Frequently asked questions
Below you'll find answers to the questions we get asked the most about integration, products, customer service and more.
General
By analyzing your content sources, SmartFlights API uses machine learning to determine the most efficient route-splitting combinations, delivering more profitable itineraries.
Our APIs support any content integrated into your infrastructure, including GDS, NDC, and LCC providers.
We focus on building intelligent flight technology, not content supply. Our platform works with whatever sources you already use.
Trip Ninja is market-agnostic. It works globally, with any combination of content providers.
Yes. Our team provides full support throughout the integration process. Contact your Trip Ninja account manager or email support@tripninja.io for assistance.
SmartFlights
Trip Ninja's SmartFlights API uses machine learning to help travel platforms unlock better pricing and higher margins by intelligently splitting tickets across your existing content sources.
Yes. Our Machine Learning based Revenue Management is included for free but entirely optional. You can use the API for itinerary optimization only, contact Sales for a search-only plan.
You’ll need a multi-city search and booking flow with Multi-PNR support. Multi-city bookings can generate 2–3x more revenue than round-trips, our team can help evaluate whether it’s a fit.
FareStructure automates route-splitting for multi-city flights, generating itineraries that are cheaper than the GDS 89% of the time. This creates markup opportunities and improves conversions, optimised through our machine-learning markup engine.
Yes. FareStructure automates split ticketing using multiple content sources, creating optimized multi-city itineraries with lower costs than traditional GDS searches. By intelligently combining flight segments across different providers, FareStructure unlocks pricing opportunities that would otherwise be missed.
DataStream
DataStream is an analytics API that collects and processes flight search data to help you optimise content, pricing, and overall performance.
DataStream collects search data such as routes, pricing, and source-level performance. This data powers insights to improve your pricing strategies and content mix ultimately helping you drive revenue.
Yes. DataStream is particularly valuable during the evaluation phase. It allows you to collect search data in advance, and Trip Ninja can run simulations to show how FareStructure would perform using your traffic. This helps you build a clear business case and accelerates ramp-up when you're ready to go live.
Analytics are updated daily, ensuring you have access to near real-time insights.
Integration is simple. It’s a single API call using the data you already collect from your content sources. Minimal development work is required.
No. DataStream is optimised for performance, with response times under 50 milliseconds. It can also be implemented via a queue or asynchronous thread to avoid any delay to your core operations.
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