KUKA and Schneider Electric accelerate industrial transformation with AI-enhanced manufacturing
This use case highlights how KUKA and Schneider Electric transformed manufacturing operations by leveraging advanced Microsoft technologies. At Hannover Messe 2024, they showcased real-world implementations of AI, IoT, and cloud technologies across the factory value chain—from accelerating robot programming to unifying IT and OT data. By employing solutions such as Azure OpenAI Service, Microsoft Fabric, Copilot, and Microsoft Cloud for Manufacturing, they improved quality, resource optimization, employee enablement, and sustainability across manufacturing functions. Multiple partners, including Hexagon, NVIDIA, PTC, and Rockwell Automation, collaborated to deliver intelligent, resilient, and sustainable operations. The demonstration included customer showcases such as BMW Group and addressed pressing manufacturing challenges, including rapid product development, issue resolution, and supply chain resilience. Innovations included new Copilot tools for factory operations, Dynamics 365 Field Service enhancements, and next-gen analytics in Fabric. The initiative demonstrated reduced development cycles, improved technician workflows, and smarter, data-driven decision making. This enabled factories to accelerate programming of industrial robots, apply AI-driven analytics for proactive maintenance, and optimize end-to-end operations. Enhanced employee productivity was achieved through AI-augmented tools like Copilot and Power Platform, extending benefits across HR, field service, and production. Sustainability was also addressed with Microsoft Sustainability Manager, helping organizations monitor and reduce environmental impacts through data and AI-driven insights. Over 130,000 attendees at Hannover Messe experienced nearly 40 live demos and presentations on these AI-powered manufacturing solutions. The showcase illustrated the power of collaboration among manufacturers, technology partners, and Microsoft, making a strong case for AI as a key enabler of industrial transformation.
- Organization
- KUKA
- Industry
- Manufacturing
- Location
- Global
- Published
- May 2024
Reported outcomes
Strategic outcomes
Primary read
Use case focus
Showing 3 of 6
- 1Accelerated industrial robot programming with AI
- 2Unified IT and OT data for intelligent factory operations
- 3AI-driven analytics for process optimization in manufacturing
- Accelerating programming of industrial robots and PLCs to reduce manufacturing lead times.
- Streamlining operations to unify IT and OT data for smarter decision-making.
- Enhancing quality, resource utilization, and factory issue resolution.
- Improving operational resilience and supporting sustainable manufacturing practices.
- Empowering employees across functions with AI-augmented tools.
- Implemented Azure OpenAI Service and Copilot to accelerate robot programming and factory operations.
- Unified IT and OT data using Microsoft Fabric and Microsoft Cloud for Manufacturing.
- Applied generative AI, industrial IoT, and analytics for product design and process improvement.
- Deployed Copilot templates, Dynamics 365 Field Service, and Microsoft Defender for IoT for enhanced operations and security.
- Used Microsoft Sustainability Manager to track and reduce environmental impact.
- Significantly reduced robot and PLC programming/development cycles.
- Improved resource utilization and product quality in manufacturing operations.
- Enabled faster issue resolution and innovation through unified data and AI.
- Enhanced employee productivity and training with Copilot and mixed reality solutions.
- Supported resilient, sustainable, and agile factory operations.
Architecture
Factories leverage Azure OpenAI Service and Copilot templates for industrial robot programming, integrating with Microsoft Fabric to unify IT and OT data. Generative AI and analytics drive faster product development, while Dynamics 365 Field Service and Microsoft Defender for IoT enhance field operations and OT security. Microsoft Sustainability Manager is layered on top to track and report environmental metrics. Partners contribute additional solutions, all orchestrated in an intelligent manufacturing ecosystem.
Implementation partners22
Sources & evidence1
The same organization appears in newer AI deployment evidence.
- Same organization re-documented as recently as 2026.
Measures whether this deployment's public evidence persists — not whether the system is still in production.
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