Data Science in Fashion - Exploring Demand Forecasting

Data Science in Fashion - Exploring Demand Forecasting

Demand forecasting is key for the retailing industry. This is especially true in the fashion industry where product demand is volatile and the life cycle is short. In this talk I will describe the Demand Forecasting Problem in the context of a brick-and-mortar retailer. I will discuss commonly used techniques, including evaluation metrics, feature and target transformations and commonly used predictors. Finally, I will conclude with a short discussion on the challenges of successfully implementing a demand forecasting solution beyond the technical details.

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Miguel Cabrera

October 26, 2019
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