Coronavirus and Supply Chain – How to apply Data Science to Supply Chain with Nicolas Vandeput

Dec 10, 2020 | Podcast

Coronavirus and Supply Chain – How to apply Data Science to Supply Chain with Nicolas Vandeput


Adventures in Supply Chain podcast is pleased to present this video episode of the “Coronavirus and Supply Chain Series” with Nicolas Vandeput, Consultant at SupChains, Book Author, Professor.

Nicolas is a supply chain data scientist specialized in demand forecasting and inventory optimization. He founded his consultancy company SupChains in 2016 and co-founded SKU Science – a smart online platform for supply chain management – in 2018.

Nicolas enjoys discussing new quantitative models and how to apply them to business reality.

Passionate about education, Nicolas is both an avid learner and enjoys teaching at universities: he has taught forecasting and inventory optimization to master students since 2014 in Brussels, Belgium.

Nicolas published “Data Science for Supply Chain Forecasting” in 2018 and “Inventory Optimization: Models and Simulations” in 2020.

In this episode, we talked about the following:

  • Data science applied to supply chain
  • Forecasting: why, what, when, who
  • First key steps for forecasting
  • Role of accurate data in forecasting
  • Machine learning vs traditional forecasting models – time series
  • Key actions for business leaders to start applying data science to supply chain

Are You Ready For A Supply Chain Transformation?

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