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travel · 10 use cases

Top 10 sales and marketing use cases for AI agents in travel and hospitality

Ten workflows for the marketing, sales and reservations teams at hotels, resorts, tour operators and travel agencies, each with its trigger, the systems it touches, the one step a person approves and the measure that shows it worked.

What can AI agents do for hotel and travel sales and marketing teams today?AI agents can run the repeatable growth work around a hotel, resort or tour operator today: winning OTA guests back to direct, tuning metasearch bids, seasonal campaigns, review requests and replies, group and wedding enquiries, pre-arrival upsell, destination guides, abandoned booking recovery and tailor-made trip quotes. A person approves every guest-facing step.

OTA-booked guests turned into direct bookers for the next stay

A guest who booked through Booking.com or Expedia sleeps in your room, but the next booking often goes back through the same OTA and its commission. The agent finds departed OTA guests who gave the hotel marketing consent, writes a post-stay offer for a return stay at the member rate and holds it for the CRM manager’s approval.

Each morning, CORA pulls yesterday’s departures from Mews and flags guests who booked through an OTA and gave marketing consent at check-in. MIRA drafts a thank-you with a member rate for a return stay, naming the room type and the reason for the trip where the guest shared it. The CRM manager approves the segment and the offer before Revinate sends. Returning guests start booking on the hotel’s own engine.
a scene from the weekCRM manager at an independent city hotel. Illustrative, built from this workflow, not from a client.

the workflow, in one room

  1. TriggerEach day, pull departed guests from the PMS with booking source, stay details and consent flags.
  2. Keep only guests who booked through an OTA and gave the hotel marketing consent, and drop anyone who has opted out.
  3. Join each guest to the CRM profile and loyalty status, and choose the next-stay offer: a member rate, an upgrade or a late check-out.
  4. Draft a short post-stay email that names the stay and shows the member rate as an all-in price.
  5. Approved by CRM managerThe CRM manager approves the segment, offer and copy before anything sends.
  6. Send from the hotel’s CRM, track return bookings by source and suppress anyone who unsubscribes.
in the roomAIMIRA with CORAPeopleCRM managerTry this workflow
connects toOracle OPERA, Mews or Cloudbeds, Revinate, Cendyn or HubSpot, Booking engine such as SynXis or SiteMinder
measure it byDirect share of returning guests, Repeat bookings from former OTA guests, Commission saved on repeat stays

Guardrail. Email only guests who consented, or in the UK those who meet the ICO’s soft opt-in conditions, and give guests in India the standalone consent notice the DPDP Rules 2025 require.

Google Hotel Ads and metasearch bids tuned to direct bookings

Metasearch puts your direct rate next to the OTAs’ on the same screen, so a weak rate or a fee that appears late costs the booking. NIA reads cost, bookings and price accuracy across Google Hotel Ads, Tripadvisor and Trivago, and proposes bid and budget changes the e-commerce manager approves.

Overnight, NIA reads the Google Hotel Center price accuracy report and the rate shopper, and finds the direct rate losing to an OTA on two long weekends. It also flags a landing page where a resort fee appears only at checkout. MIRA drafts bid moves by market and length of stay, with the reason beside each. The e-commerce manager approves the bids and the rate fix, and direct bookings from metasearch become the weekly measure.
a scene from the weekE-commerce manager at a resort group. Illustrative, built from this workflow, not from a client.

the workflow, in one room

  1. TriggerEvery night, pull cost, clicks and bookings by hotel, market and length of stay from Google Hotel Center, Tripadvisor and Trivago.
  2. Compare the direct rate with OTA rates for the same dates from the rate shopper.
  3. Check the price accuracy report and flag any hotel where the price shown on Google differs from the booking engine total.
  4. Draft bid and budget changes by market, device and length of stay, with the cost per booking behind each.
  5. Approved by E-commerce managerThe e-commerce manager approves bid changes above the agreed threshold, and any rate fix, before they are applied.
  6. Apply the approved changes and log them for the weekly review with revenue management.
in the roomAIMIRA with NIAPeopleE-commerce managerTry this workflow
connects toGoogle Hotel Center and Google Ads, Tripadvisor and Trivago metasearch, Lighthouse or another rate shopper, Booking engine
measure it byDirect bookings from metasearch, Cost per direct booking, Price accuracy score, Dates where the direct rate is competitive

Guardrail. Google’s Hotel Center price accuracy policy requires the total, including mandatory taxes and fees, to match the booking page, and violations can lower placement or suspend a hotel.

Seasonal and event-driven campaigns planned from the demand calendar

School holidays, festivals, concerts and conferences fill some dates and leave others empty. The agent reads forward pace from the revenue system against the events calendar, plans campaigns for the soft dates and drafts ads and emails with all-in prices for the marketing manager to approve.

Months ahead, MIRA reads forward pace from IDeaS against the school holiday and festival calendar and spots soft weekdays after a long weekend. NIA drafts Google and Meta campaigns for those dates, RUPA prepares images from the approved photo library, and every price shows the total with mandatory fees. The marketing manager approves the dates, offers and creative before launch, so campaigns start while there is still time to fill the gap.
a scene from the weekMarketing manager at a beach resort. Illustrative, built from this workflow, not from a client.

the workflow, in one room

  1. TriggerEach month, pull forward occupancy and pace by date from the revenue management system.
  2. Overlay school holidays, festivals, public holidays and local events, and mark soft dates and compression dates.
  3. Plan each campaign window: audience, source market, offer and channel, with budget weighted to the soft dates.
  4. Draft ads, emails and landing page copy, using images from the approved library and prices shown as all-in totals.
  5. Approved by Marketing managerThe marketing manager approves the dates, offers, prices and creative before anything launches.
  6. Launch, then report pickup against pace for each campaign window.
in the roomAIMIRA with NIA and RUPAPeopleMarketing managerTry this workflow
connects toIDeaS or Duetto, Google Ads and Meta Ads Manager, Revinate or Klaviyo, Approved photo library
measure it byPickup on targeted dates against pace, Revenue per campaign window, Return on ad spend by window

Guardrail. In the US the FTC fees rule requires the all-in price with mandatory fees, and in India drip pricing and false urgency are both named dark patterns, so never claim rooms are nearly gone unless they are.

free guide and deckEvery travel use case on these pages, with its workflow drawn, to share with your team.Get it free ↓

Review requests and replies on Google, Tripadvisor and Booking.com

Travellers read recent reviews before they book, and an unanswered complaint stays on the profile for every later guest to see. Echo invites every departing guest to review, drafts a reply to each new review in the property’s voice and routes service failures to the general manager.

After checkout, Echo sends every departing guest the same invitation to review, with no discount or gift attached. Each morning it collects new reviews from Google, Tripadvisor and Booking.com, drafts replies that answer the specific point without naming the guest, and sends a complaint about a broken air conditioner to the general manager with the stay record. The guest experience manager approves every public reply, and recurring themes reach the weekly operations meeting.
a scene from the weekGuest experience manager at a mid-size hotel. Illustrative, built from this workflow, not from a client.

the workflow, in one room

  1. TriggerAfter checkout, send the review invitation to every departing guest, never filtered by survey score or expected sentiment.
  2. Collect new reviews each day from Google Business Profile, Tripadvisor and the Booking.com extranet.
  3. Draft a reply to each review that answers the specific point, in the review’s language, without naming the guest or sharing stay details.
  4. Route reviews that describe a service failure, with the stay record, to the general manager.
  5. Approved by Guest experience managerThe guest experience manager approves each public reply before it is posted.
  6. Summarise review themes weekly for operations and marketing.
in the roomAIEchoPeopleGuest experience managerTry this workflow
connects toGoogle Business Profile, Tripadvisor Management Center, Booking.com extranet, Revinate, TrustYou or ReviewPro
measure it byReview volume and recency by platform, Median time to reply, Review score trend

Guardrail. Google, Tripadvisor and Booking.com all bar incentives for reviews, Google and Tripadvisor also bar asking only happy guests, and Tripadvisor’s reply guidelines prohibit details that identify the reviewer.

Group, corporate and MICE sales outreach from real demand signals

Group and meetings business usually goes to the hotel that reaches the planner first with dates and space that fit. NORA watches for signals such as a congress announced in the city, a company opening an office nearby or a past group due to rebook, researches the planner and drafts outreach for the group sales manager to approve.

An association announces its annual congress in the city for next autumn, and a technology firm opens a regional office nearby. NORA researches the event planner and the travel manager, checks Salesforce for past stays and open RFPs, and SERA drafts a first email with meeting space and room block options that fit. The group sales manager approves the contacts and copy before anything sends, and every message names a reason to talk.
a scene from the weekGroup sales manager at a conference hotel. Illustrative, built from this workflow, not from a client.

the workflow, in one room

  1. TriggerA signal fires: a congress announced in the city, a company opening an office nearby, an RFP on Cvent, or a past group nearing its rebooking window.
  2. Check the account in the CRM and skip open RFPs, current contracts and anyone who has opted out.
  3. Research the planner, travel manager or event lead from the company site, LinkedIn and event listings.
  4. Draft a first email and a follow-up that name the signal and propose dates, a room block and meeting space that fit.
  5. Approved by Group sales managerThe group sales manager approves the contact list and first-touch copy before the sequence starts.
  6. Send with a working opt-out, log replies to the CRM and pass qualified leads to the right seller.
in the roomAISERA with NORAPeopleGroup sales managerTry this workflow
connects toSalesforce, Delphi.fdc or HubSpot, Cvent Supplier Network, LinkedIn Sales Navigator
measure it byGroup and MICE leads created, Proposals sent, Group room nights booked

Guardrail. CAN-SPAM covers business email in the US and requires a physical address and opt-outs honoured within ten business days, and contacts in India fall under the DPDP Act and its 2025 Rules.

Wedding and event enquiries answered with a same-day proposal

Couples and planners usually enquire with several venues at once, and the first clear, complete answer often wins the site visit. The agent logs each enquiry, checks the banquet diary and room inventory for the dates, and drafts a proposal with packages and an all-in price for the events manager to approve.

A wedding planner enquires through the website about a three-day celebration in the winter season. CORA logs the enquiry in the CRM, checks the banquet diary and room inventory, and flags a clash with a corporate offsite. SERA drafts a proposal with two date options, venue packages, a room block and the total with taxes. The events manager approves the proposal before it reaches the planner, and site visits get booked while the enquiry is still warm.
a scene from the weekEvents manager at a heritage wedding resort. Illustrative, built from this workflow, not from a client.

the workflow, in one room

  1. TriggerAn enquiry arrives by web form, email or WhatsApp with dates, guest count and event type.
  2. Log it in the CRM and check the banquet diary and room inventory for the requested and nearby dates.
  3. Match the enquiry to approved packages and flag clashes with held or contracted events.
  4. Draft a proposal with date options, venue and catering packages, a room block and the total including mandatory taxes and service charges.
  5. Approved by Events managerThe events manager approves the proposal and pricing before it goes to the couple or planner.
  6. Send, schedule a follow-up and book the site visit into the sales calendar.
in the roomAISERA with CORAPeopleEvents managerTry this workflow
connects toTripleseat, Delphi.fdc or Salesforce, PMS room inventory, Banquet diary, WhatsApp Business Platform
measure it byTime from enquiry to proposal, Site visits booked, Enquiry to contract conversion

Guardrail. Move the conversation to WhatsApp only after the couple or planner opts in, as WhatsApp’s Business Messaging Policy requires, and honour any request to stop.

Pre-arrival upsell and loyalty sign-up before the guest arrives

The days between booking and arrival are when guests decide on upgrades, transfers, spa time and dinner. LIPI sends a pre-arrival message timed to the stay, offers only the extras that fit the booking and invites non-members to join the loyalty programme, with the front office manager approving offers and copy.

A week before arrival, LIPI reads the booking from OPERA: a couple, a weekend stay, a standard room, booked direct. SERA drafts a pre-arrival email offering an upgrade to a view room, a late check-out and a dinner table, each priced in full and clearly optional, plus an invitation to join the loyalty programme. The front office manager approves the offers and copy for each segment, and upsell revenue per arrival becomes a weekly number.
a scene from the weekFront office manager at a city hotel. Illustrative, built from this workflow, not from a client.

the workflow, in one room

  1. TriggerA set number of days before arrival, pull the reservation from the PMS with room type, length of stay, channel and party.
  2. Choose the offers that fit: upgrade, early check-in, late check-out, transfer, spa or dining, using live inventory.
  3. Draft the pre-arrival email or WhatsApp message with each extra priced in full and clearly optional.
  4. Add a loyalty invitation for guests who are not yet members.
  5. Approved by Front office managerThe front office manager approves the offers, prices and copy for each segment before the journey runs.
  6. Send, write accepted extras to the reservation and report upsell revenue per arrival.
in the roomAISERA with LIPIPeopleFront office managerTry this workflow
connects toOracle OPERA or Mews, Oaky or another upsell tool, Revinate or Salesforce Marketing Cloud, WhatsApp Business Platform
measure it byUpsell revenue per arrival, Upgrade take rate, Loyalty sign-ups before arrival

Guardrail. Never add a paid extra to the booking by default, since basket sneaking is a named dark pattern under India’s 2023 guidelines, and send WhatsApp messages only to guests who opted in.

Destination guides and sample itineraries that answer planners’ questions

Travellers search for what to do, how long to stay and when to go before they search for a room or a tour. CREA writes destination guides and sample itineraries from the team’s own trip reports and local knowledge, RUPA prepares the images, and each page links the answer to a bookable stay or trip.

The sales team keeps hearing the same question: how many days are enough for Rajasthan? CREA drafts a sample itinerary with day-by-day routes, travel times and seasonal notes, drawn from the guides’ own trip reports, and RUPA prepares images from the approved photo library. The content lead approves the facts, prices and images before publishing. The page answers the question travellers ask and links straight to the bookable trip.
a scene from the weekContent lead at a tour operator. Illustrative, built from this workflow, not from a client.

the workflow, in one room

  1. TriggerCollect the questions travellers ask from sales emails, chat logs, Search Console queries and reviews.
  2. Pick the questions worth a guide or a sample itinerary for each destination and season.
  3. Draft from the team’s own trip reports and local knowledge, with travel times, seasonal notes and a link to the bookable trip or stay.
  4. Prepare images from the approved photo library, with captions and alt text.
  5. Approved by Content leadThe content lead approves facts, prices and images before the page is published.
  6. Publish, then track search traffic and bookings that start from each guide.
in the roomAICREA with RUPAPeopleContent leadTry this workflow
connects toWordPress or Webflow, Google Search Console, Approved photo library, Booking engine or tour reservation system
measure it byOrganic sessions to guides, Bookings that start on a guide page, Traveller questions answered per destination

Guardrail. Describe only places, routes and seasons the team has checked, date anything seasonal, and never present an agent-drafted guide as a traveller’s own account.

Abandoned booking recovery that restates the same total price

Many travellers reach the booking engine, then leave to compare or to ask someone first. LIPI follows up with known visitors who left a booking, restating the dates, the room and the same all-in total and answering the question that likely stopped them, with the direct channel manager approving the journey.

A signed-in member reaches the payment step for a family room on a holiday weekend, then leaves. LIPI picks up the abandoned session from the booking engine, checks the member’s marketing consent and drafts a reminder with the same dates, room and total, plus answers on parking and cancellation. MIRA tests the send timing. The direct channel manager approves the journey and its copy before it runs, and recovered bookings are reported against reminders sent.
a scene from the weekDirect channel manager at a boutique hotel group. Illustrative, built from this workflow, not from a client.

the workflow, in one room

  1. TriggerA known visitor, signed in or with an email captured earlier, leaves the booking engine before payment.
  2. Check marketing consent or soft opt-in status, and skip anyone who has opted out.
  3. Re-check availability and the total price for the same dates and room.
  4. Draft a reminder that restates the dates, room and total, and answers common blockers such as cancellation terms, parking and breakfast.
  5. Approved by Direct channel managerThe direct channel manager approves the journey, timing and copy before it goes live.
  6. Send, stop the journey after a booking or an opt-out, and report recovered bookings by journey.
in the roomAIMIRA with LIPIPeopleDirect channel managerTry this workflow
connects toSynXis, D-EDGE or SiteMinder booking engine, Revinate or Klaviyo, Google Analytics 4
measure it byRecovered bookings, Recovery revenue per reminder sent, Unsubscribe rate on recovery emails

Guardrail. In the UK send only with consent or where the ICO’s soft opt-in conditions are met, with an opt-out in every message, and in the US show the all-in total the FTC fees rule requires.

Tailor-made trip enquiries turned into quoted itineraries

Tour operators and travel agencies win tailor-made trips on how fast and how well they answer the first enquiry. FOLIO drafts a day-by-day itinerary and quote from past trips and contracted suppliers, notes whether the combination is a package, and the travel consultant approves it before it reaches the traveller.

A couple asks for a honeymoon combining the Kerala backwaters with a beach stay, with dates and a budget. FOLIO drafts an itinerary from past trips and contracted hotels, checks availability with suppliers and prices flights, transfers and stays as one total. SERA notes that the combination is a package, so the quote carries the protection details. The travel consultant approves the itinerary and price before it is sent.
a scene from the weekTravel consultant at a tailor-made tour operator. Illustrative, built from this workflow, not from a client.

the workflow, in one room

  1. TriggerA tailor-made enquiry arrives with dates, budget, party size and interests.
  2. Match it to past itineraries and contracted suppliers, and check availability for the key hotels and experiences.
  3. Draft a day-by-day itinerary with travel times, room types and the experiences included.
  4. Price the trip as one total and state whether the combination is a package and what protection it carries.
  5. Approved by Travel consultantThe travel consultant approves the itinerary, suppliers and price before the quote is sent.
  6. Send, log the quote in the CRM and schedule a follow-up call.
in the roomAISERA with FOLIOPeopleTravel consultantTry this workflow
connects toTourplan or Kaptio, Salesforce or HubSpot, Supplier contracts and rate sheets
measure it byTime from enquiry to first quote, Quote to booking conversion, Revenue per tailor-made booking

Guardrail. In the UK the Package Travel Regulations 2018 require package organisers to hold insolvency protection, through ATOL for flight packages, so a quote must say plainly what is protected.

Frequently asked questions

Where should a hotel or tour operator start with AI agents?

Start where the data already sits in your own systems and the work is easy to check: review replies, pre-arrival upsell from the PMS, or same-day answers to wedding and group enquiries. Each runs weekly, touches one guest-facing step a person approves, and answers to a measure you already track, such as upsell revenue per arrival.

Can AI agents reply to reviews on Google, Tripadvisor and Booking.com?

They can draft replies, and a person should approve each one before it posts. All three platforms bar incentives for reviews, Google and Tripadvisor also bar asking only happy guests, and Tripadvisor prohibits replies that identify the reviewer.

Can we email guests who booked through an OTA?

Only on a lawful basis you hold yourself. In the UK the ICO’s soft opt-in applies only to people who bought or negotiated to buy from you and were offered an opt-out at the time. In India the DPDP Rules 2025 require a standalone consent notice. Ask for marketing consent at check-in or on your own booking forms.

Do AI agents replace the revenue manager or reservations team?

No. Agents read pace, rates, enquiries and reviews, draft the campaigns, bids, proposals and replies, and execute after approval. Rate positions, bid changes above a threshold, proposals and every guest-facing message stay with the people who own them.

sources

  1. FTC: Rule on Unfair or Deceptive Fees to take effect on May 12, 2025
  2. Google Hotel Center Help: Price accuracy policy
  3. Google Maps: Prohibited and restricted content (fake engagement)
  4. Tripadvisor: FAQ for business owners
  5. Tripadvisor: Management response guidelines
  6. Booking.com: Guidelines and standards for reviews
  7. FTC: CAN-SPAM Act, a compliance guide for business
  8. ICO: Electronic mail marketing and the soft opt-in
  9. WhatsApp: Business Messaging Policy
  10. PIB: Government notifies DPDP Rules to empower citizens and protect privacy (2025)
  11. PIB: CCPA advisory on self-audit for dark patterns, listing the 13 specified patterns (2025)
  12. Department for Business and Trade: The Package Travel and Linked Travel Arrangements Regulations 2018, guidance

free guide

18 AI agent use cases for Travel & Hospitality

Every workflow on these pages as a designed guide and a presentation deck, ready to share with your team: a scene from the week, the workflow drawn with its approval gate, the systems it connects to and how to measure it. Light and dark editions, updated every month.

  • Top 10 sales and marketing use cases for AI agents in travel and hospitality
  • Top agentic AI use cases for travel and hospitality in H2 2026
  • Who is in the room: your AI team for travel and the people who approve
  • The guardrails and the rules they come from, with sources

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