There are four document and research tasks that come up most frequently for travel advisors and where AI adds the most immediate value. I am going to take each one in turn.
The first is supplier brief summarisation. You receive a lengthy document from a supplier: a destination guide, a product update, a detailed property brief. Rather than reading it in full before you know what is relevant, upload it and ask: “What are the most important things in this document for a client who is [brief client profile]?” Or: “Summarise the key selling points of this product for a luxury traveller who prioritises privacy and personal service.” The tool works through the document and surfaces what is relevant to the criteria you have specified. You still read what comes back with a critical eye: but you are reading a targeted summary, not forty pages of mixed content.
The second is client questionnaire analysis. When a client fills in a pre-consultation questionnaire, the information is often spread across multiple fields, written in different ways, and requires some synthesis before you can see the shape of what they are actually looking for. Upload the questionnaire and ask the tool to extract the key preferences, identify any tensions or contradictions in what the client has said, and produce a structured brief you can work from. What would take fifteen minutes of careful reading and note-taking takes thirty seconds, and the structured output is often clearer than the raw questionnaire because the tool has done the synthesis work.
The third is option comparison. When you are assessing competing properties, itinerary routes or product options for a specific client, upload the relevant documents and ask the tool to compare them against the criteria that matter for this client. “Compare these three properties on: location relative to the main sites, suite categories available, dining options, and suitability for a couple celebrating an anniversary who value privacy over social atmosphere.” The tool produces a structured comparison you can use directly in your thinking, and edit into client-facing language if needed. This is significantly faster than building the comparison manually and, done well, it is more rigorous because the criteria are explicit rather than intuitive.
The fourth is research synthesis. When you are building your knowledge of a destination, a region or a product type, AI can synthesise across multiple sources far faster than you can read them individually. Ask it to give you a current overview of a destination from a luxury travel perspective, then interrogate the specific aspects you need: what is the current best time to visit and why, what are the most common client complaints and how are the best operators addressing them, what has changed in the last two years that affects how you would recommend this destination. The research module in the course architecture covers this in more depth, but the capability begins here.
