SIMULATION REPORT

28-Day Simulation Report

Walmart M5 Dataset • 30,490 SKUs • 5 Disruption Scenarios

Executive Summary

Key performance metrics from 90-day validation run with Evolved Agent policy

84.50
AI Score
+248% vs baseline
99.95%
Fill Rate
2.26M units fulfilled
65%
Excess Reduction
vs 736% untuned
6
Stockouts
from 2,307 naive

Daily Action List

Operations dashboard showing autonomous agent decisions and recommended actions

Disruption Cascade Visualization

Giant supplier failure propagation: Naive policy vs Evolved Agent autonomous rerouting

Naive Policy CASCADING FAILURE
S1 S2 S3 W1 W2 Suppliers Warehouses Stores
79
Nodes Affected
63.7%
Fill Rate
2,307
Stockouts
Evolved Agent AUTONOMOUS REROUTE
S1 S2 S3 W1 W2 Suppliers Warehouses Stores REROUTE
1
Nodes Affected
99.8%
Fill Rate
25
Stockouts

Policy Comparison

Performance scores across 5 policies and 5 disruption scenarios

What-If Simulator

Explore how parameter changes affect supply chain performance

Safety Stock Days 7 days
Supplier Reliability 95%
Simulated Impact
99.95%
Fill Rate
65%
Excess Ratio
$2.4M
Annual Cost

Fill Rate Timeline

30-day fill rate with disruption events marked

Fill Rate
Disruption Event