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Revenue leakage monitoring and alerting

Purpose

1.1. Detect, prevent, and alert on discrepancies or revenue losses in airline ticket sales and agency commissions, addressing uncollected payments, system mismatches, chargebacks, refund errors, and ticketing system anomalies across multiple distribution channels.
1.2. Monitor data from GDS, payment providers, ERP/CRM systems, and reconcile transactions in near real-time to ensure revenue integrity and compliance with airline, agency, and regulatory requirements.

Trigger Conditions

2.1. Mismatch between ticket issuance and payment confirmation in ERP/CRM.
2.2. Failed or partially processed bookings detected in GDS logs.
2.3. Refunds issued without matching credit transactions.
2.4. Sudden drop in expected daily/weekly revenue by preset percentage threshold.
2.5. Alerts from payment gateway API on chargebacks above a certain limit.
2.6. Incomplete commission payment from airline or consolidator.
2.7. Data discrepancy flagged during nightly reconciliation batch.

Platform variants

3.1. Salesforce
• Feature/Setting: Configure Opportunity/Payment Object Workflow Rules; set outbound messages to fire on revenue field changes.
3.2. SAP ERP
• Feature/Setting: Use SAP Business Workflow with transaction event triggers on billing/invoice tables (e.g., VBRK); enable alert messages for anomalies.
3.3. Amadeus for Developers API
• Feature/Setting: Monitor /booking/ticketing GET endpoints; trigger alerts on booking-status or fare-discrepancy fields.
3.4. Sabre APIs
• Feature/Setting: Poll EnhancedTicket service; flag tickets without payment token match.
3.5. Galileo Travelport API
• Feature/Setting: Schedule automated extraction from ticket database; compare against payments endpoint.
3.6. Worldspan API
• Feature/Setting: Implement notification on incomplete ticket-issue or refund transaction via Web Services.
3.7. Oracle NetSuite
• Feature/Setting: Schedule saved searches on Sales Orders/Payments; trigger SuiteScript on mismatch.
3.8. Microsoft Power Automate
• Feature/Setting: Automated cloud flow; monitor email receipts, trigger Teams/Outlook alerts.
3.9. Stripe
• Feature/Setting: Set up Webhook for payment_intent.payment_failed and charge.refunded events; trigger notification on failed or suspicious transactions.
3.10. PayPal API
• Feature/Setting: Webhooks for PAYMENT.SALE.REFUNDED or RISK.DISPUTE.CREATED; process and cross-reference ticket system.
3.11. Xero
• Feature/Setting: API endpoint GET /payments; schedule daily comparison with issued tickets export.
3.12. QuickBooks Online
• Feature/Setting: Use Reporting API to reconcile sales receipt vs ticket data; trigger email alerts on variance.
3.13. Zendesk
• Feature/Setting: Ticket triggers for revenue query keywords; auto-create internal alert tickets.
3.14. Slack
• Feature/Setting: Configure incoming webhooks or Slack API chat.postMessage for real-time alert delivery to finance or ticketing channels.
3.15. Twilio SMS
• Feature/Setting: Set programmable SMS API to notify financial controllers on leakage incidents.
3.16. SendGrid
• Feature/Setting: Email automation via Mail Send API when leakage conditions met.
3.17. Airtable
• Feature/Setting: Use scripting block to cross-verify revenue entries; send notifications on unmatched records.
3.18. Google Sheets
• Feature/Setting: Script custom Apps Script comparison between ticket logs and payment records; trigger Gmail API email alert.
3.19. MongoDB Atlas
• Feature/Setting: Use Triggers (Functions/Change Streams) to watch for inconsistency in revenue collections; call webhook for alerting.
3.20. AWS Lambda
• Feature/Setting: Scheduled function to analyze/export system data and trigger SNS notification on leakage criteria.
3.21. ServiceNow
• Feature/Setting: Business rules to generate incidents when discrepancies detected in finance module.
3.22. HubSpot
• Feature/Setting: Workflow triggered on deal property changes; notification or task assignment on commission gaps.

Benefits

4.1. Real-time detection of revenue leakage prevents further loss and enables timely intervention.
4.2. Automated cross-system reconciliation reduces manual workload and human error.
4.3. Multi-channel alerts keep relevant teams instantly informed.
4.4. Data transparency improves trust with stakeholders and regulatory compliance.
4.5. Process consistently adaptable as workflows and sales channels evolve.

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