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Case Studies

Ecommerce Giant Accelerates Manual Reviews with DataVisor

A multinational ecommerce giant selling high-value consumer electronics and digital goods and services needed a streamlined way to distinguish fraudsters from real users.

However, they faced a few hurdles:

  • Traditional ID verification methods couldn’t tell good users from bad.
  • There had no way to streamline manual case reviews.
  • Decisioning was imprecise, complicating customer transactions.

The Results

60%

Reduction in Fraud Losses

60%

Reduction in Fraud Losses

60%

Reduction in Fraud Losses

The Results

  • 99%
    Increase in fraud detection
  • 3x
    Reduction in false positives
  • 10x
    Revenue Uplift
  • DataVisor’s platform helped distinguish between good and bad customers rapidly, enabling the client to meet SLAs for transaction approvals.
  • DataVisor revealed linkages between customers accounts, cards and transactions with fuzzy matching and customized logic.
  • Accelerated manual reviews of high-risk transactions visualized connections between fraud signals across multiple data sources.
  • Streamlined case management workflows enabled traceability to satisfy audit requirements.
ecommerce giant simplifies fraud investigations case study cover|

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About DataVisor

DataVisor is the AI-native real-time decisioning engine for fraud and financial crime prevention.
As AI transforms both fraud attacks and fraud defense, DataVisor helps financial institutions, payment providers, and digital businesses detect, investigate, and stop sophisticated and previously unseen threats in milliseconds across billions of transactions. Combining adaptive machine intelligence, consortium intelligence, and emerging agentic AI capabilities, DataVisor enables organizations to modernize fraud operations, improve customer experience, and stay ahead of rapidly evolving financial crime. DataVisor is trusted by leading financial institutions, payment innovators, Fortune 500 enterprises, and digital businesses worldwide.