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Queue analytics and busy times

Analytics shows the branch’s queue in tabs, and every figure is set against last week. Owners and managers can open it. A day’s figures are added once the day is over.

Tab What it shows
Today Waiting now, tickets, served, average wait, and walked away / skipped, against the same day last week
Busy times Tickets per day on average by weekday and hour over 4 weeks, the busiest times with a hint to plan an extra person at the desk, and party sizes
Flow The last 7 days: took a number, served, left, booked a time instead, skipped, no-show, the promised vs real wait, booked customers, remote joining, and where tickets came from (door QR, added by staff, from afar, booking)
Customers Tickets of known customers, walk-ins who became customers, returning customers and booked customers
Money Revenue served from the queue, revenue lost to walk-aways (estimate), guests served, and booked vs walk-in

Money comes from the services’ prices. Where a ticket has no service price, a restaurant for example, enter the Average spend per guest (baht) in Queue settings. The Money tab then estimates from it and says it is an estimate.

Tickets are deleted 7 days after they end, but the hourly figures are kept for good, so last week’s comparison and the busy times stay complete. A known customer served from the queue also counts as a visit in the customer’s history.