Customer Fraud Analyzer

Device emulation, repeated refund claims, and account farms

Customers on delivery platforms can engage in systematic fraud: creating multiple accounts to exploit promotions, repeatedly claiming refunds for orders they received, using device emulation to appear as new users, and operating account farms for resale schemes.

Real-time scoring: Every order assessed for customer fraud risk
Refund claim evaluation: Automatic scoring of refund requests
Customer risk ranking with fraud probability scores
Refund abuse metrics showing claim rates by customer segment

Customer Fraud Ring Detected

Account farm identified • 47 linked accounts

Critical
Linked Accounts
47
Device Matches
12
Promo Abuse
$8.4K
Refund Claims
89%claim rate
Fraud Signals
Same device ID12 accounts
Address cluster3 locations
Payment patternPrepaid cards
Agent Recommendations
Block account farmDevice blacklistChargeback review

Built for fraud teams who protect every transaction

Customers on delivery platforms can engage in systematic fraud: creating multiple accounts to exploit promotions, repeatedly claiming refunds for orders they received, using device emulation to appear as new users, and operating account farms for resale schemes.

Fraud Directors

Strategic oversight & escalation

Risk Analysts

Data-driven insights

Trust & Safety Leads

Investigation Managers

Deep, consistent analysis

From alert to action in minutes

The objective of this agent is to identify customers systematically exploiting platform policies.

Step 1

The Trigger

You define when the agent should activate. When conditions are met, it starts working automatically.

  • Real-time scoring: Every order assessed for customer fraud risk
  • Refund claim evaluation: Automatic scoring of refund requests
  • Multi-account alert: Triggers when account clustering is detected
Step 2

360° View

The agent opens a tailored dashboard consolidating data from all your systems.

  • Customer risk ranking with fraud probability scores
  • Refund abuse metrics showing claim rates by customer segment
  • Multi-account clusters visualizing linked accounts
Step 3

Automated Analysis

The agent follows a structured analysis flow, combining checks with exploratory reasoning.

  • Refund pattern analysis: Compares customer refund rates to population baselines
  • Device forensics: Detects emulators, rooted devices, and spoofing
  • Account clustering: Links accounts through device, address, and payment signals
Step 4

Actionable Output

After analysis, the agent creates a human-friendly report with everything your team needs.

  • Executive summary: Platform-wide customer fraud metrics
  • High-risk customers: Ranked list requiring action
  • Refund abuse cases: Customers with systematic false claims
Step 5

Delivery

Reports are sent automatically via email or accessed directly in Veezoo.

Key benefits for fraud teams

Concrete, measurable value for your team from day one

Early Warning

Systematic fraud detection

Catch organized abuse, not just individual bad actors.

Early Warning

Device intelligence

Detect emulation and spoofing that masks multi-accounting.

Key Benefit

Refund protection

Distinguish false claims from legitimate issues.

Up and runningin production in weeks

To deploy this Agent, you connect Veezoo to your existing Data Warehouse, typically containing data from:

Order data: Transactions, items, delivery status
Customer data: Accounts, activity history, demographics
Device data: Fingerprints, IPs, device attributes, emulation signals
Refund data: Claims, reasons, approval history
Device
Account
Refund
Pattern
Customer
Fraud

Ready to explore Customer Fraud Analyzer?

Fully customizable to your workflows, data sources, and business requirements.

Typical initial implementation in weeks, not months.