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AI-powered detection
Use statistical and machine-learning models to identify suspicious POS transactions and behavior.
Retina POS AI Fraud Detection
Surface suspicious POS transactions and behavior with statistical and machine-learning models. Give your team the context and case tools to investigate, follow through, and strengthen controls.
For loss-prevention, audit, and retail operations teams
Investigate suspicious activity
Statistical and machine-learning models surface unusual transactions and behavior for your team to assess.
View transactions, users, and stores together, and compare stores and cashiers against peers.
Assign, track, and manage investigations from detection to resolution with controlled access and audit trails.
What your team can do
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Use statistical and machine-learning models to identify suspicious POS transactions and behavior.
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Bring transactions, users, and store information into one view for a more informed review.
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Use dashboards and reports to see trends, patterns, and risk hotspots.
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Benchmark stores and cashiers against peers to help identify outliers.
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Track, assign, and manage investigations through to resolution.
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Work from clean, integrated POS data with audit trails and role-based access so the right people see the right information.
Bring detection, context, and case management together so loss-prevention teams can review activity and act with confidence.
Part of the Retina Platform
Build on integrated POS data, use BI for broader business visibility, and support analysis with a consistent data foundation.
Start a conversation
Walk us through the decisions your teams need to make. We’ll discuss your requirements, data sources, and an implementation plan.