Case Study: Wayfair reduces chargebacks by 78% and speeds order reviews by 20% with Signifyd

The online destination for all things home

Wayfair, the online destination for all things home with more than seven million items and nearly $1 billion in annual sales, needed to keep costs and prices low by continuously improving operational efficiency. Although it already had impressively low chargeback rates and a streamlined order review process, Wayfair sought better fraud detection and faster, more accurate reviews at scale.

By deploying Signifyd’s machine learning–driven platform and graph traversal techniques—plus a unified transaction view for analysts—Wayfair cut average order review time by 20%, reduced chargebacks by 78%, and lowered the number of orders flagged for review by 2%, while improving detection accuracy by 29%.

Wayfair