“These Jordan 1s look fake — the heel stitching is uneven and the box has the wrong font.”
Bracketing tolerance, tamper-evident photos, and an authentication gate that actually works on $400 sneakers.
Sneakers + streetwear has the highest counterfeit pressure on Shopify. Every claim needs a tamper-evidence check, every size return needs bracketing tolerance, and every authentication mismatch needs a queue that isn't 'just refund it.'
Free plan included · 5-minute install · no credit card
Why generic returns apps make sneakers a fraud surface
A customer reports their $300 sneakers are 'inauthentic' and asks for a refund. Generic apps refund the customer — and now the merchant has accepted a counterfeit pair into stock, which they then ship to the next customer. Eturns adds a tamper-evidence photo step (factory tape, security label) on every authentication-class claim, and only opens the return path after your authentication desk confirms the pair is legitimate. Counterfeits get rejected with the merchant's evidence captured.
One conversation, three roles played: customer, AI, your team.
Recognizes authentication-class language, requests box stamp + insole + heel close-up photos, holds the return path, opens an authentication escalation tagged 'luxury_authentication_gate — counterfeit suspected.' Tells the customer your team is verifying within 24 hours.
Authentication confirms fake. Merchant rejects the return (not their pair) with the evidence trail. Counterfeit doesn't enter stock. Customer is referred to chargeback / external-purchase channels.
5 defect categories tuned for sneakers.
Each category controls which photo the AI requests, which department the case routes to, and which SLA the customer hears. Turn any of them off in your merchant dashboard.
Authentication mismatch
luxury_authentication_gateCustomer claims the pair is fake. AI requests tamper-evidence + insole + box-stamp photos, routes to your authentication desk for verdict before any refund or return is opened.
Tamper evidence broken on receipt
tamper_evidence_brokenCustomer says factory tape was already broken or security tag was missing. AI asks for the box photo and treats this as a fulfillment / shipping claim, not an authentication claim.
Sole separation / glue failure
sole_separationSole separating from upper inside the warranty window. AI requests close-up and routes to warranty.
Bracketing return (size up + size down)
fit_bracketingCustomer ordered the same shoe in 2 sizes, returning one. AI honors your bracketing tolerance and processes both as one return vs flagging as a serial returner.
Colorway drift
color_mismatch_to_listingSubtle hue mismatch on a streetwear drop. AI compares to the official photo and routes to authentication if mismatch suggests a counterfeit run.
Specialist destinations, not a generic CS queue.
Eturns ships with 14 routing destinations beyond CS. The sneakers disclosure profile uses these:
| Department | Triggered when | SLA the customer hears |
|---|---|---|
authentication | Any authenticity / counterfeit / colorway-mismatch claim | Verdict within 24h; until then, the return is on hold |
warranty | Sole separation, glue failure, eyelet damage inside warranty | Replacement or repair within 2 business days |
fulfillment | Tamper-evidence broken on receipt — this is a packaging / carrier claim | Replacement same day; carrier-claim opened separately |
Luxury for >$200, standard otherwise
Sneakers above $200 use the luxury disclosure profile: tamper-evidence + insole-stamp authentication required before any return path. Production sneakers under $200 use the standard profile but still respect bracketing tolerance — the AI knows that a customer ordering 2 sizes of the same shoe and returning one is buying-as-intended, not a serial return.
If your store sells any of these, the sneakers profile fits you.
- Sneaker boutiques and curated retailers
- Streetwear DTC brands
- Sneaker resale + consignment shops
- Athletic / lifestyle footwear DTC
Frequently asked.
Does the authentication gate slow down legitimate returns?
Only on flagged-luxury SKUs and only on authenticity-class language. A simple 'too small' return on a $90 pair still goes through the standard 90-second flow.
How does bracketing tolerance work?
Customer orders 2 of the same SKU in adjacent sizes (e.g., 9.5 + 10) and returns one. The AI recognizes the pattern and treats it as one purchase, not 2 returns. Risk score doesn't penalize the customer.
What if the authentication desk says it's real but the customer disputes?
The AI shares the authentication evidence (your team's photos + verdict) with the customer politely. They can chargeback if they wish — that's their legal right — but the merchant has the evidence trail.
Ready to give sneakers the returns flow it deserves?
Install Eturns from the Shopify App Store. Free plan included. Setup takes 5 minutes — the AI auto-detects sneakers from your products and policies.