Supply Chain Intelligence Platform

Optimize your global logistics network with AI-powered Monte Carlo simulations. Make data-driven inventory decisions that maximize profit while minimizing risk.

Configuration Panel

Supply Chain Parameters
Configure your logistics network variables for accurate simulation

Average Daily Demand (Units)

Expected daily shipment volume

Demand Volatility (σ)

Standard deviation of demand fluctuation

Unit Cost ($)

Procurement cost per unit

Selling Price ($)

Market price per unit

Salvage Value ($)

Recovery value for excess inventory

Simulation Iterations

More iterations = higher accuracy

Order Quantity (Units)

Calculating optimal quantity...

Simulation Results

Ready to Optimize
Configure your parameters and run the simulation to see profit distributions and risk analysis

Profit Sensitivity to Order Quantity

This analysis shows how your expected profit changes with different order quantities

- Optimal Order

- Max Profit

- Your Deviation

Scenario Comparison Dashboard

No scenarios saved yet

Run simulations and save them to compare strategies