# Predictive Maintenance
A broken HVAC unit on a sold-out Saturday night costs far more than the repair: there is the guest relocation, the comp or discount, the negative review, and the lost future revenue from that review. Predictive maintenance uses AI to fix things before they break.
From Reactive to Predictive
Most hotel maintenance operates reactively — something breaks, a guest complains, the team fixes it. The cost of this approach is significant:
- Emergency repair premiums: After-hours and weekend service calls cost 50-100% more
- Guest impact: Every maintenance failure visible to guests reduces satisfaction scores
- Review damage: A single "the AC didn't work" review can influence dozens of booking decisions
- Room displacement: Out-of-service rooms during high-demand periods represent maximum lost revenue
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What you'll learn:
- Build preventive maintenance schedules informed by AI analysis
- Use work order data to predict equipment failure patterns
- Create room condition scoring systems that prioritize renovation investment