Hella Gutmann – Finding the Right Spare Part with a Click
Hella Gutmann Solutions has been providing solutions for the repair and maintenance of cars and motorcycles since 1968, primarily collaborating with independent workshops. Within the AI Marketplace, the company focuses on AI-supported vehicle diagnostics to automatically detect faulty components across a variety of vehicle brands and support workshop personnel.
Traditionally, potential faulty components in vehicles are identified based on error codes and sensor readings. Mechanics in workshops typically require significant time and extensive automotive knowledge to create a comprehensive diagnosis based on retrieved error codes or measured sensor values. Hella Gutmann’s devices perform 66 million automotive diagnostics per year, generating data from 35,000 vehicle models from various manufacturers, including information on fuel injection quantities and mileage. “This large amount of data has led us to explore where we can apply AI methods to simplify and optimize vehicle diagnostics,” says David Aymanns, Head of Data Science at Hella Gutmann.
In the process, vehicle and diagnostic data are collected and stored in a database through an Extract-Transform-Load (ETL) process implemented at different locations in the workshops. In collaboration with experts from the AI Marketplace, a machine learning model has been developed and is now being trained using the collected data. Simultaneously, the predictive model is gradually optimized through feedback from automotive experts and integrated into a demonstrator for AI-supported vehicle diagnostics.