How AI is Changing Fraud Detection in E-commerce

Rule-based fraud detection systems are becoming obsolete. Fraudsters figure out the rules (e.g., "Don't return more than 3 items a month") and simply adjust their behavior to stay just under the threshold.

The Machine Learning Approach

Modern AI models, like the ones used by ReturnShield, don't rely on static rules. Instead, they look at hundreds of micro-signals:

• Time elapsed between delivery and return request
• Device IP velocity
• Variant sizing combinations in a single order
• Historical behavior of similar cohorts

By analyzing these vectors simultaneously, AI can detect "soft" fraud that a human reviewer or static rule would miss.