AI-Based Guest Identity Verification & Booking Fraud Prevention for a Hospitality Chain
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AI-Based Guest Identity Verification & Booking Fraud Prevention for a Hospitality Chain

Overview
Technical Stack











Industry

Region

Project Size
Highlights
AI-powered real-time guest ID verification.
Checking document authenticity for forged IDs.
AI-based booking fraud pattern.
Automated alerts for high risks.
Reduction in fake and fraudulent check-ins.
Check-in time reduced from 5-7 mins to 10 secs.
Front desk load reduced by 40% during peak time.
Improved trust ratio of the customers.
Seamless digital onboard experience.
Challenges
Solutions
Challenges & Solutions
Risk of high fraudulent check-ins and fake IDs
To authenticate guests, integrated AI-powered identification verification with OCR.
Delayed responses due to manual check of IDs
The automated verification process reduced check-in time with improved operational efficiency.
Lack of compliance and regulations
Implemented an automated KYC workflow to ensure guest privacy and regulatory compliance.
Higher operational workload for the front desk staff .
The ready-to-use self-service option reduced the front desk workload.
No system to check fraudulent booking patterns .
The AI algorithm helped understand the booking pattern and provide real-time alerts on fraudulent activity.
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Core Features
- Reduction in document verification and fraudulent IDs by 90%
- Automated KYC compliance.
- Detection of fraudulent booking patterns.
- Encrypted user privacy data protection.
- Real-time dashboard for analytics and reports.
- Multi-channel self-verification.
Conclusion:

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