Open-to-buy is broken, and everyone in the room knows it
Every brand has the meeting. The plan is laid out, the open-to-buy is agreed by category, everyone nods, and the buy goes to the suppliers. Then the season starts, sell-through does something nobody wrote down, and by week three the spreadsheet on the shared drive no longer describes the business anyone is actually running.
Nobody reopens it. Reopening it means a week of manual rework, so instead the buyers manage by feel and the finance team finds out what happened at quarter close. Open-to-buy, the one control that is supposed to keep spend tied to demand, quietly stops controlling anything.
This is not a discipline problem. It is a design problem. OTB as most brands run it was built for a world where you set the plan once and defended it. That world is gone. Demand moves inside the season now, across channels, at the size and style level, and a control you only touch once a quarter cannot possibly keep up with a business that changes every week.
The number was wrong the day you set it
A quarterly OTB is a forecast with the confidence interval deleted.
An open-to-buy is only as good as the demand plan underneath it, and the demand plan is a guess about a season that has not happened yet. That is fine. Every plan is a guess. The problem is what happens next: you lock the guess into a spend number, distribute it to suppliers, and then treat it as fact for thirteen weeks.
The moment real sell-through arrives, the number is stale. Outerwear is pacing twelve points ahead, dresses eight behind, and the OTB still reflects the split you agreed in a room in January. The buy keeps flowing against a plan that the market has already voted against.
Worse, the plan hides its own error. A single OTB figure by category carries no sense of how confident you were in it, so a number that was a shaky guess and a number that was a safe bet look identical on the page. When the shaky one turns out wrong, nothing in the spreadsheet flags it. You find out at markdown. A plan that cannot show you where it is least sure is a plan that will surprise you exactly where it hurts most.
of working capital freed on average when brands move open-to-buy onto a live, reconciled plan instead of a quarterly spreadsheet.
That capital is not freed by buying less. It is freed by buying the right things: money moves out of the categories that stopped selling and into the ones that are pulling, while there is still time to place the order and receive it in season.
Ask why the number is only touched once a quarter and the honest answer is not that quarterly is the right cadence. It is that recomputing OTB by hand is expensive. It means pulling fresh sell-through, reconciling it against the merchandise financial plan, re-deriving the open-to-buy by category, and then arguing it through a meeting. That is a week of a planner's life, so it happens as rarely as anyone can get away with. The cadence is not a considered choice about how fast demand moves. It is a surrender to how long the manual work takes. The plan updates on the spreadsheet's schedule, not the market's, and the market does not care.
Drift is the default, not the exception
The gap between plan and sell-through is where margin goes to die.
When the buy is locked and demand moves, the difference does not disappear. It shows up as two costs, and both land on the P&L. The categories you under-bought stock out at full price, so you lose the sales you could most profitably have made. The categories you over-bought sit until you discount them, so you give back margin you already earned.
Take a concrete season. You set outerwear and dresses at the same open-to-buy in January because last year they finished close. Three weeks in, outerwear is twelve points ahead and dresses eight behind. In a live plan you would already have released spend from dresses and chased outerwear while the factory could still deliver in season. In the quarterly plan, both keep receiving against the January split. Outerwear stocks out in week seven at full price, right in its peak, and you lose the best sales of the run. Dresses keep arriving into a category that stopped selling, and by end of season you are marking them down to move them. Neither miss was a bad buy. Both were a plan that could not move.
The brands that win in-season are not the ones with better January guesses. They are the ones who act on the signal faster, and the gap is measurable.
Leaders sell more of the buy before it hits markdown
The 14-point gap is not a merchandising instinct. It is reaction speed to in-season demand.
Fourteen points of full-price sell-through is the difference between a healthy season and a promotional one. It compounds: the brand that clears at full price has cash and clean stock going into the next buy, and the brand that discounted is carrying the overhang and the habit. Do it two seasons running and the gap is not a number on a chart anymore, it is the difference between a brand that funds its own growth and one that is always digging out of last season.
There is a customer cost too, and it is the one that outlasts any single season. Train shoppers to wait for the markdown and they will, and now your full-price sell-through erodes not because the product was wrong but because you taught the market that patience pays. The brand that holds full price keeps its pricing power and its brand equity intact. The brand that drifts into promotion every season teaches its best customers to buy at a discount, which makes the next season harder to hold at full price, which forces more promotion. The open-to-buy drift is where that spiral starts, one locked plan and one late markdown at a time.
What open-to-buy looks like when it moves
The buyer approves the moves. The model does the rebuild.
The fix is not a better spreadsheet. It is putting open-to-buy on the same live model as the demand forecast and the merchandise financial plan, so that when sell-through moves, OTB re-plots the buy against the new demand curve automatically, inside the guardrails you set.
Working-capital ceiling, markdown headroom, lead-time floor, MOQ: these become limits the system plans within, not rules a buyer has to remember at 6pm. When a category drifts, the agent stages the moves, releases spend from the laggards, and proposes the reorders on the runners. The buyer reviews the set and approves in one pass. What used to be a week of workbook rework becomes a decision you make the same day.
And because the forecast underneath carries a confidence range, not just a point, the plan can finally tell you where it is unsure. The category the model is least confident about is flagged before the season, not discovered at markdown, so the buyer can hold a little more cover exactly where the risk is and run lean everywhere else. The plan stops hiding its own weak spots.
You stop defending a number you set in January and start making the call the week the demand actually changes.
None of this asks the buyer to trust a black box. Every move carries the reasoning that produced it and every adjustment is a snapshot in the audit trail, so finance can see exactly what changed, when, and why. The control comes back, and this time it holds all season. That is the whole difference: not a smarter guess in January, but a plan that keeps correcting itself while the season is still yours to win.