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Lesson 3 / 41

Opening hours, service days & overnight visits

Distinguish displayed hours, Analytics schedules and reservation checks.

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Before you begin

Know the store timezone, actual branch hours and policy effective dates.

Where to go

Settings → Store profile / Board-game tables → Settings and Analytics

Visible menus may vary with language, permissions, app version and shop configuration.

Follow these steps

  1. Set the store timezone, for example Asia/Bangkok, in Store profile. Booking/report times use store configuration; the board-game branch profile has no separate timezone field.
  2. In Board-game settings select the branch and enter customer-facing hours, for example 16:00–02:00, matching actual operations.
  3. In Analytics select one branch, expand Opening hours, choose an effective date and configure all seven days as closed or with opening/closing times. Save with report and floor-management access.
  4. 16:00–02:00 closes the next day. Effective dates preserve schedule history. For temporary changes plan a later schedule restoring normal hours; this is not an automatic holiday calendar.
  5. Queue service days roll at 04:00: a booking on the 28th at 01:00 belongs to service day 27. Test cross-day lookup and hand over the existing session; do not reopen it to change its date.
  6. Manually review bookings outside business hours or on holidays. Analytics hours provide utilization denominators and displayed hours inform guests; neither automatically restricts booking windows. Account for this before enabling chat auto-confirmation.

How to verify success

Configured report dates have no missing-hours warning, queue dates cross 04:00 correctly and holiday bookings have an assigned reviewer.

Limits & things to check

Shift close, service-day rollover and session close are separate. Do not change the timezone to fix a bill date without reviewing the store-wide impact.

Ready to try it in your shop

Lessons are free to read. Actual operations require sign-in and the appropriate permission. Use test data for training.

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