Link POS exceptions with video to detect theft, reduce shrink, and protect revenue. Powered by i3Ai Smart-ER.
Retailers face growing challenges in preventing employee theft and improving operational efficiency, especially with large-scale POS systems. Traditional exception reporting often lacks intelligence and video context, leaving businesses blind to fraud and unable to act quickly.
i3Ai Smart-ER combines AI-powered POS data analysis with integrated video evidence to deliver actionable insights. By automating exception detection, prioritizing high-risk alerts, and pairing reports with video, Smart-ER empowers loss prevention teams to reduce fraud, optimize operations, and make data-driven decisions across multiple locations.
Data from the POS system is extracted and analyzed using i3’s Ai-powered algorithms to identify potential exceptions.
The process begins with i3’s risk matrix, which weights and structures exception data to ensure that the most critical exceptions are flagged for review.
Smart-ER automatically pairs each exception report with corresponding video footage, allowing AP teams to review incidents with greater accuracy and efficiency.
Exception reports are generated daily and stored in the cloud, providing a centralized platform for reviewing store performance and investigating incidents.
Identify suspicious voids, cancellations, and unauthorized discounts at checkout, reducing employee theft by 75% with video-verified evidence.
Detect fraud by flagging exceptions like “customer-not-present” during till operations, tracking employee performance, and ensuring transaction legitimacy.
Monitor high-risk checkout areas and catch sweethearting, scanning fraud, and unauthorized discounts at self-checkout stations.
Track exception trends across all locations, identifying underperforming sites, recurring fraud patterns, and training opportunities.
i3Ai Smart-ER uses advanced algorithms trained on millions of transactions to identify genuine anomalies while filtering out benign exceptions. The customizable risk matrix adapts to your specific business rules, achieving over 90% accuracy in surfacing legitimate theft incidents while dramatically reducing false positives.
Yes. Smart-ER integrates seamlessly with major POS systems to extract and analyze transaction data. The system also connects with existing surveillance infrastructure to automatically pair exceptions with corresponding video footage for streamlined investigations.
The risk matrix weighs exceptions based on factors like transaction amount, frequency, employee history, time of day, and transaction type. You can use predefined filters or create custom risk profiles that match your specific loss prevention priorities, ensuring your team reviews only the most critical incidents.
Smart-ER identifies a wide range of employee theft including unauthorized voids and cancellations, excessive discounts, transaction manipulation, refund fraud, sweethearting, “customer-not-present” till operations, and scanning fraud. The system learns patterns unique to your business over time.
Absolutely. Built on enterprise-grade cloud infrastructure, i3Ai Smart-ER scales from single stores to multi-national operations with hundreds of locations. Centralized reporting provides visibility across all sites while maintaining location-specific risk parameters and performance tracking.
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