The CMA CGM Group, the third-largest shipping company in the world, is accelerating its digital transformation by establishing a strategic partnership with the French unicorn Mistral AI, which it has supported since its inception. Valued at 100 million euros over five years, this agreement aims to integrate generative AI into the core of the group's activities, from maritime transport to logistics, and even media.
This alliance is based on the direct integration of Mistral AI teams within the CMA CGM headquarters in Marseille, and CMA Media at Grand Central. This site, inaugurated earlier this year by Rodolphe Saadé, CEO of the Marseille group, hosts the headquarters of La Provence, the local editorial team of La Tribune, and La Tribune Dimanche, soon to be joined by BFM Marseille.

Two entities have been created to structure the effort: 'Mistral AI Factory', dedicated to optimizing operations and customer experience, and 'AI Media Lab', focused on editorial innovation and information reliability. In the logistics field, the partnership aims to improve operational performance through the automation of repetitive tasks, customization of client services, and streamlining of processes. The use of intelligent document management systems and conversational AI should allow for greater responsiveness and reduced processing costs.

On the media side, the ambition is to equip CMA Media with generative AI tools to enhance source verification, content production, and information structuring. The AI Media Lab, bringing together AI experts, journalists, and publishing professionals, intends to develop proprietary solutions for better control of the editorial chain and increased control over the quality of disseminated information.

This partnership will also reinforce the AI training program at TANGRAM, the innovation and training center of the CMA CGM Group, inaugurated just a year ago, to support employees in adopting these technologies.

500 million euros of investments in AI


Since Rodolphe Saadé took over the leadership of CMA CGM, founded by his father, 500 million euros have been dedicated to AI. The group has not only participated in all funding rounds of Mistral AI but also invested in the American startup Poolside AI, now based in Paris, and another French unicorn, Dataiku. It also co-founded, in 2023, the Kyutai lab dedicated to open AI research, allocating 100 million euros to it. A portion of the sum dedicated to AI also supported strategic partnerships with industry leaders such as Google or Perplexity.

Rodolphe Saadé emphasizes:
"With Mistral AI, we choose a French technological leader, combining excellence, digital sovereignty, and a sense of responsibility, to build artificial intelligence that serves our performance and our values."
 

Arthur Mensch, CEO of Mistral AI, concludes:
"CMA CGM's commitment to transforming all its businesses by integrating generative AI demonstrates the group's ambition in terms of transformation as well as its strategic vision. Our partnership should pave the way for a structural adoption of AI by companies, to increase European competitiveness."

 

Translated from CMA CGM et Mistral AI : une alliance 100% française au service de l’innovation et de la transformation industrielle

To better understand

What is generative AI and how can it transform operations in maritime transport and logistics?

Generative AI is a type of artificial intelligence capable of creating new and original content, like text, images, or 3D models. In maritime transport and logistics, it can optimize operations by automating repetitive tasks, enhancing customer service personalization, and streamlining document management processes, thus reducing costs and improving responsiveness.

What is the impact of European regulations on the adoption of AI in companies like CMA CGM?

European regulations, such as the General Data Protection Regulation (GDPR) and emerging AI laws, require companies to ensure transparency, fairness, and data protection in AI use. For CMA CGM, this means developing compliant systems that emphasize data privacy and minimize algorithmic biases.