Chapter

Intelligent Fashion Forecasting Systems: Models and Applications

pp 147-160

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Intelligent Fashion Colour Trend Forecasting Schemes: A Comparative Study

  • Yong YuAffiliated withBusiness Division, Institute of Textiles and Clothing, The Hong Kong Polytechnic University
  • , Sau-Fun NgAffiliated withBusiness Division, Institute of Textiles and Clothing, The Hong Kong Polytechnic University
  • , Chi-Leung HuiAffiliated withBusiness Division, Institute of Textiles and Clothing, The Hong Kong Polytechnic University
  • , Na LiuAffiliated withBusiness Division, Institute of Textiles and Clothing, The Hong Kong Polytechnic University Email author 
  • , Tsan-Ming ChoiAffiliated withBusiness Division, Institute of Textiles and Clothing, The Hong Kong Polytechnic University

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Abstract

The colour of a fashion item is one of its key features which often play an important role on the purchase decisions of consumers. And the fashionable colours often prevail in one season, thus, it is crucial for the fashion industry to do forecasting of the fashion trends, especially on colours, prior to the beginning the production for the target season. The lead-time of forecasting becomes shorter recent years with the intensified competition of global fashion industry, and imposes pressure on the forecasting of fashion colour trends. The common practise for the forecasting of colour trends in the fashion industry are based on the ideals of field experts, and the forecasting is in nature fuzzy and hard to be substituted by analytical models. In this paper, we explore the forecasting of colour trends by artificial intelligence models, especially artificial neural network and fuzzy logic models; we observed that such models help to improve the forecasting of fashion colour trends.