Replenishment intelligence for merchants. See what to order, when to order it, and how much revenue is at risk.
Inventory overview
| SKU ▲▼ | Stock ▲▼ | Demand/Day ▲▼ | Lead Time ▲▼ | Safety Stock ▲▼ | ROP ▲▼ | Days Left ▲▼ | Stockout Risk ▲▼ | Suggested ▲▼ | Vendor ▲▼ |
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How calculations & Monte Carlo simulations work
Monte Carlo Simulation (5,000 Paths)
We simulate 90 days of store activity 5,000 times per product using a log-normal demand model and stochastic lead times. This models real-world daily sales variance and supplier shipping delays.
Safety Stock & Reorder Point (ROP)
Safety stock: SS = demand × leadTime × 1.65 × (dailyVol + ltVar/leadTime). Reorder Point triggers a PO when inventory falls below demand × leadTime + SS.
Revenue & Margin at Risk
Calculated as riskProb × dailySales × (horizon - medianOutage) × 0.5. Converts statistical stockout probabilities directly into financial value.
Suggested Reorder Units
Formulated as max(0, 2 × cycleDemand + safetyStock - currentStock), where cycleDemand = dailyVelocity × leadTime. This covers two full replenishment cycles plus safety buffer.
Vendor & Lead Time Parameters
Adjust lead times, daily volatility, cost parameters, and supplier variance directly. Changes instantly recalculate Monte Carlo simulations.
| SKU | Vendor | Lead Time (Days) | LT Var (%) | Daily Vol (%) | Cost ($) | Reorder | Action |
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