How Touch of Modern saves thousands by staying ahead of fraud rings
公司规模
200-1,000
地区
- America
国家
- United States
产品
- Sift
技术栈
- Sift APIs
- Network Visualization tool
实施规模
- Enterprise-wide Deployment
影响指标
- Cost Savings
- Customer Satisfaction
技术
- 分析与建模 - 实时分析
- 应用基础设施与中间件 - API 集成与管理
适用行业
- 零售
适用功能
- 商业运营
- 销售与市场营销
用例
- 欺诈识别
服务
- 系统集成
关于客户
Touch of Modern is an online destination for the contemporary man to access daily sales on curated designer products. Their members-only e-commerce site and mobile apps allow users to easily discover and purchase interesting electronics, gadgets, fashion, furniture, and accessories at a variety of price points, ranging from low-cost phone accessories to high-end electronics and luxury watches. The company prioritizes customer experience and strives to maintain a low fraud rate. As the company grew, it faced an increasing amount of fraud, which it initially absorbed by paying the costs of any chargebacks incurred.
挑战
Touch of Modern, an online destination for curated designer products, was facing an increasing amount of fraud as the company grew. Initially, the company simply absorbed the cost of any chargebacks due to fraud, but this approach was not scalable. The company's customer service team had a very limited window to stop fraud, between processing an order and shipping it. They needed a solution that could accurately stop fraud without blocking legitimate users. The solution also needed to scale with their business, integrate with their internal systems, and automate decision-making to ensure quick processing and fulfillment times.
解决方案
Touch of Modern integrated Sift, a fraud solution that met all their criteria. Sift was integrated in a single day and immediately proved its value by detecting fraud rings among Touch of Modern’s users. Sift’s most powerful feature, according to Steven Ou, Touch of Modern’s CTO, is its ability to detect hidden and complex connections between users. Through the Network Visualization tool, Touch of Modern can easily prevent waves of fraud by unearthing hidden networks. Sift’s APIs provided the convenience and functionality that Steven needed. Touch of Modern pulled Sift Scores directly into its internal consoles using the Score API, which allowed Touch of Modern to quickly decide which orders to approve, block, or review, based on analysis of Sift’s machine-learning algorithms.
运营影响
数量效益
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