Demand forecasting for fashion products: A systematic review

Kritika Swaminathan and Rakesh Venkitasubramony

International Journal of Forecasting, 2024, vol. 40, issue 1, 247-267

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.

Keywords: Demand forecasting; Fashion forecasting; Systematic review; Artificial Intelligence; Machine learning (search for similar items in EconPapers)
Date: 2024
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:intfor:v:40:y:2024:i:1:p:247-267

DOI: 10.1016/j.ijforecast.2023.02.005

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