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Personalized Travel Recommendation Web Application with Interactive UX

digiteum.com

Hospitality & leisure

eCommerce

Information technology

Challenges in Holiday Selection Process

Customers face decision fatigue and time constraints when selecting holidays due to overwhelming options and complex decision-making processes, requiring an intuitive digital solution for personalized recommendations.

About the Client

Global leader in tourism seeking digital solutions for customer engagement and holiday personalization

Project Goals for Enhanced Holiday Selection

Create an interactive visual interface for effortless holiday preference selection
Develop a personalization algorithm to generate tailored holiday packages
Optimize backend systems for high-load performance with dynamic content
Integrate seamless booking redirection and social media sharing capabilities
Enhance user engagement through animated UX elements and real-time feedback

Core System Functionalities

One-tap visual selection of travel styles
Personalized holiday package generation (5 variants)
Interactive animations responding to user interactions
Progressive user journey tracking with dynamic content loading
Social media integration for sharing recommendations

Technology Stack Requirements

React.js for interactive UI components

Node.js backend with Express framework

MongoDB for preference data storage

AWS cloud infrastructure for scalability

GraphQL API for data optimization

System Integration Needs

TUI booking system API
Social media sharing APIs (Facebook, Twitter, Instagram)
Google Analytics for user behavior tracking
Payment gateway integration for future expansion

Performance & Scalability Expectations

Support 10,000+ concurrent user sessions
Sub-200ms response time for recommendation generation
99.9% system availability during peak usage
GDPR-compliant user data handling
Cross-device responsive design

Expected Business Impact

Anticipated 40% reduction in decision-making time for customers, 25% increase in booking conversion rates, and significant growth in social media engagement through shareable holiday recommendations, while maintaining enterprise-grade system reliability.