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Fraud Detection & Analytics in Travel and Hospitality industry

Fraud is a pervasive threat to the travel industry. Potential revenue losses through fraud can reach up to 1.2% of an airline’s revenue, with IATA estimates putting total lost revenue due to fraud in aviation at over $1 billion annually. For hotels, losses can be even higher at around 6% of total revenues. And beyond the financial impact, fraud can cause reputational damage and erode customer loyalty. Infosys BPM's fraud detection and analytics solutions are designed to safeguard your business from these risks. By leveraging advanced technologies and industry expertise, we provide comprehensive protection against both digital and in-person fraud, from fake baggage claims to payments triangulation schemes.

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Key benefits

Infosys BPM acts as a digital watchdog to detect and prevent fraud in your business. Our services have provided our clients potential savings in hundreds of millions of dollars.

8x ROI delivered on fraud detection solution implementation
30% Fewer manual reviews due to automation solutions
50% Fewer false positives
33% Rise in customer retention due to enhanced customer experience
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Intelligent fraud detection

Infosys BPM’s fraud detection and analytics solution has been designed to identify and prevent fraud throughout the customer journey, ensuring a safe and seamless experience during their booking and travel.

Here are the key steps of our intelligent fraud detection framework.

intelligent fraud detection framework
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Areas of expertise

Our comprehensive fraud detection and analytics solutions for T&H help you fight a wide range of threats, including customer fraud, employee fraud, help desk agent fraud, and partner fraud.

Airlines 

Customer

  • Payment Fraud / ATO
  • Payments / Chargeback fraud
  • Loyalty Fraud / Appeasement
  • Identity Theft
  • Refund Fraud
Employee / Desk Agents
  • Sweet Hearting
  • Loyalty / Miles Points Abuse
  • Promotion Abuse
  • Extra baggage fraud
  • Seat allocation / Class Upgradation Fraud
Partners
  • Stolen Cards / points
  • Promo Abuse
  • Commission avoidance
  • Counterfeit tickets

Online Travel Agents (OTA) 

Customer

  • Account Takeover
  • Payments / Chargeback fraud
  • Loyalty Program Fraud
  • Identity Theft
  • Refund Fraud
Partners
  • Fake Travel agencies
  • Fake Property listings
  • Commission avoidance
  • Collusion with customers
  • Fake reviews/bookings
  • Agency Miles bookings

Hotels/Accommodation 

Customer

  • Friendly Fraud
  • Fraudulent Prepaid Bookings
  • Stolen cards/chargebacks
Employee / Desk Agents
  • Inventory Theft
  • Cash Skimming
  • Short / Under-ringing
  • Refund Fraud
  • Sweet Hearting
  • Discount abuse
  • Complimentary & Promo abuse
  • Identification of fraudulent lost, damaged and stolen baggage claims through predictive and reactive analysis, and continuous monitoring
  • Review and improvement of policies and SOPs to ensure manual claim validation processes are effectively managing claims and identifying high risk passengers and anomalies
  • Customer contact helpdesk operations support to manage, track and resolve claims
  • Predictive analytics, anomaly detection and reporting to identify payment fraud, account takeover, disputes & chargebacks and policy abuse
  • AI automation and rule-based engine to identify potential fraud cases without manual agent intervention

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