Restaurant Kiosks, Automation and AI: A Practical Guide for Operators
Kiosks, AI phone ordering and automated marketing
You'll now find self-service kiosks, AI phone ordering and automated marketing in UK and Irish restaurants of every size, from single-site takeaways to QSR chains with dozens of locations. They solve different problems, and they don't suit every business equally. Below is what each one does, where it pays off and what to ask a supplier before you sign anything.
Self-service kiosks
A self-service kiosk is a touchscreen in the restaurant. Customers browse the menu, customise their order and pay on it, then the order goes straight to the kitchen. Nobody at the counter has to touch it.
The main reason operators buy them is order value. A kiosk shows every modifier, upsell and add-on, every time. A person behind the counter doesn't, especially on a busy night, and plenty of customers feel awkward being asked "do you want to make it a large?" by a human. They'll happily tap the button on a screen. The uplift usually quoted is somewhere between 15% and 30% over counter orders.
Kiosks also take pressure off the queue at peak times. In a small unit with one till point, two or three kiosks can be the difference between a queue out the door and no queue at all. And the staff who were taking orders can go back to the line, bag up delivery orders or deal with customers who actually need help.
They make most sense for:
- fast casual and QSR sites with predictable rushes
- menus where people customise a lot (burgers, bowls, poke, pizza)
- multi-site groups that can spread the hardware cost across locations
- anywhere the counter queue is a regular headache
They make less sense in fine dining, where being looked after by a person is part of what the customer is paying for. Very small operations may struggle to justify the upfront cost, and if your menu has six items and no options, there's not much for a kiosk to upsell.
What kiosks cost
Hardware for one kiosk usually runs £3,000 to £8,000, depending on screen size, the enclosure and how payments are integrated. Software is normally a monthly licence, often bundled into a wider POS package.
A rough payback sum: 100 kiosk orders a day at a £12 average, with a 20% uplift, is £240 a day in extra revenue. On a £5,000 kiosk that's about three weeks. That's revenue, not profit, so the real payback is longer once you account for food cost, but the maths still works out fast at decent volume.
AI phone ordering
AI phone ordering uses voice AI to answer the phone, take the order and send it to the kitchen without a member of staff picking up.
Plenty of takeaways and delivery restaurants still take a big share of orders by phone, often from older customers who'd rather call than use an app. On a Friday night the phone either rings out or someone stops cooking to answer it, writes the order down and then types it into the POS. The calls that ring out are lost sales, and they never show up on a report.
An AI phone agent handles the whole call. It greets the caller, goes through the menu, takes changes ("no onions, extra cheese"), reads the order back and gives a collection or delivery time. Because it's connected to the POS, the order lands on the kitchen screen like any other.
How accurate it is depends on the system. Generic voice assistants struggle with menu items and half-and-half pizzas. Pick one that's been built and trained on restaurant ordering calls.
It's worth a look if phone orders are 20% or more of your revenue, if you're short-staffed and can't reliably get to the phone during service, or if you run several sites and want every one of them answering the phone the same way.
AI marketing
AI marketing tools use your customer order data to build and send campaigns automatically. Someone who hasn't ordered in six weeks gets a reactivation email. A regular gets a loyalty reward. A win-back offer goes out around the time a customer would normally have ordered again.
Most restaurants already collect this data through their own website or app and then do nothing with it, because sorting customers into groups and writing the campaigns by hand takes hours nobody has. The AI does the sorting, the copy and the timing based on how each customer actually orders.
Numbers matter here. You need a decent base of direct ordering customers (roughly 1,000 or more), a steady order history for the system to learn from, and a direct channel that's active rather than gathering dust. With 200 online customers you won't see much. With 5,000 active customers, well-timed campaigns can bring in real extra revenue.
Running all three on one system
Each of these works on its own, but they work better together:
- Kiosks take in-store orders, at a higher average value
- Your website and app take digital orders
- The AI phone agent takes the phone orders
- All of that order data ends up in one place
- AI marketing uses it to bring customers back
If every channel feeds the same platform, the marketing is based on what each customer actually does, in the shop, online and on the phone, rather than a partial picture from one channel.
How Flipdish does it
Flipdish is a restaurant AI platform that includes self-service kiosks, AI phone ordering and AI marketing, along with a full restaurant POS and online ordering. Everything runs on the same data, so customer profiles, order history and campaigns live in one system instead of being stitched together with third-party integrations.
If you're only looking at one of these for now, ask whether the supplier can do the others too. Separate systems mean separate customer data, and the automation can only work with what it can see.
Questions to ask before you buy
Kiosks:
- Does it integrate natively with my POS and kitchen display?
- Can I manage the kiosk menu from the same back office as my other channels?
- What are the hardware warranty and support terms?
AI phone ordering:
- What happens when the AI can't handle a call? Does it hand over to a person?
- How does it learn my specific menu?
- What does the order look like when it reaches the kitchen?
AI marketing:
- What customer data does it use, and where does that data come from?
- Can I review campaigns before they go out?
- What does it report on?