How Airbnb, Booking and Trivago use Artificial Intelligence

Over the past decade, the hospitality industry has embraced emerging technologies with intent to adapt to the constantly changing competitive environment, by partaking in the digital revolution. By 2016, more than half of all hotel bookings globally were made online.

As more and more travellers turn to book their holidays online, bypassing travel agents or manually handling it themselves, more and more data is being generated. With new technological tools available to process such big data becoming mainstream, the hospitality industry is harnessing them.

With the emergence of Big Data and Cloud, hoteliers are able to leverage AI and Machine Learning solutions at affordable prices, and build brand loyalty by offering personalized customer experiences. Today, Machine Learning is able to parse travel patterns from customer purchases, and enables hoteliers to tailor bespoke holiday offerings to customers. While at the hotel, chatbots and virtual assistants help in enhancing the customer experience.

Across the hospitality value chain, a range of stakeholders, from intermediaries to global brands to individual hotel properties are exploring opportunities to tailor service offerings throughout the customer journey lifecycle – from reservations to stay to post-stay.

This article looks at the key opportunity areas which AI is tapping into:


At Airbnb, artificial intelligence is used across various domains within the platfrom from personalized experiences through better search and discovery capabilities, to fraud prevention for guests, as well as enabling hosts with optimal pricing.

For guests, Airbnb uses machine learning capabilities to tailor the most relevant listings, Experiences and services, going beyond just finding a home or experience, but rather tailoring the perfect getaway for them.

For hosts, Airbnb has leveraged machine learning to come with Smart Pricing, helping hosts in predicting the probability that a listing will be booked at a given price at a given calendar date.

Airbnb is also exploring improving reviews using natural language processing (NLP), surfacing reviews of most relevance for the listing itself to provide the best experience for future guests. In addition, Airbnb is harnessing NLP to support advanced search capabilities, including open-text search for “a beach house in Bali for honeymoon”.

In September 2018, Airbnb had 9 job positions advertised for data science, ranging from Data Science Manager, APAC, to Data Scientist – Analytics, from Data Scientist - Analytics, Payments to Data Scientist – Inference.


Handling a million bookings per day in >43 languages across >million properties worldwide, is the global market leader in the travel industry, handling over a million bookings per day. Two thirds of the daily bookings on are made in a language other than English.

As such, relies on machine translation to enable its partners and guests to consume and produce content in their own language, including hotel descriptions, customer reviews and customer service support.