Predictive analytics for forecasting in the automotive sector

Consideration of vehicles with high mileage per unit time to forecast future upward mobility themes.

Reduction of warranty costs



Method for early identification of vehicle components that cause high warranty costs.


Applicable to all components whose wear depends on the operating time with respect to mileage.


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.

Are you interested in your own use cases?


An automotive company would like to visualise various market-specific data in order to create a Competitive analysis for the US market.


There will be a interactive and Flexible application, including of different maps with two different views implemented.


Relevant markets are identifies, analyses and visualises. The dealer or the respective sales department have the possibility to compare the direct competition with their own product and to visualise the relevant data.

Our Case Studies

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Case Study AI at Munich Re

Data Operations at Munich Re


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