AI-Based Fashion Sales Forecasting Methods in Big Data Era

The demand of fashionable products is much difficult to be forecasted owing to the short-life cycle and high volatility driven by the ever-changing fashion trend. Many artificial intelligent (AI) methods and AI-based hybrid methods have been proven to be efficient for conducting fashion sales forecasting in previous studies. With the development and application of big data, information analytics would definitely lead to benefit for fashion sales forecasting, operation management, even the whole fashion supply chain coordination. However, few researches have studied the applicability of AI methods with big data. As we know, AI-based forecasting methods are time consuming and complex processing. In this chapter, we determine whether they are suitable and efficient for conducting fashion sales forecasting by high dimensional and large data. This paper aims to provide an up-to-date review on the commonly used and more efficient AI-based fashion sales forecasting methods and further examines the applicability of these methods in big data. How to make better use of these methods in big data era will also be conducted.