AI Tip: Ask Your Own Booking Data Where You're Leaving Money on the Table

Turn your commission report into a business strategy in 15 minutes.

Complexity Level: ✈️✈️ (2 out of 5)

Hotel and airline revenue teams have started asking questions about their own occupancy and revenue data in plain English — Amadeus showed off a version of this at HITEC, the big hotel-tech conference. The new part is the direction you point the AI: at your own business numbers for analysis, not at a client email for polishing.

You sit on the same kind of gold mine: your commission statements, your booking history, your client list. You can run the same play for free.

• Open or export your most recent commission report(s). Ideally, a year's worth of data in one or more spreadsheets or PDFs is fine.

• Strip out the sensitive stuff first. Remove client names and anything that identifies a person. Keep the numbers, destinations, trip types, dates, and dollar values. Do not paste client names or personal details into a public AI tool!

• Paste the cleaned report into ChatGPT, Claude, or Gemini and ask these questions:

1. What patterns do you see in this data — destination, trip type, average booking value, time of year?

2. Based on these numbers, where am I likely leaving money on the table?

3. What niche/product category should I consider doubling down on next year?

• Read the answers as a starting point, not gospel. AI is good at spotting the patterns that you are too busy to notice across a full year of bookings. You need to decide which ones are worth acting on though.

You might learn that river cruises are a third of your revenue from a tenth of your bookings, or that you quietly own honeymoons in one region. That is the kind of thing a busy advisor feels but rarely sees laid out in numbers.

Try this today: export your most recent commission report, remove the client names, and paste it into your AI tool with question one.

– Keep building with AI,

Jason

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