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AI for restaurants: table bookings, orders and the same five questions every night

Opening hours, allergens, group bookings and pre orders, answered instantly on every channel, with tables and payments handled properly.

Restaurant inboxes are remarkably predictable. Opening hours, is there a table for four tonight, do you do gluten free, can we bring a cake, do you take groups of twelve, where do we park. The same questions, every service, while the team is plating food.

That is exactly the kind of work an AI front desk should take, and it is why restaurants see results quickly.

Answer the five questions and the phone calms down

Load your real information once: hours per day, menu and prices, allergen notes, group policy, corkage, dog policy, parking, accessibility. From then on, those answers arrive instantly on your website, Instagram, Messenger, WhatsApp and Telegram, in the customer's own language.

Two rules matter. It must answer only from what you provided, and it must say it does not know rather than invent. A guessed allergen answer is not a small mistake in this industry.

Bookings that respect the floor plan

A table booking is not a generic appointment. Configure it properly: service durations that match your turn times, seating capacity, and which tables serve which party sizes. Set working days and hours per service, so lunch and dinner behave differently, and a minimum notice so nobody books a table of ten for twenty minutes from now.

The guest picks a real slot, receives a confirmation and a cancellation link. Easy cancellation is what refills Friday at 20:00.

Deposits for the bookings that hurt

Large groups and peak slots are where no shows cost real money. Three options:

Payments run through Stripe or Square using your own account and their hosted checkout, so no card details touch your channels.

Pre orders and takeaway

If you sell anything ahead of time, set menus, event tickets, bottles, retail items, put them in a catalog with clear prices and let the front desk take the order and the payment in the conversation. Pickup windows keep collection times sane instead of everyone arriving at 19:00.

When staff should step in

Complaints, allergies stated as medical needs, large private events, press. Set those as trigger words so the conversation stops and the manager is alerted. And when a manager replies in the Instagram or WhatsApp inbox, the AI should stand down until they are finished, then resume quietly.

Multilingual is not a luxury

If tourists eat at your restaurant, answering in their language in the first reply is a conversion feature, not a nicety. The same information, no extra work, four languages by default.

What to measure

Three numbers tell you whether it is working: messages answered without staff involvement, bookings taken outside service hours, and no show rate on deposit protected slots. All three move within the first month if your information is loaded properly.

Start before your next busy week

Load hours, menu, allergens and group policy. Make dinner bookable with a deposit for parties of eight or more. Read the transcripts for a week and fix what it did not know. That is a single afternoon of work for a front desk that never misses a message during service.