AI agents for marketing teams in travel agencies

The January sales and the half-term push each need an email, a landing page and an offer table built from supplier price sheets, so the team starts late and a "from" price is already stale by the time the send is approved.

→An agent drafts each campaign from the offers sheet and, two days before send, checks every price, date and link against the latest supplier emails, leaving the marketer to fix flagged lines and approve the send.

Supplier offers arrive as newsletters, portal notices and brochure PDFs, and nobody has the hours to log them, so an extended early-bird date or a withdrawn deal is only discovered after it has been advertised.

→An agent reads the supplier emails and portal notices on a schedule, records each offer with its expiry and image licence terms, and flags any live campaign that quotes something that has changed.

The travellers most likely to book again are already in the booking system, but the mailing list lives in Mailchimp, so remarketing means exporting by destination, filtering by hand and hoping consent was checked.

→An agent rebuilds the returning-traveller segments each week from past bookings, strips unsubscribes and missing consent first, and drafts the nudge for approval so the marketer reviews a segment instead of building one.

Reviews appear on Trustpilot, Google and Facebook on different days, and the one that hints at a real service failure sits unanswered next to the glowing ones until a prospect finds it on a quiet Sunday.

→An agent checks each review site every weekday morning, drafts a specific reply for every review, and routes the unhappy ones to the owner with the booking context so the public answer is considered, not rushed.