technologyLodging Magazine··1 min·For: Revenue, GM, IT, Owner
Hotels Struggle to Move AI Past Pilot Phase
Despite heavy tech investments, hotel operators struggle to scale AI beyond pilot stages due to trust gaps and fragmented systems. Success requires integrating mathematical models into commercial decision-making rather than relying solely on generative tools.
Key Takeaways
- 1McKinsey data reveals fewer than one-third of companies have successfully scaled AI past testing.
- 2Commercial teams hesitate to automate live pricing and inventory due to disconnected PMS, RMS, and CRS data.
- 3Operators must distinguish between generative language AI and mathematical models built for demand forecasting.
Source: Lodging Magazine
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