Case Study: OpenTable reduces manual fraud review and streamlines checkout with Sift Science

Opentable - Customer Case Study

OpenTable, a restaurant reservation service, faced a challenge in scaling its digital gift card program. With cards delivered in real-time, they had little opportunity for manual review and needed to keep friction low for their users to ensure a great experience. They turned to Sift Science for a solution.

By implementing Sift Science, OpenTable automated its fraud-prevention process. This solution provided highly accurate detection, which led to an 80% reduction in manual review and a 200% increase in detection accuracy. The results from Sift enabled OpenTable to confidently streamline the checkout process for good users while effectively managing risk.

OpenTable

Robbie Fritts

Fraud Team Leader