AI Revenue Management System

Challenge

Pricing decisions were made manually based on gut feel and basic seasonal patterns. The group was consistently leaving revenue on the table during high-demand periods and failing to fill rooms during shoulder seasons despite having capacity.

Solution

We developed an AI-powered revenue management system that analyzes demand signals including local events, competitor pricing, weather forecasts, and booking velocity. The system recommends optimal pricing across all room types and distribution channels with 15-minute update cycles.

Results

Technology Stack