Hospitality // Client Project

Hotel Revenue:
22% Higher RevPAR.

We built a revenue optimization platform that watches market demand, local events, travel patterns, and booking activity, then helps update room pricing faster across booking channels.

Key Results RESULTS
22%
RevPAR Growth
Better Revenue
15%
ADR Growth
Higher Average Rate
Sub-1s
Price Sync Speed
Faster Channel Updates

Trusted by teams building ambitious products

What We Set Out to Improve.

Business
Hospitality Revenue Management

A resort group managing room pricing across many properties and booking channels.

Partnership
Dedicated AI & Data Team

Coretus supported demand-data connections, pricing workflows, channel integrations, monitoring, and revenue dashboards.

Goal
Improve Hotel Pricing with Live Demand Signals

Use live demand signals instead of waiting for the next manual or daily pricing cycle.

What We Built
AI Revenue Optimization Platform

A pricing system that combines booking activity, market signals, events, and approved revenue rules.

What Was Getting in the Way.

Room rates were mainly adjusted from historical patterns and daily pricing cycles, which made it difficult to react when demand changed suddenly.

Local events, travel disruption, or competitor sell-outs could create strong short-term demand that the existing process noticed too late.

Missed Demand Surges
Rates could remain too low when local demand increased quickly.
Slow Low-Demand Response
Prices were also slow to adjust when occupancy softened unexpectedly.
Channel Differences
Room rates could become inconsistent across booking channels when updates happened at different times.
The Solution

What We Built.

01
Watch Market Signals
The platform brings together booking activity, local events, travel data, and competitor pricing signals.
Key details
Sources Market & Events
Updates Live
View Unified
02
Recommend or Apply Pricing Changes
The pricing engine evaluates demand against approved revenue rules to find a better room-rate position.
Key details
Logic Demand Based
Controls Revenue Rules
Speed Fast
03
Keep Channels Consistent
Approved rates are synchronized across property and booking systems so guests see current pricing.
Key details
Channels Connected
Sync Live
Integrity Consistent
Before and After

How the Workflow Improved.

Area
Before
After
Demand Data

Yesterday's Numbers

Pricing mainly reacted to historical occupancy and daily reports.

Live Demand Signals

Current booking, market, and event activity informs pricing decisions.

Pricing Logic

Fixed Seasonal Rules

Broad high/medium/low seasons could miss short-term local demand changes.

Dynamic Pricing

Rates can adjust around specific demand changes and room categories.

Execution

Manual Approval

Rate changes could take hours to reach all channels.

Automated Within Guardrails

Routine pricing changes can move quickly within approved revenue limits.

Key Features

What Made the Solution Useful.

DEMAND SIGNALS

Event & Market Awareness

The system can connect local events and travel activity with changes in booking demand.

Business impact
Better Demand Timing
PRICE REASONING

Clear Pricing Reasons

Revenue teams can see which demand signals influenced an important rate change.

Business impact
More Transparent Pricing
CHANNEL SYNC

Fast Rate Updates

Rates are synchronized across connected channels so pricing stays more consistent.

Business impact
Fewer Channel Mismatches
Faster Delivery

How We Reduced Build Time.

Tested foundations helped the team spend less time on setup and more time on the parts that made this product useful.

What accelerated the work

4 reusable building blocks
01

Revenue Intelligence

A tested starting point for revenue intelligence reduced repeated setup work.

02

Market Data Connections

Reusable work for market data connections let the team focus more time on the client’s specific needs.

03

Revenue Monitoring

This made it easier to add revenue monitoring without rebuilding common foundations.

04

Pricing Controls

A tested starting point for pricing controls reduced repeated setup work.

Results

The Business Difference.

A straightforward before-and-after view of what changed for the team and their customers.

RESULT: REVENUE01

RevPAR

Faster demand-based pricing captured opportunities that daily pricing cycles were missing.

Older PMSBaseline
Coretus Platform22% Higher
Outcome22% Higher RevPAR
RESULT: RATE02

Average Daily Rate

Better timing helped the business increase effective room rates without reducing occupancy.

BeforeUnoptimized
After15% Higher
Outcome15% Higher ADR
RESULT: SPEED03

Rate Synchronization

Approved rate changes were distributed across connected booking channels quickly.

Target< 5s
CoretusSub-1s
OutcomeSub-1s Global Sync
Results22% Higher RevPAR • 15% Higher ADR
Trust and Control

How We Kept It Safe and Reliable.

01
Pricing Reasons
Important rate changes keep the demand signals and rules that influenced the decision available for review.
TRACEABLE
02
Guest Privacy
Revenue analysis can use anonymized booking patterns rather than exposing unnecessary guest information.
PRIVACY FOCUSED
03
Pricing Guardrails
Automated rate changes stay within approved revenue limits and business rules.
CONTROLLED
04
Code and IP Ownership
The client retains ownership of the custom pricing workflows and integrations created for the project.
100% OWNED
Client Testimonial

In their own words.

Coretus didn't just give us a tool, they built an automated revenue platform . We can now react to local demand surges in seconds, and our RevPAR lift has been immediate and sustained across all 500 properties.

Turn Demand Signals into Better Room Revenue.

Have a similar challenge? We can help you plan and build a practical Hospitality solution around your goals, budget, and existing systems.

Dynamic Pricing

Market & Event Signals

Channel Rate Sync