Case Study: Destinia reduces friction for trusted travelers and prevents chargebacks with Sift

How Destinia reduced friction for trusted travelers across the globe

Destinia is a fast-growing, Spain-based online travel agency serving 2M+ travelers across 90+ markets with bookings in 30+ languages and inventory from 500,000+ hotels and 600 airlines. Faced with rising card‑not‑present fraud, fraud rings and occasional friendly fraud, their small manual-review team couldn’t scale to investigate hundreds of suspicious orders in a narrow time window, and chargebacks often appeared more than two months after transactions, disrupting analytics and revenue.

Destinia integrated Sift’s machine‑learning solution with one developer and one analyst, using Sift Scores, automated decisions, and data visualizations to detect fraud patterns and rings. The result was immediate: a sharp decrease in manual review time, more reliable automated decisions with fewer blind spots than rules‑based systems, reduced friction for legitimate customers, and improved ability to prevent chargebacks while gaining better user insights.

Destinia

Gustavo Tonti

Fraud Manager