Deep learning is able to find similar SKUs and use that information to bootstrap the forecasting. For instance, SKUs might be associated with a top-level category as “clothing”, or lower-level ...

Numerous deep learning architectures have been developed to accommodate the diversity of time-series datasets across different domains. In this article, we survey common encoder and decoder designs ...

It is because of this flexibility from the deep learning capabilities that RECAST could be used to learn from data spanning multiple areas around the world and provide better predictions about poorly ...