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1 sty 2013 · The most important literature on forecasting demand of recent years is confronted with recent findings on strategies of the main supply and demand-oriented firms in the fashion industry and on consumer behaviour.
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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.
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.
28 kwi 2023 · These changes follow the latest fashion trends and take on a competitive position based on a low-cost structure and shorter delivery times. Competition in the fashion market, similar to that in other consumer-product markets, is based on speed to market (Cachon & Swinney, Citation 2011).
1 cze 2013 · In the fashion industry, products are usually characterized by long replenishment lead times, short selling seasons and nearly unpredictable demand and therefore, inaccurate forecasts [1]. All these features make the issue of forecasting demand particularly challenging.
23 kwi 2016 · Since the demand forecasting decision making processes is critical for fast fashion, in this study, we first review the recently published studies which employ scientifically sound analytical models to develop demand forecasting for fast fashion.
1 sty 2024 · This study discusses fashion demand forecasting and explores the different methods adopted for forecasting. It also identifies the common explanatory variables used in developing forecasting models in the fashion industry.
