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Analysis of Sales Data: A Neural Net Approach

  • F. Wartenberg
  • R. Decker
Conference paper
Part of the Studies in Classification, Data Analysis, and Knowledge Organization book series (STUDIES CLASS)

Summary

As an increasing interest of the scientific community is devoted to the application of neural networks to pattern recognition, forecasting and optimization, we will demonstrate how so-called Backpropagation Networks can be used to specify market response functions from sales data. The proceeding will be demonstrated by market share analysis. Against this background it is also shown how market diagnostics (e.g., market shares and elasticities) which are well-known to marketing managers can be calculated from a calibrated neural network. Finally, results from an empirical application including a comparison of the new approach with a traditional market share model are sketched.

Keywords

Neural Network Market Share Sales Data Asymmetric Competition Conditional Logit Analysis 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin · Heidelberg 1996

Authors and Affiliations

  • F. Wartenberg
    • 1
  • R. Decker
    • 1
  1. 1.Institut für Entscheidungstheorie und UnternehmensforschungUniversität Karlsruhe (TH)KarlsruheGermany

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