Automotive Supplier Martur Fompak Links SAP Joule to Humanoid Robots for Intralogistics
Martur Fompak International is using humanoid robots to manage material flow in its automotive production facilities. This autonomous intralogistics model uses SAP Joule and embodied AI to coordinate hardware from the UK-based firm Humanoid. The deployment represents a transition from fixed machinery to general-purpose robotics for physically demanding factory tasks.
The system connects SAP S/4HANA and SAP Extended Warehouse Management (EWM) to the factory floor. This connection allows the SAP Joule copilot to transmit real-time production signals directly to the robots. Consequently, the machines adjust their movements based on current inventory levels and assembly line needs. The project is designed to move human staff away from hazardous or repetitive tasks into roles with higher technical requirements.
Operational Integration of SAP Joule and AI
The application of SAP Joule in heavy industry indicates that autonomous systems are reaching commercial maturity. These humanoid units differ from standard automated guided vehicles because they use AI to navigate and manipulate objects without following fixed paths. Martur Fompak won the AI Excellence category at the 2026 SAP Innovation Awards for this project. This recognition suggests that enterprise AI is expanding from software-based assistance into physical labor automation.
This implementation proves that ERP data can control robotic hardware directly. Because the robots are linked to SAP S/4HANA, they respond to actual demand instead of following static schedules. This integration lowers the time between a material request and its delivery, improving overall automotive throughput. The project also highlights a shift in how manufacturers address labor shortages by using standardized software interfaces to manage diverse robotic fleets.
The collaboration between SAP and Humanoid establishes a framework for future industrial robotics. As of May 20, 2026, Martur Fompak is evaluating the performance of this model to determine its scalability. The company plans to expand the robot fleet to other international manufacturing sites to streamline its global supply chain operations.
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