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Develop a Personalized Travel Recommendation Engine

elinext.com

Hospitality & leisure

Travel

Challenges in Personalized Travel Recommendations

Elinor Travel Solutions currently relies on generic travel recommendations, leading to low customer engagement and missed sales opportunities. Customers struggle to find travel options that truly match their preferences, resulting in a high bounce rate and low conversion rates on their website. They need a system to provide tailored recommendations based on user data and travel trends.

About the Client

Elinor Travel Solutions is a travel agency focused on providing customized travel experiences to individual customers. They aim to enhance customer satisfaction and increase booking conversions.

Project Goals

Increase customer engagement by providing personalized travel recommendations.
Improve website conversion rates by offering relevant travel options.
Enhance customer satisfaction through a more tailored travel planning experience.
Reduce customer churn by fostering loyalty through personalized service.

Functional Requirements

User profile creation and management (including preferences, past trips, and travel style).
AI-powered recommendation engine based on user data and travel trends.
Advanced search filters to refine travel options.
Integration with booking systems for seamless booking.
Recommendation display on website and mobile application.

Preferred Technologies

Cloud-based platform (AWS, Azure, or GCP)

Python (for recommendation engine development)

Machine Learning libraries (TensorFlow, PyTorch)

RESTful APIs for integration

Integrations Required

Existing booking system (e.g., Expedia API)
Customer Relationship Management (CRM) system
Payment gateway

Key Non-Functional Requirements

Scalability to handle increasing user traffic.
High availability and reliability.
Secure data storage and processing.
Fast response times.

Expected Business Impact

The implementation of the personalized travel recommendation engine is expected to result in a 20% increase in website conversion rates, a 15% increase in customer engagement, and a 10% reduction in customer churn within the first year. This will translate to increased revenue and improved customer loyalty.