_____________________________________________________________________________________________________ Retail Fraud
The network effect and identity intelligence
A growing share of refund abuse is driven by small networks of repeat offenders operating across multiple merchants. Riskified’ s network data shows that just 13 percent of identities with claims operate across multiple retailers, yet these identities are linked to seven times more accounts on average, driving disproportionate losses. A network view of identity is critical for detecting repeat and coordinated abuse.
The future of retail hinges on delivering fast and exceptional experiences to loyal customers while protecting against increasingly sophisticated abuse patterns. Knowing who you are dealing with in real time, referred to as‘ identity intelligence’, is becoming essential to delivering fast, AI-powered customer experiences. By integrating real-time identity risk scores directly into customer service workflows, retailers can give agents- increasingly, AI agents- immediate visibility into who they’ re dealing with. For example, when a customer submits a refund claim or requests a package reroute, identity intelligence can provide immediate visibility into risk signals, helping service teams make faster and more accurate decisions. This allows your teams to fast-track trusted customers for instant resolution, improving retention and repeat purchase behavior, while serial abusers are stopped more effectively.
The trade-off between speed, trust, and security
Retailers have long faced a difficult compromise: offer instant claims resolution to drive loyalty, or implement rigid rules to block the rising tide of fraudulent
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