Poor Hotel Data Is Killing Direct Bookings. C.U.P.S. Can Fix It
Daniel Doppler opens with a simple experiment — ask an AI to recommend a hotel in your city — and uses the almost universally disappointing results to make a pointed argument: most hotels are invisible to AI not because of anything the technology does wrong, but because their own data is too fragmented, inconsistent, and unstructured for a machine to trust. His four-step CUPS framework offers a practical starting point for fixing that before the window closes.