Genuine Returns, Refunded.
Fraud, Caught.
AI that scores every return for fraud risk before refund — so the legitimate customer is paid in seconds and the abuser is flagged for inspection.
Current Situation
Returns flow through a single policy that treats every customer the same — the wardrober, the bracketer, the empty-box returner, the RTO abuser, and the genuine fit issue. Fraud clears alongside legitimate claims, and by month-end, returns are eating fifteen to twenty per cent of revenue.
The cost isn’t just the fraud loss. It’s the genuine customer who gets friction added to their experience because the brand is trying to slow down the abusers, the operations team that can’t articulate the fraud rate to the CFO, and the policy that gets tightened reactively in ways that hurt growth.
What Returnshield Does
ReturnShield reads every return claim against the customer’s order history, behavioural patterns, image evidence, and known fraud signals — and assigns a fraud risk score before the refund is processed. Genuine customers see no friction. Abusers get the inspection step they should have had all along.
Fraud Risk Scoring on Every Return
Every return claim scored on a continuous risk scale — wardrobing, bracketing, empty-box, used-item, and RTO patterns — before the refund is approved.
Behavioural Pattern Detection
Customer return history, order frequency, address-level claim density, and cross-account signals analysed together — catching patterns no single-transaction rule can see.
Image & Evidence Analysis
Return photos analysed for inconsistency with the original product, signs of use, and tampering — flagging claims that don’t match the evidence.
Frictionless for Genuine Customers
Low-risk returns clear instantly with the existing customer experience untouched — because trust scales only if the legitimate buyer never feels suspected.
How It Works
No blanket policy tightening. No genuine customer punished for fraud they didn’t commit.
Amazon S3
Call recordings land in Amazon S3 the moment they are uploaded.
Amazon Transcribe
Amazon Transcribe converts the audio into accurate, speaker-attributed text.
Amazon Comprehend
Amazon Comprehend analyses sentiment, intent, and key entities across the conversation.
AWS Lambda
AWS Lambda orchestrates the pipeline and delivers a structured report within seconds of the call ending.
WHY IT HOLDS UP
Deployed in your AWS account
ReturnShield runs inside your own AWS environment. Customer data, order history, and return evidence never leave your infrastructure.
Data resident in AWS Mumbai
All customer, transaction, and return data processed and stored in the AWS Mumbai region — protecting your customer privacy and commercial confidentiality.
Tuned to your category, not a generic model
Fraud patterns in apparel, electronics, beauty, and consumables are different. ReturnShield is calibrated to the actual abuse vectors of your category — so accuracy stays high and false positives stay low.
OMS and CRM integration
Connects to your existing Order Management System and customer service stack via API. Fraud signals flow into the workflows your ops and CX teams already use.
Defensible refund decisions
Every score backed by the signals that produced it — so customer service has the reasoning when a flagged customer pushes back, and ops has the evidence when the chargeback comes.
BUILT FOR
Operations Heads, Trust & Safety leaders, and Finance Controllers at D2C brands, e-commerce platforms, and omnichannel retailers —
where return rate, RTO loss, and fraud write-offs are eroding margin and clouding genuine customer experience.
