Sales & Payment ProcessingPurpose
1.2. Automatically identify, flag, and alert staff to suspicious payments across online and in-store sales for Home & Living retail operations.
1.3. Reduce chargebacks and lost revenue by automatedly monitoring high-ticket BBQ and grill purchases for unusual activity or patterns.
1.4. Secure customer data and peace of mind via automating compliance and fraud incident workflows.
1.5. Automate follow-up steps with rule-based intervention, even triggering account suspension actions or required manual review.
Trigger Conditions
2.2. Trigger automation on unusual geolocation, purchase frequency, or device fingerprints.
2.3. Automate alerts if transaction matches characteristics of known fraud (e.g., mismatched billing/shipping or rapid repeat attempts).
2.4. Initiate automation based on velocity checks (e.g., too many purchases in a short period).
2.5. Launch automation upon declined payment attempts or failed 3D Secure authentication.
Platform Variants
• Feature/Setting: “Radar” fraud detection rules; configure rule for “high-risk transaction” event.
3.2. PayPal
• Feature/Setting: “Fraud Management Filters” API; set automated filter for suspicious activity.
3.3. Square
• Feature/Setting: “Risk Evaluation” in Square Payments API; automate alerts on flagged transactions.
3.4. Authorize.Net
• Feature/Setting: Automated Advanced Fraud Detection Suite (AFDS); configure triggers for “velocity filter.”
3.5. Braintree
• Feature/Setting: Automated “Fraud Protection”; set action for webhook notification on fraud risk.
3.6. Shopify
• Feature/Setting: Fraud Analysis; trigger with “order risk” webhook for automation in payment workflow.
3.7. WooCommerce
• Feature/Setting: Anti-fraud plugin API; automate with trigger on “order flagged as high-risk.”
3.8. Magento
• Feature/Setting: “Fraud Protection” extension’s webhook; automate processing on flagged orders.
3.9. BigCommerce
• Feature/Setting: Fraud alerts API; configure automation for “potential fraud” event.
3.10. Salesforce Commerce Cloud
• Feature/Setting: Einstein “Fraud Detection” API; automate secondary review on flagged sales.
3.11. SAP Commerce Cloud
• Feature/Setting: Fraud detection module; configure webhooks for high-risk orders automatedly.
3.12. Oracle Netsuite
• Feature/Setting: Payment management fraud alerts; automate notification via SuiteScript triggers.
3.13. Adyen
• Feature/Setting: Risk engine real-time webhook; automate action on “case creation” for review.
3.14. Worldpay
• Feature/Setting: FraudSight rules engine; automate alerting on risk scoring events.
3.15. Amazon Pay
• Feature/Setting: Automated suspicious activity notification webhook; configure fraud scenarios.
3.16. Klarna
• Feature/Setting: Automated fraud notification push; integrate webhook on flagged payments.
3.17. Fiserv (First Data)
• Feature/Setting: Automated risk engine notification; configures rule for high-risk indicators.
3.18. Twilio
• Feature/Setting: SMS Notify API; automate alert message delivery to fraud response team.
3.19. SendGrid
• Feature/Setting: Email Automatedly send notification upon fraud event trigger.
3.20. Slack
• Feature/Setting: Incoming webhook; automate alert for specific “suspicious transaction” detection.
Benefits
4.2. Automation decreases time-to-alert, mitigating potential loss.
4.3. Automate data capture for compliance and audit trails.
4.4. Automated alerts can escalate issues directly to security teams in real-time.
4.5. Automation of fraud workflows improves store reputation and customer trust.
4.6. Automating account interventions prevents fraud recurrence before losses mount.
4.7. Automate cross-platform data sync for better fraud analytics and consolidated reporting.