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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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CÁC TẬP KHÁC TRONG PODCAST NÀY
When investing in a piece of supply chain software, there is the expectation that it will last a company decades, rather than just a few years. However, with a rapidly changing tech landscape, this becomes a complicated endeavour. For this episode of LokadTV, we discuss this challenge of maintainab…
Mahatma Gandhi famously said that “The future depends on what you do today.” ― and for the organizations of tomorrow to be successful they already need to start establishing the right set up and supply chain operating model. We're delighted to welcome Markus Leopoldseder and Knut Alicke from Mc…
We've previously discussed the importance of a supply chain specialist over someone with more classic data science capabilities. At Lokad, we call them "Supply Chain Scientists". We're joined by one of our Supply Chain Scientists, Maximilian Barth, to learn more about what their rol…
Despite many companies currently investing huge amounts of resources into establishing data science capabilities, the hard truth is that the majority of these projects fail to impact upon daily business operations. As such, we look beyond classic statistical modelling and explain why the impact of …
Historically, programming has often been seen as an intimidating task reserved for computer whizzes and IT practitioners. Nowadays, however, with the rise of tools such as Python, programming has become that much more accessible. For this episode of LokadTV, we're joined, once more, by Nicolas …
Tuyên bố miễn trừ trách nhiệm: Podcast và tác phẩm nghệ thuật được nhúng trên trang này là của Lokad, là tài sản của chủ sở hữu và không được liên kết hoặc xác nhận bởi Listen Notes, Inc.
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