Transform computer vision from passive detection into active prevention. The Real Time Insights Agent identifies anomalies and immediately takes corrective actions that protect revenue and reduce losses.
Retailers and logistics companies lose billions annually to theft, mishandling, and damaged goods.
Self-checkout systems and manual inspections are error-prone, leading to shrinkage and customer dissatisfaction.
Traditional monitoring requires large human oversight teams with high operational costs.
Reduce shrinkage, fraud, and damaged goods write-offs.
Minimize reliance on large human oversight teams.
Ensure the quality of received and shipped products.
Automate anomaly management and escalation.
Anomaly Detection with Action
Goes beyond detection to automatically trigger responses (alerts, process changes, workflow automation).
Plug-and-Play Use Cases
Integration Ready
Works with existing cameras, sensors, and enterprise systems.
Scalable & Adaptable
Trainable for industry-specific scenarios.
(vs. Current Computer Vision or Manual Oversight)
Anti-Theft Prevention: Reduce shrinkage losses by 20–40%, representing millions annually for large retailers.
Mishandling Detection: Cut merchandise damage-related write-offs by 30–50%.
Self-Checkout Validation: Lower fraud and error rates by 25–45%, improving checkout ROI.
Damaged Product Receipt: Save 15–25% of inbound product costs by rejecting damaged goods early.
Outgoing Product Verification: Reduce customer returns and claims by 20–30%, improving margins.
Overall ROI: 3–7x within 12 months, combining loss prevention, reduced labor costs, and higher customer satisfaction.
A retail chain reduced shrinkage by 35% and saved $12M annually by deploying real-time anti-theft prevention.
Benchmark: Global retail shrinkage is estimated at $100B+ annually, with most solutions only identifying issues, not acting on them.