How artificial intelligence is reforming the travel industry

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How artificial intelligence is reforming the travel industry

Imagine you are planning a trip. Decades ago, researching destinations and accommodations, booking flights, booking hotels, renting a car, and other travel-related activities required a lot of time and effort Today, with the help of machine learning and AI, you can plan and book everything you need using a one stop travel platform. And the best part is that you don't have to leave the house or bed

These conveniences would not have been possible without machine learning and artificial intelligence technologies that have been actively adopted in the travel, tourism and hospitality industries in recent years Here, you will learn about the use of ML and AI in your travels and the changes it brings to your domain business.If you are thinking of implementing AI in your Business, you can know the How Much Do AI Projects Really Cost

Next, let's see How artificial intelligence is reforming the travel industry

AI assistant for travel booking

Thanks to AI, travelers no longer need to visit travel agencies to book flights or find accommodation. AI assistants and intelligent chatbots now act on behalf of travel agencies, allowing travelers to book flights and accommodations and rent vehicles online These chatbots are deployed on social media sites such as Facebook Messenger, Skype, WhatsApp and Viber to provide users with a more personalized booking experience.

Skyscanner chatbot

When the Skyscanner chatbot is activated on Facebook or Whatsapp, users can start a conversation with the bot by entering a destination If you don't know where to go, just type in 'anywhere' and the bot will use real-time search trends to give you suggestions including prices for each destination

Just tell the chatbot your travel date and it will tell you the cheapest flight to your destination. The bot will then choose to book your flight and you will be redirected to the official Skyscanner website to complete your booking. You can also receive flight price alerts via the Skyscanner chatbot

Robots for face-to-face customer service

Robots are increasingly penetrating customer service in the travel industry, avoiding the need for human agents. Gone are the days of waiting in line to get information or find a gate in a busy terminal The reason is that some popular airports and hotels use robots in these situations

Flight Forecast

AI powered forecasting systems like Hopper help find the best flight price at the right time. This technique uses machine learning algorithms The flight database allows the software to predict hotel prices and flights. We provide recommendations based on your preferences. They reference a database of many previous flight prices and live price feeds.

Hotels and airlines use these forecasting apps to revise and manipulate. This is done according to the season and consumer demand rate

Face recognition

The long and complicated identification process is one of the most unpleasant aspects of the travel experience However, facial recognition technology could put an end to this slow, paper-bound process. This is one of the most compelling real-life examples of How artificial intelligence is reforming the travel industry This technology allows travelers to move seamlessly through a seamless airport search experience

Generally, immigration, customs, and document screening are conducted when boarding an aircraft

Adding blockchain to AI technology could make it much easier for customers to visit duty free shops, restaurants and other stores with a quick face scan. The scanner works based on AI and blockchain to ensure records are tracked. Thus, blockchain technology provides the traveler with complete transaction details, making the process more reliable

Examples of AI in Travel industry:

Voice assistant virtual assistant

AI solutions take the concept of the perfect hotel stay experience to a whole new level The new technology, known as voice enabled virtual assistants, has already been deployed in many hotels around the world. These helpers are categorized as speech recognition tools. These software use natural language processing and Deep learning applications neural networks to extract meaning from human speech To do this, the voice is decomposed into separate pieces of audio and the software transforms, analyzes and responds accordingly.

Social media

The travel industry uses social media listening tools. These AI-powered tools decipher consumer sentiment through posts It provides insight into how consumers feel before, during, and after travel

Data analysis

Hotels, airlines, and other travel based industries receive tremendous feedback from customers In addition to feedback, we also receive data from customer reviews, online surveys, and more Therefore, the amount of data generated is too large to be evaluated manually.

Machine learning based data analysis helps you interpret your data in depth Understanding your data provides a variety of insights. AI classifies data and provides comprehensive results. Travel related businesses use the findings to develop practical solutions The solution aims to better meet the needs and requirements of our customers.

Sentiment Analysis :

Sentiment analysis is the process of mining text to detect positive, negative, or neutral sentiment Also known as emotional AI, this technology uses natural language processing and supervised machine learning to detect, extract and study what customers think about your product or service Hotels, airlines and other travel businesses can use customer feedback analytics to personalize and improve their services

For example, the Google Natural Language API allows users to analyze text with off the shelf ML capabilities.

REad more to know about : Types of natural language processing

Benefits of AI in Travel industry:

Dynamic pricing:

Multiple searches for flights or hotels may result in price increases As a result, buyers will not prefer to purchase tickets at a much higher cost than usual This is where AI powered dynamic pricing tools can help. The technology uses predictive analytics to investigate competitor prices faster and provide an appropriate quote Technologies like this can help travel businesses attract more customers.

Brand management

When users want to know more about a company, they go online and read reviews about that company Customer reviews on the internet are always important to building a brand reputation Negative comments may be harmful to your brand.

In the travel industry, Applications of artificial intelligence helps businesses monitor customer ratings and comments on social media platforms This allows businesses to automatically track a brand's position in the marketplace.

In particular, hotels and airlines can use AI in travel to respond to adverse comments and monitor market trends. We can also analyze customer requirements. It helps travel agencies improve their brands, sales and earnings

The future of Ai in travel Industry:

In 2018, the International Air Transport Association (IATA) predicted that air passengers will reach 8 2 billion by 2037 Passenger numbers are rising again, but the global pandemic has undoubtedly changed that forecast This is just one example that proves that it is simply impossible to accurately predict the future. At the same time, you can paint a picture of what to expect if you try to do this

Let’s take a look at the three major AI trends in the travel industry.

More personalized travel plans

In addition to the level of personalization already available in travel planning, it is expected to be further tailored to individual needs Powered by AI and Machine learning development company in USA integrates with wearable health measurement devices, mobile applications can track passenger health and suggest safer in destination activities and less congested routes during flight

Artificial intelligence system for baggage handling

Airports handle thousands of bags every day, so it was only a matter of time before baggage handling was automated. There has already been a successful pilot of an AI powered baggage handling system without baggage labels at Eindhoven Airport The system tracks luggage from check-in to on and off the plane, so passengers know exactly where their luggage is. The trend is anticipated to spread to more airports

Robots and virtual assistants for self-service:

As COVID 19 is retaliating against the travel industry, businesses will pay more attention to smart, contactless mechanisms for self service processes to avoid the need for human interaction. For that reason alone, both robots and virtual assistants are expected to see greater demand in the future

Conclusion:

Finally, the travel and tourism industry as a whole has experienced an explosion of AI applications. In this essay, we looked at some common AI applications and how they work. As mentioned earlier, whether air or water travel, passengers and travel agents have ways to use AI to make navigation more effective and smooth, while increasing consumer happiness So all you need to do is to Hire the best AI app developers from a Best Mobile app development company in USA to implement Artificial intelligence in your Travel Business

Author Bio:

I am Harika I work as a SEO Executive at USM Business systems, The best Mobile app development company IN USA , experienced in the creation of iOS and Android apps. and I love to explore and write the Articles on latest Mobile app development trends, Artificial intelligence and Internet of Things, For more reference you can Also follow me on LinkedIn

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