Queue Analytics
Reduce wait times and improve service flow. Measure queue duration, service timing, and abandonment across every counter.
What you can measure
Measure how long customers wait in line and how wait time changes by hour, day, and service point.
Track average service time per staff member and service counter to identify bottlenecks.
Get real-time alerts when queues exceed target wait times or customers leave before being served.
See exactly when and where you need more staff to keep service levels consistent.
Compare queue performance across counters, branches, and time periods to find best practices.
Frequently asked questions
Queue Analytics measures queue duration, service time, wait thresholds, and abandonment rates. It helps you understand how quickly customers are served and where service bottlenecks occur.
AI vision models analyze camera feeds at checkout or service counters to detect when a customer enters a queue, reaches the counter, and leaves. This produces accurate wait and service times.
Yes. Most existing checkout and service-point cameras can be used. Overhead or angled views with clear sightlines of the queue area deliver the best results.
Real-time alerts notify staff and managers when queues exceed configured thresholds. Historical reports show peak hours and service patterns so you can schedule staff more effectively.
Faster queues, happier customers
See how Queue Analytics works with your existing checkout and service cameras.