A neural clustering and classification system for sales forecasting of new apparel items

作者：Thomassey Sebastien^*; Happiette Michel

来源：Applied Soft Computing, 2007, 7(4): 1177-1187.

DOI：10.1016/j.asoc.2006.01.005

• sales forecasting
• clustering
• classification
• neural networks

The Textile-Apparel-Distribution network actors require a very accurate production and sourcing management to minimize their costs and satisfy their customers. For a such strategy, distributors rely on sales forecasting system to respond to the versatile textile market. However, the specific constraints of the textile sales ( numerous and new items, short lifetime) complicate the forecasting procedure and distributors prefer to use intuitive estimation methods of the sales rather than the existing forecasting models. We propose a decision aid system, based on neural networks, which automatically performs item sales forecasting. Performances of our model are evaluated using real data from an important French textile distributor.

• 出版日期2007-8