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Development of an Intelligent End-to-End Reservation System for a Global Leisure Travel Leader
  1. case
  2. Development of an Intelligent End-to-End Reservation System for a Global Leisure Travel Leader

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Development of an Intelligent End-to-End Reservation System for a Global Leisure Travel Leader

gpsolutions.com
Hospitality & leisure
Travel & Hospitality
eCommerce

Challenges in Scaling and Modernizing Reservation Systems

The client faced an unclear project scope, limited internal IT expertise, and rapid business growth requiring scalable technology solutions under tight deadlines. They needed full cost transparency, resource utilization tracking, and end-to-end control over development processes while building a complex reservation platform.

About the Client

A top-tier global supplier of leisure travel services seeking scalable digital transformation solutions

Objectives for the New Reservation System

  • Attract 64% more new bookings through enhanced platform capabilities
  • Achieve 30% higher traffic conversion rates
  • Implement scalable infrastructure to support business growth
  • Provide intuitive tools for travel operators to manage searches, pricing, and bookings
  • Ensure seamless multi-channel distribution integration

Core System Functionalities

  • Advanced product search with filtering capabilities
  • Dynamic pricing engine with real-time estimations
  • Streamlined booking flow with user preference storage
  • Personal account management tools
  • Comprehensive reporting and analytics dashboard

Technology Stack Requirements

ASP.net
MVC
MSSQL 2010
Entity Framework
JavaScript
Agile methodology

System Integration Needs

  • Existing distribution channels
  • Third-party payment gateways
  • Content management systems

Non-Functional Requirements

  • High scalability to handle increasing booking volumes
  • Performance optimization for fast response times
  • Enterprise-grade security for user data protection
  • Transparent cost tracking and resource utilization metrics

Expected Business Impact

Implementation of the intelligent reservation system is projected to drive a 64% increase in new bookings, achieve 30% higher traffic conversion rates, and deliver significant revenue growth. The platform will enable faster service selection, personalized user experiences, and comprehensive back-office management capabilities while maintaining operational efficiency through transparent cost models.

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