A Demand Forecasting Model Leveraging Machine Learning to Decode Customer Preferences for New Fashion Products
S. Anitha,
R. Neelakandan
Abstract:Demand forecasting for new products in the fashion industry has always been challenging due to changing trends, longer lead times, seasonal shifts, and the proliferation of products. Accurate demand forecasting requires a thorough understanding of consumer preferences. This research suggests a model based on machine learning to analyse customer preferences and forecast the demand for new products. To understand customer preferences, the fitting room data are analysed, and customer profiles are created. K‐means… Show more
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