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Forecasting ImpactAuthor: Forecasting Impact
Forecasting Impact is a bimonthly podcast that aims to disseminate the science and practice of forecasting by introducing prominent academics, practitioners, and visionaries in the forecasting domain. Our vision is to help grow the forecasting community, foster collaboration between academia, industry, and governments, and promote scientific forecasting and good practices.We will discuss a range of forecasting topics in economics, supply chain, energy, social goods, AI, machine learning, data analytics, education, healthcare, and more.Forecasting Impact episodes are also available on the IIF YouTube Channel @IIForecasters.Podcast TeamChair and Co-host: Dr. Laila Ahadi-Akhlaghi, Senior Technical Advisor at JSI.Additional co-hosts: Dr. Mahdi Abolghasemi, Lecturer in Data Science at The University of Queensland,George Boretos, Founder & CEO at FutureUP,Dr. Faranak Golestaneh, Data Science Senior Manager at Commonwealth Bank of Australia,Mariana Menchero, Senior Forecaster at Nixtla, and Arian Sultan Khan, Data Analyst at VANCo-hosts in the past have included: Micha Chojnowski, Shari De Baets, Elaine Deschamps, Dr. Sevvandi Kandanaarachchi, Bahman Rostami-Tabar, Anna Sroginis, and Sarah Van der Auweraer.We welcome your feedback, questions, and suggestions. Please contact us at forecastingimpact@forecasters.org Language: en-us Genres: Business, Education, Non-Profit Contact email: Get it Feed URL: Get it iTunes ID: Get it Trailer: |
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Demand Forecasting and Inventory Optimization with Nicolas Vandeput
Episode 51
Tuesday, 11 August, 2026
In this episode of Forecasting Impact, hosts George Boretos and Mariana Menchero speak with Nicolas Vandeput, supply chain data scientist, author, educator, founder of SupChains, and organizer of the VN competitions. Drawing on years of experience in demand forecasting and inventory optimization, Nicolas challenges several widely held assumptions and shares a practical perspective on what truly creates value in forecasting.We discuss the role of machine learning in demand forecasting, the importance of strong benchmarks, common pitfalls in forecast evaluation, and how inventory optimization changes the way we think about forecasting performance. Nicolas also shares lessons from working with practitioners across industries and reflects on the key insights from the VN1 Forecasting and VN2 Inventory Planning competitions.
