Cross-border Search | Amazon’s Halloween Product Return Rate Surges 30%
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Cross-border Mega Search | 12-Day Extravaganza: Amazon Prepares for the Biggest Black Friday and Cyber Monday in History
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Behind the surge in orders
Jessica in Los Angeles set her alarm at midnight on Black Friday to snag the luxury handbag she’d been eyeing; David in London had already filled his shopping cart with electronics before Cyber Monday.
Meanwhile, on the other side of the world, a group of “special buyers” are also gearing up – they don’t care about product discounts, they only care about your risk control loopholes.
“Orders increased by 300% on the first day of the promotion, but this was followed by three times the number of chargebacks and order cancellations,” revealed a manager of a cross-border e-commerce company that mainly sells outdoor equipment.
This is not an isolated case. With major annual sales events like Black Friday and Cyber Monday approaching, cross-border e-commerce companies are anticipating a surge in sales, but they are also facing a severe test of risk control.
The “traps” of the big sales season
Fraud risks strike cross-border merchants
Ghost Orders: A Fraudster’s Shopping Spree
These orders appear normal, but they are actually elaborate traps. Fraudsters exploit the surge in orders during major sales events to make purchases using stolen credit card information.
“The scariest thing is that the shipping addresses and logistics information for these orders were completely normal, so we had no idea it was a fraudulent transaction,” said a toy seller. When the actual cardholder discovers the anomaly and initiates a chargeback dispute, the merchant not only has to bear the loss of the goods but also pay additional chargeback processing fees.
Returning Goods Tricks: Professional Buyers’ “Zero-Dollar Purchases”
Some “professional buyers” are well-versed in the platform’s rules. After receiving the goods, they claim that they “do not match the description” or “have not received the goods,” demanding a full refund but refusing to return the goods. High-value items, especially electronics and luxury apparel, are most likely to become targets during major sales events.
“We once encountered an order where the customer bought two expensive coats of the same style but different sizes, but claimed that they only received one and demanded a full refund,” a fashion retailer said helplessly. “Although the logistics information showed that the package weight was sufficient to prove that both coats were there, the platform still supported the buyer.”
Intelligent risk control
Protecting against order surges
Faced with these increasingly sophisticated fraud methods, traditional manual verification is no longer sufficient. Wintranx’s intelligent risk control system has been upgraded specifically for major promotional events, building three robust lines of defense for merchants.
Chargeback warning
The chargeback warning system can predict potential risks the instant a transaction is completed. By analyzing thousands of risk characteristics, including device fingerprints, behavioral patterns, and transaction history, it can identify suspicious transactions within milliseconds.
An electronics seller said after using the system: “The chargeback alert helped us block 85% of potential fraudulent orders during major sales events, preventing losses of more than $30,000 per day.”
Merchant risk monitoring
Unlike traditional single-point detection, Wintranx’s panoramic risk control system can simultaneously monitor multiple dimensions such as transaction data, user behavior, and logistics information.
When the system detects that the same IP address places orders from different accounts within a short period of time, or that the delivery address changes abnormally frequently, it will automatically trigger a manual review process.
Especially during the Black Friday sales, we have set up special risk control strategies to conduct stricter reviews of high-value goods and orders shipped to high-risk areas.
Anti-fraud engine
The best risk control system is one that can continuously evolve as attackers’ strategies change.
Based on AI and big data machine learning algorithms, Wintranx’s anti-fraud engine automatically optimizes after each transaction, identifying new fraud patterns more than 3 times faster than traditional rules.
