Practical knowledge for parts planning, wherever it matters.
Free whitepapers for After Sales, SCM, and Service leaders at companies with long-lived machinery and equipment - with real-world examples from Weinig, Coperion, and Fischer TireTech.
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Up to 79%
Reduction in manual planning effort for spare parts procurement & disposition
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~30 %
Lower inventory holding costs through AI-driven demand forecasting
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Up to 97 %
Spare parts availability secured during peak season and for slow-moving, sporadic-demand SKUs
Industry-specific guides for After Sales, SCM, and Service
AI-powered parts planning for construction equipment, food & packaging, machine tools, commercial vehicles, and general machine building - with real-world metrics that show what actually works.
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08.10.2026
Capital tied up in spare parts inventory: how much money is sitting on your shelves
07.10.2026
Why the reorder point formula fails for spare parts
08.09.2026
What Is PartsOS Forecast? The Demand Forecasting System at a Glance
01.09.2026
Not Every Wrong Forecast Costs the Same: The PC-Index Explains Why
25.08.2026
How PartsOS Forecast Decides Which Parts a Planner Actually Needs to Review
14.07.2026
Slow Movers in Spare Parts Planning: Rarely Ordered, Often Critical
10.06.2026
What does intermittent demand mean in spare parts planning?
03.06.2026
Reactive vs. Proactive Spare Parts Planning: What the Difference Costs Your Business
27.05.2026
What happens when a service technician arrives on site and the part is missing?
27.04.2026
Service Pioneers Summit 2026: Es bleib ein klares Bild
23.04.2026
Machine downtime can cost up to €147,000 per hour - so why does it keep happening?
15.05.2025
AI in Mechanical Engineering: What Spare Parts & Service Teams Actually Need to Know | PartsCloud
06.05.2025
How AI Agents Are Redefining Mechanical Engineering
05.02.2025