Meet us at Token2049 Singapore - the world's largest crypto event | Booth CT19 at Level 4 | 18-19 Sept

Register Now

Join us for an exclusive Tech Mixer at Google UK headquarters by Systango and Google Cloud | 26th September

Register Now
Meet us at Token2049 Singapore - the world's largest crypto event | Booth CT19 at Level 4 | 18-19 Sept

Meet us at Token2049 Singapore - the world's largest crypto event | Booth CT19 at Level 4 | 18-19 Sept

Register Now
Join us for an exclusive Tech Mixer at Google UK headquarters by Systango and Google Cloud | 26th September

Join us for an exclusive Tech Mixer at Google UK headquarters by Systango and Google Cloud | 26th September

Register Now
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Objectives.

The primary objective is to deliver a personalised and dynamic travel planning experience.
Other objectives include:

  • Custom Itineraries: Provide travel, night, and day plans based on user-specific preferences.
  • Engaging Interface: Develop a visually appealing and intuitive platform interface.
  • Efficient Admin Tools: Implement effective tools for managing users and questionnaires.
  • Smooth Payment Integration: Facilitate seamless and secure payment processes.
Get a Quote

Our Solutions.

Systango developed a robust desktop application with several key components:

  • User Interface (UI)

    Intuitive, visually appealing, and user-friendly for easy interaction.

  • Database Management System

    Efficient storage and management of travel-related data.

  • Travel Personality Engine

    Analyses user preferences to generate personalised travel plans using AI and machine learning.

  • AI-Powered Itinerary Generator

    Suggests and combines destinations, activities, accommodations, and transportation based on user data.

  • Integration with External APIs

    For accessing user interests and payment processing.

  • Admin Portal

    Comprehensive tools for managing users, questionnaires, and generating reports.

  • Get a Quote

Key Benefits.

  • Streamlined planning processes
  • Increased user engagement with tailored recommendations
  • Enhanced decision-making with data-driven insights
  • Increased user retention by 25% through personalisation efforts

Tech Stack.

Next Cases.

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