AI Visual Check in OpenEye Web Services (OWS) automates visual verification of day-to-day operating conditions across locations, eliminating the need for manual video review or on-site inspections. Users configure checks using simple, natural-language prompts, set a schedule, and let AI video analytics monitor the environment, alerting teams only when conditions fall outside expectations so they can act quickly without constant oversight.  Use cases span a wide range of operational and compliance needs. Teams can monitor shelves for gaps or missing products, detect blocked exits or obstructed walkways, confirm floor mats are in place, and verify other site-specific conditions: receiving timely alerts only when action is needed. Each check is evaluated against user-defined criteria, keeping notifications relevant and reducing unnecessary interruptions.  

Beyond real-time alerting, AI Visual Check builds a historical record of results that teams can use to track trends, spot recurring issues, and make smarter, data-driven decisions across locations, without manual reporting or time-consuming review work.  

By automating routine visual verification, organizations can:

• Automate Visual Verification: Reduce manual walkthroughs by letting OWS analyze images to detect real business and safety issues across locations.

• Proactively Monitor Operations: Stay ahead of issues with alerts when action is needed, helping avoid in-person audits and reactive complaints.

• Improve Your Bottom Line: Protect revenue, improve customer experience, and ensure compliance with a clear return on investment.