What technologies does Booking.com use

What technologies does Booking.com use

How travel systems talk to each other | Hotel Booking System | Travel APIs

Service Booking.com is the world leader in online hotel booking. Since its foundation until 2019, more than 3 billion customers have used the services of the company, who are attracted by the speed of booking and a variety of accommodation options. Booking.com’s success is backed by the timely adoption of technology that fulfills unlimited customer requests in seconds.

You can’t win the competition without technology

Booking conducted a large-scale survey of 22,000 service users from 29 countries. More than 73% of Russian travelers are going to choose their destination not by hearsay or advice, but by means of computer algorithms. About half of Russian tourists will search for, pay for and book all services electronically in advance or in real time. These goals require e-commerce, artificial intelligence and a well-tuned search architecture..

Artificial Intelligence at Booking Experiences

Booking Experiences is a section of the mobile app that is responsible for predicting travelers’ wishes and collecting personalized attractions for a specific person. Booking Experiences is powered by AI and machine learning technology. The first cities to test this section back in 2016 were Amsterdam, London, Rome, Dubai, New York and Paris..

The feature is built into the Booking.com mobile app, so you don’t need to visit third-party sites. It is enough for the client to book accommodation in any of the cities, after which he gets access to the QR code. Scanning the code opens access to the various attractions that participate in the program. With the help of this service, the problem with long queues at the checkout disappears, now it is enough to simply scan the QR code at the entrance.

What technologies does Booking.com use

During the development of Booking Experiences, we studied the reviews of millions of users who left their impressions of the places they visited. The AI ‚Äč‚Äčalso analyzes the traveler’s past experience, data from third-party organizations (for example, tourist congestion of attractions) and the current location of the client. Deep data analysis combined with knowledge of the travel industry allowed the developers to create a unique personalized mobile application with artificial intelligence, which will take into account customer preferences and learn continuously. Thanks to him, the traveler will again and again find interesting places even in previously visited cities..

Booking Assistant chatbot

Back in 2017, the service launched the Booking Assistant chatbot, which automatically processes more than 30% of requests. AI technology in this case serves as a support service. The main purpose of the bot is to help customers with booking and respond to popular requests as quickly as possible. For the client, it makes no difference who is looking for a solution to their problem – he expects a correct and quick answer.

Popular queries include issues related to internet availability, check-in and check-out times, payment, transportation, date change, parking, cancellation, or pets. There are about 90 such topics in total..

If a chatbot still cannot find an answer to a question, its interface provides a help function from a support employee. Thanks to this feature, the user does not have to leave the chat and seek help through other channels..

Booking search architecture

The result of the booking programmers’ work on the face – the search according to the specified criteria works quickly and gives all possible options. The search architecture has evolved over the years and is now performing better than most competitors. In the process of modernization, the Perl programming language was replaced by the faster Java, and the architecture of search and data storage also changed. The duration of calculating the availability of housing has been reduced by 50 times, and due to the fact that all the data are close to each other, no extra time is wasted on pulling up pages from the disk.

Leadership in this process was achieved thanks to the introduction of modern data storage systems that are capable of processing a huge amount of information. One hundred billion prices of various hotels and inns take 800 GB, 8 bytes for one price. This amount of data fits into the memory of modern top server configurations. Job the database is organized using the built-in RocksDB, which perfectly withstands heavy loads and holds 1500 records per second.

Earlier, we also looked at the technologies that make Youtube the best video hosting service..