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Identifying and flagging high-risk transactions

Purpose

 1.1. Automate the identification and flagging of high-risk transactions to reduce fraud, ensure regulatory compliance, and protect store revenue.
 1.2. Automatedly analyze orders in real-time for suspicious activity, such as abnormal order values or mismatched billing/shipping data.
 1.3. Automating the escalation of risky orders for review, holding fulfillment until manual validation, ensuring retail integrity.
 1.4. Automate the compilation of risk reports for business analytics and audit trails.

Trigger Conditions

 2.1. Automated detection of orders exceeding preset value thresholds.
 2.2. Orders with mismatched billing and shipping addresses automatically flagged.
 2.3. Automate analysis of payment method anomalies (e.g., repeated payment failures).
 2.4. Automated flagging of orders placed from banned or high-risk geographic regions.
 2.5. Automating identification of new customers with purchase patterns resembling prior fraud.

Platform Variants

 3.1. Stripe
  • Feature/Setting: Radar Rules; automate fraud analysis and flagging via custom rule configuration.
  • Sample: `"if:amount > 50000 or is_high_risk: true, then: flag_for_review"`
 3.2. Shopify
  • Feature/Setting: Fraud Protect/Shopify Flow; automate rules using condition/trigger blocks for transaction monitoring.
  • Sample: Set flow to "If order flagged as high risk, notify staff & pause fulfillment."
 3.3. PayPal
  • Feature/Setting: Fraud Management Filters; automate blocking or flagging transactions via risk filter configuration.
  • Sample: Block by country, limit, or IP risk.
 3.4. WooCommerce
  • Feature/Setting: Anti-Fraud Plugin API; automate flagging by configuring score thresholds.
  • Sample: Actions triggered for orders scoring above 70/100 risk.
 3.5. Square
  • Feature/Setting: Risk Insights API; automatedly pull risk scores and flag suspicious orders for manual review.
  • Sample: Use `GET /v2/orders/{order_id}/risk` and automate action if flagged.
 3.6. Adyen
  • Feature/Setting: Risk Management; automate detection with dynamic 3D Secure settings and risk rules.
  • Sample: Automate multiple checks (e.g., AVS, Card country, amount threshold).
 3.7. Magento
  • Feature/Setting: Fraud Protection extension/API; automate flagging with custom workflow rules.
  • Sample: Tag high-value orders for admin review.
 3.8. BigCommerce
  • Feature/Setting: Fraud Prevention Apps/API; automate alerts for flagged transactions with webhook triggers.
  • Sample: Integrate automated Slack/email alerts for risky transactions.
 3.9. Zoho Inventory
  • Feature/Setting: Automation workflows; automate creation of flagged order lists based on custom criteria.
  • Sample: If payment email not matching, automate flagging.
 3.10. SAP Commerce Cloud
  • Feature/Setting: Fraud Detection Module; automate risk analysis using preset and custom attributes.
  • Sample: Orders outside configured norms flagged for review.
 3.11. Salesforce Commerce Cloud
  • Feature/Setting: Fraud detection cartridge/API; automate rule-based risk actions.
  • Sample: If shipping region blacklisted, tag and automate alert.
 3.12. Riskified
  • Feature/Setting: Automated guarantee; connect API for automated risk evaluation on every transaction.
  • Sample: `POST /api/validate` then flag result true/false for fraud.
 3.13. Kount
  • Feature/Setting: Automated risk scoring; integrate rules to automate flagging on risk score return.
  • Sample: Score > 75 triggers automated hold.
 3.14. Signifyd
  • Feature/Setting: Automated order review; use webhook/API to receive fraud status and automate processing.
  • Sample: "Case created" webhook event automates order hold.
 3.15. FraudLabs Pro
  • Feature/Setting: Real-time validation API; automate flagging using custom transaction risk logic.
  • Sample: Call API, parse risk level; automate alert if above medium.
 3.16. Sift
  • Feature/Setting: Sift Score API; automate order status update if risk score > defined value.
  • Sample: "Sift score > 80 → automatedly mark as review".
 3.17. ClearSale
  • Feature/Setting: Automated API assessment; rules for automating hold/approve/decline.
  • Sample: "Auto-hold on risk flag true".
 3.18. Recurly
  • Feature/Setting: Dunning Management API; automate action on subscription billing fraud triggers.
  • Sample: On dunning event, automate risk workflows.
 3.19. Chargebacks911
  • Feature/Setting: Dispute/Fraud API; automate alerts and reporting on flagged transactions.
  • Sample: Trigger Slack alert automatedly.
 3.20. Mailgun
  • Feature/Setting: Transactional email API; automate notification to team on high-risk flagged order.
  • Sample: If flagged, auto-send "manual review needed" mail.

Benefits

 4.1. Automates the fraud prevention process, reducing manual workload and response time.
 4.2. Enhances accuracy of suspicious order detection using automated, real-time logic.
 4.3. Automatedly aggregates risk insights for continuous process improvement.
 4.4. Automates regulatory compliance and audit readiness with well-documented risk flagging workflows.
 4.5. Automating the escalation and notification cycle maximizes protection against fraud and ensures customer trust.

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