Fraud Prevention
Stop Bad Actors Before They Cost You.
Detect policy abuse, return fraud, and chargeback scams in real time. Analyze behavioral and transaction signals to block bad actors without slowing down good customers.
Fraud Prevention Built-In
Block chargebacks and policy abuse with safeguards built into every decision. No extra tools or added complexity.
$ 103 B
Annual Losses
Lost by retailers in 2024 to fraudulent returns and claims.
(Source: Appriss Retail / Deloitte)
2 %
Abusive Customers
Of shoppers drive about 20% of return-related losses.
(Source: Yofi)
85 %
Less Return Abuse
Reduction reported with dynamic fraud detection.
(Source: Yofi)
15 %
Fraudulent Returns
Of all returns are fraudulent or abusive.
(Source: Appriss / Returns Report)
Stop Abuse at Every Point
Detect patterns across returns, deliveries, payments, promotions, and checkout.
Return Fraud & Wardrobing
Risk: Used products come back as new.
Response: Pattern detection flags repeat abuse while legitimate returns move forward.
Item Not Received (INR) Abuse
Risk: Delivered orders are falsely reported missing.
Response: Shipment data and behavioral scoring surface repeat abuse before a payout or reshipment.
Friendly Fraud / Chargebacks
Risk: Buyers dispute legitimate charges with their bank.
Response: Evidence is gathered automatically to strengthen chargeback defense and reduce losses.
Multi-Account & Promo Abuse
Risk: Multiple accounts exploit discounts, referrals, or new-customer offers.
Response: Identity and account signals identify repeat offenders without blocking real customers.
Shipping Claim Fraud
Risk: False damage, theft, and loss claims erode margins.
Response: Delivery and claim history helps separate valid claims from abuse.
Bot & Synthetic Abuse
Risk: Bots and fake identities place fraudulent orders at scale.
Response: Device and behavioral signals block suspicious activity before checkout.
How Prevention Works
Customer starts a purchase or return
Fraud signals analyzed in real time
Risk flagged without blocking good customers
Merchant rules choose the next step
Move From Reacting to Preventing.
Prevention That Pays
Lower Support Costs
Fewer disputes, fewer tickets.
Protected
Margins
Stop absorbing fraud losses.
Happier
CS Teams
Spend less time gathering evidence.
Better Customer Experience
Protect good customers from false positives.
Less Fraud. More Margin.
Increase in post-claim margin
(Internal data)
Reduction in return abuse
(Yofi data)
Reduction in chargeback workload
(Client benchmarks)
Proof That Prevention Pays
See how brands protect revenue, reduce support costs, and turn shipping problems into loyalty.
Fraud Prevention in Practice
Explore practical ways to reduce chargebacks, protect revenue, and stop abuse before it spreads.
Common Questions
Fraud Prevention FAQs
Behavioral and transaction signals surface suspicious activity in real time. Dispute evidence is gathered automatically, reducing manual work and strengthening chargeback defense.
It identifies patterns tied to friendly fraud, stolen cards, item-not-received claims, return abuse, promotion abuse, bots, and synthetic identities.
Tracking, delivery confirmation, and order details are gathered into dispute-ready evidence, helping your team respond faster and recover more revenue.
No. Detection runs in the background without adding steps to checkout.
Yes. It connects with Shopify, major carriers, payment gateways, and apps such as Rebuy and Recharge.
Savings come from fewer losses, higher dispute win rates, and less manual review. Results depend on order volume, fraud exposure, and current processes.
No. Plans start free for merchants processing up to 200 orders per month, with room to scale.
Protect Your Store Before Fraud Spreads
Share a few details and we’ll show where fraud prevention can protect revenue and reduce manual work.
