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Development of a Custom Hotel Property Management System to Enhance Operational Efficiency and Integration
  1. case
  2. Development of a Custom Hotel Property Management System to Enhance Operational Efficiency and Integration

Development of a Custom Hotel Property Management System to Enhance Operational Efficiency and Integration

acropolium
Hospitality & leisure
Business services
Information technology

Challenges Faced by Growing Hospitality Businesses in Managing Multiple Properties

The client operates a portfolio of apartments and hotels across various locations and relies on legacy manual systems and off-the-shelf booking platforms, which hinder operational efficiency and scalability. Integration complexities between existing CRM and booking channels cause delays, data inconsistency, and increased administrative costs. As their portfolio expands, they need a comprehensive, customized property management solution capable of streamlining operations, automating reservations, updating occupancy status in real-time, and integrating seamlessly with existing sales and marketing systems.

About the Client

A mid-sized hotel chain and property rental business managing multiple properties in urban and touristic locations seeking to optimize operational workflows and revenue streams.

Goals for the New Hospitality Property Management System

  • Improve operational efficiency by automating routine management tasks and reservations processing.
  • Enhance booking rates and occupancy management by implementing an integrated online booking engine synchronized across multiple channels.
  • Reduce administrative costs by automating data entry and reporting processes, targeting a reduction of at least 40%.
  • Increase visibility and revenue by integrating property listings with major booking platforms like Airbnb, Booking.com, and others.
  • Maintain sales pipeline and financial reporting consistency through seamless integration with existing CRM systems.
  • Support scalable property management operations with a flexible, cloud-based platform.

Core Functional Requirements for the Hospitality Management System

  • Property management dashboard for property managers to organize and assign tasks related to properties and rooms.
  • Reservations management system that synchronizes with all booking channels providing real-time inventory updates.
  • Customer-facing online booking engine integrated with reservations system for seamless customer reservations.
  • Integration with major booking platforms like Airbnb and Booking.com to increase property visibility and bookings.
  • Dynamic pricing and revenue management utilizing machine learning for automatic price adjustments, with manual override options.
  • Payment processing integration supporting multiple payment methods via a secure gateway.
  • Built-in analytics and reporting dashboard providing insights on occupancy rates, revenue, and other key metrics.
  • Seamless synchronization with existing CRM systems to track bookings and update sales entities automatically.

Technical Stack Preferences and Architectural Approaches

Node.js
React.js
AWS cloud infrastructure

Essential External System Integrations

  • Booking channels such as Airbnb and Booking.com for property listing synchronization.
  • Payment gateways for processing transactions via Stripe or equivalent.
  • CRM system (e.g., Pipedrive or similar) for maintaining sales pipeline and financial data consistency.

Non-Functional Requirements for System Performance and Security

  • Scalable cloud-based architecture supporting growing property portfolios.
  • Real-time synchronization of booking and occupancy data.
  • High security standards for handling payments and personal data.
  • System availability of at least 99.9% uptime.
  • User-friendly interface accessible from desktop and mobile devices.

Projected Business Benefits from Implementing the New PMS

The new system aims to increase operational efficiency by approximately 37%, reduce administrative costs by 40%, and improve booking rates by 30%. These improvements will lead to higher profitability, streamlined workflows, better data accuracy, and enhanced scalability to support future growth.

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