Volkswagen extends AWS partnership to advance factory digitization with artificial intelligence

Dr. Oliver Blume hairman of the Board of Management of Volkswagen AG Volkswagen Group
Dr. Oliver Blume hairman of the Board of Management of Volkswagen AG - Volkswagen Group
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Volkswagen Group has announced it will extend its partnership with Amazon Web Services (AWS) for another five years to advance the Digital Production Platform (DPP), also known as the company’s “factory cloud.” The DPP is a digital infrastructure that connects Volkswagen’s global manufacturing operations, supporting the rollout of artificial intelligence and IT systems across 43 sites in Europe, North America, and South America. The company operates a total of 114 production facilities worldwide.

The collaboration aims to make vehicle production more flexible and efficient while reducing IT costs and accelerating time-to-market for new models. The DPP was initially created as an industrial partner network but has since evolved into a core digital link integrating order intake, logistics, and manufacturing data. This integration is seen as crucial for expanding the use of AI throughout Volkswagen’s operations.

“Our ambition is to become the global automotive tech driver. To achieve this, we are consistently digitalizing and connecting all areas of our company. Our goal is to bring products and technologies to our customers even faster. The Digital Production Platform plays a key role in this: it is the digital nervous system of our factories – and the key to a future of AI-powered production,” said Hauke Stars, Member of the Board of Management for IT at the Volkswagen Group.

A notable example of new technology deployed through DPP is “Guided Vehicle Completion,” which optimizes assembly coordination at 13 plants across Volkswagen, Audi, and Volkswagen Commercial Vehicles. Standardized systems hosted on AWS have contributed to medium-term savings in the double-digit million range for Volkswagen by reducing manual workloads and minimizing risks such as production line stoppages.

Volkswagen now uses over 1,200 AI applications beyond just manufacturing processes. With AWS services like Amazon SageMaker, the group develops AI models for computer vision tasks that improve quality control and help reduce costs. At its plant in Poznań, Poland, AI-driven energy management has led to a 12 percent reduction in electricity consumption and lower CO₂ emissions.

At German sites including Wolfsburg and Ingolstadt, real-time image analysis powered by AI supports quality assurance by ensuring components are correctly fitted during production. These advancements enable quicker detection and correction of errors.

Christian Vollmer, Member of the Brand Board of Management of Volkswagen for Production and Logistics and Member of the Extended Group Executive Committee stated: “Our high-performance vehicle production is a key driver of success for the Volkswagen Group and its brands. By more closely integrating development and manufacturing through a shared, AI-capable data structure, we are creating the conditions to bring our vehicles to customers even faster.”

Looking ahead, Volkswagen plans to further develop DPP capabilities for software-defined vehicles (SDVs), where most functions are managed via software updates during manufacturing. This effort will be supported by its joint venture with Rivian Automotive focused on next-generation electronics architecture. Existing AI solutions like KI4UPS can be adapted to these future requirements.

“Volkswagen Group is setting new standards for smart manufacturing,” said Kathrin Renz, Vice President of AWS Industries. “Our five-year extended collaboration combines AWS’s cloud infrastructure and purpose-built IoT and machine learning services with Volkswagen’s manufacturing expertise. Together, we’re fast-tracking AI solutions that will help unlock new levels of innovation throughout Volkswagen Group’s manufacturing operations.”

In coming years, Volkswagen intends for DPP to represent significant portions of its production system while aligning with industry standards such as Catena-X.



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