Reducing friction for good travelers across the globe
公司规模
200-1,000
地区
- Europe
国家
- Spain
产品
- Sift
技术栈
- Machine Learning
- APIs
实施规模
- Enterprise-wide Deployment
影响指标
- Cost Savings
- Customer Satisfaction
- Productivity Improvements
技术
- 分析与建模 - 机器学习
- 应用基础设施与中间件 - API 集成与管理
适用功能
- 商业运营
- 销售与市场营销
用例
- 欺诈识别
服务
- 数据科学服务
关于客户
Destinia is a rapidly-growing, Spain-based online travel agency (OTA) with offices in Madrid, Cairo, Dubai, and Tehran. There are more than 2 million global travelers using Destinia’s services in 90+ markets. Their website is accessible in over 30 languages, and offers over 500,000 hotels, 600 airlines, and all the travel-related services a traveler might need. The company is among the top 5 OTAs in Spain, and sees 70% of users booking through desktop and 30% on mobile. Destinia is committed to a great experience for both their customers and their business partners, and has worked to stay competitive in an ever-changing market.
挑战
Destinia, a Spain-based online travel agency, faced challenges with payment fraud, fraud rings, and occasional friendly fraud due to the global nature of its offerings. The quick access to flights, hotels, and other digital bookings made manual review unscalable, as the team had a narrow window to investigate hundreds of suspicious orders daily. When chargebacks did hit, it often took over two months for the fees to appear in Destinia’s books, affecting analytics. To prevent chargebacks, rather than simply respond to them, Destinia felt that it was necessary to invest in a solution that required less hands-on maintenance and increased the team’s efficiency.
解决方案
Destinia turned to machine learning to stay ahead of the inevitable surge in fraud. After much research and deliberation, Destinia came across Sift and found that its products came highly recommended among other OTAs and businesses in the travel industry. Destinia committed one developer and one analyst to integrating Sift, and they found the APIs to be clearly documented and very user friendly. Once the solution was in place, Destinia was pleasantly surprised with the speed and accuracy of the Sift Scores and data visualizations. This ratio of high accuracy to low time was essential in proving Sift’s value early on; a rules-based system would have required extensive analysis and continual creation of new rules in order to compete.
运营影响
数量效益
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