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Fashion forecasting is a global career that focuses on upcoming fashion trends. A fashion forecaster predicts the colors, patterns, fabrics, textures, materials, prints, graphics, beauty grooming, accessories, footwear, street styles, and many other styles that will be presented on different runway shows and in stores in upcoming seasons.
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.
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.
13 wrz 2024 · Fashion Trend Forecasting Definition. What is trend forecasting in fashion, you ask? We define it as using data to detect what the next “it” fashions will be. That data includes predicting trends in colors, fabrics, styles, genres (e.g., boho chic, 1980s), patterns, and silhouettes.
28 kwi 2023 · This research study proposes a forecasting model that enhances the accuracy of fashion trend forecasting in the context of multiple variants of colour clothing. The model aims to maximise the firms’ profits, while minimising forecasting errors and reducing costs that result from excess production or, alternatively, from the loss of potential ...
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.
Desk Research. The work of forecasting trends starts with desk research, where forecasters use online and offline platforms to scan and review emerging shifts in economics, politics, science and technology, arts, entertainment, and new ideas across industries, attempting to capture how trend drivers coalesce and to identify emerging megatrends.
