Trip Ninja
Trip Ninja is an advanced flight search API designed for Online Travel Agencies, utilizing machine learning to optimize fares and enhance customer experience.
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Description
Trip Ninja is a flight search API designed specifically for Online Travel Agencies (OTAs). This innovative platform leverages proprietary technology and advanced machine learning algorithms to enhance the efficiency of flight content management, ultimately aiming to increase revenue for OTAs by improving search outcomes and fare options available to customers.
Key Features:
- Improved Content Efficiency: The API optimizes flight content, allowing OTAs to achieve their business goals more quickly and profitably.
- Machine Learning Technology: By utilizing sophisticated algorithms, Trip Ninja aids OTAs in providing better itineraries with enhanced fare options.
- Integration with GDS and NDC: The API works with Global Distribution Systems (GDS) and New Distribution Capability (NDC) to maximize the potential of rich travel content and ensure cost savings.
- Consolidated Data Sources: It combines various data sources, including GDS accounts and commission structures, to streamline operations for OTAs.
- Internal Caching: A caching system is in place to save time and improve the look-to-book ratio, helping to secure better fares.
- Branded Fares: Automatically presents branded fares to customers, enhancing the booking experience.
Proven Results:
Case studies show significant improvements in performance metrics, such as a 125% increase in revenue per search and a 30% decrease in average fares, highlighting the effectiveness of the API. Webjet OTA's CEO, Dave Galt, praised the collaboration with Trip Ninja for providing innovative solutions that reshape fare shopping globally.
Target Audience:
Trip Ninja is aimed primarily at OTAs looking to enhance their flight booking capabilities and improve overall customer satisfaction through better fare offerings.
Features
Improved Content Efficiency
Optimizes flight content for faster and more profitable business goal achievement.
Machine Learning Technology
Utilizes advanced algorithms to provide improved itineraries and fare options.
Integration with GDS and NDC
Maximizes travel content potential and ensures cost savings.
Consolidated Data Sources
Streamlines operations by combining multiple data sources.
Internal Caching
Improves look-to-book ratio and helps secure better fares.
Branded Fares
Automatically presents branded fare options to enhance user experience.
Tags
Documentation & Support
- Documentation
- Support
- Updates
- Online Support