Most supply chain “AI” projects stop at a dashboard that shows next month’s demand in a nicer color. Planners glance at it, then reload the Excel file they trust. Predictive analytics only creates value when a forecast changes a decision: buy, transfer, expedite, or wait.
Start with the decision, then pick the model
- Replenishment: safety stock and reorder points by SKU-location, refreshed weekly.
- Allocation: who gets scarce product when a plant slips.
- Expedite spend: which late POs actually threaten revenue.
- Network design: slower, scenario-based models—not daily predictions.
Forecast quality without the academic fog
Track bias and WAPE at the level you buy and ship—not only at corporate total. A nationally perfect forecast can still wreck a regional DC. Separate promotions, new product introductions, and one-off project demand so the model is not punished for human chaos.
Minimum forecast operating metrics
| Metric | Why it matters | Cadence | Owner |
|---|---|---|---|
| Bias by ABC class | Chronic overbuy hides in averages | Monthly | Demand planning |
| WAPE at SKU-DC | Drives safety stock math | Weekly | Planning + data |
| Forecast value added | Stops worse overrides | Monthly | S&OP chair |
| Expedite $ vs plan | Shows if predictions change behavior | Monthly | Procurement |
Connect ERP transactions to the model
If lead times in the ERP are folklore, your safety stock formula is folklore. Clean item master lead times, freeze fences, and lot sizes before you celebrate a new algorithm. Predictive tools amplify master data; they do not forgive it.
Supplier risk is a prediction too
Blend structured signals (OTIF, defect PPM, financial scores) with unstructured news only when a human can act—dual source, buffer, or qualify an alternate. A “risk heat map” with no playbook is interior decoration.
Conclusion
Move from forecasts to decisions by tying every model to a replenishment policy, an allocation rule, or an expedite threshold inside the ERP. Measure whether expedite spend and inventory turns actually move. That is the difference between AI theater and an operating system for supply chain cash.