We teamed up with Riskified to take a closer look at the hidden costs of travel e-commerce fraud and provide a strategy for how to address it in our latest report, Solving Travel's Revenue-Limiting E-Commerce Fraud Problem.
Digital purchases make up a critical and growing share of travel industry revenue. But a growing problem threatens to destroy the industry's hard-won digital gains: e-commerce fraud. As companies try to prevent this fraud, the strategies they use often make the problem worse, relying on outdated systems that increase the number of "false declines," legitimate purchases wrongly rejected due to suspected fraud. In the face of these challenges, today's best-in-class travel brands are turning to machine learning to help them solve this complicated fraud challenge and boost their revenue in the process.
Download the Report
In this report, you'll learn:
- Why current fraud systems used by most travel businesses end up costing more money than they are designed to save
- What the unique challenges are related to travel consumer purchase habits that complicate fraud detection efforts
- Why travel organizations are adopting machine-learning systems to improve their fraud prevention and detection efforts
- What the business benefits are of adopting a machine-learning approach to fraud prevention
This content was created collaboratively with our sponsor:
Connect:
No comments:
Post a Comment