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INFORMS 2021
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New Product Multimodal Demand Forecasting For Fashion Retail

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Abstract

Fashion Industry launches substantial new products every season. Hence, accurate new product demand forecasting is vital for effective demand planning. To tackle this, we propose novel attention based encoder-decoder models that can effectively capture the non-linear relations between product images, attributes, sales and external regressors for robust new product forecasting. Through empirical validation on a large fashion dataset, we show the efficacy and interpretability of our methods as compared to existing baselines.

Date

24 Oct 2021

Publication

INFORMS 2021

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