Procurement that calculates. Inventory that fits.
PartsOS Planning replaces Excel-based forecasting and manual replenishment. Higher forecast accuracy. Lower inventory.
Clearer ordering decisions.
How it works
Three steps, clear responsibilities, no extensive onboarding.
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Data comes in
Upload master data, consumption history, stock levels, and lead times from your ERP using a standard template. SAP, Dynamics, ProAlpha, ABAS, or custom systems - all common platforms are supported.
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PartsOS calculates
Demand forecast per SKU, 52-week horizon. Seasonality, maintenance cycles, and special effects are factored in automatically.
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Review & approve order suggestions
Per part: quantity, timing, supplier. Optimized to your service level target for minimum inventory and maximum availability. Accept or decline with one click.
You know how forecasting works
But ERP systems and manual order calculations push you to your limits the moment your assortment grows or demand becomes more volatile.
Operational scheduling becomes strategic planning
Forecasting and procurement on a single platform—without the need for expert Excel knowledge or weeks of training. With PartsOS, your planning team is productive from day one.
AI that knows your demand
Our ML models detect seasonality, lead-time variability, lifecycles, and sporadic demand patterns—delivering forecasts that stand up to S&OP scrutiny.
From forecast to order
PartsOS doesn't stop at the forecast. For every SKU, you see a concrete order suggestion with quantity, timing, and supplier, plus the revenue at risk if you don't act. Accept or decline with one click.
Scheduling without Excel know-how
Forecasts and order proposals in a single system. Lead times, MOQs, and supplier terms are automatically factored in—accept or reject with a single click.
Where PartsCloud wins
The key differences between traditional ERP systems and PartsOS regarding setup, planning logic, and commercial terms—at a glance.
ERP-Systems
Setup & Time-to-Value
Setup without big IT project
Time-to-first-Value
Planning Intelligence
Forecasting model per SKU
Supply requests
End-to-End automation of demand forecasting
Usability & Commercials
Usability
Licence Model
Intuitive. Powerful.
Behind the clean interface are AI and machine learning models that incorporate every change into your forecasts.
The result: reliable foundations for every decision.
What Changes for You
KPIs that measurably improve instead of blocking each other.
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Higher Forecast Accuracy
Unlike traditional forecasts, seasonality, maintenance cycles, and special effects are factored in automatically. Customers report forecast accuracy improvements of 20–40%.
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Lower inventory, more free working capital
Optimized to your service level target - tailored per part, not averaged across the assortment. Inventory reductions of 15–25% are the rule, not the exception.
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Demand planning as a repeatable process
No hidden Excel knowledge that disappears when someone leaves. Your planning process becomes transparent, traceable, and transferable.
How customers use PartsOS
See how mechanical engineering companies, from Hymmen to Coperion to EUCO Rail, have used PartsOS to systematically improve their spare parts planning.
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EUCO Rail AG
Data-driven spare parts planning for maximum vehicle availability in rail transport
Learn more
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Coperion
Intelligent spare parts planning for greater planning reliability and parts availability
Learn more
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Weinig AG
AI-powered spare parts planning for a world market leader in woodworking machinery
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Hymmen GmbH
From manual planning to autonomous AI-driven spare parts management
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FAQs from Supply Chain- and Procurement Teams
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How does PartsOS integrate into our existing S&OP process?
PartsOS integrates into any S&OP cycle—whether weekly, bi-weekly, or monthly. The forecast output can serve as a data basis for S&OP meetings without requiring you to change existing processes.
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What forecast accuracy do customers typically achieve after 3-6 months?
Most customers see a 20-40% improvement over their previous forecast level within the first six months. The range depends on data quality and assortment complexity.
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How does PartsOS handle sporadic or volatile demand (lumpy demand)?
Lumpy demand is the rule, not the exception, in spare parts. PartsOS uses models specifically designed for sporadic demand patterns and selects the right model per SKU - not a one-size-fits-all approach.
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Can we enter minimum order quantities (MOQ), safety stock levels, and supplier conditions?
Yes. MOQs, safety stock levels, service level targets, and tiered supplier pricing are all part of the standard input. PartsOS factors them in automatically when optimizing order suggestions.
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How does PartsOS handle lead time variability?
Lead times are incorporated as a variable in the model. If you have historical lead time data, PartsOS learns from the variability and reflects it in the safety stock calculations.
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Are orders triggered automatically or only suggested?
PartsOS makes suggestions. You place the order with one click in the replenishment view. Final decision authority stays with your team, with all the benefits of automated groundwork.
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How do we handle ABC or XYZ classifications?
PartsOS automatically classifies SKUs by demand pattern and value contribution, and adapts the forecast and replenishment strategy per class. Manual ABC/XYZ maintenance is not required, but can be overlaid if you prefer your own logic.
Ready for predictable procurement?
Every business is different. What matters to us are your individual challenges. Let's talk about your untapped potential together.
Where does your spare parts planning stand today?
Four questions, two minutes. Afterwards, our team will provide an honest, personalized assessment, tailored to your specific situation.
Start for free
In 30 minutes, we'll walk through together what your trial phase looks like - scope, data setup, and start date - so that PartsOS works for your specific use case.