Ticketing and tourism merchants manage complex booking and fulfillment flows across in-person and online channels. That operational mix often drives:

• Higher dispute exposure in card-not-present channels
• Legitimate service-delivery disputes for venue-based ticketing
• Underwriting scrutiny and reserve requirements
• Expensive, slow, manual dispute management processes

Result? Margin erosion, cash-flow volatility, and increased operational burden.

1. Real-Time Risk Scoring at Checkout

Machine-learning models evaluate transaction risk as bookings occur, flagging suspicious activity before authorization. The system can prompt for ID verification, require additional customer confirmation, or temporarily hold high-risk transactions.

2. Automated Evidence Collection

All event-specific and transaction-level data is centralized automatically:

• POS and booking metadata
• Ticket issuance, barcode scans, and entry logs
• Terms and refund policy acknowledgements
• Communications and delivery confirmation

3. Rapid, Template-Driven Dispute Responses

AI compiles the correct evidence for each dispute reason code and submits it in a standardized, issuer-friendly format — accelerating resolution cycles and improving win rates.

• Meaningful chargeback reductions within 3–6 months
• Higher win rates through structured evidence and automation
• Faster responses (days vs. weeks)
• Reduced reserves and improved underwriting profiles

Outcomes vary based on data quality, event type, and operational maturity.