Caitlin Hodges, Risk Manager at Amazon, discusses reducing policy fraud in eCommerce. She shares insights on tools to fight competitor fraud, detecting AI-manufactured negative reviews, and the impact of abusive behaviors on sellers and platforms. The podcast also covers fraud during peak shopping events and the use of AI in addressing fraudulent behavior in online marketplaces.
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Quick takeaways
Detecting AI-manufactured negative reviews for competing products is crucial in fighting policy fraud in e-commerce.
E-commerce platforms like Amazon need to adopt a proactive approach using AI to detect and prevent fraud before it occurs.
Deep dives
Competitor abuse in the e-commerce space
In this podcast episode, Caitlin Hodges, Risk Manager at Amazon, discusses the challenge of competitor abuse in the retail space, specifically in relation to vying for the top spot or 'buy box' on Amazon. She highlights the various forms of abuse, such as negative review abuse and inventory hold abuse, where competitors engage in tactics to undermine each other's sales. Caitlin emphasizes the importance of detecting and preventing these abusive behaviors to protect sellers and save costs for Amazon.
Evolving tactics in fraud and abuse
Caitlin delves into the evolving tactics of fraudsters in the e-commerce space. She mentions how fraudsters are increasingly using sophisticated methods, such as leveraging legitimate email addresses and account takeovers, to appear more authentic and avoid detection. She discusses the challenges faced in accurately identifying fraudulent accounts and the need for AI and machine learning models to continuously improve and adapt to these trends.
The role of AI in fraud prevention
Caitlin emphasizes the goal of leveraging AI to level up fraud prevention efforts. She highlights the importance of achieving greater accuracy in identifying fraudulent sellers and buyers, while avoiding false positives. She references the need to move from a reactive approach to a more proactive one, where AI systems can detect patterns and trends to flag potential fraudsters before they cause harm. Overall, the podcast highlights the ongoing battle between fraudsters and e-commerce platforms like Amazon, driving the need for continuous advancements in AI to stay ahead.
Today’s guest is Caitlin Hodges, Risk Manager at Amazon. Caitlin joins us on today’s program to talk about the biggest challenges for eCommerce leaders when it comes to reducing policy fraud, and the unique forms their solutions can take from a data perspective. Throughout the episode, Caitlin pulls from her experience from the frontlines of developing new tools to fight competitor fraud, such as detecting AI-manufactured negative reviews for competing products. This episode is sponsored by Riskified. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.
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