A global hotel group let AI price every room, every night — lifting revenue at peak and occupancy in the shoulders.
The Story
Grand Hotels International operates 85 properties and more than 21,000 rooms across four continents. Revenue managers set prices using legacy systems and a lot of manual overrides, which meant pricing was always a few steps behind the market.
The group wanted pricing that responded to demand in real time across every property, without losing the local judgment of its on-property revenue teams.
The Challenge
Manual, lagging pricing left revenue on the table at peak and rooms empty off-peak.
- Rates were updated too slowly to capture demand spikes.
- Off-peak occupancy suffered from prices that never adjusted down in time.
- Each property priced in a silo with little group-wide consistency.
- Revenue managers drowned in manual overrides across hundreds of room types.
- Competitor and event signals were tracked by hand, if at all.
“It's like giving every property a world-class revenue analyst who never sleeps. Our managers now set strategy and let the engine handle the thousands of nightly decisions.”
Sophie LaurentGlobal VP of Revenue, Grand Hotels InternationalPricing 21,000 rooms a night, property by property
The Solution
We deployed Dynamic Pricing to recommend optimal rates per room type, per night, blending demand signals with each property's own constraints.
- 01Modeled demand per property, room type, and season.
- 02Incorporated competitor rates, local events, and booking pace in real time.
- 03Generated nightly price recommendations with clear reasoning.
- 04Gave on-property revenue managers guardrails and one-click overrides.
- 05Connected to the central reservation and channel-management systems.
By the numbers
- 23%
- Higher RevPARRevenue per available room, group-wide.
- 11%
- Better off-peak occupancySmarter discounting filled shoulder nights.
- 85
- Properties liveAcross four continents on one pricing engine.
- 70%
- Fewer manual overridesRevenue managers steer strategy, not spreadsheets.
“The guardrails were the key. The system is aggressive where it should be, but our local teams always have the final say. That balance is why it stuck.”
Rajiv MalhotraRegional Director, APAC
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