Episode 78
Nomse Founder on Fixing Hotel Data Before AI Adoption
April 6, 202625m 9s
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Show Notes
Most hotels are trying to deploy AI on top of broken data. In this episode, the founder of Nomse—managing 26 independent hotels—explains why fixing your data layer is the real prerequisite to turning insights into daily decisions.
- Why AI fails in most hotels: Without clean, connected data across PMS, marketing, finance, and operations, AI outputs lack context and produce little value.
- How to turn data into daily decisions: Using pickup, pace, and on-the-books performance to guide pricing, marketing, and operational actions in real time—not just reporting.
- How to track true revenue performance: Linking every booking source—including OTAs, direct, and offline B2B deals—to acquisition cost for a complete, actionable view of profitability.
Topics
hotel data strategyAI in hospitalityhotel tech stackrevenue optimizationhotel BIdata-driven hotel operations