Hotel Revenue Management System for BoutiqueStay
Built an AI revenue management system that improved RevPAR by 22% across 45 boutique properties in 8 cities.
The Challenge
BoutiqueStay's 45 properties were setting rates manually using basic spreadsheets, updated weekly. They were consistently underpricing during demand surges and not adjusting quickly enough for local events, leaving significant revenue on the table.
Our Solution
We built an AI revenue management system that pulls data from 12 signals — local events, weather, competitor rates from OTAs, historical patterns, and current bookings — to update room rates every hour across all channels automatically.
Our Approach
ML models were trained on 5 years of booking data per property. Event detection uses a custom scraper for local events calendars. Pricing rules allow properties to set guardrails while AI handles optimization within those bounds.
Our revenue per room has increased 22% since deploying TechVerse's system. The AI catches demand opportunities we were completely missing — local events, competitor price drops — and responds in minutes.
Project Details
Technologies Used
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Let's scope your project. We'll provide a fixed-price estimate and kick off within 48 hours — no obligation.
- US-based project manager from day 1
- Fixed-price — no scope creep surprises
- NDA signed before we discuss your idea
- 48-hour kickoff after contract