Thyssenkrupp is developing its own AI
Thyssenkrupp Materials Services is showing that the introduction of artificial intelligence can be achieved even without buying in solutions from outside: “alfred”, the AI developed in-house, is set to make digitized processes in the corporation more efficient.4 Jul 2019 Kai Tubbesing
In order to manage its global logistics network dynamically, the German industrial corporation Thyssenkrupp is opting for an in-house solution which has been created in cooperation with Microsoft . The “alfred” artificial intelligence solution is to become the central collection point for all information relevant to the company in the medium term and make the processes around the delivery chain more flexible. That could ultimately work to the benefit of the customer – through better adaptation of prices and quality to specific requirements and through faster delivery.
Already since its introduction in 2019, the AI solution has optimized all transport routes and is providing faster availability of materials at the company’s sites. It is based on Microsoft Azure Machine Learning and in future will process and analyze around 14 million order items a year, identify optimal delivery routes and determine the material needs of individual industries and companies at specific locations. Thyssenkrupp’s in-house developments also include the IIoT platform toii , by means of which the company is networking its machine park.
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