Riskified's Adaptive Checkout utilizes artificial intelligence to enhance transaction approval processes and minimize fraud risks for online merchants. Traditional fraud prevention methods often rely on rigid yes-or-no decisions, leading to false declines that can frustrate customers and result in significant revenue losses. This new tool, launched after a testing phase with select clients, represents a shift in how transactions are evaluated, enabling a more adaptive and efficient assessment. Companies like TickPick have experienced increased revenue and improved customer satisfaction through this new technology.
Riskified's Adaptive Checkout tool introduces an AI-driven approach to fraud detection and transaction approval, enabling merchants to reduce false declines and improve sales.
Traditionally, fraud prevention relied on rigid yes-or-no decisions that often led to false declines, frustrating customers and costing companies millions annually.
Jeff Otto emphasized the limitations of traditional fraud systems, stating that they can hinder authentic transactions while potentially allowing fraud, thus impacting business significantly.
Adaptive Checkout's real-time analysis represents a shift toward a more flexible system that aims to improve order approvals and maintain customer satisfaction.
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