AI in E-Commerce Fraud Detection for US Merchants

The Balancing Act: Stop Fraud, Not Sales

E-Commerce fraud costs US retailers billions annually (chargebacks, stolen goods). **AI** is the frontline defense, but overly strict rules can block legitimate customers.

How AI Helps

  • Behavioral Analytics: AI models analyze hundreds of data points (IP address, device fingerprint, time of day, order size) to score the risk of a transaction in real-time.
  • Link Analysis: Identifying networks of fraudulent accounts that use similar shipping addresses or payment methods.
  • Adaptive Learning: The AI learns from new fraud patterns and adjusts its rules automatically, something human rule-based systems struggle with.

The Goal

Reduce chargebacks without increasing false positives (legitimate orders被 incorrectly flagged as fraud).

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