Restaurant automation: what to automate first

Automate first the job that repeats all day and does little harm when the machine gets it wrong, because a person can step in. In most restaurants that points to software jobs such as phone calls, delivery-app order entry or scheduling, well before a kitchen robot. Score your own jobs on the worksheet below to check.

Restaurant automation covers two kinds of tools. Software takes over a task on a screen or phone line. Machines take over a physical task on the line or the floor. Software costs less to try and is easier to switch off. Machines need space, installation and a plan for when they stop.

What can a restaurant automate today?

Job	Automation that exists	Example	Setup effort	Risk when it fails
Phone calls	AI agent answers questions, takes orders, transfers calls	Maple; SoundHound	Low: call routing and menu setup	Medium: the guest hears the mistake
Order entry	Delivery-app orders sent straight into the POS	Deliverect marketplace integrations	Low to medium: menu mapping	Medium: a missing or wrong ticket
Payments	Handheld pay at the table; card payment by phone	Toast Go 3; Maple Pro	Medium: hardware and training	High: money and card data
Reservations	Online and phone booking into the reservation system	OpenTable with Maple Pro	Low: account connection	Medium: a wrong booking meets a guest at the door
Scheduling	Schedules built from a sales forecast	7shifts sales forecasts	Low: POS sales data	Low: a manager reviews it
Inventory counts	Camera counts; invoice scanning	NomadGo at Starbucks (ended); Toast invoice scanning (beta)	Medium: side-by-side counts	Medium: wrong orders to suppliers
Prep	Avocado processing; automated bowl lines	Chipotle Autocado and Hyphen (tests)	High: custom machines	Medium: staff go back to hand prep
Cooking	Robot fry stations; automated bowl kitchens	Miso Flippy; Sweetgreen Infinite Kitchen	High: space, install, lease	High: a station goes down in a rush
Cleaning	Floor robots that sweep, scrub and vacuum	Pudu CC1 Pro	Medium: mapping the space	Low: staff clean by hand

Which front-of-house jobs are easiest to automate?

Phones. An AI phone agent answers calls, gives hours and menu answers, and takes orders. SoundHound says its agents take phone, drive-thru and kiosk orders and connect to the POS.

Maple's plans are Voice at $150/month billed monthly or $85/month billed yearly for answering, FAQs and call transfer, and Pro at $350/month billed monthly or $220/month billed yearly, which adds phone orders into a supported POS, reservations on OpenTable and secure payment over the phone.

Order entry. If staff re-key delivery-app orders into the POS, that is the plainest waste to remove. Deliverect says it sends third-party marketplace orders straight into the POS from one dashboard.

Payments. Toast says its Toast Go 3 handheld takes tap, dip and swipe payments at the table. Payment automation carries the most risk on this list, so test refunds and card failures before launch.

Reservations. Maple Pro books, changes and cancels OpenTable reservations over the phone. Test a new booking, an unavailable time and a cancellation against your own policy.

Which back-office jobs are worth automating?

Scheduling. 7shifts says it uses historical sales and labor data to forecast staffing needs and warns about labor-rule problems as you build the schedule. The manager still reviews the result, which keeps the risk low.

Inventory counts. Test hard before you trust this one. Starbucks rolled out camera-based counting from NomadGo in September 2025, then ended it in May 2026 after reports that it miscounted and mislabeled products.

Toast added AI invoice scanning in beta for Toast Retail in May 2026. Invoice capture is a smaller job than a full count, and easier to check.

Is kitchen automation ready for a normal restaurant?

A few machines are in real kitchens. Miso rents its Flippy fry station for $5,400 per month with no upfront cost, per its January 2025 release. A Miso filing showed it in 13 White Castle and Jack in the Box restaurants in early 2025, Restaurant Dive reported.

Sweetgreen's automated Infinite Kitchen runs in more than 20 of its locations. Chipotle began testing Autocado and a Hyphen bowl line in September 2024, one California restaurant each.

Fully automated food service exists in narrow cases. Donatos opened an autonomous pizza store at the Columbus airport in June 2025; people still restock and clean it. Picnic, which made a pizza-topping robot, shut down in May 2026.

For cleaning, Pudu's CC1 Pro, launched in May 2025, sweeps, scrubs, vacuums and dust-mops floors on its own.

How do you score each job?

Give each job four numbers, then work out its score. Use your own counts, not a vendor's.

1. Hours (H): staff hours the job takes in a normal week.
2. Sameness (S), 1 to 5: how alike each instance is. A reservation request is a 4. Handling a complaint is a 1.
3. Fallback (F), 1 to 5: how easily a person can take over when the tool fails. A phone transfer to staff is a 4. A fry robot mid-rush is a 2.
4. Effort (E), 1 to 5: cost and work to set up, including install, training and contract terms. Software with a monthly plan is a 1 or 2. A leased machine is a 5.
5. Score: H × S × F ÷ E. Start with the highest score.

What does a filled-in worksheet look like?

The numbers below are made up for a single takeout-heavy restaurant. They illustrate the method and are not drawn from a real restaurant.

Job	Hours (H)	Sameness (S)	Fallback (F)	Effort (E)	Score
Phone calls	15	4	4	2	120
Fry station	40	5	2	5	80
Delivery-app order entry	6	5	4	2	60
Scheduling	3	3	5	1	45
Floor cleaning	7	4	5	4	35
Inventory counts	4	4	4	2	32

In this example the phones win, even though the fry station takes more hours, because a person can take over a call and the setup is lighter. A restaurant with a busy fryer and no phone traffic would see a different order. Rescore after each project, because the hours move.

What should you ask before you sign?

1. Can we trial it on our own menu, POS and busiest hours?
2. What happens, step by step, when it fails during service, and who fixes it?
3. What is the full monthly cost, including hardware, install, support and payment fees?
4. How long is the contract, and what does it cost to end it?
5. Who owns the data it collects, and can we export it?
6. How will we count results against our current process?

If phones score highest for you, the Maple phone ordering page sets out a trial from call to kitchen.

Published by Maple. This AI-assisted guide combines vendor pages, company press releases and trade news reports with an original scoring worksheet. The worked example uses made-up numbers. It does not report a test we ran or promise any result from these tools.