Case Studies

Case Study: Buy Now, Pay Later

Artificial intelligence can help your business improve CX and catch more fraud too.

Read this case study to learn how an innovative fintech lender in the point of sale finance industry:

  • Achieved a 41% reduction in hurt ratio, a measure of false positives.
  • Detected 320+ fraud rings in 6 months of transactions, some of them related to over $80k in losses per syndicated attack.
  • Gained a 5x estimated review efficiency improvement.

Complimentary Case Study

An innovative American financial technology company that pioneered the point of sale finance industry by providing a quick, transparent, and more inclusive lending alternative to consumers decided it was time to rethink its fraud prevention strategy.  Fraudsters were using synthetic identities to mass register new fake accounts and then requesting loans that were never paid back. Additionally, high rates of account takeovers and promotion/benefit abuse indicated that the client had outgrown its insourced fraud model. Instead of just adding authentication measures and increasing friction for its customers, this company decided to solve the well-known industry tradeoff between customer experience and fraud prevention with machine learning.

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About DataVisor

DataVisor is the leading fraud and risk management platform powered by transformational AI technology. Using proprietary machine learning algorithms, DataVisor restores trust in digital commerce by enabling organizations to proactively detect and act on fast-evolving fraud patterns, and prevent future attacks before they happen. Combining advanced analytics and an intelligence network of more than 4B global user accounts, DataVisor protects against financial losses and reputational damage across a variety of industries, including financial services, insurance, marketplaces, ecommerce, and internet platforms.