Using AI to Prevent Chargebacks
Blog post from Basis Theory
AI chatbots and agentic payment systems are reshaping e-commerce by enabling consumers to receive rapid product recommendations and allowing AI agents to shop and pay independently under user-defined rules, but these conveniences may increase chargebacks when purchases are unwanted, misunderstood, or disappointing. Chargebacks already affect roughly 0.6% to 1% of card-not-present transactions, imposing lost revenue, merchandise costs, and bank fees on merchants, and autonomous purchasing could make disputing a charge the fastest way for consumers to reverse an unfamiliar transaction. Merchants can use AI-based fraud prevention tools to counter these risks through real-time risk scoring, behavioral biometrics, device fingerprinting, and synthetic-identity detection, while AI customer support, dissatisfaction prediction, smart payment retries, and clearer billing data can help prevent service-related disputes. Responsible deployment requires merchants to address algorithmic bias, safeguard privacy through consent and data-minimization practices, and comply with standards and laws including PCI-DSS, GDPR, and the CCPA.
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