THE STORY
How thyssenkrupp Aerospace transformed replenishment decisions
Leaders from thyssenkrupp Aerospace and pacemaker.ai share how they tackled one of supply chain's hardest challenges.
Proven Impact — Aerospace Supply Chain
How thyssenkrupp Aerospace improved supply reliability without increasing inventory
From fragmented, manual planning to AI-supported replenishment decisions — fewer stockouts, across 135,000 sales SKUs globally.
36%
*
Fewer Stockouts
Up to 33%
*
Cost Savings
550k+
Better than manual
Daily Reorder Recommendations
800k+
Demand Data Points
Historical signals powering every recommendation
250k+
Supplier Records
Performance data analysed continuously
900 Days
Lead Time Range
AI handles extreme complexity
Replenishment decisions are among the most complex decisions in our supply chain — thousands of trade-offs every day. Together with pacemaker.ai, we changed how our teams make these decisions. The result: better supply reliability and less capital tied up in inventory across our global operations.
Luisa Langer
VP Global Procurement · thyssenkrupp Aerospace
Why this matters
At 135,000 sales SKUs across global operations, even marginal improvements in decision quality create measurable impact at scale.
The complexity
Average lead times of 60+ days — individual products reaching up to 900 days. Safety stock of 60+ days must be guaranteed at all times.
The shift
From static reorder points to 550,000+ AI-generated recommendations, recalculated daily — every SKU, every day.
Who is this for
Built for complex, high- variety supply chains
Replenishment Decision Intelligence works where traditional planning tools reach their limits. Built for one of the most demanding supply chains in the world — proven to work there. If it works for aerospace, it works for your supply chain.
10,000+ SKUs
Too many materials to manage manually — AI handles the complexity at scale.
Long, volatile lead times
Weeks or months of lead time with shifting supplier performance — static reorder points don't cut it.
Distributors & materials providers
Operating between manufacturers and end customers — where availability and capital efficiency must balance daily.
The Full Story
From fragmented planning to AI-driven decisions
How thyssenkrupp Aerospace tackled one of global supply chain's hardest challenges — and what it means for you.
The Challenge
In global aerospace supply chains, replenishment decisions are rarely straightforward.
Material planning is often fragmented across regions and systems, making it difficult to take consistent decisions at scale. Demand signals change quickly, lead times shift and inventory decisions must constantly balance availability and capital efficiency.
The result is often: inconsistent global planning decisionsunreliable demand signalsinefficient inventory levels and tied-up capital.
The Approach
Together with pacemaker.ai, thyssenkrupp Aerospace introduced AI-driven replenishment decision intelligence.
The system processes millions of data points across demand signals, lead times and supply constraints to generate daily order recommendations at SKU level.
This enables teams to: align replenishment decisions globallyincrease transparency in trade-offsmake faster and more consistent decisions.
The Outcome
By introducing AI-supported replenishment decision intelligence, thyssenkrupp Aerospace improved both supply reliability and inventory efficiency across its global operations.
The project demonstrates how AI can move beyond forecasting into supporting the operational decisions that actually shape supply chain performance.
42k
Base Materials
135k
Sales SKUs
2.500
Supersessions
Monthly
Planning Horizon
Voices from the Project
In their own words
I don't need a system that decides for me. I need one I can trust. Especially when supply gets tight or demand spikes. I see the logic, I understand the trade-offs, and I stay in control.
Simon Bowen
Head of Purchasing & Inventory · thyssenkrupp Materials UK
With pacemaker.ai we're bringing AI-driven decision intelligence into real industrial supply chains — and proving that it works in practice.
Patrick Marous
Member of the Executive Leadership Team of thyssenkrupp Materials Services & Global CEO Business Unit Solutions
CSRD
See how AI-driven replenishment works in practice
In 30 minutes, we walk through the solution live — no slides, no pitch. Just show you how it works and answer your questions.