Fraud Detection

ClaimPort's AI helps identify potentially fraudulent warranty claims, protecting your business while ensuring legitimate claims are processed quickly.

Fraud Detection Methods

Photo Analysis

• •Reverse Image Search: Detects if photos are from the internet
• •Metadata Analysis: Checks when/where photos were taken
• •Manipulation Detection: Identifies edited or altered images
• •Consistency Check: Verifies photos match the claimed product

Pattern Recognition

• •Claim History: Flags customers with unusual claim patterns
• •Velocity Checks: Detects rapid successive claims
• •Value Anomalies: Identifies claims that don't match order value
• •Geographic Patterns: Spots unusual location clusters

Behavioral Analysis

• •Submission Timing: Claims filed at unusual times
• •Communication Patterns: Scripted or copied text
• •Response Speed: Unusually fast or delayed responses
• •Device Fingerprinting: Multiple claims from same device

Risk Scoring

Every claim receives a risk score:

Low Risk (0-25)

• •First-time claimant
• •Order verified
• •Photos match product
• •Normal timing

Medium Risk (26-50)

• •Some minor flags
• •May need additional verification
• •Proceed with caution

High Risk (51-75)

• •Multiple fraud indicators
• •Recommend manual review
• •Request additional documentation

Critical Risk (76-100)

• •Strong fraud signals
• •Escalate to management
• •Consider denial or investigation

Fraud Indicators

Red Flags

• •Photos taken on different days than claim filed
• •EXIF data shows wrong location
• •Product serial doesn't match purchase
• •Multiple claims for same "damaged" item
• •Customer has previous fraud history

Yellow Flags

• •Claim filed immediately after return window
• •Photos are stock images or professional quality
• •Description matches online templates
• •Customer is aggressive or threatening

Handling Flagged Claims

Investigation Steps

1. 1.Request additional photos or documentation
2. 2.Verify order details with your platform
3. 3.Check customer communication history
4. 4.Review any previous claims from this customer
5. 5.Escalate to manager if needed

Documentation

Always document:

• •Reasons for investigation
• •Additional evidence gathered
• •Communication with customer
• •Final decision and rationale

False Positives

AI isn't perfect. If a legitimate claim is flagged:

1. 1.Review the specific flags raised
2. 2.Gather additional context
3. 3.Override the AI decision if appropriate
4. 4.The AI learns from your corrections