The AI that scores every visitor on your website before they escape
Lighthouse Direct has just launched a scoring system with five algorithms that classifies each visitor to your website in real time. This isn't a pretty analytics dashboard: it's AI that evaluates purchase intent and spending capacity before the user bounces to an OTA. While most Western hotels still show the same image to everyone, this serves tailored offers on the fly.
Shanghai moved first. The city's 100 AI tourism terminals were built on 84,000 content entries that function as a destination data layer. The interface didn't come first: the infrastructure did. Emerging markets are developing sales instincts that luxury chains never cultivated because they didn't need to. When margins are tight and guests are skeptical, you learn to read fast.
Here's where it gets interesting: this Pertlink model and similar systems aren't replacing classic revenue management. They're making it nimbler and less blind. The difference between capturing the guest willing to pay €150 on a Friday night and losing them because you showed the base rate is precisely that decision speed. Hotels that once needed weeks of A/B testing and manual analysis now execute in milliseconds.
Quick questions
How does an AI scoring system work on a hotel website?
Why did Shanghai build data first, interface second?
What advantage does this have over what OTAs do?
Do emerging markets have an edge because they use AI differently?
Do I need to change my revenue management to use this?
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