By Matthew Abbott
When you perform a search using Google, you’re not actually searching the internet. You’re searching a cache, most likely the biggest cache in the world – an index of documents that Google has assembled.
Google, over the past 20 years has engineered a solution that is designed to deliver millions of search results, in fractions of a second, and they do this because the user-experience matters – getting results to the user as fast as possible is a feature of Google’s search engine product. And the psychology of page speed perception has shown us how important fast results are to customers. 
In the Travel industry, our challenge is really specific – users are searching to find their perfect holiday. What this means to us as a technology partner is aggregating hundreds of potential bed banks and flight suppliers to find the best deals for customers. But doing this takes time, and requires a deep set of integrations that make this data available.
And this is where cache technology gives us an advantage – it means we can respond to the customer queries quickly and efficiently whilst providing a massive volume of holiday packages to choose from.
The DealFinder provides instant search results for holiday packages (hotels and flights) and augments this rich data with a broad set of search capabilities.
With DealFinder, we can return a lot of search results, with just a few bits of information, and we can start turning the narrative of holiday search from:
“I want to go to Majorca, departing on the 15th August, returning on the 22nd August, flying from Gatwick or Heathrow and my children are 8 and 11 years old” to: “I want a beach holiday in August”
The simplicity of DealFinder’s search capabilities means there is less friction for a potential customer trying to find their holiday. Combine this simple search with filtering on meal bases, price bands, TripAdvisor ratings, star ratings, and destinations (with the ability to drill-down through geography levels) to allow the customer to start really wide, but narrow their results very quickly.
Much like Google, we have made speed a feature of the DealFinder – we can search through hundreds of millions of results, in under 300 milliseconds (this is the response time delivered for 95% of calls) allowing a website that uses the DealFinder cache to be fast and fluid.
Caches, historically, have always been challenging – how can you build and maintain a massive cache of holiday packages that is up-to-date and inexpensive to correct in error? Our DealFinder architecture is designed specifically to be a robust but agile caching solution, with support for on-the-fly pricing, and intra-day incremental updates.
DealFinder represents a new way of thinking about caching and searching for that perfect holiday.
Much like Google, we have made speed a feature of the DealFinder – we can search through hundreds of millions of results, in under 300 milliseconds (this is the response time delivered for 95% of calls) allowing a website that uses the DealFinder cache to be fast and fluid
– Matthew Abbott, Software Architect at intuitive
DealFinder stands on cutting-edge technology, including Microsoft’s .NET Core platform and Amazon’s AWS cloud infrastructure. By leveraging AWS Lambda, DealFinder can scale cache-build operations and presents the cache through a high-performance API. DealFinder cache technology allows pricing on-the-fly and incremental updates, enabling travel companies to deliver an extremely fast cache-first search that stays up-to-date.
Want to know more about DealFinder and how it can turbo-charge the search capabilities on your website? We are hosting a Webinar on Thursday 10 December 2020 at 3pm
: How Page Load Speed Affects Customer Behavior – Business.com – June 30th 2020 – https://www.business.com/articles/website-page-speed-affects-behavior/
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