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About the author

Ivan Svetunkov is a Senior Lecturer of Marketing Analytics at Lancaster University, UK and a Marketing Director of the Centre for Marketing Analytics and Forecasting. He has a PhD in Management Science from Lancaster University and a candidate degree in economics from Saint Petersburg State University of Economics and Finance, Russia. His main area of interest is statistical learning for forecasting, focusing on demand forecasting in healthcare, supply chains and retail. He is a creator and a maintainer of several forecasting- and analytics-related R packages, such as greybox (Svetunkov, 2026a), smooth (Svetunkov, 2026b), and legion (Svetunkov and Pritularga, 2025).

LinkedIn, BlueSky, Open Forecasting website, SoundCloud, ResearchGate, StackExchange, StackOverflow and GitHub.

References

• Svetunkov, I., 2026a. Greybox: Toolbox for model building and forecasting. https://github.com/openforecast-org/greybox R package version 2.0.9

• Svetunkov, I., 2026b. Smooth: Forecasting using state space models. https://github.com/openforecast-org/smooth R package version 4.5.1

• Svetunkov, I., Pritularga, K.F., 2025. Legion: Forecasting using multivariate models. https://github.com/config-i1/legion R package version 0.2.1

The software behind this book. The methods described here are implemented in the smooth and greybox packages for R and Python, which are free and open source.

Want to learn this with us? We teach these methods to practitioners on Demand Forecasting Principles, a four-week online course, and run other courses in forecasting, statistics and analytics.