Travel & Leisure
Billions of rate recommendations a year
A hotel operator
Billions
rate recommendations generated a year
01 / Challenge
The problem.
Pricing relied on legacy rules and spreadsheets. The operator needed a consistent approach that could respond to market conditions across its portfolio.
02 / Approach
How we built it.
We designed an AI-augmented pricing architecture and built the data integration layer underneath it. Market intelligence feeds flowed into one platform, and that architecture shaped the revenue management system the client adopted.
03 / What we built
The system.
01
AI-augmented pricing architecture
02
Data integration layer
03
Market intelligence feed connections
04
Unified platform for real-time market signals
04 / Outcomes
What changed.
Pricing moved from manual spreadsheets to a system that reads real-time market signals
Market, competitive, and demand data processed at a scale that was previously impossible
Measurable RevPAR improvement across the portfolio