We built a pricing platform that tracks market demand, local events, travel patterns and booking activity, then helps the revenue team update room rates across booking channels faster.
Client: Horizon HospitalityIndustry: HospitalityService: AI & Automation
Overview
Client
Horizon Hospitality
Multi-property resort group pricing rooms across channels
Engagement snapshot
The challenge
Room rates were mostly set from historical patterns and daily pricing cycles, so it was hard to react when demand changed suddenly.
A local event, travel disruption or a competitor selling out could create a short burst of demand that the existing process spotted too late.
Rates could stay too low while local demand rose quickly.
Prices were just as slow to come down when occupancy dropped unexpectedly.
When updates reached booking channels at different times, guests could see different prices for the same room.
The solution
The platform brings booking activity, local events, travel data and competitor pricing into one view.
The pricing engine weighs current demand against the group's approved revenue rules to find a better rate for each room.
Approved rates are synced to the property and booking systems, so guests see the current price wherever they book.
Key features
AI weighs bookings, local events and competitor rates against revenue rules to price each room.
Business impact
22% higher RevPAR
It explains which signals drove each price change and syncs approved rates to every booking channel in under a second.
Business impact
Sub-1s price sync
The system links local events and travel activity to changes in booking demand.
Business impact
Better-timed pricing
Revenue teams can see which demand signals led to an important rate change.
Business impact
More transparent pricing
Rates are synced across connected channels, so prices stay consistent.
Business impact
Fewer channel mismatches
Before and after
Before
Yesterday's numbers
Pricing mostly followed historical occupancy and daily reports.
After
Live demand signals
Current booking, market and event activity shapes each pricing decision.
Before
Fixed seasonal rules
Broad high, medium and low seasons could miss short-term changes in local demand.
After
Dynamic pricing
Rates adjust to specific shifts in demand and to each room category.
Before
Manual approval
While changes waited for approval, a new rate could take hours to reach every channel.
After
Automated within limits
Routine price changes go through quickly, as long as they stay within approved revenue limits.
Results
22% Higher RevPAR
Faster, demand-based pricing captured opportunities that daily pricing cycles were missing.
Before: BaselineAfter: 22% Higher
15% Higher ADR
Better timing raised the average rate earned per booked room without reducing occupancy.
Before: UnoptimizedAfter: 15% Higher
Sub-1s Global Sync
Once a change is approved, it reaches every connected booking channel in under a second, down from under 5 seconds before.
Before: < 5sAfter: Sub-1s
Testimonial
“RevPAR is up 22% and ADR up 15% across our properties. Each price change also comes with the signals behind it, and approved rates reach every channel in under a second.”
David ArisDirector of Revenue Management, Horizon HospitalityKey results
Trust and control
Each important rate change keeps a record of the demand signals and rules behind it.
TRACEABLERevenue analysis can use anonymised booking patterns instead of exposing guest details it doesn't need.
PRIVACY FOCUSEDAutomated rate changes stay within approved revenue limits and business rules.
CONTROLLEDThe client owns the custom pricing workflows and integrations built for the project.
100% OWNEDFaster delivery
Starting from tested parts let the team spend its time on the resort group's own pricing rules and channel connections, and launch sooner.
Our revenue intelligence components gave the pricing engine its starting point for weighing demand against revenue rules.
Existing connectors brought in booking, event, travel and competitor pricing data without building each feed from scratch.
Monitoring feeds the revenue dashboards and shows which signals drove each important rate change.
Tested pricing controls keep automated changes inside the group's approved revenue limits.
The platform combines live booking activity, local events, travel data and competitor pricing, then weighs that demand against the resort group's approved revenue rules. It recommends or applies a better rate for each room category, and routine changes go through automatically as long as they stay within set revenue limits.
RevPAR, or revenue per available room, rose 22% and average daily rate rose 15%. Pricing now reacts to demand as it changes instead of waiting for the next daily cycle, so the group captures short bursts of demand from events or competitor sell-outs that it used to miss.
Approved rates are synced to the property and booking systems in under a second, down from under 5 seconds. Guests see the current price wherever they book, so channel mismatches are less common. Every important change also keeps a record of the demand signals and rules behind it for revenue teams to review.
If your rates still follow daily reports and broad seasons, we can connect live booking, event and market data to your pricing rules and sync the results to every channel.