Understand your guests better, optimize your occupancy, and make data-driven decisions for more profit.
234
Reservations
89%
Avg. Occupancy
3.2
Avg. Guests/Table
Optimal occupancy means more guests and more income.
Automatic reminders reduce no-shows by up to 40%.
Data-driven decisions for staff and purchasing.
Our software intelligently distributes reservations throughout the day to achieve maximum occupancy – without stress for your team.
12:00
13:00
14:00
18:00
19:00
20:00
21:00
22:00
All key metrics at a glance – clearly presented
Seat utilization for the last 30 days, live room occupancy, and shift KPIs on the floor plan.
See where guests come from, who your regulars are, and how far ahead they book.
Track no-show and cancellation rates — including how weather changes them.
Compare cancellations and no-shows on dry versus rainy days.
See how guests and reservations moved in the last 24 hours and 7 days.
Export the evening list as CSV, HTML, or print — and get a morning email for the next 7 days.
Average Improvements After 3 Months
+30%
More Reservations
~8h
Time Saved per Week
€500+
Savings per Year
View Price Comparison →
Open the dashboard and see whether the week is up or down — before you open a spreadsheet.
4.8%
No-show rate
Last 30 days, with count and percentage
38%
Repeat guests
Share of bookings from returning guests
72%
Seat utilization
Average daily covers versus seat capacity
19:00
Peak hour
When most reservations actually land
12%
Walk-in share
How much of the book is still chance
46h
Booking lead time
Hours between booking and visit
+18
Guests, last 7 days
Up or down versus the week before
8.1%
Cancellation rate
Spot unstable demand early
Turn the guestbook into a picture of your audience: origin, regulars, booking habits, and who is worth a better table.
Guest origin map
A map and ranked table of countries — tourism versus local, in one view.
Top guests
Your most frequent guests in any date range, with party sizes, linked to their guestbook profile.
Audience mix
Estimated gender split from first names, clearly labeled as an estimate.
How far ahead they book
Average lead time so you staff and market to the real planning window.
Where guests come from
38%
Repeat guests
46h
Average lead time
Dry evenings
4.1%
No-show rate
7.8%
Cancellation rate
Rainy evenings
9.4%
No-show rate
13.2%
Cancellation rate
Illustrative example. Your own rates appear once weather is matched to reservations.
Match reservations to hourly weather at your address. Compare no-shows and cancellations on dry versus rainy days.
Use it to decide when reminders, last-minute offers, or a smaller floor make more sense than guessing.
Not only month-end reports. See remaining covers, room occupancy, and party mix while guests are still arriving.
Covers, guests, seated tables, and still-unassigned reservations for the current shift.
Tables occupied versus total, guest count, and upcoming parties — per room.
Reservations and guests remaining in the service day, on the timeline.
Average and median party size, plus a breakdown by labels on the reservation list.
See the score, the trend, and whether your review-request emails actually get clicked.
Review scoreboard
Average rating, total reviews, this week, and items that need attention.
Rating over time
Daily average line and weekly bars — did last month’s changes move the score?
Review-request funnel
Mails sent versus review button clicked. Prove the emails work.
Review requests this month
See drop-off at a glance, then write a better follow-up.
Anna Berger
Regular · last visit 12 days ago
14
Visits
41
Guests
0%
No-show rate
2
Upcoming
Before they sit down: visits, covers, last visit, upcoming bookings, and their personal no-show rate.
A morning email at 06:00 local time, plus exports for the pass, the office, and accounting.
Daily reservation summary
Today plus the next 7 days, delivered by email with a CSV attached.
Evening list, your way
CSV, HTML, or print, with a column picker and optional group-by-table.
Audience and door lists
Export mailing-list subscribers — including delivery problems — and event guestlists.
Inbox · 06:00
Your reservations for today and the week
Sent at 06:00 in your restaurant’s timezone
Today: 42 reservations · 128 guests
Next 7 days attached as CSV
Events, outreach, and gift cards share the same reporting habit: counts you can act on.
Did the night convert — signups versus who actually showed.
See the market on a map, then pick who to contact.
Gift-card liability you can see, not a drawer of paper.
Analyze booking patterns by time of day, day of the week, and season. Optimize staff and purchasing based on real data.
Start now and see in real-time how your occupancy increases.
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