SleekView Charts for Five Star Restaurant Reservations
Five Star stores bookings as the rtb-booking post type with party size, time, table, and location in postmeta. SleekView Charts pivots that into configurable dashboards for hosts, owners, and multi-location ops.
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From rtb-booking meta to a service-night dashboard
Five Star Restaurant Reservations stores every booking as the rtb-booking custom post type. Date, time, party size, table assignment, location, and Pro custom fields (allergies, occasion, dietary requirements) live in postmeta on each record, and Ultimate adds deposit data in the same way. The default admin shows a per-day list, useful for confirming today and clumsy for everything else.
SleekView Charts treats rtb-booking as the base of a dataset and pivots the postmeta into proper columns. Number cards count tonight's pending bookings. Donut cards split party size or location share. Bar cards rank table utilisation across a service window. Area cards plot daily covers over the active range, with service-window filters built into the date dimension.
Inline edits from the linked table view route through wp_update_post(), so Five Star's confirmation emails fire and table-availability logic stays consistent. The chart layer adds the dashboard half a busy restaurant runs by, beside the per-day admin Five Star already ships.
Workflow
From rtb-booking to a service-night dashboard
Point at the rtb-booking CPT
rtb-booking as the dataset base. The agent UI walks postmeta for date, time, party, table, location, and any Pro custom fields.
Pivot meta into columns
Pick the four cards
Save service-window dashboards
Sample dashboard
Charts you can build from Five Star Restaurant Reservations data
Pending bookings tonight
Count
Party size mix
Count
group by party
Table utilisation
Count
group by table_id
Daily covers
Sum(party)
group by date
Comparison
Default Five Star reporting vs SleekView Charts
Default Five Star admin
- Five Star's bookings list is per-day with limited reporting
- Party size mix and table utilisation aren't first-class charts
- Service-window views (lunch, dinner, brunch) aren't pinnable as dashboards
- Custom fields from Pro (allergies, occasion) aren't chart dimensions by default
- Multi-location operators run separate reports per branch
SleekView Charts
- Configurable cards over the rtb-booking dataset
- Service-window dashboards (tonight's dinner, weekend brunch)
- Table utilisation and party size mix as first-class charts
- Custom fields from Pro available as chart dimensions
- Multi-location filters cascade across every card on a dashboard
Features
What SleekView Charts gives you for Five Star Restaurant Reservations
Service-night KPIs
Tonight's pending, today's covers, and table-utilisation rank render directly from the booking dataset, sized for the host's pre-service brief.
Pivoted booking meta
Party size, table assignment, allergies, and occasion pivot from postmeta into proper columns so charts can group and filter on them directly.
Service-window dashboards
Tonight's dinner, weekend brunch, and lunch service each get a saved dashboard with the right filters pre-applied for the team that runs each shift.
Audience
Who builds Five Star Restaurant Reservations charts dashboards with SleekView
Hosts and floor managers
Tonight's pending, party-size mix, and table utilisation visible the moment they start the shift. Bulk confirms run from the linked table view.
Multi-location ops
One dashboard per branch and a chain-wide rollup. The location filter cascades across every card on the dashboard.
Owners (Ultimate users)
Deposit held vs captured, weekly cover trend, and no-show patterns on one screen. The Monday-morning review runs from a saved dashboard.
The bigger picture
Why service-night dashboards beat per-day pagination
Restaurants think in services, not single days. Lunch is one operational unit, dinner is another, weekend brunch is a third, and each one has its own rhythm of pending bookings, party-size distribution, and table utilisation. Five Star's per-day admin works for a single-shift venue and feels clumsy when a restaurant runs three services or operates across several locations.
The data is rich enough already: rtb-booking stores everything an operator needs in postmeta, including Pro custom fields and Ultimate deposit data. The missing piece is a configurable chart layer that turns the booking corpus into a service-night dashboard. SleekView Charts adds that layer.
The host runs tonight's dinner from a saved dashboard, the owner reviews weekly covers from another, and the multi-location operator pins one dashboard per branch plus a chain rollup. Same rtb-booking dataset, different filter and chart configuration per role.
Questions
Common questions about SleekView Charts for Five Star Restaurant Reservations
Bookings are the rtb-booking custom post type. Date, time, party size, location, and table assignment live in postmeta on the booking, and Pro and Ultimate add custom fields and deposit data in the same way.
Yes. Custom fields you've configured (allergies, occasion, dietary requirements) appear as dataset columns. Group by occasion to see anniversary-versus-birthday volume, or filter to allergies set to surface tables that need extra service.
 Yes. Location ID sits on each booking, so cards can filter or group by branch. Multi-location operators usually save one per-branch dashboard and one chain-wide rollup.
 Yes. Deposit held, captured, and refunded values live in postmeta with Ultimate. Build cards for deposit-paid share and outstanding deposit balance for finance reconciliation.
 No. The View Bookings page and the check-in flow continue to work for guests and on tablets. SleekView Charts is the back-of-house dashboard surface for staff who need configurable views.
 Yes. Status carries no-show variants where configured. Build a card grouped by status filtered to no-show with date range, then drill into the linked table to identify repeat patterns.
 Cards read live on render. A confirmation made from the SleekView table or the Five Star admin appears in the chart on the next reload.
 No. Aggregations run server-side using the indexes WordPress places on postmeta queries, paginated where appropriate. Even venues with years of booking history render the dashboard quickly.
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