The aim of the presented research and development project is to create a sophisticated prediction model universally applicable for the vast majority of currently available cars (on the market or in operation), regardless of their configuration, equipment, age, brand and other variable indicators. The data base of the new software solution will be data collected from partner authorized service points within the TEAS CARIS system, which records service orders in a standardized format. The output of the project will be 1x software - Predictive maintenance of cars with AI tools based on historical service data.