AI agent solutions/Restaurant agent01Menu answers02Allergen handling03ReservationsRequest a quote
Proposed workflow

AI Restaurant Orders and Reservations Agent Development

Orders prepared, tables requested

An agent for a restaurant's messages and calls.

Area of workProperty, healthcare, hospitality and industrial
Status todayA proposed workflow that we build to order. Nothing is running yet.
How it is builtCustom development around your own systems, with a named person behind every decision the agent does not take.

An agent for a restaurant's messages and calls. It answers questions about the menu from your own menu data, takes a reservation against real table availability, prepares an order for the guest to confirm, and passes allergy questions to your staff.

During service nobody can answer the phone. A guest wants a table for six on Friday, another asks whether a dish contains nuts, a third wants to order for collection. The calls go unanswered, the messages are read after closing, and the booking goes to the restaurant that picked up. Delivery platforms solve the ordering and take a large share of every sale.

This page describes a workflow we propose to build as a custom project. It does not exist as software yet. It would reuse the order draft and the catalogue lookup that run in our WhatsApp demonstration on test data, where an order is prepared and held for confirmation, and the booking logic from our appointment booking demonstration. Menu data, table availability and connection to a point-of-sale system are not built.

02Step by step

From the First Signal to the Record

An example of one case, in 6 steps. The same steps play in the picture at the top of this page.

STEP 01

Guest writes

A guest messages asking for a table for four on Saturday at eight.

STEP 02

Availability checked

Eight is full. Seven thirty and nine are offered from your reservation system.

STEP 03

Booked

The guest takes seven thirty. The booking is confirmed with the address.

STEP 04

Question asked

They ask whether the lamb dish contains nuts. The published allergen sheet is shown, and the question is passed to staff.

STEP 05

Order prepared

Another guest orders for collection. The items are read back and confirmed.

STEP 06

Reminder sent

On Saturday afternoon the party of four is reminded and confirms.

03Restaurant agent

Six jobs it carries through

Menu answers

Answers from your menu data.

  • Dishes, prices and descriptions
  • Opening hours and location
  • Today's availability, where you update it
  • Says when it does not know
Works inMenu data
Where it stopsIt answers only from your current menu.
→Request a quote

What We Need to Scope This

  1. The process as it runs today, in a few lines.
  2. The systems it touches, for example reservations, point of sale, menu, guest channels.
  3. Rough monthly volume, and who approves what.
Request a quoteBook a 30-minute callA quote starts from a written scope, so that the figure means something.
04The gap

Six Things That Slow This Down

Calls during service

The phone rings while every hand is busy.

Tables booked on paper

Two parties are given the same table.

Allergy questions answered from memory

A guess about ingredients by whoever picks up.

Orders taken wrong

A modification is misheard over a noisy line.

Sold-out dishes

The order is accepted and the kitchen has none left.

No-shows

A table for eight is held and nobody arrives.

05Scope

The Systems Around It

The systems named here are the kind this agent works with. Which ones it connects to in your case is settled in the scope.

01

Reservations

  • OpenTable
  • SevenRooms
  • ResDiary
  • or your booking system
02

Point of sale

  • Your till and kitchen order system
03

Menu

  • Dishes, prices, availability and published allergens
04

Guest channels

  • WhatsApp
  • Instagram
  • phone
  • your website
05

Payments

  • Your own payment provider, for deposits or orders
06

Staff

  • The manager on duty
06Operating boundaries

It Answers From the Menu and Leaves Allergies to Your Staff

Food allergy is a safety matter. The agent shows the allergen information you publish and passes any specific question to a member of staff. It does not reason about ingredients, substitutions or cross-contamination.

A reservation or an order is confirmed only when your own system accepts it, and the guest confirms an order before it reaches the kitchen.

  • Answers only from your current menu
  • Published allergen information only
  • Allergy questions passed to staff
  • Bookings confirmed by your system
  • Orders confirmed by the guest
  • Your cancellation policy as written
07Questions

Straight Answers

It shows the allergen information your restaurant publishes and records the allergy on the booking or order. Specific questions go to your staff, and the guest is told that. It never says a dish is safe.

A restaurant's work is tables and food orders, with allergens as the main risk. A hotel's is rooms, stays and requests during the stay. A hotel restaurant can use this agent inside the other.

It can take orders through your own channels, such as WhatsApp or your website, for collection or your own delivery. Whether that suits you is a commercial decision. It does not connect to a delivery marketplace unless you ask for that.

Not as software yet. This page describes a proposed workflow. It would reuse the order draft and the catalogue lookup that run in our WhatsApp demonstration on test data, where an order is prepared and held for confirmation, and the booking logic from our appointment booking demonstration. Menu data, table availability and connection to a point-of-sale system are not built. A project starts by mapping your process, then proving the first steps on test data before anything touches a live system.

Start a project

Count Friday Night's Missed Calls

And what they wanted. Most restaurants find that reservations and opening-hours questions make up nearly all of them.

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