Case Study: Touch of Modern achieves thousands in fraud loss prevention by stopping fraud rings with Sift

How Touch of Modern saves thousands by staying ahead of fraud rings

Touch of Modern is a members-only e-commerce site that curates designer electronics, fashion, furniture, and accessories for contemporary men. As the company grew, fraud increased and their customer service team had only the brief window between order processing and shipping to stop it — they needed a scalable, automated solution that would accurately block fraud without creating friction for legitimate customers.

Touch of Modern integrated Sift in a single day and used its machine-learning scores, Score API, and Network Visualization to uncover hidden fraud rings and make instant order decisions. The result: thousands of dollars in potential losses prevented (with isolated cases that could have saved over $100,000 by stopping connected actors), continual accuracy improvements from feedback, and the ability to stop networks of fraud while preserving a smooth customer experience.

Touch of Modern

Steven Ou

Chief Technology Officer