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  1. 1 lip 2014 · This document classifies and defines different types of fashion. It discusses how fashion can be brief or last a long time. Fashion is classified into styles, basics/classics, fads, forecasting, and trends. Styles are modifications to the basic outline of garments that do not change over time.

  2. 1 sty 2024 · This review aims to study the developments in different methods to forecast demand for fashion products. This study emphasizes the various advanced techniques, especially artificial intelligence (AI) and machine learning (ML) methods used in demand prediction.

  3. 5 wrz 2024 · New product demand forecasting is an important but challenging process that extends to multiple sectors. The paper reviews various forecasting models across different domains, emphasizing the unique challenges of forecasting new fashion products.

  4. 26 paź 2013 · Motivated by the importance of intelligent fashion forecasting, this book project is organized and it features a collection of peer-refereed papers which are organized into three parts, namely Part I – introductory, review and exploratory materials related to fashion forecasting, Part II – theoretical modeling research on fashion ...

  5. 1 paź 2023 · By uninterruptedly anticipating ‘the future’ of fashion with style predictions prior to sales seasons, fashion forecasting becomes a driving force that keeps fashion alive (Blaszczyk & Wubs, 2018), pushing a constant change as a fashion norm (Bauman, 2010; Lopes, 2019) and feeding the restless desire for novelty that fashion imposes ...

  6. As a result, fast fashion companies have to conduct demand forecasting (i) for their products in a nearly “real time” basis (Wang 2011) using technological devices such as RFID (Choi and Sethi 2010; Gaukler 2011), (ii) for a wide variety of products, and (iii) with a limited amount of available data (because of the short selling season of the re...

  7. Motivated by the importance of intelligent fashion forecasting, this book project is organized and it features a collection of peer-refereed papers which are organized into three parts, namely Part I – introductory, review and exploratory materials related to fashion forecasting, Part II – theoretical modeling research on fashion

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