AI SUPPLY CHAIN INTELLIGENCE

AI agents that discover strategies humans can't design

Multi-agent simulation engine for supply chain optimization. Drop in your CSV, get AI-powered inventory management in minutes — not months. Validated on Walmart M5 real demand data.

LevyFly Network Simulation
84.50
AI Score
from 24.28 baseline
30,490
SKUs Managed
Walmart M5 dataset
1,600
Suppliers
power law network
65%
Excess Reduction
vs 736% untuned baseline

Why LevyFly?

Enterprise SCM costs $500K+ and takes a year. LevyFly gives you the same intelligence with a CSV upload.

Metric Standard (s,S) Policy LevyFly AI
Fill Rate 99.85% 99.95%
Excess Inventory 736% (untuned) 65%
Disruption Response Cascading failures Autonomous rerouting
Setup Time Months of consulting One command
Cost $200K+ Open source

Three Levels of Intelligence

Each level builds on the last. The third level is where magic happens.

01

Parameter Search

Score: 82.61

Grid search over 240 (s,S) policy combinations. Fast, interpretable, strong baseline. This alone beats most manual setups.

02

Demand Forecasting

67% fewer stockouts

Fine-tuned Chronos-2 time series model on your demand data. Adapts to seasonality, trends, and anomalies automatically.

03

Code Evolution

Score: 24.28 → 84.50

AI writes strategy code, evaluates it, iterates. Not parameter tuning — algorithmic invention. The AI discovers strategies humans never designed. (Karpathy autoresearch pattern)

Production-Scale Complexity

1,600 suppliers, power law distribution. 8 giants control 8% of all products.

Supply Chain Network Visualization

Chord diagram: supplier tiers (left) → stores (right). Band width = supply volume.

View Interactive Demo Report →