The Fight Against Retail Fraud and Policy Abuse
Lessons in AI from Etsy, Instacart, and Gap
In the initial wave of the COVID-19 pandemic, online retail sales grew dramatically. The United Nations Conference on Trade and Development reported in May 2021 that global eCommerce saw a “dramatic” increase — from 16 to 19% — in the previous year.
Post-pandemic, eCommerce and retail stand at the forefront of artificial intelligence (AI) adoption, opening up new ways for consumers to interact with brands. Not surprisingly, you also find that fraudsters, in turn, discovered just as many new ways to commit fraud and policy abuse against retailers – both online and in-store.
In this whitepaper, you’ll gain insight on:
- Locating fraud
- Mitigation that doesn’t hurt the business
- Critical policy abuse trends in retail
- Two anti-fraud AI use cases
Where and how fraud is happening across the enterprise.
How to minimize the impact of fraud with the least friction in the customer journey possible.
Addressing the three kinds of policy abuse and finding patterns in their relationship to customer experiences.
In personalizing optimal customer experiences and classifying different kinds of customer abuse to find worst-case scenarios.
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