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 ...

Enerparc’s Yoojin Lee reveals how the company’s artificial intelligence approaches are used to make day-ahead forecasts more accurate.

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 ...