Three AI systems, one operating philosophy
Built for the daily reality of hotel operations — pricing, guest relationships, and demand acquisition — running continuously in production.
Pricing & Revenue
Machine-learning revenue management for daily rate optimization — forecasting demand, balancing occupancy and ADR, and repricing with discipline rather than instinct.
Guest Relationship & Direct Sales
The CRM and direct-booking engine: consolidating guest signals, personalising outreach, and growing direct revenue so hotels own their guest relationships, not rent them from OTAs.
Autonomous Acquisition
Self-directed customer acquisition: the system identifies, qualifies and engages high-value demand on its own — finding the guests the hotel didn't know it could win.
Beyond software: the Lab's research agenda extends into AI-driven robotics for hotel and tourism operations, in collaboration with Auburn University and Atlanta-region universities.
Three models, measured in the open
Snapshots from the public model-performance dashboard of the Macau pilot — pricing, guest relationships and autonomous acquisition running side by side on the same hotel data.
MOP 1,348 avg rec. price · +2.88% total rev. lift · +6.04% room rev. lift · 72% occupancy
MOP 1,277 avg rec. price · +16.06% total rev. lift · +2.45% room rev. lift · 74% occupancy
MOP 1,488 avg rec. price · +40.72% total rev. lift · +6.13% room rev. lift · 73% occupancy
Data as of June 27, 2026 · 29 recorded runs per model · 0 anomalies · editorial demonstration snapshot, not real-time output. View the full dashboard →
