supply_chain · manufacturing · workflow
thyssenkrupp Rasselstein uses Celonis to gain end-to-end supply chain transparency and prevent material shortages
thyssenkrupp Rasselstein had no visibility into parent company Steel Europe's systems and operated across more than 300 internal systems that created data silos, leaving production plans vulnerable to raw material delays and making proactive supply chain management nearly impossible.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Connect cross-company supply chain data
Near real-time data from Steel Europe is connected with Rasselstein's Production Planning systems inside Celonis, creating what the team calls the 'connected supply chain'.
Tools used
Celonis Process Intelligence PlatformCelonis Action FlowsSAP · partnerOracle · partnerServiceNow · partner
Outcome
Rasselstein achieved drastically improved delivery date prediction, lower safety stocks, and predicted working capital improvements in the double-digit million range, while automating manual purchase order creation to save effort and raise productivity.
Results
Time savedExtremely precise
VolumeDrastically improved
Running since2022
Grounding & classification
Source type: vendor customer story
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anomaly detectionpredictive analyticspurchase ordermetric backednamed customerproduction runtime claimedsource backedtools describedworkflow describedmanufacturingaccuracy improvementcost reductioncycle time reductionemployee productivityvendor customer storyfinance opsorder processingprocurementsupply chainautonomous resolutiondata sync enrichmentmonitor detect alert