Stellantis and Mistral AI: Revolutionizing Vehicle Development and Customer Experience

Stellantis, the world's leading automaker, is expanding its strategic alliance with Mistral AI to revolutionize vehicle development, manufacturing, and customer experience. The partnership, which has been ongoing for over a year, focuses on integrating artificial intelligence (AI) across multiple areas, from vehicle engineering to in-car experiences. By leveraging Mistral AI's expertise in large language models (LLMs) and AI-driven automation, Stellantis aims to enhance data analysis, streamline development, and improve customer interaction.

One of the latest initiatives under this partnership is an advanced in-car assistant designed to provide real-time, conversational support for drivers. This AI-powered assistant allows drivers to interact with their vehicles using natural language, functioning as a voice-enabled user manual. Customers can ask questions about vehicle features, troubleshooting, or warning indicators and receive immediate guidance through a natural, conversational interaction. The assistant will be continuously updated and adaptable to Stellantis brands and models, delivering a seamless and intuitive experience.

Beyond the in-car assistant, Stellantis and Mistral AI are exploring several AI-driven initiatives to further enhance product development, customer experience, and manufacturing efficiency. These include:

1. Bill of Materials (BOM) Data Intelligence: A Stellantis-specific AI-powered tool that streamlines the analysis of complex component databases. A chatbot powered by Mistral AI interacts with company product data, helping engineers identify, compare, and optimize part selections to maximize global reuse and efficiency.
2. Vehicles Feedback Data Analysis: AI automates the processing of data from development fleets and surveys, quickly identifying trends and corrective actions, improving product quality and customer satisfaction.
3. "Club Stellantis" Virtual Assistant: A chatbot that 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.
4. AI-Driven Anomaly Detection: Stellantis is assessing Mistral AI's edge computing models to detect manufacturing errors in real-time, allowing operators to take corrective actions before components are released, improving quality control and efficiency.



These AI-driven initiatives align with Stellantis' long-term goals, including becoming a carbon net zero company by 2038 and reducing production costs by 40% by 2030. By leveraging AI technologies, Stellantis aims to enhance product development, manufacturing, and customer interaction, ultimately improving overall customer experience and operational efficiency.

In conclusion, Stellantis' expanded alliance with Mistral AI demonstrates the company's commitment to embracing the latest advancements in AI to accelerate efficiency, adaptability, and customer-focused innovation. By integrating AI across multiple touchpoints, Stellantis reinforces its commitment to developing innovative, data-driven solutions that enhance its products and the experiences of both customers and employees.