Returns
Return handling and refurbishment.
What really happens at this stage
Returns processing is the operational function that receives garments sent back by customers, inspects them, and decides whether each unit can be restocked as new, sold as discounted or refurbished stock, or routed to another disposition such as donation, resale, recycling or disposal. Inspection criteria typically cover cleanliness, tag and packaging condition, visible wear, and whether the item matches what was originally shipped, since fraudulent or mismatched returns are a persistent risk in online retail. Reverse logistics networks, whether operated in-house or through third-party providers, need clear service-level agreements on turnaround time so that resaleable stock is not tied up for weeks losing its selling window.
A well-run returns operation treats the return reason code as valuable data, not just an administrative field, because it directly informs the size recommendation tools, product descriptions and quality issues discussed in other stages of the product lifecycle. Refurbishment activity, such as re-pressing, re-tagging, minor cleaning or small repairs, can recover meaningful value from otherwise unsellable-as-new returns, though the economics only work when transport and handling costs are kept low relative to garment value. Brands that report separately on return volume, disposition outcome and refurbishment yield can identify whether returns are being driven by product issues, sizing gaps or simply generous return policy terms.
How it is done
- 1Define disposition categories in advance
Set clear criteria for resell-as-new, discount channel, refurbish, donate, recycle or scrap before returns arrive, so inspectors apply consistent rules.
- 2Inspect against a standard checklist
Check for odour, stains, missing tags, damage and authenticity within a target of 2-3 minutes per garment for fast-moving categories.
- 3Capture the return reason accurately
Record a specific reason code such as 'too small', 'colour different from image' or 'fabric feel unexpected' rather than a generic 'did not like'.
- 4Route items to refurbishment where economically justified
Send garments needing only pressing, re-tagging or a minor repair to a refurbishment line, keeping cost per unit below an agreed share of resale value.
- 5Set turnaround targets for restocking
Aim to return resaleable stock to inventory within an agreed window, commonly under 5-7 business days, to preserve selling season relevance.
- 6Report disposition and reason data upstream
Share monthly summaries with merchandising, design and quality teams so returns data informs future decisions.
Key metrics (indicative targets)
| Metric | Working target | Why it matters |
|---|---|---|
| Return rate | Track by category against brand's own historical baseline | A rising rate signals product, sizing or listing accuracy issues that need investigation. |
| Resell-as-new rate | Indicative 60-75% of eligible returns | Shows how much value is preserved from returned stock without discounting or refurbishment cost. |
| Average processing turnaround | Indicative under 5-7 business days | Slow processing delays restocking and increases the chance that seasonal stock misses its selling window. |
| Refurbishment yield | Indicative 20-30% of non-resell-as-new returns recovered as refurbished stock | Measures how effectively refurbishment recovers otherwise lost value. |
| Return reason data completeness | Indicative 95%+ of returns tagged with a specific reason | Incomplete data limits the usefulness of returns as feedback for design and sizing improvement. |
Targets are indicative working ranges, not standard or legal limits.
Control points to check and sign off
- Written disposition criteria available to every inspector at the returns facility.
- Spot audits comparing inspector decisions against the written criteria for consistency.
- Reconciliation between returned units received and units logged in the inventory system.
- Review of refurbishment cost per unit against the resale value it recovers.
- Monthly reporting of return reason trends to merchandising and quality teams.
Common pitfalls and their consequences
- Allowing inconsistent inspector judgement instead of a written checklist, causing unpredictable resell-as-new decisions.
- Treating return reason codes as unimportant paperwork rather than routing them back to sizing and listing teams.
- Letting resaleable returns sit unprocessed until they miss their selling season and must be heavily discounted.
- Refurbishing items where transport and labour cost exceed the value recovered, quietly eroding margin.
- Failing to check for return fraud or item substitution, which increases shrinkage and cost over time.
Main activities
- In-store and online sell-through
- Returns, repair, resale and refurbishment
- Take-back and material recovery
Quality risks
- Return abuse
Sustainability risks
- Return CO2
AI opportunities
- Return reason ML
Official sources
Learn the skills used at this stage
Free GarmentEd lessons with worked calculations, checklists and practice questions for the work described above.
Also relevant: E-Commerce Operations, Resale, Repair and Refurbishment.