CMA CGM Group deploys MAIA, an agentic AI platform co-developed with Mistral AI, across shipping, logistics and media operations
CMA CGM Group
CMA CGM Group, in a five-year strategic partnership with Mistral AI signed in April 2025 that has embedded around twenty Mistral AI engineers in CMA CGM teams in Marseille and at CMA Media's headquarters, will progressively roll out 'MAIA, Powered by Mistral' starting June 1, 2026 -- an agentic AI platform designed to support nearly 80,000 employees across CMA CGM, CEVA Logistics and CMA Media. MAIA enables the development and orchestration of AI agents connected to business knowledge and internal applications, supporting content generation, document analysis, administrative task automation, and decision support. The Group has already deployed more than 55 AI projects and identified over 200 AI use cases, including AI-assisted agents that handle customer tracking and operational queries (escalating complex cases to humans) across more than 54 million customer requests a year, ETA prediction, smart booking and smart pricing, smart cargo release, vessel routing and energy-consumption optimization, demand and volume forecasting, and CEVA Logistics' 'smart labor' warehouse planning tools.
Overview
CMA CGM Group, in a five-year strategic partnership with Mistral AI signed in April 2025 that has embedded around twenty Mistral AI engineers in CMA CGM teams in Marseille and at CMA Media's headquarters, will progressively roll out 'MAIA, Powered by Mistral' starting June 1, 2026 -- an agentic AI platform designed to support nearly 80,000 employees across CMA CGM, CEVA Logistics and CMA Media. MAIA enables the development and orchestration of AI agents connected to business knowledge and internal applications, supporting content generation, document analysis, administrative task automation, and decision support. The Group has already deployed more than 55 AI projects and identified over 200 AI use cases, including AI-assisted agents that handle customer tracking and operational queries (escalating complex cases to humans) across more than 54 million customer requests a year, ETA prediction, smart booking and smart pricing, smart cargo release, vessel routing and energy-consumption optimization, demand and volume forecasting, and CEVA Logistics' 'smart labor' warehouse planning tools.
The challenge
CMA CGM Group sought to accelerate the large-scale deployment of artificial intelligence use cases across its shipping, logistics and media activities, addressing companies' sovereignty, reliability and security challenges, and needed a way to support nearly 80,000 employees with AI agents connected to business knowledge and internal applications.
The solution
In a five-year strategic partnership signed with Mistral AI in April 2025, with around twenty Mistral AI engineers embedded in CMA CGM teams in Marseille and at CMA Media's headquarters, CMA CGM Group co-developed 'MAIA, Powered by Mistral,' an agentic AI platform enabling the development and orchestration of AI agents connected to business knowledge and internal applications. Starting June 1, the Group will progressively roll out MAIA to support nearly 80,000 employees across CMA CGM, CEVA Logistics and CMA Media, facilitating task completion, streamlining access to operational data, and accelerating the processing of specific requests. AI-assisted agents already handle customer tracking and operational queries across more than 54 million customer requests a year, escalating complex cases to human teams, alongside ETA prediction, smart booking and smart pricing, smart cargo release, vessel routing and energy-consumption optimization, demand and volume forecasting, and CEVA Logistics' 'smart labor' warehouse planning tools.
Reported business value
Today, CMA CGM Group has deployed more than 55 AI projects and identified over 200 AI use cases across its businesses. AI-powered solutions improve customer visibility on cargo flows through ETA prediction, provide faster and more tailored offers through smart booking and smart pricing, and simplify and accelerate cargo delivery through smart cargo release.
Sources
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