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The Challenge
A 340-property hotel chain relied on manual pricing decisions. Revenue managers were overwhelmed, leading to suboptimal pricing and missed revenue opportunities, especially during demand surges.
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The Solution
Built an AI-powered dynamic pricing system that ingests 50+ signals (events, weather, competitor rates, booking velocity) to optimize room rates in real-time. Includes natural language explanations for revenue managers to maintain trust and override capability.
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The Results
- ✓RevPAR increased 18% across portfolio
- ✓Revenue manager productivity up 3x
- ✓Outperformed competitor set by 12 points
- ✓Successful deployment in 47 countries
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Technology Stack
LightGBMProphetPostgreSQLGCPAirflow
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