Real-time fraud alert and suspicious transaction monitoring

Purpose

1.1. To automate real-time fraud alerts and suspicious transaction monitoring in confectionery wholesale for proactive risk mitigation and compliance.
1.2. Automating identification of anomalous patterns in financial transactions to prevent fraud, ensure audit readiness, and meet regulatory requirements.
1.3. Automatedly trigger escalation and notification to finance, compliance, and IT teams for immediate action.
1.4. Provide end-to-end automated traceability and logging to support ongoing investigations and reporting.

Trigger Conditions

2.1. Automated detection of high-value transactions exceeding defined thresholds.
2.2. Multiple failed payment attempts or reversed transactions within a short timeframe.
2.3. Sudden deviation in buying patterns by regular wholesale clients.
2.4. Transactions originating from flagged locations, IPs, or accounts.
2.5. Rapid changes in bank account or payment method details.
2.6. Automated flagging of unusual refunds or chargebacks.

Platform Variants

3.1. Twilio
• Function: SMS Alert
• Automate: Configure SMS trigger for flagged events using Twilio API (POST /Messages).
3.2. SendGrid
• Function: Email Notification
• Automate: Use SendGrid API (POST /mail/send) for immediate team alerts.
3.3. Microsoft Teams
• Function: Real-time Channel Alert
• Automate: Use Teams Webhook to send fraud alert message to finance channel automatedly.
3.4. Slack
• Function: Automated Suspicious Activity Ping
• Automate: Configure Incoming Webhook for incident notification to compliance workspace.
3.5. AWS Lambda
• Function: Event-Driven Processing
• Automate: Use Lambda Function to process transaction data and run fraud detection scripts.
3.6. Azure Logic Apps
• Function: Workflow Automation
• Automate: Build Logic App to orchestrate fraud checks and send automated alerts.
3.7. Google Cloud Functions
• Function: Automated Transaction Analysis
• Automate: Deploy function to scan and flag anomalies in real time.
3.8. Stripe Radar
• Function: Payment Risk Monitoring
• Automate: Enable Radar Rules to trigger automated fraud workflows for large transactions.
3.9. Salesforce
• Function: Case Automation
• Automate: Configure Process Builder to create compliance cases for flagged transactions.
3.10. SAP
• Function: Integration with Finance Module
• Automate: Use SAP Event Mesh to push real-time alerts to compliance desk.
3.11. Oracle Cloud ERP
• Function: Risk Event Orchestration
• Automate: Automate policy-based triggers with Oracle Orchestration API.
3.12. PagerDuty
• Function: Incident Escalation
• Automate: API-triggered incident creation for suspicious activity.
3.13. Jira Service Management
• Function: Ticket Automation
• Automate: Automatedly create ticket for every detected fraud alert using REST API.
3.14. ServiceNow
• Function: Actionable Alert Creation
• Automate: Use ServiceNow IntegrationHub for automatic incident creation.
3.15. Google BigQuery
• Function: Transaction Query Automation
• Automate: Scheduled query to detect and flag outliers, pushing results via Pub/Sub.
3.16. Snowflake
• Function: Data Flagging
• Automate: Build rule-based alerts for suspicious data using Snowflake Streams and Tasks.
3.17. IBM Cloud Functions
• Function: Security Automation
• Automate: Fire a function on event stream anomalies from transaction records.
3.18. HubSpot
• Function: Automated Contact Flagging
• Automate: Custom workflow to update contact records upon suspicious financing activity.
3.19. Zendesk
• Function: Support Ticket Automation
• Automate: Auto-create high-priority support tickets for fraud cases via API.
3.20. Auth0
• Function: Authentication Anomaly Alert
• Automate: Enable anomaly detection for login irregularities and automated notifications.

Benefits

4.1. Accelerates fraud detection to prevent financial losses and automate compliance processes.
4.2. Enables instant automated response and internal communication for risk reduction.
4.3. Provides auditable, automated trails for compliance with food & beverage wholesale industry standards.
4.4. Reduces manual workload and human error with scalable automation flows.
4.5. Supports continuous improvement of risk scenarios by automating analytics.