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.

No AI without Data Engineering

However, before a predictive model can be developed, it is essential to identify relevant data sources, validate and cleanse the collected data for completeness and changes, i.e., preprocess it. “From our experience, data engineering, which involves preprocessing the data, is a crucial step towards AI and constitutes a significant part of our work in the project,” explains Aymanns.

At Hella Gutmann, critical parameters for fault diagnosis are already known, as are tolerance ranges for error codes. With this information, the AI model can now detect anomalies in the data and diagnose faults in vehicles. Currently, the predictive model is being tested and validated in practice with the support of automotive experts.

No Artificial Intelligence without Human Intelligence

The so-called “active learning” approach is employed, where the machine learning model suggests a possible fault diagnosis to employees, who can review and potentially correct it.

It is crucial to understand the introduction of AI as a cultural change and to involve employees in transparent dialogues when implementing AI methods. This approach helps to address any reservations towards automation processes, enabling harmonious cooperation between human and artificial intelligence. “The AI Marketplace has provided us with information resources that helped us gain a comprehensive and well-rounded understanding, especially regarding the ethical and legal framework for introducing AI,” adds Aymanns.

Product Innovation with the Involvement of the AI Marketplace

The Hella Gutmann “Automated Diagnosis” (AD), developed with the participation of the AI Marketplace, will be integrated into the mega macs Diagnosis Software SDI by the end of 2022 and rolled out to SDI customers. The system continuously improves itself by leveraging and integrating feedback from automotive experts. Currently, the AD feature is based on around 2 billion historical error codes and approximately 5 million statistically recorded causalities from Hella Gutmann’s Technical Call Center. With this data, defective components can be identified with high probability in over 80% of diagnosed cases. The “Automated Diagnosis” enables automotive workshops to save significant time through more efficient workflows while improving diagnosis quality.

Contact

David Aymanns
Hella Gutmann Solutions GmbH
Send E-Mail

You may also be interested in

We Are Among the TOP 24 at OUT OF THE BOX.NRW – Your Vote Counts!

We are thrilled to announce that AI Marketplace has been selected as one of the Top 24 startups for OUT OF THE BOX.NRW 2024. This selection was made by a …

Success at the prostep ivip Symposium 2024

We are proud to have won the coveted Start-up Pitch Award at the prostep ivip Symposium in Munich! Our performance in the Pitch Area allowed us to present our marketplace …

moonshots & moneten 2024

Great news for all those who follow the start-up scene in Ostwestfalen-Lippe: AI Marketplace has won a wildcard for the upcoming “OWL Start-up Pitch” at the Mountain Camp of the …

Zwei junge Kollegen betrachten eine digitale Modelldarstellung

Using Chat with Product Data? The Future of PLM and Artificial Intelligence

What is AI and how does it change the way engineers work? In a hands-on webinar, we join experts from the Fraunhofer Institute for Mechatronics Design IEM and Aras to shed light on the exciting world of artificial intelligence (AI) in conjunction with product lifecycle management (PLM).

Markt der digitalen Möglichkeiten

Im Rahmen Digital-Gipfels präsentieren die Stadt Jena und der Freistaat Thüringen den “Markt der digitalen Möglichkeiten” – eine Messe, die eindrucksvoll aufzeigt, wie digitale Technologien bereits in verschiedenen Lebensbereichen integriert …

Vertrieb 2.0: Mit KI zum Vertriebserfolg

Viele Unternehmen kennen es: Informationen werden häufig auf unterschiedliche Systeme verteilt abgelegt. Die Negativkonsequenzen können weitreichend sein. Mit KI-Software kann passgenau an den bisherigen Schwachstellen der unternehmerischen Datenlandschaft angesetzt werden, indem Kundendaten in ein zentrales System überführt werden.

FDT Demo Day #1: KI in der Anwendung

Am 11.07.2023 findet die erste Ausgabe des Demo Days zum Thema „KI in der Anwendung“ des Forum Digitale Technologien statt. Von KI im Engineering über angewandte Produktionsunterstützung, vom KI-Service-Ökosystem bis …

Menschengruppe steht im Innenhof eines Bürogebäudes.

KI-Marktplatz: Wie Künstliche Intelligenz das Engineering revolutioniert

Gefördertes Forschungsprojekt endet – Start-up macht weiter Entwicklungszeiten verringern, Kosten reduzieren und zeitgleich die Produktivität steigern: Warum sich Unternehmen mit Künstlicher Intelligenz (KI) im Engineering beschäftigen sollten, hat das vom …

AI Marketplace: thinking outside the box to find solutions

The AI Marketplace offers technical solutions and solution paths on the topic of artificial intelligence. We spoke with Leon Özcan and Christoph Mertens about the next steps.

BMWK-Sommercampus des „KI-Innovationswettbewerbs“

Der BMWK-Sommercampus 2023 findet vom 21. bi 22. Juni in Berlin statt und richtet sich an alle Projektbeteiligten des KI-Innovationswettbewerbs.

Conference System:Ability: Advanced Systems Engineering for Sustainable Innovations

Rund 180 Teilnehmer:innen nahmen an der system:ability Konferenz teil, um die Herausforderungen und Chancen des Advanced Systems Engineering zu diskutieren.

From AI to sustainability – OWL at Hannover Messe

AI and sustainability – these were the key topics with which the OstWestfalenLippe region presented itself at this year’s Hannover Messe from April 17 to 21. The world’s leading trade …