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Show Notes

Olivier Boinet is the founder of room-matching.com, a dynamic room-mapping platform used across the travel industry, and Omnitravel.ai, a data normalization and AI-readiness tool for hotels and tour operators. With 30 years of software development experience spanning antivirus heuristics, NLP, and travel technology, he brings an unusually technical lens to the distribution and content quality problems facing hospitality. The conversation traces his origin story — walking into a Miami travel agency and watching 20 agents tab between ten supplier portals to compare room rates — and the realization that the API-driven travel stack is structurally caching, normalising and re-marking up the same inventory across overlapping B2B partnerships. Highlights include why identical hotel rooms listed under different names and codes across suppliers still require manual comparison in most agencies; how pushing inventory through intermediary SaaS systems strips a hotel's personality, content and offers in the name of normalisation; why circular B2B distribution loops mean a hotel's own inventory can be sold back to it with markups attached; how LLMs evaluate a hotel first as a website and then admit it into training memory only once it proves itself as a trusted source; why corpus-based retrieval architectures let a single property serve dynamically different content to a Gen Z solo traveller, a British couple or a corporate booker; and why "vibe booking" — experience-focused content that converts both human visitors and LLM crawlers — is now a distribution strategy rather than a marketing nicety. Olivier also unpacks the industry's check-recheck-check confirmation loop and argues AI pressure will finally force the cost of that structural inefficiency into the open.