The phone always rings during service.
Restaurants, trattorias, bars. People call to book at exactly the moment nobody on the floor can answer; booked tables fall through without warning; reviews go unanswered because by midnight nobody has the energy left to write a reply.
A restaurant's margin is decided outside the kitchen.
The food is already sorted: it's the reason the place is still open. What's still unsolved is everything around the service.
The phone, at the busiest moment
It rings three times during service. Once someone answers in a rush, twice nobody does. The people who got no answer have already called the next restaurant.
Missed calls and messages are gathered up and get a first reply with availability and confirmation. Inbox AITonight's tables
Nobody has confirmed tonight's bookings. Confirming them by hand means twelve phone calls in the hour you needed to get ready for service.
The reminder goes out on its own, and anyone who doesn't confirm is contacted again before the table ends up empty. Booking recoveryThe table for four that never turns up
Booked, never cancelled, never showed. There are people waiting at the door, but the table was held for forty minutes for a booking that no longer existed.
The freed-up table is spotted in time and can be given to someone else instead of sitting empty. Booking recoveryThe review that just came in
Three stars, with a comment about the wait. It deserves a calm reply, and at this hour nobody has a calm reply left to give.
The draft reply is ready the next morning, to approve or edit before it's published. Review follow-upThe supplier's invoice, and yours
The supplier has already sent two reminders. Nobody has chased the invoice the restaurant is owed for a catering job three weeks ago.
A graduated sequence of reminders follows up overdue invoices, without depending on anyone's mood that morning. RemindersA lost cover doesn't come back the next day: it's margin that's simply gone. The difference between a full evening and a half-empty one rarely comes down to the menu.
Not our opinion. Published research, with the source alongside.
is the average no-show rate, measured across more than 212,000 bookings in 300 Italian restaurants. With a deposit or card pre-authorisation it falls to 5.4%.
Osservatorio Incrementoo · Ristorazione 2025fewer no-shows with automatic reminders by text, WhatsApp or email, measured on the same sample. It's a reduction on top of what a deposit already achieves.
Osservatorio Incrementoo · Ristorazione 2025of consumers read reviews of local businesses before choosing, and 80% prefer businesses that reply to all of them. BrightLocal 2026 survey of 1,002 US consumers.
BrightLocalmore likely to reach the customer if you reply within five minutes rather than thirty: the window in which a booking is still yours is very short.
InsideSales.com/MIT study · Lead Response Management Study, 2007The pieces that pay for themselves first in this sector.
They're not all built at once. You start with one, the one costing you most today, and only add the next if the first has paid off.
Reminders and tables rebooked
A reminder goes out before the booking time, and anyone who doesn't confirm is contacted again. A table that would otherwise sit empty can be rebooked in time.
The calls and messages missed during service
Enquiries from the phone, WhatsApp, email and the website gathered in one place and sorted straight away. Recurring questions, such as opening hours, availability, allergens and parking, get an answer the restaurant has approved.
Replies ready the next morning
The system gathers reviews and drafts a reply, ready for the owner to approve before it's published.
The money nobody chases
A three-stage sequence of reminders follows up overdue invoices for catering, events and supplies, instead of relying on someone remembering to do it.
Not a concept: a prototype already built and stress-tested.
Built around a cash problem, not a courtesy problem: the table that frees up too late to be rebooked. Anonymised, exactly as it is, with synthetic data, and stress-tested before the first conversation had even taken place.
A booked table that falls through isn't a question of manners: it's takings that quietly disappear.
It doesn't matter whether the customer apologises. What matters is the seat left empty for an hour while people were waiting at the door. The system doesn't chase courtesy: it spots who is likely not to turn up, sends a message in time for them to reply, and if the table frees up anyway, puts it back on offer before it's too late.
| One evening's bookings (real test) | Today, by hand | With the system |
|---|---|---|
| Bookings scored for risk | by gut feeling, if anyone notices | 24 out of 24, automatically |
| Reminders to at-risk bookings | rarely, depends on who's on the floor | 16 out of 24 sent |
| Tables freed in time and rebooked | almost never: the table stays held until the booking time | 8 of 12 no-shows rebooked |
| Euros tracked per evening | nobody adds them up | recovered vs lost, per booking |
The Risk Score
Every booking gets a score as soon as it comes in: first visit, no confirmation, large group, peak time.
The Reminder
Goes out only where it's needed, in time for a reply: not to everyone, not at random.
The Waiting List
A table freed up in time is offered again straight away, instead of sitting empty for the rest of the evening.
What the test shows, and what it doesn't
The bookings were generated for the test, not taken from your customers: the test shows the mechanism works, not what it's worth to you. You know what a table is worth, and we'll work out the numbers together.
The first step here
The covers lost to a missing confirmation. Thirty days to count them properly.
In restaurants, the piece that pays for itself first is almost always booking recovery: it's the quickest to get running, and the only one whose effect shows up in the till within the month, not after a quarter.
We choose the metric for this sector together before we start: no-shows prevented in the month, or average time to first reply to a booking enquiry. It's the yardstick you'll judge us by.
If the piece has earned back more than it cost, we look at the next one. If it hasn't, we stop there: no automatic renewal, no penalty, and the system stays yours.
The objections we hear every single time.
Automated messages to customers feel cold. That's not us.
A badly written reminder is worse than no reminder, which is why you write the messages, or we write them together in your words, and you approve them before they go out. There are no anonymous system messages.
The experience across the sector is that a well-written reminder comes across as care, not automation: it's the same reason your dentist sends you one.
We're a small place. This is for chains.
It's the other way round: a chain has an office to handle this, a family-run restaurant doesn't. The value of the system grows with how much you're missing a dedicated person, not with the size of your turnover.
That said, there is a case where we'd tell you not to bother: if you take ten bookings a week and handle them all without breaking a sweat, it isn't worth the money, and we'll tell you so before sending a quote.
We don't have time to learn another program.
There isn't one to learn. The design rule is that things arrive where the restaurant already looks: a message, the email inbox, the spreadsheet you use. If a piece means someone has to learn a new tool to keep service running, that piece has been badly designed.
The real effort is in the analysis phase at the start, and it comes to a few hours in total: we need to see how you really work, not a questionnaire filled in in a rush.
Other questions, such as cost, data and the time involved, are answered on the Method page.
How many covers fell through last month without anyone writing it down?
Itria builds custom digital systems for businesses that run a live service, starting from the outside in. For you, that means more bookings captured, fewer tables lost and less work after closing. Drop us a line about what's slowing you down. We'll make the first move: we'll look at what a customer sees when they search for you, and tell you what we found. Even if we never end up working together.
Drop us a line