RSI uses Monte Carlo simulation to generate thousands of possible future demand scenarios, allowing us to quantify real-world uncertainty and determine the optimal inventory and reorder rules for each item at each location.
Real demand is messy. Peaks, troughs, and variability rarely fit simple formulas. By simulating many plausible futures instead of relying on averages, RSI identifies the inventory strategy that performs best across uncertainty. This leads to higher service levels, lower stockouts, and more efficient working capital.
Suppose an item has highly volatile weekly demand. Instead of assuming “typical” demand, RSI generates thousands of weeks of simulated demand based on the item’s statistical pattern (trend, seasonality, variability, intermittency).
This turns uncertain demand into a clear, data-driven stocking decision.
Monte Carlo simulation lets RSI optimize inventory based on how demand actually behaves, not how we wish it behaved, resulting in more resilient, predictable inventory performance.
Set up a call with one of our team and we’ll walk you through a demo, identify trouble spots in your business, and see how implementing RSI can transform your business through data-driven inventory optimization.
