Spare-parts planning
Hold spare parts according to actual demand.
Spare-parts planning forecasts demand from machine data, maintenance plans and historical consumption, reducing overstock and shortages.
- Higher availability
- Cost reduction
- Better planning
spare-parts inventory
stockouts
payback
availability
Calculated from reduced inventory costs and fewer unplanned downtimes.
- 01
Data integration
Consolidate data from ERP, MES and further sources for Spare-parts planning.
- 02
Data quality
Clean, harmonise and validate data for plausibility.
- 03
Model development
Train and validate the Spare-parts planning model on historical data.
- 04
Pilot
Pilot Spare-parts planning in one area and collect feedback.
- 05
Rollout
Scale the solution and integrate it into operational processes.
Steps
Data sources
Stakeholders
From first data access to production – every step delivers a tangible interim result.
Inventory data
Stock levels, movements and locations.
Maintenance data
Faults, maintenance and spare-parts consumption.
Machine data
Condition, parameters and production counters.
Supplier data
Lead times, certificates, prices and ratings.
ERP data
Master and transaction data from ERP.
Order data
Customer orders, line items and dates.
Maintenance
Plans maintenance and spare parts precisely.
Purchasing
Improves negotiations and supplier selection.
Controlling
Quantifies effects and supports budgeting.
IT
Builds on a scalable and secure data infrastructure.
Higher availability
Cost reduction
Better planning
Higher efficiency
More transparency
With a solid data foundation this use case gets faster, cheaper and far more stable.
Central data platform
Real-time data integration
Scalable analytics pipelines
Reusable data products
Inventory optimisation
Forecasts drive inventory and procurement.
Predictive maintenance
Sensor data provides wear indicators.
Demand forecasting
Data flow enables more precise forecasts.
Management Cockpits
Revenue, margin and cash at a glance – updated daily instead of once a month.
Finance & Controlling Reporting
Month-end close and cost-center reports without an Excel marathon at the start of the month.
Sales & CRM Analytics
Make pipeline, forecast and customer potential visible instead of guessing in the CRM.