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AI Demand Forecasting & Inventory Replenishment

Interactive 3D simulation of AI-driven inventory management: exponential-smoothing demand forecasts set dynamic reorder points for a row of warehouse silos, dispatching replenishment trucks before stockouts happen — compare against a naive fixed-threshold policy.

AI & Machine Learning3DModerate60 FPS

Predictive analytics is one of AI's biggest levers in supply-chain management: forecasting future demand from historical patterns so inventory decisions can be made ahead of time instead of reactively. This simulation runs six warehouse silos, each following its own hidden seasonal demand wave with random noise on top. An exponential-smoothing forecast learns each wave over time and sets a dynamic reorder point that dispatches replenishment trucks early enough to avoid stockouts — switch to the naive fixed-threshold policy to see how much worse a system performs when it ignores the forecast entirely.

⚙ Under the hood

Interactive 3D simulation of AI-driven inventory management: exponential-smoothing demand forecasts set dynamic reorder points for a row of warehouse silos, dispatching replenishment trucks before stockouts happen, with a naive fixed-threshold policy toggle to compare performance.

Three.jsAIsupply chainforecastinginventorymachine-learning

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