return rates
Fashion Return Rates in India, 2026: Benchmarks by Category
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5 min read
One in four, and that's the good news
Ask any Indian fashion founder their return rate and you'll get a confident number, usually "around 25%." Ask them how it changes on COD orders, in Tier 3 pin codes or during the Diwali sale, and the confidence goes.
A single average hides more than it shows. The same kurta can come back 15% of the time on prepaid and 40% on COD. A brand at 30% might be doing brilliantly or terribly, depending on what it sells and to whom.
So here are the 2026 return-rate benchmarks for India by category, the variables that swing them, and where your number should sit.
A quick note on terms, because most published numbers mix them up:
Customer return: the order was delivered, then sent back.
RTO (return to origin): the order never got accepted, usually a COD refusal at the door.
Both cost you a round trip. They have different causes, so track them separately.
The 2026 benchmarks by category
Fashion is the most-returned category in Indian e-commerce on every payment mode. Typical ranges, side by side:
Three things jump out:
Fashion's prepaid rate (12–18%) matches or beats the COD rate of electronics, toys, sports and health. Doubt about how it looks costs you even when the money is already paid.
COD roughly doubles returns everywhere, at 1.8–2.3x prepaid for identical SKUs (Base).
Footwear is a close second at 20–30% on COD, and for the same reason: fit you can't feel through a screen.
Other sources land in the same zone. Shipmozo puts fashion and apparel at 25–40% and footwear at 20–35% (Shipmozo). Industry observers have quoted 25–30% for online apparel for years (Apparel Resources). Every one of these is an estimate, so treat the ranges as a compass, not a scale.
Why fashion tops the list: looks first, then fit
Electronics come back when they're broken. Clothes come back when they're perfectly fine.
The top reason looks like fit. Over 40% of returns are size issues (Return Prime via India Retailing). Under the size problem sits a bigger one: the imagination gap. The shopper can't picture how the outfit will look on her own body, so she orders two sizes, or two colours, and lets the bedroom mirror decide.
That's why the categories with the most "look" risk return the most:
Occasion and ethnic wear. Drape, embroidery and colour against skin are hard to judge on a 5'10" model. Wedding-season pieces also tempt wardrobing: worn once, sent back.
Fitted westernwear. Jeans, dresses and co-ords, where an inch changes everything.
Basics (tees, socks, innerwear) return the least, because there's nothing to imagine.
The variables that swing your number
1. Payment mode is the biggest lever. In one 2026 dataset, prepaid orders were returned under 2% of the time and non-prepaid nearly 26% (Base). Fashion COD returns run at 2.0–2.2x prepaid for identical SKUs (Base).
2. Season. RTO hit nearly 39% in November 2025, during the festive rush, and fell to about 21% by February 2026(Unicommerce data via MediaBrief). Budget for it.
3. Geography. Tier 2 and 3 cities drove about 66% of new D2C orders in FY2026 (MediaBrief). They also skew COD, so growth there pulls your blended return rate up.
4. Channel. The same fashion SKU is reported to return 18–25% on a Shopify D2C store versus 28–35% on Amazon India (Base). Your own site gives you more control over imagery, sizing help and try-on.
Where does your brand stand?
A rule of thumb for an Indian fashion brand selling on its own site, built from the 2026 ranges above. Compare like with like: prepaid against prepaid, COD against COD.
Metric | Good | Average | Worrying |
|---|---|---|---|
Prepaid return rate | Under 12% | 12–18% | Over 18% |
COD return rate | Under 25% | 25–40% | Over 40% |
COD RTO (refused at door) | Under 15% | 15–25% | Over 25% |
Festive-month spike | Under 1.3x your normal | 1.3–1.5x | Over 1.5x |
The RTO band follows Base's 2026 view that well-run COD operations land at 15–20%, with top performers at 10–15% (Base). The festive band reflects the 35–45% COD spike reported during big sale events (Base).
If you're "worrying" on prepaid, that's a product-page problem: shoppers who paid upfront still couldn't picture it. If you're worrying only on COD, it's a confidence and verification problem.
How to bring it down, in order
Most brands start with the return policy: shorter windows, return fees, blacklists. That lowers the number and the goodwill along with it. Fix the doubt instead, in this order:
Close the looks gap. Let shoppers see the piece on their own body before they order. AI virtual try-on does this online; AI mirrors and QR tags do it in store. Start with the styles that return most.
Then fix fit. Size advice per style, not one size chart for the whole catalogue. Flag "runs small" where it does.
Nudge COD to prepaid. A small prepaid discount or confirmation call costs less than a refused parcel. Address verification alone is reported to cut RTO by 15–20% (Base).
Use the data. Track return reasons, not just the rate. Styles tried on often but returned often have a product problem. Feed that into merchandise and inventory planning before the next buy, and retarget shoppers on the looks they actually loved.
The brands that win won't have the strictest return policy. They'll be the ones whose shoppers knew what they were getting.
Flickd builds persistent AI avatars for fashion: virtual try-on on your Shopify store, AI Mirrors and QR Smart Tags in store, all feeding one view of what shoppers want. Book a demo to see it on your catalogue.