A hybrid sales forecasting system based on clustering and decision trees

A hybrid sales forecasting system based on clustering and decision trees

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Article ID: iaor20072163
Country: Netherlands
Volume: 42
Issue: 1
Start Page Number: 408
End Page Number: 421
Publication Date: Oct 2006
Journal: Decision Support Systems
Authors: ,
Abstract:

Competition and globalization imply a very accurate production and sourcing management of the Textile–Apparel–Distribution network actors. A sales forecasting system is required to respond to the versatile textile market and the needs of the distributors. Nowadays, due to the specific constraints of the textile sales (numerous and new items, short life time), existing forecasting models are generally unsuitable or unusable. We propose a forecasting system, based on clustering and classification tools, which performs mid-term forecasting. Performances of our models are evaluated using real data from an important French textile distributor.

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