Global Spa KPI Revenue Management Platform for Multi-Property Hospitality Operations
A centralized performance platform that replaced spreadsheet chaos with live KPI dashboards giving corporate, regional, and property-level...
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Global Spa KPI Revenue Management Platform for Multi-Property Hospitality Operations
A centralized performance platform that replaced spreadsheet chaos with live KPI dashboards giving corporate, regional, and property-level teams a single source of truth for spa operations.
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Team Size
4 engineers, 1 PM, 1 BA -
Industry
Luxury Hospitality -
Duration
6 months
About the client
Fairmont is one of the world’s most recognised luxury hotel brands, operating across multiple continents with flagship properties in cities like London, Paris, Dubai, and Toronto. Their spa operations represent a significant revenue line yet until this project, there was no unified way to track performance across all locations.
Project Overview
Aleait built a unified multi-property analytics platform that centralizes spa performance data across all regions, brands, and hotel locations. The system enables corporate, regional, and property teams to access real-time KPIs, compare performance, and generate structured reports from a single source of truth.
With role-based dashboards and multi-currency intelligence, leadership can now benchmark global spa performance instantly and make faster operational decisions.
Industry
Luxury Hospitality
Services
SaaS Platform Development, Analytics Dashboard, Revenue Intelligence, Reporting Automation
Business Type
Multi-Property Hospitality Operations
Consult Our Experts
Transform fragmented hotel and spa data into real-time operational intelligence with centralized KPI management and performance benchmarking.
What We Built (Key Capabilities)
Unified Global KPI System
Built a single data model aggregating spa performance across all properties, regions, and brands into one unified dashboard system.
Role-Based Dashboards
Separate views for Corporate, Regional, Manager, and Spa teams with filtered KPIs relevant to each decision layer.
Real-Time Revenue Intelligence
Live tracking of revenue, occupancy, utilization, and performance trends with daily, monthly, and YoY comparisons.
Multi-Currency Benchmarking Engine
Dynamic currency conversion layer allowing cross-country performance comparison in real time without manual normalization.
Automated Reporting System
Monthly reports auto-generated with KPI summaries, variance analysis, and performance insights—no manual compilation needed.
Performance Benchmarking Alerts
System flags top and bottom performers across 25+ KPIs with automated alerts for underperforming properties.
Challenges and Technical Solutions
Managing spa performance across multiple countries created fragmented reporting, inconsistent KPIs, and delayed decision-making. Leadership had no real-time visibility into performance gaps or revenue trends, making benchmarking unreliable.
Aleait solved this by building a hierarchical analytics system with real-time data aggregation, standardized KPI definitions, and automated reporting workflows. This transformed disconnected datasets into a unified operational intelligence layer.
1
Global Revenue Visibility Challenges
Challenge :
No single view of global spa revenue
Solution :
We built a hierarchical data model that aggregates property-level data upward to regional and corporate views, with filters that can slice any metric by brand, hotel, region, or country in under two seconds.
2
Multi-Currency Performance Comparison Issues
Challenge :
Multi-currency revenue comparisons were meaningless
Solution :
A real-time currency conversion layer was embedded directly into the analytics engine. Revenue figures are normalised on the fly, with the base currency selectable by the user viewing the report.
3
Manual Reporting & Operational Delays
Challenge :
Monthly reports were manual, inconsistent, and late
Solution :
We automated the monthly reporting workflow. The system now generates structured reports with pre-populated KPI summaries, comparative data, and a remarks field — reducing report preparation time from days to minutes.
4
Lack of Early Performance Benchmarking
Challenge :
No benchmark to identify underperforming spas early
Solution :
A performance benchmarking engine was built to surface top and bottom performers across 25+ indicators. Managers get automatic alerts when a spa’s metrics fall below their regional average.
Outcomes and Achievements
These points show what improved once teams moved away from spreadsheets and started using a single system for all reporting and tracking.
01
Real-time KPI visibility
25+ key performance indicators tracked across all properties in real time, giving teams an always-updated view of spa performance and revenue trends.
02
Significant reduction in reporting effort
Monthly reporting work reduced by ~90%, turning what used to be manual data compilation into a quick review and approval process.
03
Unified global visibility across all roles
4 user roles with tailored dashboards, giving corporate, regional, and property teams a clear and consistent view of performance across all locations worldwide.
How Aleait made it happen
A structured approach from understanding the business to shipping a production-ready platform that teams could actually use day-to-day.
Discovery & Alignment
We spent time with corporate, regional, and property teams to understand how spa performance was actually being tracked and discussed across the group. This helped us map real workflows instead of relying on assumptions.
KPI Design & System Structure
Together with the revenue team, we defined a 25+ KPI framework that reflected how spa operations are measured in real life — from occupancy and utilisation to revenue trends and benchmarking across regions.
Build & Iterative Delivery
The platform was delivered in phases, with working versions shared regularly. Each round of feedback helped refine dashboards, reports, and user flows so the final system matched day-to-day operational needs.
Rollout & Operational Impact
Once live, the platform became part of daily decision-making. Teams could see performance at every level, generate reports instantly, and manage multiple properties without switching between spreadsheets or tools.
The technology behind the platform
We picked tools that fit the problem, so the platform stays fast, stable, and easy to scale as usage grows.
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