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PartsOS Forecasting
How Weinig AG used PartsOS to reduce manual planning effort by 85%, increase spare parts availability by 30%, and cut the order backlog by 56%. Step by step, without interrupting ongoing ERP projects.
-85%
less manual planning effort
+30%
higher spare parts availability
-56%
reduced order backlogs with AI-backed stock optimization
Weinig AG is a globally leading manufacturer of machines and systems for solid wood and wood-based panel processing. With approximately 2,500 employees and multiple independent business units, Weinig is a prime example of industrial mechanical engineering at the highest level. Yet this very size and structure became the root of a serious problem in spare parts planning.
Different business units operated with different planning and procurement methods.
The result: redundant inventories, unclear responsibilities, and a lack of transparency regarding which parts were held where and in what quantities. While certain spare parts were unavailable when needed and customers waited on deliveries, excess stock was piling up elsewhere, with significant write-off risk.
Key pain points before PartsOS:
SKU-specific planning instead of blanket safety stock levels
Using PartsOS, Weinig implemented SKU-specific demand forecasting. Instead of relying on blanket assumptions, the system calculates figures individually for every single part number: What is the historical demand? How volatile is it? How is it expected to evolve in the coming periods?
Phased rollout without jeopardizing ongoing projects
Since Weinig was simultaneously running ERP transformation projects, a smooth, incremental implementation process was crucial. PartsOS was rolled out business unit by business unit, starting where the need for improvement was greatest. A tailored integration roadmap was developed for each step to ensure synchronization with the ongoing ERP projects.
Implementation was carried out through close, collaborative partnership—addressing both functional and methodological aspects—rather than as a purely IT-driven project.
Fundamental overhaul of planning and inventory management strategies
In addition to introducing the tool, Weinig worked with PartsCloud to revise its inventory management strategy based on data: procurement parameters, minimum stock levels, and supplier strategies were recalibrated using PartsOS demand forecasts—moving away from reliance on empirical values or blanket markups.
Improvements are measurable across all three original pain points:
Manual planning effort: −85%
Spare parts availability: +30%
Order backlog: −56%
The automation of planning and procurement processes has significantly reduced manual workload.
“PartsCloud is a strategic partner for us. Together, we are defining the path toward a modern spare-parts planning approach - with the goal of reducing manual processes and improving availability. What we value most is the collaboration itself: highly competent, pragmatic, collaborative, and rooted in a genuine understanding of mechanical engineering.”
Head of Lifetime Services
Weinig AG faced a classic planning dilemma in mechanical engineering: excess inventory in some business units, simultaneous stockouts in others, high manual planning effort, and a lack of cross-unit inventory transparency, all while running parallel ERP transformation projects that could not absorb additional IT complexity.
Since go-live in February 2026, Weinig AG has achieved: −85% in manual planning effort, +30% in spare parts availability, and −56% in order backlog, measurable across all three original pain points simultaneously, not as a trade-off.
PartsOS calculates individually for each part number: historical demand, volatility, and the data-justified safety stock level. Instead of blanket safety buffers, every SKU receives a tailored planning strategy, consistent and transparent across all business units and locations.
See how other industrial companies have transformed their spare parts planning with PartsCloud.
How Coperion used PartsOS Planning to virtually eliminate impending stockouts on critical components, increase parts availability by over 15%, and achieve full ROI within just three months.
How EUCO Rail is transitioning, together with PartsCloud, from reactive, spreadsheet-based planning to proactive, AI-powered spare parts management, ensuring critical components are reliably available across all locations.