Stellantis and Mistral AI

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Building a more intelligent car: How Stellantis is reshaping in-car AI assistants.

Stellantis and Mistral partner to enhance vehicle engineering, in-car experiences, and manufacturing.

The auto industry is under constant, steady pressure to produce a driving experience that goes above and beyond the standard. From building smarter vehicles to streamlining production, AI is a key piece of the puzzle to enhance both internal operations and the experience on the road. For Stellantis, the world’s fourth largest automaker, streamlining data analysis, accelerating product development, and improving customer interactions is a key part of their strategy for achieving their goals. This case study explains how they tapped into Mistral’s LLM solutions to enhance every part of their organization, including the recent release of an AI-powered in-car assistant.

“There are many players in the AI space, and we’re particularly happy to partner with Mistral AI for its strong ability to adapt quickly and drive meaningful results in a highly collaborative way. Together, we are exploring AI’s potential across several domains to enhance our product development, customer experience, and deliver real benefits.”
Ned Curic, Chief Engineering & Technology Officer, Stellantis

By leveraging Mistral AI's LLMs, Stellantis is poised to achieve:

  • Enhanced customer experience
  • Improved product development
  • Streamlined manufacturing

Background

The partnership between Mistral and Stellantis began in 2024 and aimed to improve customer satisfaction, product development, and manufacturing efficiency using Mistral’s LLMs. Outside of the in-vehicle technology, Stellantis is working with Mistral AI to develop AI-driven innovations such as a Bill of Materials Data Intelligence tool. This tool streamlines the analysis of complex component databases, helping engineers identify, compare, and optimize part selections to maximize global reuse and efficiency. Mistral AI's technology is also being evaluated for real-time anomaly detection in manufacturing, enabling operators to take corrective actions swiftly and improve quality control.

Empowering drivers with on-demand knowledge

When a light comes on in your vehicle or you just have a question about what button does what, pulling over to flip through a several hundred page owners manual can slow you down. With most drivers already accustomed to consulting digital assistants for help in other aspects of their lives, Stellantis saw an opportunity to take AI on the road.

Drivers can interact with their vehicles using natural language, asking questions about vehicle features, troubleshooting or warning indicators and receiving instant guidance. The assistant offers guidance on troubleshooting, warning indicators, and vehicle functions, adapting continuously to Stellantis' various models and brands.

Enabling AI-powered innovation across Stellantis

Beyond the in-car assistant, Stellantis and Mistral AI are exploring several AI-driven initiatives:

  • Bill of Materials (BOM) data intelligence: An AI-driven tool was created to streamline the analysis of complex component databases. This tool helps over 8000 engineers identify, compare, and optimize part selections, maximizing global reuse and efficiency in the manufacturing process.
  • Real-time anomaly detection: Mistral AI's technology is being evaluated for real-time anomaly detection in manufacturing. This allows operators to take corrective actions swiftly, improving quality control and overall efficiency.
  • Vehicles feedback data analysis: AI automates the processing of data from development fleets and surveys, quickly identifying trends and corrective actions to improve product quality and customer satisfaction.
  • "Club Stellantis" virtual assistant: A chatbot assists Stellantis employees in France with purchasing company vehicles. The tool is optimized for handling queries in multiple languages, a key feature as the company plans to expand the service across other European countries.

Results

The partnership has led to significant improvements in customer satisfaction, product development, and manufacturing efficiency. By leveraging AI across multiple touchpoints, Stellantis has already accelerated innovation and enhanced its products and experiences for both customers and employees.

  • Enhanced customer experience: The AI-powered in-car assistant provides real-time, conversational support, making vehicle interactions more intuitive and user-friendly and is poised to serve millions of vehicles.
  • Improved product development: AI-driven data analysis accelerates development times and enhances product quality.
  • Streamlined manufacturing: Real-time anomaly detection and optimized part selection improve manufacturing efficiency and quality control.

Conclusion

The strategic partnership between Stellantis and Mistral AI exemplifies the transformative power of AI in the automotive industry. By integrating AI across various domains, Stellantis is not only enhancing customer experiences but also driving innovation and efficiency in vehicle development and manufacturing. This collaboration underscores Stellantis' commitment to leveraging cutting-edge technology to achieve its ambitious goals in mobility and sustainability.

For more information on how Mistral AI is driving innovation across industries, visit Mistral AI Customer Stories.

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