Fashion sales forecasting is a challenging problem: how to predict sales for items that have no sales history? In this talk we will present a high level overview on how Zalando uses machine learning models to capture both the nuances of the consumer marketplace as well as customer behaviour.
Questions:
- Challenging problem: predicting sales of items without history
- Zalando Research: new ways to make use of novel data, solve hard engineering problems
- Performance in predicting millions of products
- Modelling user and fashion influencer behaviour
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