The biggest bottleneck in a delivery restaurant is not the kitchen or the courier — it's the dispatcher. They answer the phone, record orders, handle complaints, and assign addresses. But one person can only take one call at a time. On Friday at six, when multiple guests are calling simultaneously, the second, third and fourth caller hears a busy signal — and orders elsewhere.
AI order taking for restaurants solves this problem. It's not experimental technology: we test it in live operation, in real restaurants, and the results speak for themselves.
"I define this as a dispatcher-free life. The AI is perfectly capable of taking 9 out of 10 orders by itself."
What exactly is AI order taking and how does it work?
Restaurant AI order taking means that when a guest calls the restaurant, it's not a person but an artificial intelligence that answers the phone. The restaurant keeps its own phone number — the call is simply redirected to the AI system.
The process step by step:
- The guest calls the restaurant at the usual number.
- The AI picks up on the first ring.
- It introduces itself and explains the basic instructions.
- It asks questions: delivery or pickup? Address? Payment method? What would you like to order?
- The guest states their order.
- The guest receives an SMS with the order summary.
- There are 3 minutes to make changes, after which the system accepts the order.
One of the technology's unique features is customization. Every restaurant can give its AI a unique name, voice and personality. Onira — that's the AI's name — speaks in a kind, professional tone by default, but can even take on the character of a Greek god. :)
"I am Zeus, the God of Zeus Restaurant." Fully customizable — the accent, the tone, everything can be changed.
The most important technical advantage: an AI can handle up to 16 calls simultaneously. A person picks up one phone — the AI picks up sixteen. During peak hours, Friday at six, this isn't a luxury but a business necessity.
"A person can only pick up one phone — the AI can pick up 16 at the same time."
The AI knows the menu and the slang too. If the system lists "French fries" but the guest asks for "chips", the system understands. It's fully trained on the menu, and the AI can process complex requests — sides, sauce choices, extra toppings, everything.
What results does it deliver in practice?
Results measured during live testing:
| Metric | Result |
|---|---|
| Successful order taking | 9 out of 10 (90%) |
| Average order time | Less than 1 minute |
| Previous average order time | 2.5–3 minutes |
| Upsell acceptance rate | 1 in 5 guests |
| Extra revenue from upsell | +1,500 HUF / order |
| Parallel call handling | Up to 16 simultaneous calls |
The 90% success rate is convincing on its own, but what's really remarkable: the remaining 10% is not lost due to AI error.
"The remaining 10% doesn't fail because the bot can't handle it, but because people don't interact properly. They don't answer, they hang up."
Some people simply don't know how to communicate with an AI: they don't answer questions or behave unpredictably. This isn't a technological limitation but an education issue, and time will solve it, as guests will experience that the AI dispatcher works, similar to how most of us now routinely order at McDonald's via kiosk, right?
For returning guests, the AI is even faster. The system knows previous orders and offers: "Last time you asked for delivery, would you like that again? Last time you paid cash, same this time? Last time you ordered this burger — would you like it again?" Returning guests answer with just yeses in 6 out of 10 cases. Five "yeses" and the order is done.
The upsell feature is also live. At the end of every order, the AI asks a personalized question:
"Would you like to try a divine Nutella banana pancake as well? Most of our guests love it."
One in five guests accepts the offer. That's 1,500 forints extra revenue per order — and the dessert margin is exceptionally high. The AI does this every single order, consistently, a thousand out of a thousand times. A human dispatcher often forgets or doesn't do it with enough enthusiasm.
Curious about the tasks of a restaurant dispatcher and which ones you can already automate? Read our next article!
Want to listen to our podcast on this topic?
Click to visit the Profitable Restaurant Podcast page
