How can inventory metrics help in managing volatile demand?

Inventory metrics such as stock coverage, service level, forecast error, and coefficient of variation help identify where volatility creates the highest risk. When used dynamically, these metrics guide smarter buffer placement and replenishment priorities. The shift from static to dynamic reading is what unlocks the value. Treated as fixed thresholds, these metrics tend to flag the same SKUs cycle after cycle. Treated as inputs to a probabilistic model, they expose the SKUs whose risk profile is changing now and deserve attention before service or inventory KPIs deteriorate. This is how inventory metrics turn from reporting indicators into operational signals that actually shape replenishment decisions.