Abstract
Sales forecasting is an essential task in retailing. In particular, consumer-oriented markets such as fashion and electronics face uncertain demands, short life cycles and a lack of historical sales data which strengthen the challenges of producing accurate forecasts. This survey paper presents state-of-the-art methods in the sales forecasting research with a focus on fashion and new product forecasting. This study also reviews different strategies to the predictive value of user-generated content and search queries.
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CITATION STYLE
Beheshti-Kashi, S., Karimi, H. R., Thoben, K. D., Lütjen, M., & Teucke, M. (2015, January 1). A survey on retail sales forecasting and prediction in fashion markets. Systems Science and Control Engineering. Taylor and Francis Ltd. https://doi.org/10.1080/21642583.2014.999389
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