Joannes Vermorel on Quantitative Supply Chain

In this episode, we spoke to Joannes Vermorel, founder and CEO at Lokad, a quantitative supply chain software company.  Joannes discussed how supply chain theory is broken down, and that we need to think in terms of paradigms and modules rather than models for solving supply chain problems. He talked about issues in time series forecasting and judgmental forecasting. He emphasized how critical it is to have a holistic view of the problem, to aim for optimization of the entire system. and to acknowledge that we often don’t know the metric to be optimized and it requires some experimentation. We also discussed how Lokad is deploying AI pilots to address some of the important problems in supply chain. To learn more about Lokad, visit https://www.lokad.com/ or check them out on YouTube. 

Om Podcasten

Forecasting Impact is a monthly podcast that aims to disseminate the science and practice of forecasting alongside prominent academics and practitioners in the field. Our vision is to grow the forecasting community, foster collaboration between academia and industry, and promote scientific forecasting and good practice. We’ll discuss a variety of topics in economics, supply chain, energy, AI, data analytics, healthcare, and more. Podcast Team:  Dr. Mahdi Abolghasemi, Dr. Sevvandi Kandanaarachchi,  Michał Chojnowski, Dr Laila Akhlaghi, George Boretos, Mariana Menchero, Dr. Faranak Golestaneh, Arian Sultan Khan.  Future guests: if you have something interesting on forecasting to share with our audiences, please send an email to [email protected]