Well googled is half done: Multimodal forecasting of new fashion product sales with image‐based google trends
New fashion product sales forecasting is a challenging problem that involves many business
dynamics and cannot be solved by classical forecasting approaches. In this paper, we
investigate the effectiveness of systematically probing exogenous knowledge in the form of
Google Trends time series and combining it with multi‐modal information related to a brand‐
new fashion item, in order to effectively forecast its sales despite the lack of past data. In
particular, we propose a neural network‐based approach, where an encoder learns a …
dynamics and cannot be solved by classical forecasting approaches. In this paper, we
investigate the effectiveness of systematically probing exogenous knowledge in the form of
Google Trends time series and combining it with multi‐modal information related to a brand‐
new fashion item, in order to effectively forecast its sales despite the lack of past data. In
particular, we propose a neural network‐based approach, where an encoder learns a …
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