AI-Powered Humanoid Robots Transform SAP Warehouse Pilot

The convergence of artificial intelligence and robotics is moving beyond theory and into practical warehouse applications.

This is epitomised by a pilot programme bringing together enterprise software giant SAP and refrigeration manufacturer BITZER.

The collaboration centres on SAP's Project Embodied AI initiative, which combines AI systems with physical robotics to create autonomous machines capable of operating in real-world environments.

By integrating these robots with SAP Business AI, the technology could enable machines to make cognitive decisions based on real-time operational data, potentially transforming how warehouses function.

Bridging digital and physical operations

BITZER manufactures refrigeration and air conditioning systems that maintain temperature-controlled environments across sectors ranging from healthcare to hospitality.

The company's compressors play a role in preserving medications, keeping food fresh during transport and ensuring supermarket cold chains remain unbroken.

As a RISE with SAP customer, BITZER uses the subscription-based platform to access cloud-based enterprise systems.

This existing technology infrastructure positioned the company as a suitable test environment for SAP's embodied AI robots.

"Optimising business processes is as important as product innovation at BITZER," explains Christian Stenzel, Vice President of Organisation and IT at BITZER.

The company joined SAP's Physical AI and Cognitive Robots Exploration Council, a group of organisations evaluating the practical applications of humanoid robotics in business settings.

Christian points to demand-driven production as a key operational priority.

"Demand-driven production is key in our business," he says, highlighting where AI-enabled automation could potentially add value.

Testing autonomous warehouse technology

The proof of concept deployed NEURA's 4NE1 humanoid robot within BITZER's warehouse operations, connecting directly to the company's existing SAP Extended Warehouse Management (EWM) system.

This integration aimed to demonstrate whether AI-powered robots could operate independently within existing enterprise technology frameworks.

Dr Lukasz Ostrowski, Head of Embodied AI and Robotics at SAP, describes the trial as an initial assessment of how business AI could extend into physical operations.

"The proof of concept at BITZER is great first step for experiencing first-hand how the impact of SAP Business AI can be extended into physical operations," Lukasz explains.

The trial examined several technical capabilities, including whether robots could integrate with warehouse management software without requiring custom middleware development, operate autonomously without human intervention and adapt to varying operational demands across 24-hour production cycles.

Implications for warehouse operations

According to the pilot results, the technology demonstrated several potential advantages for warehouse automation.

The robots connected directly with SAP EWM without requiring additional integration layers, potentially reducing implementation complexity and costs.

The trial also showed that robots could perform tasks independently and operate continuously across multiple shifts.

This round-the-clock capability could allow warehouses to respond more dynamically to fluctuating demand patterns, particularly relevant for companies like BITZER where temperature-controlled supply chains require consistent operations.

The system automatically generated material orders, which could reduce manual data entry errors and streamline procurement processes.

For businesses managing time-sensitive cold chain logistics, where delays can result in product spoilage, this operational efficiency could prove significant.

SAP plans to expand the Project Embodied AI initiative beyond the BITZER trial.

"Further proofs of concept are planned as Project Embodied AI continues to assess the business value of embodied AI for customers," Lukasz notes.

The pilot represents an early-stage exploration of how AI-enabled robotics might integrate with enterprise resource planning systems, moving warehouse automation beyond fixed machinery towards adaptable, cognitively-enabled robots that respond to real-time business data.