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P.O. Box, 45063 Essen

www.thyssenkrupp-materials-services.com

E-Mail: michael.ridder@thyssenkrupp.com

Phone: +49 (201) 844- 534416

Publications

Pioneering role in aerospace: Materials Services introduces state-of-the-art digital supply chain

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/ins   “DESCA” creates data transparency along the entire supply chain Agile ERP platform for smart Industry 4.0 applications Implementation drives strategic development “Materials as a service”

Next milestone in digital transformation: thyssenkrupp presents artificial intelligence "alfred”

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/ins    thyssenkrupp Materials Services relies on Microsoft for in-house solution development AI as an essential component of the holistic digitalization strategy Customers benefit from individualized offers and more efficient processes

thyssenkrupp Materials Services is now “omnifit” – digital transformation of the materials business moves to the next level

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World’s biggest virtual warehouse: Virtual presentation of more than 150,000 products and services providing fully digital access to 3.5 million m² of storage space at 271 international operating sites Omnichannel in practice: Cross-channel access to wide spectrum of materials and services for 250,000 customers worldwide   /ins  thyssenkrupp Materials Services is making rapid advances with its digital transformation: The thyssenkrupp Group’s materials experts are digitizing their entire range and consolidating it in the world’s biggest virtual warehouse. With more than 3.5 million square meters of storage space at 271 operating sites around the world, Materials Services is now closer than ever to its customers and offers round-the-clock access to more than 150,000 products and services through its new omnichannel structure, enabled by a powerful, self-developed AI (Artificial Intelligence) solution.

Breakthrough in the digital transformation: thyssenkrupp connects machinery

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/ins . •    IIoT platform “toii” is an in-house development that connects machines of different makes and generations         •    Due to predictive maintenance the platform is also supposed to forecast the necessity of machine services in the future         •    Processes can be planned and coordinated optimally and flexibly