Manufacturing as a Service

Glossary page

Manufacturing as a Service (MaaS) refers to the use of networked manufacturing infrastructures for producing goods on-demand. The customer initiates the production of goods by the manufacturing companies through MaaS, and the order assignment is fully automated. This allows the customer to avoid spending significant amounts of time searching for suitable suppliers with the right skills and capacities. Instead, they can use an efficient algorithm that selects the best possible supplier based on certain factors. MaaS also benefits suppliers by allowing them to focus on their core manufacturing business while handing over the administrative work of customer acquisition and order processing to MaaS. For more information, please refer to the team landing page on Manufacturing as a Service (MaaS).

Catena-X Automotive Network e.V.

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Hanover Trade Fair 2026: "Germany must be the driving force"

The world’s leading industrial trade fair opens once again its doors in Hanover from April 20 to 24. Under the theme “Industrial Transformation,” companies will showcase the latest developments in AI, automation, energy, and digitalization. This year, we will be represented at Hannover Messe by Tim Höttges, Ferri, Elke Anderl, and many other colleagues at partner booths.

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Albert Hold

Apr 24, 2026

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T-Systems is now Catena-X-certified for Traceability use case

T-Systems’ Connect & Integrate solution is now officially Catena-X-certified for the Traceability use case under the latest Saturn release. This certification expands T-Systems’ growing portfolio of Catena-X capabilities and reinforces its role in enabling secure, interoperable data exchange across automotive supply chains. By supporting traceability, quality processes, and collaboration through standardized dataspaces, T-Systems helps companies gain transparency across complex value chains, improve compliance, and respond faster to supply chain disruptions while maintaining full data sovereignty within the Catena-X ecosystem.

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Andrea Garcia

Mar 09, 2026

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From six hours to 60 minutes: AI agent accelerates analysis work

Companies store enormous amounts of data, yet much of its potential often remains unused. Information is spread across dozens of databases and applications in different formats. Studies by McKinsey and the Microsoft Work Trend Index show that employees spend around a quarter of their working day simply searching for information. T-Systems addresses this data labyrinth: the platform “Talk to your data” searches, links, analyzes, and visualizes data with the help of an AI agent. Corporate knowledge becomes instantly accessible through a simple chat interface. Initial pilot projects already demonstrate significant efficiency gains. The time required for complex analyses has been reduced from six hours to less than 60 minutes.

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Sven Giesselbach

Mar 06, 2026