A boutique clothing returns review can improve your next wholesale buying decision, but only if it separates what customers reported from what the records actually establish. “Too small”, a refunded payment and a returned garment are different pieces of evidence. Combining them into one rejection score can lead you to drop a suitable style or repeat an unresolved problem.
This guide is a suggested internal review method for UK boutique buyers. It is not a returns policy, a customer-service script or a reason to delay a remedy. Its output is a specific next action: clarify information, investigate a garment concern, change a buying requirement or keep observing.
Keep customer remedies separate from the buying review
Handle each customer case through the applicable consumer rights and your lawful policy without waiting for a monthly buying meeting. The GOV.UK guidance on accepting returns and giving refunds distinguishes faulty-goods and change-of-mind situations, including distance sales. Do not make an optional feedback question a condition of a right to cancel.
Your customer returning an item to your boutique does not automatically give you permission to send it back to the wholesaler. For a Catwalk purchase, check the separate trade Returns and Refunds Policy and obtain instructions. An internal review does not extend a supplier reporting deadline or establish a refund entitlement.
Link the return to the original selling line
Start with the exact style reference, colour, labelled size and selling unit. Link the event to its original sale in your private operational record. Keep the sale channel, delivery date where known, return request, physical receipt and refund as separate fields. A payment adjustment alone does not prove that a garment came back.
Use one event record for the original selling line and quantity, with dated updates. A customer message, parcel arrival and refund notice may all concern the same return; they are not three separate complaints. If a replacement is supplied and later returned, link the events while retaining the identity of each supplied item. Keep this out of a simple first-supply comparison until you can reconcile the sequence.
For the buying summary, use anonymous product-level information. Leave names, addresses and personal circumstances in the restricted customer-service record, not a shared range-planning sheet.
Record a reason without inventing its cause
Keep the customer wording, your category and any verified observation in separate columns. “Sleeves feel tight” is useful feedback about that experience; it does not by itself prove incorrect sizing, a manufacturing fault or the requirements of every customer buying that label.
- Fit or preference: record the specific area or feature mentioned. Do not translate “not for me” into “too small”.
- Expectation or information: compare the listing version seen at purchase with the reported expectation. A current corrected page is not evidence of what the customer originally read.
- Reported condition or wrong item: retain the report separately from inspection findings. Use the garment concern record for precise observations rather than diagnosing from a reason code.
- No reason supplied: keep it unknown. Do not distribute these cases across the other categories to make the totals look complete.
Where several reasons are supplied, retain them as multiple observations on one event. If you need a single primary category for a summary, document the rule and preserve the additional reasons. Category totals can otherwise count the same returned unit more than once.
Compare similar sales groups, not this week’s incoming parcels
Returns received this week may relate to sales from several earlier weeks. Dividing them by this week’s sales mixes populations. For a simple first-supply review, choose an identifiable group of delivered sale units and link their returns back to that group. Keep complete saleable sets separate from individual garments, and show exchanges or replacements separately.
Record the delivery window, review date and how much follow-up each sale has had. A recently delivered group has had less opportunity to generate returns than an older one. If you use a fixed observation period for comparison, label it as an analytical window only, never as a restriction on customer rights. Mark later returns in a revised review rather than erasing the original result.
Hypothetical example, not Catwalk data: after comparable follow-up, option A has two physically returned units from ten delivered first-supply units: 20%. Option B has four from forty: 10%. B has more returned units, but a lower proportion under this definition. Both counts and percentages matter; the small groups do not establish a general trend or explain the reasons.
If identities, delivered quantities or follow-up dates cannot be reconciled, report the known cases and the coverage gap rather than a precise rate. This is a different measure from retained-unit sell-through: do not substitute one percentage for the other or treat a physical return as proof of saleable stock.
Turn a repeated reason into a testable buying action
Consider this illustrative situation: several online returns mention sleeve room, while shop staff have recorded similar questions during try-ons. First check whether the cases concern the same labelled size and whether the original listing supplied useful measurements. Different sizes, different delivery versions or a missing record should remain visible, not be blended into one verdict.
If the important information was missing, verify and improve it. If an observed garment detail conflicts with the description, investigate that exact conflict. If the garment is accurately described but does not meet a recurring requirement in your own customer evidence, put that requirement into the next wholesale clothing buying brief. Do not promise that a different size label or fabric will solve the problem without checking the candidate.
Finish the review with the affected options, evidence and unknowns, one proposed action, a named owner and a review point. Keep stock-condition decisions, customer remedies and supplier enquiries in their own records. A buying review does not automatically release a returned garment for resale, cancel an incoming purchase or authorise a discount.
After the change, compare another clearly defined group and record other changes in price, channel, photography or customer mix. Fewer recorded returns may be worth investigating, but they do not prove that the chosen intervention caused the difference. The useful result is a better-supported wholesale decision, not a universal acceptable returns percentage.