Case Study: Logitravel achieves scalable, data-driven fraud prevention with Sift

How Logitravel serves international travelers while keeping fraud low

Logitravel is an online travel agency selling cruises, flights, hotels, cars, trains, ferries and bundled travel products across Spain, Portugal, Italy, Mexico and other growing markets. As it expanded and launched mobile apps, the small team faced diverse fraud—organized rings, geography-specific abuse, friendly fraud, phishing and account takeover—and found their legacy rules-based solution couldn’t scale to keep up.

They integrated Sift, trained its machine-learning model with historical labeled data, and automated reviews using Sift Scores, the Console, Score API, Lists and network visualizations. The result was streamlined, data-driven investigations that reduced manual work (avoiding an estimated 30-person review burden), improved detection accuracy and faster trend discovery, letting Logitravel preemptively flag linked accounts and keep fraud low.

Logitravel

Gaspar Salva

Revenue Protection Analyst