Sift Case Studies Serving international travelers and keeping fraud low

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	Serving international travelers and keeping fraud low Sift

Serving international travelers and keeping fraud low

Sift

Technology Category	Analytics & Modeling - Machine Learning
Applicable Functions	Sales & Marketing
Use Cases	Fraud Detection
Services	Data Science Services
Challenge	Logitravel, an online travel agency, was facing a significant challenge with fraud as they expanded into new markets. They were vulnerable to various types of fraud, including organized crime fraud rings, friendly fraud in contested ticket sales, and phishing and account takeover. Their existing third-party rules-based fraud solution was unable to keep up with their growing business and evolving markets. After a particularly destructive barrage of fraud, they realized they needed a more robust and scalable solution. Read More
About Customer	Logitravel is an online travel agency (OTA) that sells a variety of travel-related tickets and product bundles, including cruises, flights, hotels, cars, trains, ferries, and shows. The company has a strong presence in Spain, Portugal, Italy, and Mexico, and is expanding into Argentina, Russia, and other countries. The company was founded by technically-minded individuals and has a strong focus on systems. As they expand into new markets, they need a tool to help them identify trustworthy and legitimate users and efficiently identify scammers. Currently, 95% of their customers come via their website. Read More
Solution	Logitravel turned to Sift, a machine learning-based fraud detection solution. They trained the algorithm with historical data and sent labels to teach the machine what good and bad customer behavior looked like. The system now runs quietly and efficiently in the background. Suspicious orders are automatically held for review, with the Sift Console providing a data-rich pop-up of investigation tools for the team. The APIs allow Logitravel to easily take advantage of the machine learning findings, making every reviewed transaction more effective. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Machine Learning

Applicable Functions

Sales & Marketing

Use Cases

Fraud Detection

Services

Data Science Services

Challenge

Logitravel, an online travel agency, was facing a significant challenge with fraud as they expanded into new markets. They were vulnerable to various types of fraud, including organized crime fraud rings, friendly fraud in contested ticket sales, and phishing and account takeover. Their existing third-party rules-based fraud solution was unable to keep up with their growing business and evolving markets. After a particularly destructive barrage of fraud, they realized they needed a more robust and scalable solution.

About Customer

Logitravel is an online travel agency (OTA) that sells a variety of travel-related tickets and product bundles, including cruises, flights, hotels, cars, trains, ferries, and shows. The company has a strong presence in Spain, Portugal, Italy, and Mexico, and is expanding into Argentina, Russia, and other countries. The company was founded by technically-minded individuals and has a strong focus on systems. As they expand into new markets, they need a tool to help them identify trustworthy and legitimate users and efficiently identify scammers. Currently, 95% of their customers come via their website.

Solution

Logitravel turned to Sift, a machine learning-based fraud detection solution. They trained the algorithm with historical data and sent labels to teach the machine what good and bad customer behavior looked like. The system now runs quietly and efficiently in the background. Suspicious orders are automatically held for review, with the Sift Console providing a data-rich pop-up of investigation tools for the team. The APIs allow Logitravel to easily take advantage of the machine learning findings, making every reviewed transaction more effective.

Impact #1	The Sift solution has been running quietly and efficiently in the background, automatically holding suspicious orders for review.
Impact #2	The Sift Console provides a data-rich pop-up of investigation tools for the team, making it easy to find and investigate transactions and activity.
Impact #3	The network visualizations offer a powerful lens into how suspicious users are connected, allowing Logitravel to preemptively flag potentially linked users.

Impact #1

The Sift solution has been running quietly and efficiently in the background, automatically holding suspicious orders for review.

Impact #2

The Sift Console provides a data-rich pop-up of investigation tools for the team, making it easy to find and investigate transactions and activity.

Impact #3

The network visualizations offer a powerful lens into how suspicious users are connected, allowing Logitravel to preemptively flag potentially linked users.

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Overview

Serving international travelers and keeping fraud low

Operational Impact