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Revenue Intelligence & Occupancy Analytics Dashboard

SkylineStay is a unified Revenue & Occupancy Intelligence Dashboard built to automate reporting for short-stay apartments. It centralizes bookings, payouts, fees, and occupancy insights that previously required heavy manual effort, enabling faster pricing decisions and more accurate performance tracking.

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reduction in manual reporting time

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faster pricing & revenue decisions

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drop in booking inconsistencies

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improvement in multi-property visibility

Quick Project Snapshot

Client Location

Greece

Industry

Hospitality

Business Model

Data Intelligence for Multi-Property Portfolio

Methodology

Agile

Client Overview

The client manages a portfolio of 15–20 short-stay apartments, combining properties they own with units managed for investors. Bookings flow through Airbnb, Booking.com, and Webhotelier, while Hosthub is used as a channel manager. The client needed a fully automated reporting system because manual spreadsheets were slow, error-prone, and prevented accurate revenue tracking.

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Key Features
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Real-time booking data ingestion

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Cleanses & structures 70+ financial and operational fields

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Daily auto-refresh ensures consistent accuracy

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Total revenue, net profit, platform split, guest fees, commissions

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Multi-month view: Today → Next 3 months

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KPI cards + line charts + comparative visuals

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Monthly occupancy %, stay duration metrics, platform distribution

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Insights for seasonal trends and low-occupancy gaps

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Drill-through to individual property performance

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Filter by location, date range, platform, and property

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Tooltip breakdown: fees, earnings, nights stayed

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Side-by-side property comparison

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Custom formulas for Airbnb, Booking.com, and Webhotelier

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Tracks fees, commissions, payouts, taxes, and manager charges

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Monthly net profit (before & after tax)

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Years of Business Experience

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Websites Delivered

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Mobile Apps Delivered

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Repeat Customer

Project Goals

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Build a Single Source of Truth

Provide one dashboard that combines revenue, occupancy, payouts, and fees into a unified view.

Enable Faster Pricing Decisions

Deliver daily refreshed insights so owners can adjust pricing at the right time.

Eliminate Manual Reporting

Remove dependency on spreadsheets and reduce human error.

Support Profitability & Forecasting

Provide accurate revenue and profit metrics for financial planning.

Challenges & Solutions

01
Manual & Error-Prone Reporting
Challenge

The client relied heavily on manual extraction from Hosthub and Webhotelier, resulting in inaccuracies and delays. Multiple data files had to be compared manually, creating risk of outdated occupancy and incorrect revenue insights.

Manual & Error-Prone Reporting
Solution

We built a fully automated Hosthub API integration with daily refresh cycles. A structured data model was created using 76 essential fields, eliminating manual work and ensuring real-time accuracy.

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Choosing a Stable and Scalable Data Ingestion Method
Challenge

Direct API connections caused slow refresh times, API rate-limit issues, and made it difficult to retain historical booking data. As the number of properties grew, the dashboard risked becoming unstable and unable to handle large monthly data loads.

Choosing a Stable and Scalable Data Ingestion Method
Solution

We implemented a dedicated ETL → AWS Database → Power BI pipeline that stores structured Hosthub data in a high-performance cloud database. This approach ensures fast refreshes, complete historical retention, and smooth scalability as property volume and booking frequency increase.

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Complex Profit Calculation Across Platforms
Challenge

Each platform (Airbnb, Booking.com, direct bookings) had its own fee structure, currency behavior, and payout logic. Manually converting these into net profit was time-consuming and error-prone.

Complex Profit Calculation Across Platforms
Solution

We created a dynamic profit engine using DAX formulas based on the client’s exact financial logic, guest paid subtotal, fees, commissions, taxes, and manager charges, with separate profit views for before-tax and after-tax performance.

Tech Stack Used

Microsoft Power BI
Microsoft Power BI
Hosthub API
Hosthub API
DAX for KPIs
DAX for KPIs
Net Profit Logic
Net Profit Logic
Forecasting Metrics
Forecasting Metrics

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