Case Study: Lunchbox Builds Lasting Customer Loyalty with Sift
Key results
The challenge
Lunchbox provides restaurant technology to enterprise chains across 5,000+ locations and processes a high volume of digital transactions. As a rapidly growing platform, it faced increased rates of payment fraud, leading to costly chargebacks and lost revenue that threatened customer trust and increased operational costs.
The solution
Lunchbox implemented Sift to predictively stop fraud, replacing traditional manual methods with real-time, proactive detection across its digital ordering platform.
“We chose Sift because they are simply the best at what they do, offering unparalleled accuracy, reliability, and ease of integration.”
GDGian Luca D'Intino-ConteDirector of IT & Compliance, Lunchbox
The results, in context
When Lunchbox was targeted by a coordinated BIN attack using seemingly legitimate credentials and rotating IPs, Sift blocked over 63,000 fraudulent orders attempted across a 48-hour period. In that one attack alone, Sift prevented over $1.5M in fraudulent orders over the course of a few months, and support teams reported significantly fewer fraud-related complaints.