Abstract:
This paper describes an operational model used within the scope of a budget process for a warranty extension product. The model is built on a database containing a record of the costs incurred with several thousand vehicles over a period of five years. Each component was modelled in two different ways: the âclassicâ way using linear or intrinsically linear models by means of regression and traditional distribution functions; and an âalternativeâ way based on neural networks. The transition from a calibration achieved by traditional methods to one achieved by means of neural networks does not in any way affect the model itself. On the other hand the tremendous flexibility of neural networks has significantly improved the modelâs predictive capabilities without inasmuch adding to its complexity.
Research Papers
Prediction of customer segments with Neural Nets
Catalogue: Seminar 1996: Telecommunications In A Dynamic Market Place
Authors: Knut Kvaal, Harald Djupvik
 
June 15, 1996
Research Papers
Customer segmentation for the automobile market
Catalogue: ESOMAR Congress 1997: Learning From The Future
Authors: Gerard Yahiaoui, Pierre Da Silva Dias, Marie de Saint Blancard
 
September 1, 1997
Research Papers
Understanding the customer with analytical CRM
Catalogue: Automotive Research Forum 2013: Driving Change, Driving Business
Author: Tiger Lee Weihan
 
May 24, 2013
