Home Case Studies Predictive Supply Planning on SAP
Blueprint
Blueprint: Predictive supply planning on SAP
Demand signals, planner dashboards and supplier alerts connected to SAP — so planners spend their time deciding, not compiling spreadsheets.
Last reviewed: 29 September 2026
Notice
Illustrative reference architecture. Not a client engagement. Target ranges are validated for your business in an AI Value Diagnostic.
Industry
Automotive, industrial and consumer manufacturing with dealer or distributor networks
Platforms
SAP ERP and planning modules, Power BI or equivalent, orchestration for alerts
Typical timeline
12–16 weeks to first production wave
Scope
Demand signals, planning dashboards, supplier alerts, exception management
- Planning cycle from days to hours
- Fewer stockouts across the dealer or distributor network
- Lower inventory holding cost
- Faster supplier response to changes
Typical target ranges, validated in diagnostic.
Planning in spreadsheets around the ERP
A manufacturer with plants and a dealer network plans supply from spreadsheets exported from several SAP modules. Each planning cycle takes days of data compilation. Dealers run out of fast-moving items while warehouses hold slow movers, and suppliers learn about changes late.
How it works
1
Unify data
Sales history, open orders, inventory, lead times and supplier performance pulled from SAP into one planning dataset.
2
Generate demand signals
Forecasting models trained on historical sales and seasonality produce demand ranges by product and region.
3
Flag exceptions
The system highlights projected stockouts, excess stock and supplier risks, ranked by impact.
4
Support decisions
Planners review recommendations in a dashboard and approve, adjust or reject them.
5
Trigger actions
Approved changes create purchase requisitions or supplier alerts in SAP and email.
6
Learn
Forecast accuracy and planner overrides are tracked to improve the models.
Controls built in
- Planners approve every order change above agreed thresholds
- Forecast accuracy reported monthly by product family
- Model changes tested against historical data before release
- Audit trail of recommendations, approvals and overrides
Is this blueprint right for you?
- Does each planning cycle take more than two days of data preparation?
- Do you see stockouts and excess stock at the same time?
- Do you have at least two years of reasonably clean sales history?
- Do suppliers regularly receive changes late?
- Do planners rely on personal spreadsheets?
Validate this blueprint against your planning data.