How Wish Conquered the World’s Markets While Navigating Cross-Border Fraud and Risk
Business leaders at global marketplace Wish knew the secret to the enterprise's continued growth was increased international expansion.
As one of the world’s largest e-commerce marketplaces, Wish now operates in more than 60 countries, processing approximately 900,000 transactions a day, across about 250,000 merchants, and has more than 20 million monthly active users. While that scale provides a wealth of transaction intelligence, Wish also needed to put a very local lens on the data it was processing.
Wish found its answer in machine learning — in particular a machine learning fraud protection model that scales rapidly while leveraging the fraud and risk expertise of the internal team at Wish. Smart machines surfaced the localized data the Wish team needed to react to the diversity of geo-specific fraud attacks and abuse schemes.
In this session, Signifyd senior vice president of operations and corporate development J. Bennett and Wish Director of Risk Operations Tara Mitchell dive into the considerations around deploying a machine learning solution and explore the steps Wish took to marry the strengths of humans and machines to reduce their exposure to fraud and increase order approval and conversion rates.
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