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.