Sift
Case Studies
How Touch of Modern saves thousands by staying ahead of fraud rings
Overview
How Touch of Modern saves thousands by staying ahead of fraud ringsSift |
Analytics & Modeling - Real Time Analytics Application Infrastructure & Middleware - API Integration & Management | |
Retail | |
Business Operation Sales & Marketing | |
Fraud Detection | |
System Integration | |
Operational Impact
By uncovering fraud rings through Sift’s Network Visualizations, Touch of Modern was able to prevent thousands of dollars in potential losses. | |
Touch of Modern’s machine-learning model is specially customized, learning the unique fraud patterns and signals for its business. | |
Sift’s API enables Touch of Modern to provide automatic feedback that improves its results. | |
Quantitative Benefit
Prevented thousands of dollars in potential losses by uncovering fraud rings. | |
Saved over $100,000 from stopping an initial fraudulent order and identifying related users. | |