Matches in SemOpenAlex for { <https://semopenalex.org/work/W4328100460> ?p ?o ?g. }
- W4328100460 abstract "Fashion is one of the most challenging categories for forecasting demand. Our study provides a systematic literature review of the different forecasting techniques used in the fashion industry. Particular focus is given to advancements in artificial intelligence and machine learning methods for predicting the demand for fashion products. Carefully compiled literature is analyzed, and the papers are classified into qualitative, statistical, artificial intelligence (AI), and hybrid techniques based on the forecasting method adopted by researchers. Our review identifies the challenges in predicting demand, and concludes by providing future research directions." @default.
- W4328100460 created "2023-03-22" @default.
- W4328100460 creator A5046766150 @default.
- W4328100460 creator A5074635592 @default.
- W4328100460 date "2023-03-01" @default.
- W4328100460 modified "2023-10-03" @default.
- W4328100460 title "Demand forecasting for fashion products: A systematic review" @default.
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