AI-generated concept of a charcoal QR card holder and orange call button clamped to a restaurant table edge.
AI-generated table unit concept · final design to be tested

More time with guests. Less time taking orders.

Let guests order when they are ready and call for help with one press. Give your team more room to look after the people at the table.

A calmer service, from table to kitchen.

Designed to support your team. These are benefits to measure in a pilot, rather than promised results.

Three service moments: a guest prepares a digital request, a waiter gives personal help, and staff review an orderly request.
AI-generated benefits concept · intended outcomes to test.
01

Less routine back-and-forth

Guests who choose digital ordering could spend less time waiting to place an order. Your team could spend less time recording routine requests and more time being present where it matters.

02

Help when it is needed

A clearly labelled button lets guests ask for personal help. Staff can see which table is waiting, acknowledge the request and respond with a clear sense of priority.

03

Clearer orders, fewer handoffs

Consistent order details and visible acceptance could reduce uncertainty during busy service. The benefit depends on the route into your restaurant system and how much manual entry remains.

One table. Two simple ways to get service.

Guests can order from their phone or press a physical button for personal assistance. Ordinary waiter service stays available.

Two service paths: a phone menu request reaches staff for acceptance, while a physical call button alerts a receiver and a waiter responds.
AI-generated workflow concept · review and responsibilities need agreement.

Order from the table

  1. Scan the QR

    The menu opens in the phone browser. Guests confirm the displayed table number, without installing an app or creating an account for basic ordering.

  2. Choose and send

    Guests browse the menu, choose items and options, then review the order before sending it. Menu availability needs to be maintained by the restaurant.

  3. Staff accept the order

    The team receives the request through the chosen order route. Guests see its actual status; submitting an order is separate from the restaurant accepting it.

Ask for a person

  1. Press the button

    One clearly labelled physical button requests help from the table. Guests can ask a waiter to take an order, explain the menu or help with anything else.

  2. The team is alerted

    The button sends its identity to a restaurant receiver. The staff screen identifies the assigned table; the device should show whether the request was delivered.

  3. A member of staff responds

    A waiter acknowledges the call and goes to the table. Repeated presses should keep one clear outstanding request, rather than flood the team with duplicate alerts.

A small device, with the details thought through.

A replaceable QR card and one clear call button, designed around daily restaurant use.

AI-generated studio concept showing the removable QR card, call button and clamp of the proposed table unit.
AI-generated device concept · mounting, cleaning and range require venue testing.
Replaceable QR card
A protected slot lets staff slide a printed card out when it is worn or needs replacing. A stable menu link means ordinary menu changes happen online, without printing a new code.
One clear call button
A large tactile button labelled Call staff, with delivery feedback that distinguishes a received request from a failed attempt. Battery life and usability would be checked in the pilot.
Secure table attachment
A clamp, adhesive base or bracket would be chosen to fit the furniture. Spill resistance, cleaning access, accessible placement and secure battery access need testing.
One table assignment
The QR card and physical button must point to the same table. Staff assign and verify them together whenever a unit or card moves. The system should flag missing connections and low batteries.

Fits the way your restaurant works.

Choose a practical route for accepted orders. A clear handoff helps prevent the same order reaching the kitchen twice.

An accepted request can follow one chosen route: supported system connection, staff-screen entry, or compatible kitchen-ticket printing.
AI-generated routing concept · operating scope and compatibility remain to be agreed.
01

Connect your existing system

Where a supported connection exists, send orders into the restaurant system. Item identifiers, options, prices, availability and acceptance behaviour need checking. An API or webhook is useful only when the receiving system supports the required workflow.

02

Use a staff screen

Receive orders on a tablet or small monitor, accept them, then enter them into your existing system and mark them as entered. This supports systems without a suitable integration; the re-entry time must be counted when measuring the benefit.

03

Print kitchen tickets

Send accepted orders to a compatible kitchen printer. Sending separate tickets to a kitchen and bar can be scoped if needed. A printed ticket does not confirm preparation: accepted, preparing or ready updates need a staff action on a screen or another supported input.

What could your team get back?

Use your own service numbers to estimate time released from routine order taking. Include the work that still needs a person.

A neutral balance compares routine ordering work with digital handling, human review and upkeep; five input spaces remain empty.
AI-generated estimate concept · no saving is assumed or measured.

Enter your own numbers. Nothing you enter here is saved.

Digital handling includes staff review, any manual re-entry and corrections. Include device checks and routine maintenance in upkeep.

Potential staff time released—

Complete all five fields with valid numbers to see an estimate. Enter 0 where no extra handling or upkeep is needed.

Planning estimate, not a measured saving. Include review, manual re-entry, corrections and upkeep. Time released is an opportunity to improve service; it does not automatically reduce paid staff hours.

How this estimate is calculated

Orders × digital share × (current handling time − digital handling time) − extra upkeep. Compare the same work in both flows, from recording the order to passing it onward. The result can be zero or require additional staff time.

Start small. Measure a real service.

A limited, supported pilot would test the workflow with your team and guests during representative services. Agree on success measures before starting.

A limited sample reaches an observer and measurement sheet, with a decision gate before any wider rollout.
AI-generated pilot concept · observe and review before expanding.
  1. 1

    Choose a few tables

    Review the restaurant layout, guest needs, current order process and furniture. Agree on a manageable set of tables, the order route and staff responsibilities.

  2. 2

    Run a supported pilot

    Test table assignments, wireless coverage, delivery feedback and order acceptance. Keep personal ordering available and make failures visible throughout service.

  3. 3

    Review what changes

    Compare the pilot with the usual process, including adoption, handling time and staff workload. Use the results to choose the next step before considering a wider rollout.

What we would measure together

  • Staff handling time, including review, manual entry and corrections.
  • Guest adoption, abandoned submissions and ease of use.
  • Assistance delivery, acknowledgement and response times.
  • Missed, duplicated, rejected or incorrectly assigned orders.
  • Staff-reported workload and opportunities to attend to guests.
  • Coverage, outages, cleaning, batteries and routine upkeep.

Before you decide.

Two people consider open questions about connections, access and upkeep before deciding on a proposed system.
AI-generated decision concept · practical questions remain open.
Does every guest need a smartphone?

No. The intended experience keeps personal service available. Guests can use the physical assistance button or speak to a waiter, who can take their order and help with the menu.

Will this work with our ordering system?

That needs checking with your actual system. A supported integration may allow direct order delivery. Otherwise, the staff-screen route allows manual entry. No integration or universal compatibility is promised at this stage.

What happens if the connection drops?

Failures must be visible and ordinary waiter service must remain available. Guests should never be told an order is accepted when it has not been accepted. Any local operation during an internet outage depends on the chosen design and must be tested; it is not assumed.

Can we update the menu and mark items unavailable?

The proposed management screen would support menu changes and item availability. We would agree who maintains the menu and whether your current system can provide it. Prices and availability need an authoritative source, and the restaurant still accepts or rejects incoming orders.

Can guests pay through it?

Payment is optional and outside the initial ordering-and-assistance scope unless agreed for the pilot. Guests could continue paying through the restaurant’s usual process. Any payment feature would need a separately defined flow.

What customer information would it collect?

The basic menu and table-ordering experience should avoid requiring an account or unnecessary personal information. Exact data collection, retention and privacy information would be defined before the pilot. The registry’s own interest form is a separate, non-binding registration.

Is this available now, and what would it cost?

This is a proposed pilot, not a launched product. Venue suitability, hardware quantities, supported connections, responsibilities and pricing still need to be agreed. Expressing interest does not reserve equipment, place an order or commit you to a purchase.

Project scope

A proposed table-ordering and staff-assistance system for restaurants. The scope brings together a replaceable printed QR card, a physical call button, a phone-friendly menu and a staff order screen. The restaurant chooses a supported system connection, manual entry or kitchen ticket printing. Hardware, coverage, operating responsibilities and integrations would be agreed and tested in a venue before a wider rollout.

A deliberate boundary contains included components while optional additions wait outside an approval gate.
AI-generated scope concept · the written scope defines the proposed work.
Stage
Proposed pilot
Project by
Coding Reality
Scope and pricing
Scope, hardware quantities, supported connections and pricing would be agreed after reviewing the restaurant. This is a proposed pilot; no launch date or fixed price is being offered.

Could this make service easier in your restaurant?

Share your setup and help shape the first pilot. Registering interest is non-binding.

Two people examine and adjust a concept together during an open discussion about a possible pilot.
AI-generated collaboration concept · an enquiry is non-binding.
Explore a pilot

Let’s talk about your business.

Ask a question, explore a pilot or tell us what would help. Expressing interest creates no order or payment obligation.

A person considers a message, phone call or short enquiry form as separate contact options, with nothing sent automatically.
AI-generated contact concept · choose how to start a conversation.

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How can we help?

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