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For SCM and procurement teams who derive precise, SKU-accurate forecasts from their ERP data — without Excel workarounds or gut feeling.
But ERPs and manual order calculations hit their limits as soon as the product range grows or demand becomes more volatile.
Weeks of work, error-prone, and no one really trusts the numbers.
Forecast and ordering decisions are based on different, unsynchronized figures.
Inventory swings between overstock and stockout.
Forecasting and procurement in one platform - no Excel insider knowledge and no weeks-long training. With PartsOS, your disposition works productively 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.
Forecasts your ERP can act on immediately
Once you release a forecast, it goes straight into your ERP as a planned requirement; your existing MRP run takes it from there, with all the lead times, MOQs, and supplier terms it already knows.
Planning without Excel know-how
Forecasts and exports, in a single system - no spreadsheets, no manual re-entry. Review what PartsOS recommends, approve it with a click, and it's on its way to your ERP.
Behind the clean interface are AI and machine learning models that incorporate every change into your forecasts.
The result: reliable foundations for every decision.
KPIs that measurably improve instead of blocking each other.
Unlike traditional forecasts, seasonality, maintenance cycles, and special effects are factored in automatically. Customers report forecast accuracy improvements of 20–40%.
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.
No hidden Excel knowledge that disappears when someone leaves. Your planning process becomes transparent, traceable, and transferable.
For every single SKU, PartsOS tests over 52 forecasting models in backtesting and selects the most accurate one. With every new planning run, the forecast is further refined.
To this end, PartsOS automatically selects the most suitable method for each SKU—deterministically and transparently.
Explains the results in plain language and answers your questions.
Your ERP manages what's there.
PartsOS shows what's needed next.
Task
Your ERP
Manages inventory, orders, and master data in one place.
PartsOS
Delivers the demand forecast per SKU over 12 months.
Forecasting
Your ERP
Plans according to fixed, consistent rules.
PartsOS
Selects the most accurate of up to 100 models for each part.
Data foundation
Your ERP
Works with your master and transaction data.
PartsOS
Also factors in consumption patterns and additional signals.
Freshness
Your ERP
Fixed logic, set up once.
PartsOS
Refines the forecast with every planning run.
Handoff
Your ERP
Orders and books as usual.
PartsOS
Feeds the released forecast directly back into your ERP.
Three steps, clear responsibilities, no extensive onboarding.
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.
Our Smart Upload automatically checks your data sets for gaps and inconsistencies and gives you direct feedback like an assistant — for example, if more parts were delivered than your booked quota allows. Only afterward do you review the results together with our team and start your planning run for the quarter.
Per part: the demand forecast for the next 12 months, optimized for your service-level target. You go through the forecasts at your own pace, confirm what should be transferred into your procurement, and export the approved forecasts.
For companies with long-lived machines and equipment
Machines that run for 20–30 years need planning that thinks that far ahead. PartsOS shows which parts will actually be needed over the next 12 months, before a rush order eats the margin that after-sales is meant to build.
Broad ranges and thin margins leave no room for capital tied up on the wrong shelf. PartsOS shows which parts are worth stocking and counts dead capital honestly instead of hiding it.
When parts supply runs on a quick call to the dealer, the forward view is missing. PartsOS tells you which parts the fleet will need in the coming weeks, before a vehicle ends up in the workshop for want of one.
Certified assemblies and a shrinking supplier base leave no room for short-term planning. PartsOS gives you a 12-month view, so the order goes out before the bottleneck appears.
With serialised rotables and global pooling arrangements, an early view of demand helps secure availability without tying up more capital than necessary.
Nobody enjoys clearing out stock that hasn't moved when nobody can say what's still genuinely needed. PartsOS shows every part honestly, even when the answer is "too little history" instead of inventing a number.
Critical components with over a year of lead time leave no room for reactive planning. PartsOS gives you the 12-month view a growing installed base needs.
When hundreds of technicians work out of rolling stockrooms to meet SLA deadlines, every missing part counts twice. PartsOS shows what's actually needed before an appointment falls through because of it.
When availability is contractually guaranteed and subject to documentation requirements, gut feel isn't enough. PartsOS provides a traceable basis you can explain at any time.
When the parts warehouse is the most profitable part of the business, seasonal demand is worth a close look, before a customer is already waiting.
See how mechanical engineering companies, from Hymmen to Coperion to EUCO Rail, have used PartsOS to systematically improve their spare parts planning.
Data-driven spare parts planning for maximum vehicle availability in rail transport
Learn more
Intelligent spare parts planning for greater planning reliability and parts availability
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AI-powered spare parts planning for a world market leader in woodworking machinery
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From manual planning to autonomous AI-driven spare parts management
Learn more
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.
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.
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.
If you have historical lead-time data, PartsOS factors that variability into how confidently it forecasts demand for that part. Safety stock policy itself is still calculated by your ERP, using the parameters already configured there, PartsOS doesn't replace that.
PartsOS delivers the demand forecast per SKU - the basis for your procurement decision. What you order from it is decided and triggered as usual in your ERP or procurement system. This way, decision-making authority stays fully with your team.
PartsOS automatically classifies SKUs by demand pattern and value contribution and adjusts the forecasting strategy per class.
No. That logic already lives in your ERP's MRP run, and it stays there. PartsOS only needs consumption history and master data to forecast demand. Once you release a forecast, your ERP applies its own MOQ, supplier-term, and safety-stock rules exactly as it does today.
Every company is different. What matters to us are your specific challenges. Let’s discuss your untapped potential.
We respond to your inquiries, questions, or comments within 24 hours.
Let’s find out together! Schedule a no-commitment initial consultation to learn more about our offering and the potential for collaboration.