Foundational, high-impact, and too often overlooked. This spotlight gets crisp on the levers that quietly move the P&L: size curves by cluster, store/region stratification, BOPIS and ship-from-store signals, and cadence rules that cut markdowns and stockouts; no AI fairy dust required. We’ll focus on the nuts and bolts planners can change now, and the governance that keeps those changes from drifting.

More specifically:

• Which signals should shape your size curves and which can you ignore (returns, fit feedback, climate, promotions)?

• How should you set and adjust minimum/maximum levels and review cycles by cluster, and when do you override the model?

• What does a fast execution loop look like (field feedback → parameter tweaks → KPI readouts like sell-through, lost sales, weeks of cover)?