Fashion E-tailer Shoplist Adopts Forter Fraud Detection, Cutting Fraud Rate to Under 1/20 With 3D SecureA · FULL TRANSLATION
- AI decisioning platform Forter (New York) announced adoption by SHOPLIST
- SHOPLIST operates a Japanese fashion e-commerce site
- Forter enables flexible use of 3D Secure authentication
- The fraud/misuse rate dropped to under one-twentieth of its prior level
- It balances fraud prevention with a smooth checkout for legitimate customers
E-commerce fraud control faces a dilemma: too loose invites fraud, too strict turns away real customers. Shoplist cutting fraud to under 1/20 came not from blanket authentication but from using AI to flag risk and trigger 3D Secure only on suspicious transactions, a scalpel rather than a wall.
This reflects a shift from rule-based to real-time AI decisioning, judging in milliseconds whether to pass, verify or block, balancing conversion and security. As cross-border and mobile payments grow, fraud and chargeback costs rise, making AI risk control infrastructure rather than a bonus, for Japan and Taiwan alike. But as control becomes an AI black box, how do wrongly blocked customers appeal?
Forter (headquartered in New York), which provides an AI decisioning platform for next-generation commerce, announced that its solution has been adopted by SHOPLIST (headquartered in Shibuya, Tokyo) for the fashion e-commerce site it operates.
By deploying Forter's fraud-detection solution, SHOPLIST achieved flexible use of 3D Secure authentication: AI assesses the risk of each transaction in real time and triggers extra verification only for suspicious ones, strengthening fraud prevention without overburdening legitimate customers at checkout.
After deployment, SHOPLIST cut its fraud/misuse rate to under one-twentieth of the previous level, sharply reducing fraud losses while preserving the customer experience.