FareOS caching system is an AI-powered fare caching system designed for high-traffic flight booking platforms, OTAs, and airline portals.
By intelligently predicting demand and caching high-value routes, Fare OS delivers instant search results, reduces external GDS and airline API calls by up to 60%, and scales effortlessly during peak traffic.
Unlike generic cache implementations, Fare OS is purpose-built for high-volume flight booking environments.
Stop Paying for Every Search
Fare OS continuously analyzes user behavior, market demand, and booking patterns to anticipate searches before they happen.
Intelligent Pre-Loading
When a route reaches a popularity threshold (for example, 10+ searches within 24 hours), Fare OS automatically caches:
This ensures high-demand routes are ready before users click “Search.”
Proven Cost Optimization
By serving results directly from cache instead of calling external providers every time, Fare OS reduces:
➡ Up to 60% API cost reduction, depending on traffic patterns.
Speed Without Stale Data
Flight pricing changes fast—and stale data costs bookings.
Fare OS uses dynamic Time-To-Live (TTL) instead of fixed cache timers.
How TTL Is Calculated:
Price Volatility Monitoring
Automated Cache Warming
High-demand sectors and seasonal routes are proactively refreshed – ensuring zero lag during peak traffic.
FareOS Cache System doesn’t just store data – it learns from it.
Core AI Capabilities:
This self-learning system continuously improves performance, accuracy, and cost efficiency.
Fare OS is built for mission-critical, high-traffic travel platforms.
Think of FareOS Cache System as a logistics manager for travel data.
Instead of:
Waiting for a user to search → calling multiple airlines → paying for each request → returning slow results
FareOS Cache System:
The Outcome:
Flight Booking Software
Your AI-powered hub for intelligent, high speed travel booking, global distribution and inventory control.
The specialized AI tool for series-based travel. Intelligently automates the management of fixed-price fare inventories, eliminating costly manual errors.
Your single connection to global travel content. This AI-powered switch unifies fragmented GDS, LCC, and NDC sources into one simple API.
Fare caching stores frequently searched flight data locally, reducing the need for repeated API calls and improving response speed.
By predicting demand and serving cached results, our system significantly reduces paid API calls—cutting costs by up to 60%.
Yes. FareOS Cache System uses dynamic TTL and price volatility monitoring to ensure cached fares remain fresh and accurate.
Absolutely. FareOS Cache System is designed to integrate seamlessly with GDS, NDC, and LCC sources.
Redis handles storage. FareOS Cache System adds AI-driven intelligence—deciding what to cache, when to refresh, and how to optimize costs.
Invest in the future of travel booking.
Experience AI-driven fare caching with FareOS Cache System—where intelligence meets speed and efficiency.
👉 Contact us to integrate FareOS
👉 Schedule a demo and see the performance difference
AI in Travel Tech, Solved by 15 Years of Expertise.