Cross-border e-commerce faces challenges such as global transaction complexity, diverse payment methods, and multi-currency settlement. Fraud tactics are constantly evolving, causing significant financial and reputational losses to platforms.
These risks not only cause direct financial losses but also damage platform reputation and erode user trust.
Account Takeover: Cybercriminals steal user accounts through credential stuffing, phishing and other tactics to conduct malicious transactions or cash out.
Credit Card Fraud: Fraudsters place orders with stolen credit cards, leaving merchants responsible for chargeback losses and heavy penalties.
Malicious Refunds: Buyers falsely claim non-receipt or submit fake returns after receiving goods to fraudulently obtain refunds.
Coupon Abuse: Cybercriminals register mass accounts to arbitrage coupons, causing waste of marketing funds.
Logistics Fraud: Bad actors tamper with tracking information, swap goods or forge delivery confirmation.
WeTech Solutions
We provide end-to-end AI risk control capabilities for cross-border e-commerce, covering pre-transaction, in-transaction, and post-transaction stages. Fraudulent activities are identified in milliseconds, ensuring the security and compliance of every transaction.
Core Features
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Account Security Monitoring & Real-time Alerts for Abnormal Logins
Multi-dimensional detection of abnormal account behavior, including logins from unusual locations, device changes, and high-frequency operations. Real-time blocking of credential stuffing, malicious registrations, and account takeovers to protect user assets.
Intelligent Identification of Credit Card Fraud & Chargeback Risk
Leveraging a global credit card database, historical transaction behavior, and device fingerprinting to assess payment risk in real time. Accurately identifies stolen card usage and fraudulent transactions, reducing chargeback rates and dispute resolution costs.
Customer Value
Reduce Fraud Losses
Effectively block stolen card use and refund fraud, reducing fraud losses by over 60%.
Boost Transaction Conversion
Accurately distinguish fraud from legitimate transactions, reducing false positives and increasing approval rates by 25%.
Optimize Operational Efficiency
Automate risk control to replace manual reviews, cutting review costs by 70%.
Strengthen User Trust
Provide a secure and stable transaction environment, improving repeat purchase rates and brand reputation.
Customer Case Studies
Before Access
Relied on payment channel risk control; lacked independent capabilities
High chargeback/fraud rates causing severe losses
Declining payment success rate & high failure proportion