What technologies does Booking.com use?

Booking service.com is a world leader in online hotel reservations. Since its foundation until 2019, more than 3 billion customers have benefited from the services of the company, which are attracted by the speed of booking and many accommodation options. The success of Booking.com is the timely introduction of technologies that fulfill an unlimited number of customer requests in seconds.

Without technology, no competition

Booking conducted a large-scale survey among 22,000 service users from 29 countries. More than 73% of Russian travelers are goingit’s not rumored to choose a destination oradvice, and using computer algorithms. About half of Russian tourists will search, pay and book all services electronically in advance or in real time. To achieve these goals, e-commerce, artificial intelligence and a well-established search architecture are needed.

Artificial Intelligence at Booking Experiences

Booking Experiences is a mobile sectionan application that is responsible for predicting the wishes of travelers and collecting personalized offers of attractions for a particular person. Booking Experiences is powered by AI and machine learning technology. In 2016, Amsterdam, London, Rome, Dubai, New York and Paris were selected as the first cities to test this section.

The function is built into the Booking mobile application.com, so visiting third-party sites is not required. It is enough for the client to reserve accommodation in any of the cities, after which he gets access to the QR code. By scanning the code, you can access the various attractions that participate in the program. With the help of this service, the problem with long lines at the cash register disappears; now it’s enough to simply scan a QR code at the entrance.

Researched by Booking Experiencesreviews of millions of users who left their impressions of the places visited. The AI ​​also analyzes the traveler’s past experience, data from third-party organizations (for example, tourist attractions) and the current location of the client. Deep data analysis combined with knowledge of the tourism industry allowed developers to create a unique personalized mobile application with artificial intelligence, which will take into account the preferences of the client and learn continuously. Thanks to him, the traveler will again and again find interesting places, even in previously visited cities.

Chat Bot Booking Assistant

Back in 2017, the service launched the chat bot BookingAssistant, 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 reservations and respond to popular queries as quickly as possible. It makes no difference to the client who is looking for a solution to their problem - he is waiting for the correct and quick answer.

Popular searches include issues,related to the availability of Internet, check-in and check-out time, payment, transport, change of date, availability of parking, cancellation of reservation or accommodation with pets. In total there are about 90 such topics.

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

Booking Search Architecture

Result of the work of booking programmers in person -Search according to specified criteria is fast and gives all possible options. Search architecture has modernized over the years and now works better than most competitors. In the process of modernization, the Perl programming language was replaced with faster Java, and the architecture of searching and storing data has also changed. The duration of calculating the affordability of housing has been reduced by 50 times, and due to the fact that all the data is close to each other, extra time is not wasted pulling up pages from the disk.

It was possible to achieve leadership in this processthanks to the introduction of a modern data storage system that is capable of processing a huge amount of information. One hundred billion prices of different hotels and inns occupy 800 GB, 8 bytes per price. This amount of data fits into the memory of modern top-end server configurations. Work with databases is organized using the built-in RocksDB, which perfectly withstands heavy loads and holds 1500 records per second.

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