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Statistical demand forecasting was pioneered in the 20th century, however it can be revisited with better, more modern statistical approaches. Yet, these methods aren't necessarily more difficult to implement than their older counterparts, because software tooling has also significantly progressed. We are joined by Nicolas Vandeput, a Supply Chain Scientist specialized in demand forecasting and inventory optimization. We discuss his new book: 'Data Science for Supply Chain Forecast'.
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