Internal Parts Planning for OEMs
The Engine Powering Your After Sales Operations
Predict the right parts, in the right locations, at the right time - using AI-driven forecasts embedded into internal OEM planning workflows.
Celonis Parts Planning leverages the ClearOps After Sales Intelligence Platform to bring together demand signals, installed base data, and supply constraints, so OEM planners can make better internal stocking decisions across central and regional operations.
OEM teams can also leverage Celonis process mining to uncover process bottlenecks, improve planning flows, and accelerate more consistent decision-making.
Market Signals
Parts planning is becoming a core growth lever for OEMs
Global OEM studies point to sustained investment and stronger revenue expectations from aftermarket performance:
~80%
OEM investment momentum is strong
OEMs plan to increase aftermarket investment over the next five years.
30-50%
Service revenue share is expanding
Manufacturers expect service-share revenue to rise from roughly 10-30% today.
25% to 40%
Outcome-based models are scaling
Organizations project a rise in outcome-based service revenue mix over five years.
Source: Global OEM studies and recent aftermarket research
Capabilities
Capabilities inside Celonis Parts Planning
From long-term planning to daily replenishment, this solution gives planners the tools they need to balance service levels and working capital.
Forecasting
AI-powered demand forecasts at part and location level that account for installed base, seasonality, and lifecycle behavior.
Inventory Planning
Multi-echelon inventory policies that help you set the right stocking parameters for central, regional, and dealer locations.
Replenishment Planning
Automated replenishment suggestions that trigger transfers or orders based on policy, forecast, and real-time stock.
Operating Model
Planning, user journey, and KPI metrics for internal OEM teams
Planning
Build forecast-driven internal planning cycles for central, regional, and product-line teams with consistent policies and approval logic.
User Journey
Move from signal review, to recommendation validation, to replenishment approval in one guided user journey for OEM planners.
KPI Metrics
Track fill rate, inventory turns, excess stock, and planner response time to manage planning quality and business impact.
User Journey
Example user journey for internal OEM planners
Step 1
Review signals
Planners review forecast changes, process bottlenecks, and stock risk by region and part family.
Step 2
Validate recommendations
Teams validate AI recommendations, adjust exceptions, and align approvals across planning and procurement owners.
Step 3
Execute and monitor
Approved replenishment actions are executed and tracked with closed-loop KPI monitoring for continuous improvement.
KPI Metrics
Example KPI metrics teams can track
Fill Rate
92% to 96%
Measure service-level improvement on critical parts.
Inventory Turns
+18%
Track healthier stock movement across OEM locations.
Excess Stock
-22%
Reduce tied-up working capital and aging inventory.
Planning Cycle Time
-35%
Speed up decisions from review to execution.
Outcomes
Higher fill rates with less excess stock
Internal OEM planning teams use the same underlying intelligence for every stocking decision, improving service readiness while keeping working capital under control.
- - Improved first-fill rates across locations.
- - Reduced obsolete and excess inventory.
- - More predictable parts availability for service teams.
How Celonis Parts Planning fits into the platform
This solution builds on Data Connectivity to bring together demand, supply, and asset information in the ClearOps After Sales Intelligence Platform, and feeds internal OEM recommendations into execution teams such as procurement, logistics, and service operations.
The Era of Manual Parts Planning Is Over
The Old Way
Data silos across different software solutions. Spreadsheets. Manual work.
- • Data silos across disconnected software solutions
- • Excel spreadsheets
- • Manual inventory tracking and ordering work
The New Standard
Digitalized. AI-driven. Automated.
- • Digitalized workflows
- • AI-driven technology
- • Automation that’s fast & reliable
The gap is widening. Which side are you on?
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