We built an AI travel assistant that understands detailed guest requests, checks live availability, suggests suitable options and helps complete the booking, instead of sending guests to another booking page.
Industry: HospitalityService: AI & AutomationUpdated
Overview
The challenge
The old chatbot answered basic questions but couldn't check live room availability, combine a guest's preferences or help finish a reservation that took several steps.
Guests often went to third-party booking sites because they could finish the job there. The group wanted the help of a travel agent inside its own digital channels.
Guests gave up on long forms when their request involved several preferences or add-ons.
Guests who arrived directly still left for external booking platforms to complete the reservation.
Guest preferences and loyalty information weren't used during the booking conversation.
The solution
The assistant interprets everyday requests about room preferences, dates, amenities and trip plans.
It connects to the booking and payment systems to confirm availability and move the reservation forward.
Confirmed choices and useful preferences are saved back to guest records, so staff and digital channels work from the same information.
Before and after
Before
FAQ answers
The chatbot mostly returned information or links.
After
Help that gets things done
The assistant takes the guest from a question to a reservation.
Before
One session at a time
Each conversation started with little useful knowledge of the guest.
After
Aware of preferences
Guest history and preferences shape the options and upgrades offered.
Before
Form-based
Guests had to turn their needs into a series of booking filters.
After
Conversational
The assistant handles requests with several steps in one conversation.
Key features
The assistant checks real availability and helps complete a reservation, rather than only answering questions.
Business impact
40% higher direct conversion
Guest preferences improve recommendations without exposing sensitive information more than necessary.
Business impact
A more relevant guest experience
Availability and booking details come from connected systems, so the assistant works with current information.
Business impact
Less friction when booking
Results
40% Increase in Direct Bookings
Booking a complex stay directly used to be cumbersome. Guests can now finish these bookings in the group's own channels, and direct bookings are up 40%.
Before: CumbersomeAfter: 40% Increase
25% Less Support Work
Reservation changes and detailed requests used to congest the support queue. The assistant now handles some of them automatically, cutting support work by 25%.
Before: CongestedAfter: Automated
1.8s p95 Response Time
95% of replies arrive within 1.8 seconds, down from under 3 seconds, so the conversation keeps moving.
Before: < 3sAfter: 1.8s
Faster delivery
These components were already proven, so the team could focus on the group's booking flows and guest experience, and the assistant launched sooner.
Our tested access layer gives the assistant scoped permission to check availability and create reservations, and nothing more.
Existing hospitality knowledge components gave the assistant a starting point on room types, amenities and property information.
Performance monitoring tracks reply times, helping keep 95% of responses within 1.8 seconds.
Pricing controls check every rate against the connected booking systems before the assistant shows it to a guest.
Trust and control
Room and pricing details are checked against the connected booking systems before a guest sees them.
CURRENT DATAGuest information is handled in controlled, encrypted systems rather than being shared with the AI model when it isn't needed.
PRIVACY FOCUSEDImportant booking and payment actions can require extra checks before they complete.
CONTROLLED ACTIONSThe client owns the custom AI workflows and booking integrations built for the project.
100% OWNEDThe old chatbot only answered basic questions or returned links. The new assistant understands requests about dates, rooms, amenities and trip plans, checks live availability, uses guest preferences and moves the reservation forward through the booking and payment systems. It handles multi-step requests in a single conversation.
Direct bookings rose 40% because guests can now complete complex reservations in the resort group's own channels instead of leaving for third-party booking sites. The assistant also cut support work by 25% by handling some reservation changes and detailed requests, and 95% of its replies arrive within 1.8 seconds.
Guest information stays in controlled, encrypted systems and is not shared with the AI model unless it is needed. The assistant has scoped access to the booking and payment systems, and important booking or payment actions can require extra checks before they complete. Room and pricing details are checked against live systems first.
If guests leave for third-party sites to finish complex bookings, we can build an assistant that checks live availability, remembers their preferences and completes the reservation with you.