Queue detection
Identify guest presence and movement through defined queue and service zones.
GuestMetric converts camera-observed movement through the guest journey into operational metrics—helping restaurants and QSRs understand queue behavior, wait time, service timing, checkout performance, and where the experience slows down.
Platform capabilities
GuestMetric is designed to make service performance measurable without forcing managers to manually time every queue, handoff, and checkout interaction.
Identify guest presence and movement through defined queue and service zones.
Measure how long guests wait before service begins and how that changes by time of day.
Break the experience into measurable stages so teams can see where time is actually being spent.
Track checkout timing and identify when transaction flow becomes a recurring bottleneck.
Surface patterns in arrival, waiting, service, and handoff behavior across operating periods.
Compare service performance across locations, dayparts, and operating conditions using consistent metrics.
Architecture
GuestMetric separates camera inputs, event detection, timing logic, and operational reporting so the system can evolve without coupling analytics directly to the user interface.
Operational flow
The value comes from turning ordinary guest movement into useful operating context that managers can act on.
Camera views cover configured guest-service areas.
The system identifies movement through defined zones.
Wait, service, checkout, and journey times are calculated.
Metrics are grouped by location, period, and service stage.
Managers use the signal to target staffing and workflow bottlenecks.
GuestMetric by Tekmaze
Talk with Tekmaze about using camera-powered operational intelligence to understand service performance across your restaurant or QSR locations.
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