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
