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In the travel industry, inquiries are not limited by business hours or location. A customer may search for a room late at night, request a flight change over the weekend, or need help after arriving at their destination. AI in tourism helps companies respond in these moments through AI agents that can assist travelers, access up-to-date information, and take action within the process: check availability, collect data, modify a booking, send documents, or transfer the case to a person when judgment, empathy, or a special decision is required.
This allows teams to absorb demand spikes, expand service availability, and reduce repetitive tasks without compromising quality. AI handles the most predictable steps, while people focus on the situations where they add the most value.
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AI in tourism: from answering questions to completing requests
A frequently asked question may seem like a simple interaction, but it often points to a broader process. When someone asks whether a hotel has rooms available for specific dates, they will probably also need to know the price, cancellation terms, included services, and payment options. If they have to wait several hours or switch channels to complete the booking, the risk of abandonment increases.
AI in tourism makes it possible to move from a one-off answer to end-to-end resolution. An AI agent can understand the request, check the booking system, present available options, and collect the information needed to move forward. This is agentic AI applied to real-world processes: technology that can understand a goal, connect to systems, and take action under the company's rules.
As a result, companies can resolve travelers' needs more effectively while also improving business metrics such as conversion, resolution rate, and cost per interaction.
Let's look at the different use cases for AI agents in tourism:
Use case 1. AI in tourism before booking: capture and convert demand more effectively
Before booking, travelers usually compare options. They review destinations, dates, prices, terms, and services, and they often contact several companies at the same time. At this stage, speed matters: responding quickly keeps interest alive and increases the likelihood of turning an inquiry into a booking.
At this point, AI agents can assist travelers precisely when they are making a decision. They can answer questions, recommend options based on dates, budget, or preferences, and gather the information needed to move forward.
When an inquiry shows purchase intent, the AI agent records it in the CRM and routes it to the sales team with the context needed to continue the conversation.
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Use case 2. Qualify requests and prioritize opportunities
Not every inquiry has the same likelihood of becoming a booking. Someone asking a general question about a destination is at a different stage from a traveler who already knows their dates, budget, and number of passengers or guests.
AI agents in tourism can collect this information during the conversation and record the data in the CRM. In addition, integrating AI with the CRM makes it possible to maintain follow-up when a person is not yet ready to book. The company can trigger later communications, recover abandoned inquiries, or notify the traveler when a suitable option becomes available.
With Infunnel, Inconcert's CRM and marketing platform, contacts, campaigns, and opportunities remain connected throughout the same sales journey. The team knows where each prospective traveler stands, can prioritize requests with the strongest booking intent, and continue nurturing those who need more time. It also becomes easier to measure which campaigns and channels ultimately deliver the best results.
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Use case 3. AI in tourism during booking: reduce friction and abandonment
Sometimes a booking is lost not because of a lack of interest, but because of friction in the process: a price that is not fully clear, a condition that raises questions, or a form that asks for too much information.
At this stage, AI can guide the traveler, answer questions, and help them complete the booking without waiting or switching channels. The tourism booking use case can therefore be divided into several subprocesses worth examining closely. What value can a tourism AI agent add at each step?
1. Complete bookings and changes within the conversation
When connected to the booking engine, PMS, ERP, or payment platform, the AI agent accesses information in real time and supports the traveler through the most important steps of the booking process.
Depending on the company's permissions and rules, AI agents such as Inagent can:
- Check available dates and options.
- Provide information about rates and terms.
- Collect traveler information.
- Add ancillary services.
- Send a payment link.
- Confirm or modify the booking.
- Share the relevant documentation.
How the agent is used depends on the type of tourism business:
- At a travel agency, the agent can collect preferences before routing the request to an advisor.
- At a hotel, it can manage a stay extension.
- At an airline, it can explain the available alternatives when a change meets the defined conditions.
Whatever the use case, the goal is to prevent the traveler from having to switch channels, repeat information, or wait while someone manually checks each system. If the request meets the established conditions, the AI agent can resolve it within the conversation and log every step. When an exception arises or a decision requires authorization, the request is transferred to the human team with the relevant information already collected.
2. Identify upselling and cross-selling opportunities
Booking conversations often create opportunities for additional revenue. A hotel can offer breakfast, transportation, parking, spa access, or a room upgrade. An airline can suggest additional baggage, seat selection, or lounge access. A travel agency, meanwhile, can add insurance, excursions, or services at the destination.
The tourism AI agent suggests these options when they are relevant to the traveler, based on the available information and the defined commercial rules. This helps the purchase move forward with less friction and makes the interaction feel more natural.
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Use case 4. AI in tourism after purchase: anticipate needs and support the traveler
After booking, the traveler still needs information: confirmations, reminders, documents, changes, or answers to questions before the trip. Proactively managing these interactions provides peace of mind and reduces the need for customers to message or call about basic questions.
AI agents can participate in processes such as:
- Booking confirmations.
- Sending confirmation numbers and tickets.
- Check-in reminders.
- Information about required documentation.
- Arrival and transportation instructions.
- Notifications about schedules or changes.
- Reminders about outstanding payments.
WhatsApp is especially useful for these communications. AI agents for WhatsApp can respond in the same channel, collect information, and transfer the conversation to the team when necessary.
Use case 5. Manage changes and cancellations
Date changes, cancellations, and service modifications often generate large volumes of repetitive inquiries for travel teams. These are frequent requests, but they do not always require human intervention from the outset.
Using the confirmation number, the AI agent checks the booking terms, presents the available alternatives, and completes the change when it falls within the defined rules. If an exception arises, it routes the case to the appropriate team with the information already collected.
This creates a faster and more convenient experience for the user, who does not have to repeat information or start over in each channel.
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How to start using AI in tourism
The most practical approach is to begin with a repetitive, measurable use case, such as after-hours service, confirmations, document delivery, or straightforward changes.
The next step is to define the systems the agent will access, the actions it is allowed to perform, the points at which a person must intervene, and the KPIs that will measure the outcome. Inconcert supports each company through use case selection, configuration, integrations, testing, and the entire production rollout.
Request a demo and discover the best first use case for your company.
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