Sift
Case Studies
Stopping credit card fraud, saving time and money
Overview
Stopping credit card fraud, saving time and moneySift |
Analytics & Modeling - Machine Learning | |
Retail | |
Sales & Marketing | |
Fraud Detection | |
Data Science Services | |
Operational Impact
With Sift, StackCommerce has reduced their chargeback loss rate by 25%, saving more than $2,000 per month on chargeback fees. | |
Despite a 30% increase in monthly order volume since implementing Sift, the StackCommerce team hasn’t had to hire additional staff to manage fraud. | |
They are now down to a single employee spending no more than two hours per day on manual review. | |
Quantitative Benefit
25% Drop in chargeback rate | |
5x ROI with Sift | |