Inventory
The inventory layer
How a forecast becomes a cost: through one shared order-up-to policy, with lost sales as the primary demand-shortfall model.
Inventory simulation
From forecast to cost — through one shared policy.
Every forecast feeds the same periodic-review order-up-to policy, so models are compared fairly on operational outcomes. Lost sales is the primary demand-shortfall model.
Interactive conceptual demonstration
Conceptual only. This uses a simple illustrative service-stock heuristic to show how order-up-to, safety stock, holding and at-risk units respond to your inputs. It is not a research result and does not reproduce the experimental pipeline.
Why this matters
A lower-error forecast is not automatically a lower-cost forecast.
Over-forecasting holds extra stock (holding cost); under-forecasting loses sales (stockout cost). Which matters more depends on the economics of the product. Because every forecast feeds the same policy, models are compared fairly — and the experiment can ask which method minimizes total cost under which economic conditions.
Cycle service level (CSL) and fill rate are reported separately, because a model’s ranking can flip depending on which service measure is used.