ThyssenKrupp Rasselstein in Andernach, Germany is one of the largest manufacturers of packaging steel in Europe. The company, with around 2,400 employees (as of 2023), operates in a market segment that is characterized by a high level of complexity and enormous cost and competitive pressure. To address the complexity problem and reduce costs, the company is pushing ahead with digital transformation and process optimization, in particular the development of a data-supported, networked supply chain. The steel manufacturer is using the process intelligence platform from German provider Celonis for this purpose.
The process intelligence platform combines process data with business context to create a digital twin of the steel company’s supply chain. This is done with the help of process mining and artificial intelligence. Celonis is now used in over ten processes at Thyssenkrupp Rasselstein and supports more than 50 use cases. These include procure-to-pay (P2P), order-to-cash (O2C), inventory and warehouse management and receivables management.
Gaining a centralized view of processes
“Before we implemented Celonis, we had a limited overview of the processes along the supply chain. This made it difficult to react quickly to bottlenecks,” explains Michael Pullen, Chief Financial Officer of Thyssenkrupp Rasselstein. “Today, we have a real-time view of our processes, which allows us to intervene in the event of problems, reduce excess stock and increase delivery reliability. This allows us to make more informed strategic decisions and ensure seamless production planning.”
