Can artificial intelligence help used-car dealers survive in a data-driven used-car market?

❓This is something you can learn from our new paper, recently published at the DESRIST2022.

🚀 Thanks to the paper team to make this work happen, Sven Eckhardt, Kilian Sprenkamp, Ingrid Bauer, Gerhard Schwabe, and the collaborators from AMAG Group, Rami Al Beati, Thomas Sauer, and Alex Scheitlin, who did his thesis within the project, and the paper's anonymous reviewers and editors!

✅ Here is the abstract: The used-car market is notoriously untrustworthy and shady. Certified data has been shown to help mitigate the information asymmetry, one of the major factors to an untrustworthy market. In recent times, more and more used-car dealers have had problems surviving in this competitive data-driven market. In this study, we conduct 12 interviews with used-car dealers and several meetings and workshops with employees and executives from the AMAG Group, one of the largest automotive companies in Switzerland. This creates insight into current problems for used-car dealers and how artificial intelligence can help. The problems can be abstracted to the problem of high transaction cost and its subcategories. In reducing transaction costs by utilizing artificial intelligence, new secondary problems arise. People need to trust the certificate, the analytics, and the predictions. Additionally, the data and analytics need to be transparent and understandable, and privacy concerns must be addressed. The implications of this study are manifold. First, we define the problems for used-car dealers on the used-car market and introduce artificial intelligence approaches to the current data-driven used-car market. Afterward, we stress that artificial intelligence needs to follow a human-centered perspective and be designed for trust.

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