Michelin
Discover 7 AI Use Cases & Implementations from Michelin
Hyperscaler mix
See whether Michelin's cases are powered by Microsoft, AWS, GCP, or multiple providers.
Reported outcomes
3 cases report measurable results
−37.5%
Cost savings
median · 2 metrics
+5%
Revenue & growth
median · 1 metric
Medians of results published in Michelin cases, normalized for comparability. See all benchmarks →
Evidence persistence
3 of 3 judgeable cases are still publicly referenced · 3 show the organization expanding AI use.
Durability of public evidence, not whether systems remain in production. How this is measured →
Technology snapshot
What Michelin uses across visible cases
Capability flags and technologies mentioned in the indexed use cases on this page.
- Top use case
- Agent
- Tagged cases
- 2/7
- Tech names
- 25
All Use Cases (7)
Michelin Leverages Microsoft and Cosmo Tech AI-Simulation Technology to Optimize Manufacturing and Supply Chain
Michelin aimed to optimize its global profit margin, enhance supply chain resilience, and improve manufacturing operational efficiency under complex global market conditions.
Microsoft
Michelin uses Microsoft Dynamics 365 Business Central with AI to drive manufacturing innovation
Michelin adopted Microsoft Dynamics 365 Business Central as a cloud-based ERP system tailored for SMBs within its acquired companies to align IT with its growth and sustainability goals.The ERP solution simplified deployment and maintenance compared to Michelin's complex corporate ERP, fitting smaller companies' budgets and needs.The deployment integrated seamlessly with Microsoft 365 productivity apps and allowed rapid onboarding and global financial coordination.With over 200 applications across 121 manufacturing sites, Michelin achieved efficiency gains and faster implementations.Michelin is also exploring AI integration to further enhance operational efficiency and data analytics.
MicrosoftMichelin Scales AI Across Manufacturing with Microsoft Azure and Dataiku
Michelin uses Dataiku, integrated with Microsoft Azure, Snowflake, Databricks, Apache Kafka, Power BI, and AVEVA, to scale AI across its manufacturing operations and R&D locations.The platform enables over 1,500 users, primarily business experts, to leverage AI for predictive maintenance, quality control, energy optimization, and process improvements.Michelin is actively integrating GenAI chatbots using Azure OpenAI Service for interactive data insights to accelerate innovation and operational savings.
MicrosoftMichelin, Alltech, Team Rubicon, Festo, DDFL transform operations and engagement
This case study highlights several organizations in various industries—retail, manufacturing, financial services, and nonprofits—that have implemented Microsoft Dynamics 365 with the help of ProServeIT to drive efficiency and growth.Michelin modernized its supply chain and financial operations to enhance customer service and collaboration throughout its global network.Alltech leveraged AI-driven analytics and automation by integrating Dynamics 365 to improve supply chain efficiency and ensure regulatory compliance, resulting in greater agility and cost savings.Team Rubicon used Dynamics 365 Customer Insights and AI-powered automation to optimize volunteer coordination for disaster response and improved operational efficiency with real-time analytics.Festo (matched from FSESO) digitized its education and compliance management, streamlining certification tracking and course management for stakeholders.Denver Dumb Friends League (DDFL) centralized donor management, volunteer engagement, and fundraising operations, expanding its services and improving outreach and resource allocation.Across these organizations, the adoption of Dynamics 365 unified data management, automated key processes, and enhanced collaboration, enabling better decision-making and measurable cost and impact improvements.ProServeIT played a key role as the consulting partner, providing tailored implementation and optimization of Dynamics 365 across these organizations.The use case demonstrates the wide applicability of AI-driven tools and business applications in solving operational challenges and scaling impact across industries.
MicrosoftMichelin Transforms Manufacturing and Aftermarket Service Using Microsoft Azure and Apache Kafka
Michelin modernized their supply chain and aftermarket sales with a transition from a monolithic Business Process Management system to a microservices architecture using event-driven choreography powered by Apache Kafka, hosted on Microsoft Azure.They adopted cloud-native technologies like Kubernetes and Zeebe as part of the technical infrastructure and migrated operations to fully managed Confluent Cloud on Azure for real-time data streaming and integration.The new architecture enabled decoupled, real-time supply chain orchestration, predictive mobility services, and context-specific customer service, improving responsiveness and innovation speed across over 50 global manufacturing sites.
MicrosoftMichelin Deploys AI Agents for Internal Service Automation with Microsoft Teams and SharePoint
Michelin, a global leader in tire manufacturing, has implemented multiple AI agents integrated with Microsoft Teams and SharePoint to automate internal service requests within HR, Legal, Business Travel, and Administration departments.The company aimed to improve user experience and operational efficiency by reducing the manual processing of frequent service requests.The AI agents automate responses and processes across four major internal service domains, effectively enhancing employee experience and digital transformation efforts.
Michelin Boosts Manufacturing Innovation and Team Productivity with Microsoft Azure OpenAI and Copilot
Michelin, a renowned French tire manufacturer, has developed an in-house chatbot platform called 'Aurora' using Azure OpenAI Service, empowering employees from R&D to manufacturing and marketing to innovate and improve productivity with generative AI.The company also deploys Microsoft 365 Copilot for various operational tasks such as meeting summarization, document search, and data qualification, significantly boosting team productivity and unlocking new perspectives for employees.