Sift every return request in seconds
ReturnSift scores each return on customer history, order pattern, and timing, then routes it to approve, warn, or deny so your team spends time on decisions, not detective work.
Get a free returns fraud scanHow it works
Connect your store
ReturnSift installs on Shopify Plus in minutes and reads your orders, returns, and customer history directly.
Score every return
Each return request is scored on wardrobing, bracketing, and serial returner signals drawn from the customer's full history.
Decide and enforce
Your CX team gets a clear approve, warn, or deny recommendation with the evidence attached, and every decision updates the score.
Built for the decision layer
Serial returner scoring
Every customer gets a keep-rate score that updates with each order, so your team knows who is honest and who is expensive.
Approve, warn, deny
One click decisions on every return request. Fast approvals for good customers, warnings for borderline cases, and clean denials with evidence.
Bracketing analytics
See which customers, SKUs, and size runs drive multi-unit orders that were always going to come back.
CX workflow built in
Flags land where your team already works, with the context to decide in seconds instead of digging through order history.
Shopify Plus native
Installs in minutes and reads orders, returns, and customer history directly. No replatforming, no CSV exports.
Wardrobing detection
Spot wear-and-return behavior from order timing, return condition reports, and repeat patterns across a customer's history.
Who we help
Apparel brands
Apparel carries the highest return rates in ecommerce, and the abuse hides inside the honest majority.
Activewear brands
Activewear abuse is quiet: worn-and-returned training gear, bracketed sizes, and serial returners hiding behind high order counts.
Accessories brands
Accessories see a distinct abuse mix: event-driven wardrobing, price switching, and high-ticket returns with low keep rates.
Common questions
How does the free returns fraud scan work?
Connect your Shopify store and ReturnSift analyzes your order and return history. Within days you get a report showing the customers and patterns behind your return cost, with no commitment.
Will this slow down returns for honest customers?
No. Honest customers are the majority and their returns approve instantly. Scoring works in the background and only changes the experience for repeat abusers.
What does approve, warn, deny mean in practice?
Every return request gets a decision. Approve processes it instantly. Warn lets it through with a policy notice to the customer. Deny refuses it with the documented history attached.
How is this different from Loop or Happy Returns?
Those platforms focus on returns logistics: portals, labels, and exchanges. ReturnSift focuses on the decision layer: who is abusing your policy, and what to do about it. Many brands use both.
From the blog
See your own returns data, scored
The free scan shows your serial returners, wardrobing patterns, and bracketing concentration per customer and per SKU.
Start the free scan