
So far, no consideration of so-called frequent drivers, i.e. vehicles with a high mileage in a short time, to predict future parts requirements and warranty cases.
Identification of frequent drivers by using the Entropy difference from information theory.
Separation of vehicles under warranty into frequent and normal drivers.
With this separation, top rising topics can be identified via rank differences.
Tool for the Forecast and Time-lapse analysis of warranty cases.
Early response to potential warranty claims.
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