Core Definition
Queue analysis measures how queue size, wait time, and crowding change at places where people wait their turn, such as checkout, ordering counters, or entry areas. It compares time, zone, and operating conditions to identify when staffing or guidance may need review.
Crowding and queues are not the same
Crowd density shows how concentrated people are in a given space. Queue analysis focuses more specifically on whether those people are waiting for service and how long the flow continues.
The same headcount can therefore mean different things. A short dwell at an event entrance may be natural flow, while growing wait time at checkout is a signal to review both customer experience and operational load.
What to consider when setting a response threshold
Rather than applying one fixed threshold to queue size or time, first compare the usual range by day, time, and event context. The same number can have a different operational meaning at a lunch peak and on a weekday afternoon.
Check why the signal grew as well. Separating possible causes such as payment handling, staffing gaps, corridor bottlenecks, or promotions helps operators decide what to inspect first after an alert.
How SAAI Uses It
SAAI reads people and dwell signals in waiting areas over time to make crowding patterns visible. saai care can notify operators when a signal meets the conditions they set, while the operator decides on staffing or customer guidance.
See it in action