Application Potential of Artificial Intelligence in the Car Trade

Social trends such as urbanization, digital transformation and the sharing economy are influencing the future of the automotive trade. Four mobility scenarios, in which cars are privately owned or shared on the one hand and are driven by a driver or move autonomously on the other, are changing the most important business processes in the automotive trade, such as car sales, maintenance, repairs and used car purchases. In all processes, application scenarios for the artificial intelligence (AI) subfields computer vision, natural language processing (NLP) and machine learning can be identified. The analysis shows that the current degree of implementation varies widely, from the already widespread predictive maintenance in maintenance, to the first approaches of computer vision for diagnosis in repair and used car purchase, to the still novel use of chatbots in consulting and machine learning in recommendation processes. For car dealers, the question arises of specialization, e. g. as a service factory or for the fleet management of a mobility service provider, each of which requires different AI scenarios.