Size Curve Correction
Size curve mismatched to demand. Re-balances buy and availability.
A style sells out of its centre sizes while the tails still hold more than 40% of units, or size-related returns exceed the category norm.
Revised size curve written to the PIM against the style; availability rules updated in Shopify.
Every write is gated on an approver role you name. Nothing runs unattended.
- Compare the bought curve to realised demand by size, correcting for the fact that a sold-out size stops generating demand data.
- Test whether it is a curve problem or a fit problem, because size-related returns look identical from the sales data alone.
- Recompute the curve per cluster or channel, since online and store size profiles rarely match.
- Open a case to the buyer for the next buy, and to merchandising for the current one, gated on approval.
- Close when the next buy sells through with the tails clearing at full price.
Full-price sell-through by size on the next buy vs. the prior curve, plus the change in size-related returns.
The case closes on this number, not on the action being taken. A playbook without a close condition is a dashboard.
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