Hotelytics - InterContinental Cairo Analytics Dashboard 🏨✨

Welcome to Hotelytics, your one-stop dashboard for exploring booking trends, customer behavior, and key business insights at InterContinental Cairo Semiramis Hotel. Dive into detailed analytics and uncover patterns that shape business strategies and customer preferences!

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🌟 Features

• Two interactive tabs:
  • Booking Trends and Customer Behavior 📈
  • Customer Demographics and Preferences 👥
• Insightful visualizations to:
  • Identify cancellation trends.
  • Analyze guest types, market segments, and seasonal behaviors.
  • Explore room assignment dynamics and parking preferences.
  • Examine customer stay durations for City vs. Resort Hotels.

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🔍 Problem Statement

In the competitive hospitality industry, understanding guest behavior and booking patterns is critical to maximizing revenue and enhancing customer satisfaction. Our dashboard addresses the following key questions:

1. What seasons and guest types have higher cancellation rates? 🗓️
2. How do booking and cancellation behaviors differ across market segments? 🛍️
3. What factors influence the duration of guest stays? 🏖️
4. How do family guests with children or babies impact cancellations? 👶

Our goal? Empower hotel managers with data-driven decisions to elevate guest experiences and streamline operations.

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📊 Dashboard Overview

1️⃣ Booking Trends and Customer Behavior Tab

This tab focuses on:

• Cancellation counts by season 🌞🍁.
• Guest type cancellation rates (First-Time vs. Repeated Guests) 👤👥.
• Cancellation patterns across market segments (e.g., Online vs. Offline channels) 🛒.

2️⃣ Customer Demographics and Preferences Tab

This tab explores:

• Average stay durations for City vs. Resort Hotels 🏙️⛱️.
• Room assignment trends (Heatmap of Assigned vs. Reserved Rooms) 🔥.
• Cancellation rates influenced by children/babies 👨‍👩‍👧.
• Parking space requirements by customer type 🚗.

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🚀 Getting Started

1. Clone the Repository

git clone https://github.com/DEVOLOPER-1/Hotelytics
cd hotelytics

2. Install Dependencies

Make sure you have Python 3.x and required libraries installed:

pip install reqs.txt

3. Run the Dashboard

python app.py

Visit the dashboard at http://127.0.0.1:8050/ in your browser.

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🛠️ Built With

• Dash: Interactive web applications for data visualization.
• Pandas: Data manipulation and analysis.
• Plotly Graphs: Stunning visualizations for insights.

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📷 Screenshots

View 1: Booking Trends and Customer Behavior

View 2: Customer Demographics and Preferences

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💡 Future Enhancements

• Add predictive analytics for cancellation probability using machine learning 🤖.
• Incorporate dynamic filters for real-time data exploration 🎛️.
• Extend analysis to include revenue metrics 💵.

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📄 License

This project is licensed under the MIT License. See the LICENSE file for details.

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Contact 📲

Have questions or want to connect? Reach out to me on LinkedIn or GitHub!

Connect with me on LinkedIn