Yves R. Sagaert

Assistant Professor | VIVES University of Applied Sciences | KU Leuven | IESÉG Management School

About Me

Hi, I’m Yves R. Sagaert and I’m an Assistant Professor at VIVES University of Applied Sciences (Kortrijk, Belgium) and IESÉG Management School (Lille, France). My research focus is on research in Predictive AI (Artificial Intelligence), Demand Forecasting, Inventory Management, Variable Selection and Leading Indicators.

You can follow my Blog for stories, updates and case studies.

Research interests

Demand Forecasting with Leading Indicators

It's better to look ahead and prepare, than to look back and regret. Map out your future path - but do it in pencil.

My main research focus is on demand forecasting for supply chain management. Here, traditional models typically extraploate historical demand data to forecast future expected demand. However, external events can have a big impact. The business setting is getting more volatile and the impact of external events is increasing. I research how to extend the traditional approach with Leading Indicators. While there is a lot of external data available, the question arises how to select and include this information in a statistical forecasting model which isn’t a black box. This model should be comprehensive and transparent, so that business users can understand the contribution of each piece of information.

In the press

KennisWest: Impact with Applied AI research

I gave an interview on how applied research can help SMEs and what the impact can be on the production floor. The article is available in NL or EN.

International Institue of Forecasters

The IIF is an organisation with forecasting researchers from all around the world who are operating in business or academia. The IIF releases the academic journal International Journal of Forecasting (IJF), as well as a more business-oriented journal Foresight: The International Journal of Applied Forecasting. I gave an interview as a forecasting member of the IJF, which can be found online or in pdf.

Experience

VIVES University of Applied Sciences | KU Leuven

Assistant Professor

2020 - Present

vives.be

Bringing innovation closer

I focus on applied research on predictive analytics with machine learning \& AI (e.g. sales forecasting, student learning forecasting). I am leading my research group at VIVES and together we aim to bring innovative predictive AI closer to practice. Next to this comes project management of internal and external projects, obtaining grants, lecturing, supervising bachelor/master theses and mentoring PhD students.

IÉSEG School of Management

Adjunct Professor

2024 - Present

ieseg.fr

Teaching the next generation of professionals

I collaborate on research with a focus on inventory management and supply chain management. Next to my research collaboration, I teach algorithmic thinking and artificial intelligence algorithms using Python.

Arcelor Mittal

Strategic Innovation Manager for Harbour & Railway

2017 - 2020

belgium.arcelormittal.com

I optimised logistic routing and inventory management and I had a focus on innovation via big data & analytics. I was leading several internal innovation projects and creating a strategic vision to deploy self-driving trains in the next decade.

Solventure

S&OP and Forecasting Research Consultant

2013 - 2017

solventure.eu

I provide executive training, design and teach forecasting courses to professionals in retail and Business-to-Business. Back in these days, I started up the Big Data pillar within the company. My main focus was on research interactions with global supply chain managers and the start-up of new R&D team to valorise my PhD research.

Education

Ghent University

Doctor of Philosophy in Industrial Engineering and Operations Research

2013 - 2017

Improving accuracy and robustness of global tactical sales forecasts in a B2B environment

I developed a framework to improve sales forecasts by including the most relevant external information, such as weather, promotions and market leading indicators in addition to the historical structure

Ghent University

Master of Science in Industrial Engineering and Operations Research

2011 - 2013

Enhancing sales forecasts through the use of adequate exogenous indicators: A case study

Howest University of Applied Sciences

Master of Science in Electrotechnics and Automation

2007 - 2011

Optimisation of Profibus network at Cargill Izegem

When I am not forecasting

I love gardening, cooking and woodworking.