Can Multivariate Deep Learning Models Reshape Demand Forecasting?

Authors:
Diego Campos Durand, Miguel Iturralde
MIT Supply Chain Management Program

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Summary:
Our sponsor company uses traditional and modern univariate forecasting methods to obtain around 60% operational forecast accuracy. The project aims to prove that we can leverage e-commerce data using deep learning models to uplift their forecast accuracy.


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