Artificial intelligence for hospitality and restaurants
In hospitality, AI pays off where there are many repeated queries and little time to answer them: bookings, guest and diner questions, reviews, and demand and purchasing forecasts. It integrates with your booking system, PMS or POS, and leaves the team focused on in-person service, which no system replaces.
By Oliver Guirado · Updated on October 28, 2026 · 5 min read
Why hospitality is a good ground for AI
A hotel or restaurant receives the same questions all day (opening hours, allergens, availability, how to get there, what the rate includes) and almost always at the worst moment: when the team is serving. Every unanswered call is a lost booking. AI replies at any hour, in several languages, and frees the team for what adds value: the customer experience.
Bookings and enquiries assistant for a restaurant group
Problem
At service time nobody answered the phone or messages; bookings were lost and the team replied by hand to the same questions about hours, menu and allergens.
Solution
An assistant on WhatsApp and web (and by voice, if desired) connected to the booking system, which informs with each venue’s real data, manages bookings and hands special cases such as large groups or events to the manager.
Steps
Analysis of enquiry reasons and booking rules per venue.
Connection to the booking system and the menu.
Tests with real conversations and definition of limits (allergens, complaints).
Launch venue by venue with weekly review.
Target outcome
Fewer lost bookings and fewer interruptions on the floor, with consistent answers across venues.
Technology
WhatsApp Business, booking system via API, knowledge base of menu and policies, language model.
Sample project · Hotels
Digital concierge and review analysis for a hotel chain
Problem
Reception handled repeated guest questions across several channels and reviews, in several languages, were read without any joint analysis.
Solution
A multilingual assistant for before, during and after the stay, with hotel information and handover to reception, and a dashboard that groups reviews by topic and trend.
Steps
Inventory of frequent questions and services per hotel.
Assistant connected to the PMS and the messaging channel.
Review analysis by topic and language with human review.
Pilot in one hotel and rollout.
Target outcome
Less repetitive load on reception and a clearer view of what guests value and criticise.
Technology
PMS via API, messaging, RAG over hotel information, multilingual text analysis.
The projects on this page are illustrative, anonymised examples of how we approach this kind of work. Every real project is defined with your information, your systems and your goals.
Data, integrations and compliance
Booking and customer data: consent, minimisation and limited retention (GDPR).
Allergens and health: the system only repeats information validated by the venue and refers to staff for any doubt.
Integrations: booking system, PMS, POS, booking channels and messaging via API.
Transparency: the customer knows they are talking to a system and can switch to a person.
Where to start
Count the queries and lost bookings by time slot.
Start with bookings and frequent questions on the channel you use most.
Add languages and guest support once the first case works.
Extend to forecasting and purchasing with the data collected.
Reference prices for AI in hospitality and restaurants
What is usually implemented first
Indicative investment
Typical timeline
Bookings and enquiries assistant on WhatsApp and web
€8,000 – €25,000
5 – 10 weeks
Multilingual digital concierge connected to the PMS
€12,000 – €40,000
2 – 4 months
Demand and purchasing forecasting
€15,000 – €45,000
2 – 4 months
Indicative reference prices in euros, excluding VAT, for projects in Spain and Europe in 2026. The final amount depends on scope, integrations and data quality; we confirm it with a fixed quote after a first meeting.
Mainly to handle bookings and enquiries by WhatsApp, web or phone, help guests in several languages, analyse reviews and forecast demand and purchasing, always with team review.
Does it integrate with my booking system or PMS?
Yes, via API or import, depending on the software you use. We check before quoting.
How much does an AI bookings assistant cost?
A bookings and enquiries assistant on WhatsApp and web costs between €8,000 and €25,000 depending on channels and integrations. These are reference prices excluding VAT.
Can it answer about allergens?
Only with information validated by the venue and with a clear warning; for any health doubt, the assistant refers to staff.
Does it serve customers in several languages?
Yes. Language models reply in many languages; quality is evaluated in the ones your customers actually use.
Shall we talk about your project?
Tell us about your case and we will reply within 24-48 hours with a proposed scope and an indicative quote.
