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📦 Demand Forecasting and Safety Stock

A live 3D inventory silo fed by a scrolling demand forecast: tune forecast error, lead time and service level and watch the safety-stock buffer, reorder point and stockouts respond.

AI & Machine Learning3DAdvanced60 FPS

A 3D inventory silo is fed by a scrolling demand forecast with a widening uncertainty cone; watch how forecast error, lead time and service-level targets translate into safety stock, reorder points, and stockouts.

🔬 What It Demonstrates

Safety stock and the reorder point are computed live from the forecast's error, the supplier's lead time and the target service level, then rendered as bands and rings on the silo — showing why an accurate mean forecast is only half the inventory problem.

🎮 How to Use

Set the average demand, forecast error, lead time and service level. Watch daily demand deplete the silo, trigger a replenishment order when stock crosses the reorder point, and a shipment fly in after the lead time elapses.

💡 Did You Know?

Because lead-time demand variance scales with the lead time itself, doubling a supplier's lead time can require over 40% more safety stock even if daily forecast error stays exactly the same.

⚙ Under the hood

A live 3D inventory silo fed by a scrolling demand forecast: tune forecast error, lead time and service level and watch the safety-stock buffer, reorder point and stockouts respond.

Data AnalysisForecastingInventory ManagementSupply ChainOptimizationDemand PlanningThree.js

3D · Three.js / WebGL renderer · 60 FPS target · runs fully client-side, no install