Arvato
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Arvato has 3 source-linked AI deployments documented in AIUseCaseHub, across 1 industry and 2 countries. Key partners include SAP.
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Hyperscaler mix
See whether Arvato's cases are powered by Microsoft, AWS, GCP, or multiple providers.
How Arvato builds AI
Build / Buy / Compose across this company's documented cases
2 of 3 cases classified (67%) · Compare all use-case types
Use case portfolio
Use case types at Arvato
Claims automation leads with 1 of 3 documented cases; 3 distinct types appear across the visible portfolio.
Technology snapshot
What Arvato uses across visible cases
Computer Vision appears in 2 of 3 indexed cases; 13 named technologies are mentioned, led by Azure.
All Use Cases (3)
Arvato transforms warehouse operations with autonomous AI and robotics
Arvato, a global logistics provider, partnered with Microsoft to develop a self-managing warehouse as part of the 'Moonshot' research project. The initiative leverages generative AI, robotics, computer vision, and cloud technologies to automate and continuously improve warehouse processes. One application optimizes picking routes based on real-time data analysis, streamlining navigation for warehouse staff. Another solution uses AI to interpret carrier responses on transport complaints, automating actions in claim management and dramatically reducing manual task loads to only 3-4%. Microsoft provides key technologies including data platforms, generative AI forecasting, computer vision, cognitive services (such as speech recognition and text analysis), and cloud computing. The joint research effort aims to move beyond automating individual processes and towards creating an end-to-end autonomous warehouse framework, starting with layout optimization to order handling and claim management. Initial results have demonstrated significant productivity gains and operational efficiencies, reducing workload and paving the way for future, fully autonomous warehouse management. The project was showcased at the Gartner Supply Chain Symposium/Xpo 2024 in Barcelona.
Arvato streamlines supply chain logistics for efficiency and sustainability
Arvato Systems, a Germany-based logistics specialist, implemented AI-powered optimization for complex supply chain logistics using Microsoft Azure and integrated SAP solutions.The project focused on addressing challenges like order complexity, warehouse release processes, and transport optimization.Arvato blended its supply chain management expertise with Azure Cloud, SAP S/4HANA, SAP Extended Warehouse Management (EWM), and SAP Transportation Management (TM), along with its proprietary platbricks platform.Innovations included the use of machine learning, analytics, mobile logistics apps, and chatbots to modernize logistics operations for clients across various industries.Their services extended beyond IT implementation, covering strategic partnership, process redesign, education, and change management.The platform was designed to close digitization gaps and enable tailored supply chain optimization depending on individual client requirements.With this digital transformation, Arvato enabled logistics organizations to improve efficiency, customize processes, and ensure future-readiness.Key outcomes included enhanced operational efficiency and sustainability throughout the logistics chain.The integration also supported innovation continuity by exposing customers to emerging logistics trends.This solution positioned Arvato customers for continuous growth in dynamic global markets.
Arvato automates quality inspection and logistics for global device supply chains
Arvato, a subsidiary of Bertelsmann, partnered with Microsoft to automate quality control in their logistics operations for Microsoft devices. The company operates international distribution centers for Microsoft device supply chains in the US, Europe, Australia, and Asia, adapting product packaging for different markets and supporting rapid market demands. Previously, quality checks were performed manually, leading to inefficiencies and a higher risk of error. Leveraging Azure Cognitive Services for image recognition, Arvato developed a platform where packaged devices are visually scanned from all angles by five cameras as they move through a tunnel on conveyor belts. Images are uploaded to Azure, where AI models assess packaging integrity and labeling. Results are sent to an SAP-integrated control program (Armada), which then automates sorting of the packages. The system delivers nearly 100% error detection and reduces lead times while enabling consistent, objective quality checks. The platform is designed for scalability across regions and industries, with future applications planned for returns handling and sustainability features.
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