The article discusses card declines as a significant issue driven by data management problems. Traditional payment systems rely on strict, outdated rules that often mistakenly block legitimate transactions. In contrast, Artificial Intelligence (AI) introduces a new paradigm, offering adaptive, context-aware fraud detection that differentiates between genuine fraud and false positives. This shift enhances the payment approval process, ultimately improving customer experience and reducing unnecessary declines. The implementation of AI solutions can significantly transform current fraud detection practices, promoting better user engagement and retention.
Card declines, often seen as a simple risk issue, are deeply linked to data mismanagement and can lead to a significant loss of good transactions.
AI transforms the approval landscape by introducing adaptive, context-aware fraud detection that distinguishes between genuine fraud and false positives, ultimately improving customer experience.
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