Hotel OS: AI-Powered Management for Next-Generation Hospitality - @ Google AiStudio

Project Overview

Hotel OS is a modern, responsive Hotel Management System (HMS) dashboard built on a foundation of React and Tailwind CSS. This system is designed to move beyond basic reservation tracking by integrating AI-driven insights for critical operational areas: occupancy forecasting, dynamic pricing, and deep personalization of the guest experience. It serves as the core operational platform for hotel managers seeking peak efficiency and revenue optimization.

My Role: UX/UI Designer, Front-End Architect, Data Visualization Specialist

1. The Problem: Static Pricing and Reactive Management

Traditional Hotel Management Systems are often legacy, fragmented, and fundamentally reactive. This leads to several key challenges for modern hoteliers:

• Suboptimal Revenue: Pricing is often static or based on simple historical averages, failing to capture revenue potential during peak demand or adjust quickly to last-minute market fluctuations.

• Inefficient Operations: Managers struggle to accurately forecast staffing needs and housekeeping schedules due to poor visibility into future occupancy patterns.

• Impersonal Guest Experience: Lack of centralized, actionable guest data results in generic service, missing opportunities for upsells and loyalty building.

The mandate was to transform the HMS from a record-keeping tool into an intelligent command center.

2. The Solution: Predictive Intelligence and Unified Control

Hotel OS delivers a single, unified dashboard that leverages AI to provide the predictive power needed for proactive decision-making.

• AI-Driven Dynamic Pricing Module: Integrates real-time data feeds (local events, competitor rates, weather) with machine learning models to recommend optimal pricing that maximizes Revenue Per Available Room (RevPAR). The pricing module presents the recommended rate alongside the current rate for easy managerial override.

• Occupancy Forecasting with Confidence Intervals: Provides a clear, color-coded 7-day or 30-day forecast. Crucially, it displays a confidence interval, allowing managers to schedule staff and inventory with greater certainty.

• 360-Degree Guest Profile: Consolidates all guest data (past stay preferences, communication history, known loyalty status) onto a single, intuitive screen, enabling front desk staff to deliver truly personalized services and targeted offers instantly.

• Responsive, Mobile-First Design: Built with React and Tailwind CSS, ensuring managers can access and act on critical alerts and insights from any device, whether they are at the front desk or off-site.

3. My Design Process: Trust, Transparency, and Actionability

The design process was anchored by the principle that AI recommendations must be easily understood and trusted by the end-user (the hotel manager).

• UX Research Methods:

  • Stakeholder Interviews: Engaged with General Managers and Revenue Managers to identify their highest-value metrics (e.g., ADR, Occupancy, RevPAR) which became the primary KPI cards on the dashboard.

  • Data Transparency Design: Focused on visualizing why the AI made a recommendation. For the Dynamic Pricing module, a simple "Impact Factors" sidebar was included to display the top three variables (e.g., "Local Concert Event," "Low Competitor Inventory") influencing the recommended price.

• Information Architecture: Developed a clean, hierarchical layout: Executive Overview (KPIs and Alerts) Operational Modules (Forecast, Reservations) → Deep Dive Analytics (Pricing/Guest Profiles). The consistent use of data-heavy charts (Recharts) and clean tables (Tailwind) ensures rapid scanning.

• Visual Design: Implemented a professional, low-glare dark mode aesthetic, reducing eye strain for users who monitor the system throughout long shifts.

4. The Final Product: Driving Revenue through Intelligence

Hotel OS successfully marries complex AI logic with a highly intuitive user interface. It replaces fragmented legacy systems with a forward-looking platform that empowers hoteliers to make data-driven decisions on pricing, staffing, and guest engagement. This project showcases expertise in building scalable, real-time analytics dashboards that deliver tangible business outcomes in the competitive hospitality industry.