Influence of Car Configurator Webpage Data from Automotive Manufacturers on Car Sales by Means of Correlation and Forecasting

A methodology to prove the influence of car configurator webpage data for automotive manufacturers is developed across this research. Firstly, the correlation between online data and sales is measured. Afterward, car variant sales are predicted using a set of forecasting techniques divided into univ...

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Bibliographic Details
Published inForecasting Vol. 4; no. 3; pp. 634 - 653
Main Authors García Sánchez, Juan Manuel, Cardona, Xavier Vilasís, Alexandre Lerma Martín
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.09.2022
Subjects
Automobile industry
Automobile sales
automotive OEMs
car configurator data
Color
Customers
Forecasting
Forecasting techniques
Internet stocks
Inventory
machine learning
Macroeconomics
Manufacturers
Multivariate analysis
OEM
prediction
Queries
Sales forecasting
Securities markets
Social networks
Statistics
Stock exchanges
time series
Transportation equipment industry
Trends
Spain
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Summary:A methodology to prove the influence of car configurator webpage data for automotive manufacturers is developed across this research. Firstly, the correlation between online data and sales is measured. Afterward, car variant sales are predicted using a set of forecasting techniques divided into univariate and multivariate ones. Finally, weekly color mix sales based on these techniques are built and compared. Results show that users visit car configurator webpages 1 to 6 months before the purchase date. Additionally, car variants predictions and weekly color mix sales derived from multivariate techniques, i.e., using car configurator data as external input, provide improvement up to 25 points in the assessment metric.
ISSN:2571-9394
2571-9394
DOI:10.3390/forecast4030034