With Artificial Intelligence, The Travel Industry Can Better Understand its Customers

///With Artificial Intelligence, The Travel Industry Can Better Understand its Customers

If you have heard about artificial intelligence (AI) and are updated on recent developments, you may have heard of these terms: deep learning, algorithms, machine learning, etc. As we progress in the flowering of AI, Deep Learning is implemented in various industries and platforms, and we begin to see tangible applications in our daily lives.

It is a fact that the travel industry has much to improve: business travel can turn into nightmares easily, travelers are even more demanding when choosing their travel option and expect full-time care and support.

Artificial Intelligence is already common to most travelers in the form of computer helpers like Ok Google, Siri and Cortana, and technologies like this can respond to current problems.

The abundance of data that travel organizations have, including traveler profiles, action history, airline preferences, and hotels, make the business of the tourism easily appropriated to the AI. Companies such as Poder.IO, specializing in AI solutions for sectors such as travel, are not only architects but also witnesses of what airlines, hotels, and companies associated with tourism are creating to serve travelers differently before, during and after their travels.

An example is Pana, a specialist on-demand travel company, contacts its customers using messages through applications, SMS or email. It consolidates the regular management of the local dialect, with information on the inclinations of the traveler, and uses the AI to indicate to the operators the decisions that more applications in the middle of the reservation procedure.

The KLM airline allows its travelers to obtain reservations confirmations, registration notices, tickets and flight announcements through a Facebook Messenger bot. They can also contact KLM through Messenger all day, every day.

And the Hilton hotel chain is testing Connie, a robotic assistant, powered by IBM Watson and Wayblazer. It can answer questions from visitors regarding courtesies, management, and nearby attractions. The more visitors you connect with Connie, the more you learn, adjust, and improve your suggestions and responses.

On the other hand, Customer relationship management in the travel industry is always about information and AI also helps in this regard. To build reliable relationships with customers and travelers, tourism managers need to know a lot about their customers; this information covers everything from their age, sexual orientation, gastronomic preferences, and interests.

Most of these data can be used throughout the client’s journey to maintain service at phenomenal levels, and be present to throw carrots at the right time to maintain their loyalty. Artificial intelligence can make this happen with just a few clicks.

The AI brings to the light valuable knowledge that travel managers had never conceived possible. This, in principle, should lead to greater customer benefit, better quality advertising and increased loyalty to brands that use their data in the right way.

That is why obtaining the necessary information and releasing the right messages for the right travelers is the biggest challenge for the tourism industry.

By |2017-06-21T15:04:05+00:00June 21st, 2017|Artifical Intelligence, Technology|2 Comments


  1. Ogeto Omwancha October 11, 2017 at 12:45 pm - Reply

    Very insightful and interesting article of how digital technology disruption is affecting our lives even to the more traditional and conservative tourism sector. Ask any technology expert about the future of artificial intelligence (AI) in travel and they’ll breathlessly tell you we’re on the verge of a revolution. Once upon a time planning a holiday meant that you had to actually leave your home and visit a travel agent. More daring travelers would rely on word of mouth recommendations or their ever trusty travel guidebooks. Technology like high-speed internet disrupted these bygone ways and now artificial intelligence (AI) is shaping up to be just as disruptive. Computers performing tasks that would usually require human intelligence is already game-changing and the adoption of cloud computing is also aiding this rapid growth. But computers with the ability to learn – with little to no supervision – will bring automation to a new level. Used in conjunction with predictive analytics, machine learning, which is one subset of artificial intelligence, actively helps companies anticipate the future. For the travel industry, this means serving travelers faster and better throughout their journey. Artificial intelligence is changing the rules for the travel industry and the ability to predict the behavior of travelers will unlock new revenue opportunities for travel players. Without a doubt, exciting times are ahead within the travel industry and the most innovative startups will take the icing in the cake in the travel industry.

  2. Joan Yancen December 22, 2017 at 5:08 am - Reply

    The tourism industry suposes to be and efficient economic activity that will depend of the general economic situation of the advanced countries, this industry promises to be a high weight for the gross domestic product. Besides, it causes a cultural exchanges that can affect the habits of diverse nature (gastronomic, linguistic, aesthetical, etc..). All the companies dedicated to tourism have a wide range of posibilities for increase the competition and the earnings. This is the tourism industry, and as many others have done, it wants to apply the competitive field to the Artificial Intelligence as it provides a long way of innovation that make easier the work. This is understandable, and it´s interesting how Tourism Industry can have a place in AI, this is a show of how technological developments are growing up everyday facilitating the implementation of all these breakthrough technologies to our daily lives. This article is really good, it makes us to think about a matter that is present in the constant progress which we are involved in.

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