Smiling barista finishing latte art in a clay cup, in a café with mosaic-tile floor and guests chatting by the window.
Restaurants, bars and cafés

Spend your time on your guests, not on the repetitive work.

AI for restaurants and cafés with several branches.

Get in touch Write to us

AI answers guests, sends a morning summary per branch, and keeps stock in order.

Examples

A look at how it works.

Guests ask, book and get answered on WhatsApp.

Illustrative example
Reservations today32+8%
Tables free tonight6
Cancellations2-1
Avg. reply time<2 min

Reservations by day — sample data

Mon: 18Tue: 22Wed: 19Thu: 25Fri: 30Sat: 42Sun: 35MonTueWedThuFriSatSun
Reservations by day — sample data
Mon18
Tue22
Wed19
Thu25
Fri30
Sat42
Sun35

A morning dashboard with the numbers that matter today.

Illustrative example
Today's reservations — sample data
TimeGuestPartyStatus
7:00 PMGuest 14Confirmed
7:15 PMGuest 22Confirmed
8:00 PMGuest 36Pending
9:00 PMGuest 44Confirmed
9:30 PMGuest 53Cancelled

Reservations and status for the night, in one table.

Illustrative example
  1. Ember & Oak Kitchen6:42 pm

    Reservation confirmed

    Guest 1 booked table 7 for four people at 8:00 pm and the system logged it automatically.

  2. Ember & Oak Kitchen7:15 pm

    Low stock alert

    The agent flagged that only two portions of the signature dish remain for tonight's dinner service.

  3. Ember & Oak Kitchen9:30 pm

    New review received

    Guest 2 left a five-star review and the agent drafted a reply for the manager to approve.

Live alerts for bookings, stock and guest feedback

Illustrative example

Table Reservation

Guest name Guest 3
Party size 2 people
Date and time Friday, 7:30 pm
Table preference Table 4, window seat

Booking form the agent fills and confirms instantly

Illustrative example

Weekly service overview — sample data

312Reservations booked
94%Confirmed automatically
4.8Average guest rating

Across the three branches, the AI agent handled most reservation changes without staff involvement.

The signature dish was the top seller of the week, prompting the agent to suggest adjusting prep quantities.

Weekly metrics across branches, all generated automatically

See other industries' examples

Restaurants Fine dining Venues Clinics Cafés & bakeries Quick service Boutique hotels Gyms & studios Salons & barbers Auto shops Hardware stores Pharmacies Schools Accounting & legal Real estate Distributors Minimarkets Veterinary Parking lots Restaurant chains

Also helps with

  1. 01

    Closing the day.

    Branch cash closes compared nightly, so a gap shows up at once.

  2. 02

    The same menu everywhere.

    One menu and one set of hours, kept the same everywhere.

How we work

  1. 01

    Assess

    We watch a normal shift and pick what to build first.

  2. 02

    Build and launch

    We build it on your data and adjust until your team uses it daily.

  3. 03

    Hand over

    Documentation, training and full access — it’s yours to run.

What stays with people

Prices and discounts, refunds, promises to a large group, anything about your staff. The agent prepares; a person decides.

Questions owners ask

Do I have to change my point-of-sale system?

No — we start from the systems you already use and read from them. If one can’t connect, we’ll tell you at the first visit.

Does it work on WhatsApp?

Yes — guests can write to each branch’s WhatsApp, and your summaries and approvals can arrive there too. It also works on the web and inside your own tools.

Who owns what you build?

You do — it’s built on KOA, an open-source platform under an MIT licence. There are no licence fees; your team gets full documentation and access.

How much does it cost?

It depends on what is worth doing first. We agree the price after the first conversation, before any work starts, and there are no licence fees.

Is it only for big chains?

No. It is made for businesses with two, three or a handful of branches, where the owner still checks everything in person and time is short.

Where does my data live?

You choose: with the most capable AI models, or with open models on your own servers. Each branch sees only its own data unless you decide otherwise.

What if the agent gets something wrong?

It is built to say when it does not know and to hand over to a person. Before launch it has to pass checks with real questions from your business, and a person can read every conversation.

Integrations

Integrations for Restaurants

  • StripeIn production
  • SAT/CFDIIn production
  • Google Business ProfileIn production

See all integrations for Restaurants

The agent does the routine part, and a person decides the rest.

Tell us about your branches
If the chat doesn’t answer, email us: hola@koalabs.ai