Since it was first made, AI has helped make progress in many fields. AI is also being used to change the way the travel business works, which is always changing. Because of this, travel companies use AI-powered tools and solutions for a lot of different tasks, from planning a trip to landing at the destination.
In this article, you will see some examples of how AI has changed the very profitable travel business. We will also talk about the changes in AI that travel companies need to know about to keep up with the rest of the industry.
AI, which stands for “artificial intelligence,” is a branch of computer science in which machines and computers try to act like humans. In AI, computers are taught to think like people and do things that only people can do. It also takes advantage of the fact that people can solve problems and make decisions.
AI isn’t just one technology; it’s a group of technologies that are changing quickly, such as deep learning, machine learning, and expert systems. AI systems like self-driving cars and robots that explore space learn from what they do. Researchers are still looking into how advanced AI technologies like Generative Adversarial Networks and Edge AI can be used in different fields.
How does AI affect the travel business?
AI is now used in many parts of the travel and tourism business, making it easier for people to travel all over the world. For example, facial recognition systems and airport security scanning devices are both common uses of AI in airports today.
Next, we’ll look at some real-world examples of how AI is used in the travel business.
AI Helpers For Booking Travel Business
Travelers no longer have to go to travel agencies to book flights or look for places to stay. This is because AI has made this possible. AI assistants and chatbots have now replaced travel agents, making it possible for people to book flights, hotels, and car rentals online. These chatbots are used on social media sites like Facebook Messenger, Skype, WhatsApp, and Viber to give users a more personalized booking experience.
Companies like Booking.com, Skyscanner, and Expedia, which handle a lot of travel reservations, use chatbots to help them run. Most of the time, a chatbot will ask you to start a conversation by entering information about your trip. Then, the bot will look through all of the booking sites to find you the best deal. Let’s look at how Skyscanner’s chatbot is used as an example.
Chatbot for Skyscanner
When the Skyscanner chatbot is turned on on Facebook or Whatsapp, users can type in their destination to start a conversation with the bot. If you don’t know where to go, just type “anywhere,” and the bot will suggest places to go and tell you how much each one will cost based on real-time search trends.
When you tell the chatbot when you want to go somewhere, it will show you the cheapest flights to get there. If you choose to book a flight, the bot will send you to the official Skyscanner website to finish the booking. The Skyscanner chatbot also lets you know when the price of a flight changes. In February 2018, Skyscanner announced that more than one million travelers had used the app. Watch the videos below to learn how this robot works.
Face-to-face customer service robots
Robots are slowly taking over customer service jobs in the travel industry, making human agents obsolete. No longer do you have to stand in line to get information or try to find your gate in a crowded airport terminal. Popular airports and hotels have now put robots in place to help you out in these kinds of situations. One example is the robot that helps people get around London Heathrow Airport.
According to a report from Vero Solutions, the process of checking will be done by people instead of robots by 2030. The Henn-na Hotel in Nagasaki is the first hotel in the world where all of the workers are multilingual robots. The robots’ main jobs are to check people in and out. The robot “Connie,” which is used in the hotel Hilton McLean in Virginia, is another innovative use of AI.
Connie, Hilton’s Robot Concierge
Connie uses the IBM Watson AI program and Wayblazer’s domain knowledge to answer questions about hotel features and local attractions and make suggestions. It uses Natural Language Processing to figure out what people are saying when they talk to it.
Connie can also move its arms and legs to show guests where to go and can light up in different colors to show how different people feel. It keeps getting better as it interacts with people and learns from them. It is a fun thing for guests to do, and it is especially important in the Covid-19 era to make sure customer safety.
Applications for predicting flights that are based on AI
Imagine a new technology that helps you find the best flight price at the right time and tells you what flight prices will be in the future. Some companies have made this feature possible by putting out smart price prediction apps that are powered by artificial intelligence. Hopper is an example of this kind of app that travelers use to get that kind of information.
Hopper is made up of algorithms for machine learning. It uses a database of flights to predict the best time to book a flight and the best price for hotels and flights. It also gives users personalized suggestions about the best time to book a flight. When a traveler tracks a flight, the site tells him or her whether to buy the ticket right away or wait for a better price.
Hoppers has a huge database with trillions of past flight prices and real-time price feeds that are used to make suggestions. Since it was made, this app is said to have sold more than $600 million worth of flight tickets. Hotels and airlines use these applications to change their prices based on what customers want.
Use AI data analytics to find useful insights for Travel Business
In the travel industry, a huge amount of data is being made every second. Travel companies can find hidden gems in these data if they know how to read them well and figure out what has worked well for customers. AI is used by travel companies to sort through these huge amounts of data quickly and accurately, which would be hard for humans to do on their own.
For example, think about how the Dorchester Collection hotel uses AI to finish collecting customer data.
Dorchester Collection Hotel: An Analysis of the Data
The Dorchester Collection hotel has used its AI platform Metis to look at customer surveys, reviews, and online polls to figure out how well it is doing overall. Through this analysis, they found out that people don’t stay at their hotels very often. By noticing these customer trends, businesses have the chance to come up with better ways to meet customer needs.
Analysis of how people feel through social media
Social media always hears what you have to say. Airlines and hotels are using this technology and AI to find out how travelers feel about their trips through social media and how that affects their trip. For example, if a customer complains about a flight delay on social media, a listening tool will read it, figure out what the customer wants, and talk to the customer in real time. This sentiment analysis is used by Mindtree’s PaxPulse to give its travel partners a better customer experience.