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AI phone ordering for restaurants: real examples and how to set it up

Updated 2026-10-23 · Based on 19 real use cases on this site, each linked to its source.

AI phone ordering means a voice AI answers your restaurant's phone, takes the order from your menu, reads it back, often takes payment, and sends it straight to your kitchen or POS (like Toast, Square or Clover). If the caller wants a person, it passes the call to staff.

The problem is the same almost everywhere: the phone rings hardest exactly when the kitchen and counter are busiest, so calls get missed or put on hold and the customer orders somewhere else. Below are real pizzerias, cafés, seafood spots and counter-service restaurants that handed their phones to AI, what they used, and the steps you can copy.

On this page: Real examples · How to set one up · FAQ

What AI phone ordering can do

  • Answer many calls at once, so nobody gets a busy signal. One pizzeria in our list takes up to 10 orders at the same time.
  • Take the order from your menu and send it into your POS, so it prints in the kitchen like any other ticket.
  • Take payment on the call, so pickup is grab and go and fewer orders are never collected.
  • Answer the same questions all day: hours, wait times, menu items, dietary needs.
  • Take orders in Spanish, Portuguese, Italian and other languages your regulars speak.
  • Pass the call to a person for reservations, big catering orders or anyone who asks.

What owners worried about, and what happened

  • Older regulars: a Florida pizzeria and a 43-year-old seafood cafe both worried about older callers. In both case studies, customers adjusted, and the seafood cafe lets anyone who asks for a person get one.
  • Jobs: a Vero Beach pizzeria says no jobs were cut and staff moved from the phones to the counter. A Livermore pizzeria moved its phone hours to the kitchen.
  • Getting orders wrong: most tools read the order back before sending it. Give it a clean, up-to-date menu and check the first few days of orders.

What to watch out for

  • Check that the tool connects to the POS you already use before you sign up.
  • Keep your menu and prices up to date in the tool, or it will quote old prices.
  • Decide what goes to a person: big catering orders, complaints, reservations.
  • Most results here come from case studies written by the tool maker. Some yearly numbers (the Maple stories) are the pace so far carried over a year, and they are sales, not profit.

Real examples by type of restaurant

Every result below is what the linked source reports. Company case studies are written by the tool maker, so read them with that in mind.

Pizzerias that stopped missing calls in the rush

Taking orders in more than one language

Counter-service, seafood and bagel shops

Cafés, brewpubs and bakeries: questions, bookings and after-hours calls

How to set up AI phone ordering at your restaurant, step by step

  1. Count the calls you miss. Look at your phone log for a couple of weeks, especially the dinner rush. A Livermore pizzeria found 42% of calls were missed or put on hold before it switched.
  2. Pick a tool that works with your POS. The examples here send orders into Toast, Square and Clover. Ask the tool maker which POS systems it connects to.
  3. Load your full menu and prices. Include sizes, add-ons and anything you don't offer by phone. Tell it the pickup times to give.
  4. Decide on payment. Several examples take payment on the call. A Detroit pizzeria brought phone orders back only once they could be paid before pickup, and a Clovis bowl shop asked for prepaid orders to stop no-shows.
  5. Turn on the languages your callers speak. A Dallas taqueria found about 85% of callers order in Spanish. A Redondo Beach pizzeria takes calls in English, Portuguese and Italian.
  6. Set when a person takes over. Reservations, big catering orders, complaints, or any caller who asks for staff. Write these rules down before you go live.
  7. Go live, then check the first week. Setups in our examples took from 24 hours to 3 days. Listen to a few calls, check the tickets, and fix the menu or script where it went wrong.

Frequently asked questions

What is AI phone ordering for restaurants?

A voice AI that answers your restaurant's phone, takes orders from your menu, reads them back, often takes payment, and sends the order to your kitchen or POS. It can also answer common questions and pass calls to staff.

Does it work with Toast, Square or Clover?

Many tools do. The examples on this page send orders into Toast, Square and Clover. Check that the tool you pick connects to your POS before you sign up.

Can it take payment over the phone?

Some can. In our examples, a San Leandro pizzeria's AI takes the order and payment in about one minute, and a Detroit pizzeria and a Clovis bowl shop have phone orders paid before pickup.

Will my older customers hang up on a robot?

It was a common worry. A Port St. Lucie pizzeria says its older customers adjusted, and a Winston-Salem seafood cafe with 43 years of call-in regulars says the regulars still call in. Let anyone who asks for a person reach staff.

Can it take orders in Spanish or other languages?

Yes, in several examples. A Dallas taqueria and a Union City pizza shop take orders in English and Spanish, and a Redondo Beach pizzeria takes them in English, Portuguese and Italian.

How long does setup take?

In our examples, a San Leandro pizzeria was live in 24 to 48 hours and a Port St. Lucie pizzeria in 3 days. Plan time to load your menu and test calls.

Does it replace staff?

Usually it frees them. A Port St. Lucie pizzeria went from two phone people to one, and a Livermore pizzeria moved more than 25 hours a week of phone work to the kitchen. A Vero Beach pizzeria says no jobs were cut; staff moved to the counter.

What results have restaurants reported?

As reported by each source: a Livermore pizzeria's missed or held calls went from 42% to 0%; a Port St. Lucie pizzeria cut labor costs by over 24%; a Dallas taqueria's owner says phone orders tripled; and a Clovis bowl shop takes about 7,000 phone orders a year worth about $186,000 at its pace so far (sales, not profit). Most of these are case studies written by the tool maker.

Related pages

Taking phone orders with AI at your restaurant? Share your results.