Artificial Intelligence

Significance of AI-powered Location-Tracking Apps in the Travel Industry

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The main Applications of Artificial Intelligence in the tourism industry include predicting travel choices, creating personalized services, completing reservations, and managing needs during and after travel.

Artificial intelligence-based chatbots make digital interaction a personalized conversational and voice-based assistant.

With the combination of Artificial Intelligence and facial recognition technology, customers can more easily visit restaurants, duty-free shops or visit entertainment venues through simple facial scanning.

Machine learning (ML) is growing rapidly as a hidden persuader (though not a secret!) to assist sales. The airline uses big data and machine learning to build a recommendation engine to help personalize quotations around products in its inventory and partner catalogs.

Artificial intelligence works with social media tools to interpret social emotions and match them with the traveler’s journey, whether it is before, during, or after the actual trip.

Artificial intelligence has a firm foothold in almost all fields, and it will soon develop into the current era. Some notable applications of artificial intelligence in the tourism industry are as follows:-

  • Blockchain technology is making payment transactions smooth
  • Artificial intelligence-based applications like OGenie have evolved into voice robots and are replacing traditional chatbots to book and plan air travel
  • Data processing and sorting are used to draw personalized strategies to make travel booking easy
  • Improve things and make them cost-effective to obtain customer satisfaction
  • Can provide you with real-time location to make travel worry-free

How does artificial intelligence drive the disruption of the global travel and hotel industry?

Companies have been using Artificial Intelligence for some time, but due to advances in areas such as machine learning and natural language processing, there has been a significant increase in the past few years.

No other industry is as ready to take advantage of the rapid advancement of artificial intelligence as the travel and hospitality industries. In these industries, consumer satisfaction is critical to defeating competitors.

Travel companies now have a lot of information about customers, including traveler profiles, behavior history, and personal preferences. The application of machine learning to travel data opens up numerous opportunities to improve the traveler’s experience.

This makes the travel and hospitality industries very suitable to ride the next wave of Artificial Intelligence to build smart applications and elevate the customer experience to a new level of personalization and comfort.

 Since the introduction of the industry, the influence of AI has spread to almost all aspects of the experience in the travel and hotel industries.

Let’s take a look at the main use cases where Artificial Intelligence technology is currently being used to significantly change tourism and hotel products and services.

  • Smart travel robot
  • Price forecast and flexibility
  • Automatic travel management
  • Customer service and loyalty

Artificial intelligence in travel and hospitality: a huge opportunity

The travel  industries have the opportunity to retain and please customers, and to drive growth through new AI services to achieve better customer engagement, personalized experience, and AI-driven customer service.

 The successful application of artificial intelligence in the tourism industry

1. Journey Management System

Want to know the best price for your flight booking? The automatic price generation engine is your answer. However, there are few rules governing such automatic price generation systems.

Using machine learning capabilities, the algorithm detects anomalies during sharp price increases and analyzes the various factors that lead to such price differences. Travel agencies use this algorithm to recommend the best time to buy cheap air tickets or book hotels. The user receives a notification about the recommendation.

2. Chatbot

Using chatbots, the travel industry can provide 24/7 customer assistance and reduce manual workload. Immediate response provides comprehensive support to improve customer satisfaction and relationship management.

The pre-programming of frequently asked questions helps the chatbot to generate automatic reminders, suggest nearby attractions, and transportation facilities available at the vacation destination.

3. Recommendation engine

The traveler opened a newsletter in his/her email. AI-enabled recommendation systems process and adjust the context to generate relevant recommendations to provide an excellent travel experience.

4. Cost optimization

Dynamic valuing controlled by AI serves to precisely distinguish buy designs, empowering airlines to develop constant evaluating procedures and convert more clients. Features include the preferred date, time of purchase, convenience, etc.

The artificial intelligence platform detects the compensation between price and product specifications in order to provide relevant discounts at the right time.

5. Fraud detection

Artificial intelligence applications and tools enable travel companies to accurately and quickly detect abnormal situations to provide secure online transactions and high levels of customer satisfaction.

The future of Artificial Intelligence in the tourism industry is automated and agile. Before you use a successful bot You must have a clear idea of   how bots will benefit your company in the sales funnel.

Focus on one or two key functions before you allow bots to control your entire digital state. The more it is integrated into the ecosystem Better data and insights are at your fingertips.

Kalyani Tangadpally

I’m Kalyani Tangadpally , a fascinating Technical Content writer currently working at “USM Business Systems” is one of the Mobile application development companies in USA, India . Interested to know about technology updates. Mobile App Development, IoT, Artificial Intelligence, Machine Learning, IOS, and Technology-related content Get connected with me on LinkedIn