Edwards Supply Chain Decision Intelligence Layer

AI-powered insights on top of existing analytics investments

What-If Simulator

Test decisions before you make them

Adjust operational levers and see the predicted financial impact, KPI shift, risk reduction and confidence in real time.

Scenario · Baseline · W22 2026
Net Financial Impact
+$526K
benefit − cost
Expected Benefit
+$858K
Implementation Cost
+$332K
Confidence
84%

Scenario Levers

Move the sliders to model trade-offs

Increase overtime
10 %
0Drives: OTIF30
Expedite supplier deliveries
2 POs
0Drives: Coverage Days10
Evaluate capacity balancing across plants
12 %
0Drives: Backlog reduction25
Increase inventory coverage
3 days
0Drives: Service Level10
Improve Frozen Period Compliance
20 %
0Drives: Schedule Stability40

Before / After

Predicted KPI movement

OTIF
91.2%93.7%
Inventory Coverage
14 d20 d
Backlog
$1.9M$1.22M
Schedule Stability
91%94%
Risk Reduction
53%
AI Scenario Summary

This scenario delivers +$526K net impact with 84% confidence. Primary value comes from expediting critical POs and rebalancing capacity across plants, while overtime stabilizes near-term OTIF.