Customer Company Size
Mid-size Company
Region
- Africa
- America
- Asia
- Europe
Country
- Canada
- United States
Product
- Taptap Send App
- Sift Digital Trust & Safety solution
Tech Stack
- API
- Real-time machine learning model
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Cost Savings
- Customer Satisfaction
Technology Category
- Application Infrastructure & Middleware - API Integration & Management
Applicable Industries
- Finance & Insurance
Applicable Functions
- Logistics & Transportation
Use Cases
- Fraud Detection
- Real-Time Location System (RTLS)
Services
- Data Science Services
About The Customer
Taptap Send is a convenient, fast, and reliable remittance service helping customers transfer funds all across the globe—primarily from Europe to Africa and Asia. The app allows users to send money to friends and family with just a few taps and a debit card, eliminating the need to wait in line and deal with complicated fees and delayed transfers. Having moved tens of millions of dollars and reached tens of thousands of customers since launching in 2018, it was crucial for their app to ensure secure and trustworthy transactions.
The Challenge
Taptap Send, a global remittance service, was facing an increase in fraudulent payments made with stolen credit cards as their business grew. They needed a streamlined fraud prevention solution that was nimble enough to scale across international lines and quick enough to meet customers’ needs. The market for global remittances, which accounts for over $500 billion annually, is dominated by traditional services that are expensive, can take days to arrive, and have limited reach in rural areas. Taptap Send was committed to providing their customers with a speedy, secure, and hassle-free user experience.
The Solution
To provide their customers with the best remittance experience, it was critical for the Taptap Send solution to deliver first-class performance and reliable, real-time scoring. Sift partnered closely with the team to overhaul their integration and improve manual review processes to help prevent fraud payments made with stolen credit cards. The workflow helps to make instant decisions on orders, including which to send to 3DS, which to block, and which to allow based on the Sift Score as well their own internally-maintained rules system. Through the Sift Console, the analyst team can easily search for all the data they need in one place, reducing the need for more complicated software. With Sift, the app is now successfully preventing payment fraud while providing a convenient, trusted, and fast experience to their expanding base of customers.
Operational Impact
Quantitative Benefit
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