Retail fraud and policy abuse are rising with the growth of eCommerce and AI adoption. Top retailers like Etsy, Instacart, and Gap are using AI to detect and manage abuse such as coupon exploitation, item-not-received claims, and empty box fraud. AI enables fraud classification, identifies patterns like repeat offenders, and balances risk control with customer experience. Personalization and fraud detection systems work together to reduce false positives while preserving revenue. Key strategies include link analysis, omnichannel data fusion, and predictive modeling to identify abuse without disrupting legitimate customer activity.

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