Gone in 30 Days! Predictions for Car Import Planning

Emanuel Lacic*, Matthias Traub, Tomislav Duricic, Eva Haslauer, Elisabeth Lex

*Korrespondierende/r Autor/in für diese Arbeit

Publikation: Beitrag in einer FachzeitschriftArtikel

Abstract

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.
Originalspracheenglisch
Seiten (von - bis)219-228
FachzeitschriftIT - Information technology
Jahrgang60
Ausgabenummer4
DOIs
PublikationsstatusVeröffentlicht - Aug 2018

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