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it - Information Technology

Methods and Applications of Informatics and Information Technology

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Volume 60, Issue 4


Gone in 30 days! Predictions for car import planning

Emanuel Lacic / Matthias Traub / Tomislav Duricic / Eva Haslauer / Elisabeth Lex
Published Online: 2018-07-28 | DOI: https://doi.org/10.1515/itit-2017-0040


A challenge for importers in the automobile industry is adjusting to rapidly changing market demands. In this work, we describe a practical study of car import planning based on the monthly car registrations in Austria. We model the task as a data driven forecasting problem and we implement four different prediction approaches. One utilizes a seasonal ARIMA model, while the other is based on LSTM-RNN and both compared to a linear and seasonal baselines. In our experiments, we evaluate the 33 different brands by predicting the number of registrations for the next month and for the year to come.

Keywords: Automotive industry; Data-driven expert systems; Car brand recommendation; Linear methods; Nonlinear methods; Deep learning; Customer demand

ACM CCS: Information systemsInformation systems applicationsDecision support systemsExpert systems


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About the article

Emanuel Lacic

Emanuel Lacic is a Software Engineer and Scientific Researcher in the Social Computing division at the Know-Center. He holds a M.Sc. and B.Sc. in Software Engineering and Information Systems from the University of Zagreb and, is currently a PhD student at the Graz University of Technology. His main research focus lies on Recommender Systems, Deep Learning and Social Network Analysis.

Matthias Traub

Matthias Traub studied Information and Computer Engineering at the Technical University of Graz. He was a research assistant of the department of Intelligent Information Systems at Joanneum Research (2013-2014). Since 2014 he is a member of the Social Computing department at the Know Center in Graz, working in the field of data driven systems with the focus on recommender systems.

Tomislav Duricic

Tomislav Duricic is a Software Engineer and a Junior Scientific Researcher in the Social Computing team at the Know-Center. He holds a Master’s degree in Software Engineering and Information Systems from the University of Zagreb and is currently a PhD student at the Graz University of Technology. His current research interests are in the fields of Complex Network Analysis and Recommender Systems.

Eva Haslauer

Since October 2016 Eva Haslauer ist working as a Projectmanager at Porsche Austria GmbH & CO OG in Salzburg. She works in the Digital Department and is responsible for digital projects in the realm of connected car, used car sale and sales forecast. She holds a PhD in Applied Geoinformatics from the University of Salzburg and worked as PostDoc in Innovation Management at the GI Department.

Elisabeth Lex

Elisabeth Lex is assistant professor at Graz University of Technology and head of the Social Computing area at Know-Center. Her research focus is on Social Computing, Recommender Systems and Data Science and she has published 60+ papers in these fields. She earned her PhD in Text Mining in the Social Web at Graz University of Technology, Austria, advised by Michael Granitzer and Stefanie Lindstaedt.

Received: 2017-12-29

Revised: 2018-05-19

Accepted: 2018-05-21

Published Online: 2018-07-28

Published in Print: 2018-08-28

This work is supported by the Know-Center. The Know-Center is funded within the Austrian COMET Program – Competence Centers for Excellent Technologies – under the auspices of the Austrian Ministry of Transport, Innovation and Technology, the Austrian Ministry of Economics and Labor and by the State of Styria. COMET is managed by the Austrian Research Promotion Agency (FFG).

Citation Information: it - Information Technology, Volume 60, Issue 4, Pages 219–228, ISSN (Online) 2196-7032, ISSN (Print) 1611-2776, DOI: https://doi.org/10.1515/itit-2017-0040.

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