Titlebook: Intelligent Fashion Forecasting Systems: Models and Applications; Tsan-Ming Choi,Chi-Leung Hui,Yong Yu Book 2014 Springer-Verlag Berlin He

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ications.Supplementing the literature on fashion forecastingForecasting is a crucial function for companies in the fashion industry, but for many real-life forecasting applications in the, the data patterns are notorious for being highly volatile and it is very difficult, if not impossible, to analy

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Sales Forecasting in Apparel and Fashion Industry: A Reviewng in the fashion industry, the methodologies and techniques existing in the literature to cope with these constraints and finally, the new topics which could be explored in the field of the sales forecasting for fashion products.

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Neural Networks Based Forecasting for Romanian Clothing Sectorf the financial indicators and trends related to the Romanian clothing industry, firstly at macroeconomic level, taking into account the interest of potential investors in this field, and secondly at microeconomic level, representing the analysis of the results for an operational company.

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Forecasting Fashion Store Reservations:Booking Horizon Forecasting with Dynamic Updating procedure considers the correlation and dynamics of bookings within the booking horizon and between successive product instances. The approach is tested on simulated demand data and shows a significant improvement in forecast accuracy.

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Book 2014 notorious for being highly volatile and it is very difficult, if not impossible, to analytically learn about the underlying patterns. As a result, many traditional methods (such as pure statistical models) will fail to make a sound prediction. Over the past decade, advances in artificial intelligen

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978-3-662-52481-7Springer-Verlag Berlin Heidelberg 2014

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https://doi.org/10.1007/978-3-642-39869-8artificial intelligence; decision support systems; fashion forecasting; intelligent forecasting systems

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