A boutique sell-through rate can help you review a wholesale clothing purchase, but only if the sales and stock figures describe the same group of units. Dividing this month’s sales by whatever happens to remain on the rail can give a very different answer from measuring how much of an opening purchase customers kept.
This guide uses a clearly defined fixed-batch, retained-unit method for UK boutique buyers. It is a suggested buying-review calculation, not a claim that every inventory dashboard uses this formula. Its purpose is to make a small stock trial comparable before you consider another wholesale order.
Define the wholesale clothing batch before calculating
Choose an identifiable opening purchase and record the style, colour, labelled size, selling unit and date it became available. Keep the original quantity fixed. For this method, the denominator is the number of checked saleable units released in that batch, not the quantity left today and not every delivery of that style ever received.
One complete co-ord set and one individual garment are different selling units. Convert purchasing packs into the actual units your boutique sells before calculating. Keep each colour and size separate; an overall style figure can hide a very different result for one option.
If older and newer stock cannot be distinguished in your sales records, do not invent a batch allocation. Use an explicitly defined whole-option report instead, or begin a traceable trial with the next purchase. The restock information guide covers keeping delivery identities and product information clear; a receipt reference alone does not prove which delivery supplied a sale.
Use a fixed denominator and a dated numerator
For this review, calculate:
Batch sell-through (%) = units from the batch sold and not returned as at the review date ÷ original saleable units released × 100.
Count completed unit sales attributable to that batch, less the units returned from those sales by the stated cut-off. Exclude cancelled orders and unfulfilled reservations. A refund without a physical return does not automatically mean a unit came back: record the reason and quantity separately. This is a unit measure, not a revenue or profit calculation.
A returned unit that is checked and sold again can count as retained by the next customer, but it must not count as two retained units. If your records cannot reconcile resales and returns to the batch, mark the result incomplete rather than forcing a percentage. Show the extraction date because a later return can change the earlier result.
Work through a small-batch example
Hypothetical example, not Catwalk trading data: a boutique releases twelve checked tops of one colour and size. By its review date, seven units have completed sales. One of those seven has been returned and has not been resold. No other movements or adjustments occur.
- Retained units: seven minus one = six.
- Fixed batch quantity: twelve.
- Batch sell-through: six ÷ twelve × 100 = 50%.
There are six units not retained by customers: five never sold and one returned. Whether the returned top is ready to sell again needs a separate condition check. The percentage cannot establish available stock.
Suppose another twelve tops arrive after the review. They do not change the original batch denominator. If you decide to review both deliveries together, label that as a new combined scope, include the correct sales and show their different release dates. Do not silently halve the old percentage by adding a fresh delivery to its denominator.
Combine options by units, not by averaging percentages
A second hypothetical example shows why colour-level figures matter. A navy option has three retained sales from four released units: 75%. A burgundy option has three from twelve: 25%. Across both options, there are six retained sales from sixteen units, giving 37.5%.
The simple average of 75% and 25% is 50%, but that gives the small and large batches equal weight. It is not the combined unit sell-through. Keep the option figures beside the combined result so the larger unsold balance is not hidden.
Compare selling opportunities, not just percentages
Record elapsed time since release, periods actually available, selling prices, returns, promotions and where the goods were displayed. Four units selling out quickly and twelve units selling gradually answer different questions. A sold-out option cannot keep recording sales, while a late delivery has had less time to sell.
Use comparable review windows where possible, such as the same elapsed period after release, and flag differences rather than adjusting them away. Do not assume that matching calendar dates create a fair comparison. A higher percentage after a deep discount does not establish better profitability, and an increase after changing both photographs and price cannot be attributed to either change alone.
There is no universal pass percentage in this method. Set the review purpose for your own range and selling window. Keep actual unit sales alongside the percentage: a high result from a tiny batch is limited evidence, not proof of broad demand.
Turn the result into a separate buying decision
Finish with a short record: exact option and batch, original quantity, release and review dates, completed sales, returns and resales, retained units, calculation, availability gaps and price context. Preserve the original extract when later returns require a revised result.
Then decide what needs investigating. Check remaining sizes and confirmed incoming stock before using the repeat-order checklist. Review the dated buying budget before committing cash, or prepare a separate markdown decision if that is justified. A sell-through percentage informs those decisions; it does not authorise an automatic reorder or discount.