Artificial Intelligence in the hospitality industry is being leveraged to increase customer support-related activities which are vital and on which the sector depends.
Today, AI is developed into different applications we use in our daily life. Artificial Intelligence apps for hotels enable enhanced efficiency staff & a better guest experience before, during, or after the stay. The global smart hospitality industry is expected to reach $44.38 billion by 2026. Automation & Artificial Intelligence are revolutionizing the hospitality market.
Many hospitality business owners use advanced AI technologies to improve their customer experience and efficiency. This intelligence technology innovation & growth helps generate hyper-customized customer service and identify hidden revenue opportunities, resulting in improved guest experience.
Table of Content:
- AI robot concierge
- Chatbots & virtual assistants
- Frictionless booking processes
- Making reviews actionable
- Prediction analysis & dynamic pricing
- Automation and efficiency through AI power
Surprising Facts About Artificial Intelligence In The Hospitality Market
Here are some surprising facts about artificial intelligence in the hospitality industry:
- 94% of hotel owners reported that AI would significantly transform their hospitality & travel companies within five years.
- The AI hospitality market is predicted to reach $1.2bn by 2026 growing at an estimated CAGR of more than 9.7% during the forecast period 2021 to 2026.
- 49% of survey respondents say that the hospitality industry ranks for artificial intelligence implementation.
- In 2020, Starbucks generated $19.16 billion in revenue. So, you need to know how to implement AI in mobile apps like Starbucks.
How Artificial Intelligence In The Hospitality Sector Is Empowering The Guest Experience?
Here are different ideas of how the hospitality industry leverages AI & ML app development solutions to deliver a great user experience:
#1 – AI Robot Concierge
An increasing number of hospitality industries have realized that customer experience with appropriate client data is an idea for improving brand value. We have even started to see smart robot concierges driven by artificial intelligence to serve customers in hotels.
An example of Hilton’s concierge robot.
This app is revolutionizing the guest experience. Powered by IBM’s Watson AI platform, Connie is as attractive as a robot can get. They can answer guest questions, check their in or out and interact with them due to speech recognition capabilities. It can learn and adapt with each communication, improving their responses and getting smarter.
In addition, they can be easily connected to other systems such as voice-based services and bots, delivering more automation to your business process.
#2 – Chatbots & Virtual Assistants
AI-based chatbots development solutions have shown impressive results in the hospitality industry. Digital assistants are a great example of these technologies. They have proved to be exceptionally attractive for online chats and direct messaging. These systems provide quick answers to customer requests 24/7 hours.
Hotels & travel companies are increasingly adopting messaging and integrated conversational platforms to reach their potential customers. Natural Language Processing along with Deep Learning helps to provide relevant information and solutions to the guests via chatbots and virtual assistants.
Besides improving user interaction, AI-enabled bots can tackle several tasks such as solving customer problems, ordering meals, giving suggestions and managing reservations.
#3 – Hassle-free Booking Processes
Websites booking are one of the main points for the hospitality industry. When you want to make a direct booking from the hotel website, separating preferred dates and check-in details can be time-consuming and complicated. The chances to talk with hotel staff are limited. And no one wants to wait for a response in an era of text messaging. That’s where artificial intelligence in the hospitality sector comes in!
AI-based functionality integrated into your website can minimize your hassles, maximize the sales potentials and provide a booking experience customized to your customer’s choices. The introduction of virtual travel assistants for search & booking allows hotel owners to enhance their reach without any effort.
#4 – Making Reviews Actionable
Many people share their opinions & feedback about hotel services on social media and review platforms such as TripAdvisor, Booking.com & Expedia. No need to mention that people’s opinions about your services matter. However, instead of looking for customer feedback on several sites manually, use a digital tool for it.
Machine learning development solutions help you analyze the huge amount of data across different online sources and provide you with valuable information on customer emotions. The ML algorithms and tools let you get an analysis of all reviews in real-time, measuring the positive & negative expressions. It will help you adjust hotel offers and services to suit the needs of your customers.
#5 – Prediction Analysis & Dynamic Pricing
The software solution fueled by artificial intelligence & machine learning technologies will allow you to track the increasing demand related to seasonal changes & different market conditions.
Predictive analytics technologies took into account different factors to display rates that maximize earning potential. These factors include data on weather, market rates, user’s booking patterns and other aspects. The intelligent software automatically adjusts the costs to reflect the fluctuations in demand.
With machine learning at your systems’ backend, you have got several options to track local events, predict & react accordingly. There are several brands such as Amazon is using AI for customer experience.
#6 – Automation & Efficiency Via AI Power
Artificial intelligence in the hospitality sector allows small business owners to stay competitive with this sector’s popular brands. Unique hotel software systems with AI technology automate all repetitive tasks such as check-ins & outs, housekeeping deliveries and room assignments.
Combined with chatbots & powerful analytics tools, you can reduce responses times, improve customer services, minimize costs and ultimately increase revenue.
Even many popular brands are utilizing artificial intelligence in their hospitality & travel business to provide customer satisfaction results.
Some Use Cases Of Artificial Intelligence In The Hospitality
Let’s talk about some use cases to know how other successful hospitality brands are using AI & ML technologies to boost their customer satisfaction & business performance.
#1 – Recommendation Engines
According to the report of the global retail marketplace, Travelport shows that around 35% of travelers find it frustrating if services are not provided as per their preferences. On the other hand, 42% of people want to customize their booking with add-ons. Companies use AI-integrated systems to understand customer preferences and customize their solutions.
Booking.com – The leading hotel booking service provider uses machine learning technology to find the best hotels as per the user’s previous experience.
#2 – Revenue Management Systems
One of the most popular use cases of artificial intelligence in the hospitality & travel industry is to forecast who will pay more for services. AI-enabled revenue management apps can process several factors to sell a product to those who need it at the right time.
Self-learning ML tools also allow companies to adjust their costs to get more revenue automatically. They predict fluctuations in hotel pricing & room availability using seasonal factors.
Skyscanner – A recognized online travel agency that uses a revenue management system to identify the best destination places. This system also helps them in analyzing the most profitable routes and dates by combining over 30 factors.
#3 – AI-based Chatbots
For many years, companies have been using AI-powered assistants in messaging apps such as Facebook Messenger, Telegram & Slack. Digital assistants (Google assistants vs alexa) allow people to check room availability, get travel ideas and address their problems 24/7. These benefits allow businesses to build better relationships with their customers, ultimately providing a better user experience.
Kayak – A big travel agency that uses advanced virtual assistants to automate customer support via Twitter, WhatsApp, Google Assistant, and other solutions.
#4 – Hotel In-stay Services
Robot concierge apps for hotels can easily simplify both booking and check-in processes. These technologies are becoming increasingly popular in the hospitality industry. According to the prediction of data giant Oracle, 68% of hotels will be using robots and Artificial Intelligence technologies by the end of 2025.
What’s more, voice-integrated assistants in rooms can help guests personalize the surroundings as per their comforts. It allows staff to focus on other curated services.
Henn Na Hotel – A highly digitalized hotel with robot receptionists, and facial recognition check-in & check-out system.
These use cases can give you a good idea about the role of AI in the business. So if you are planning to build an efficient, scalable & secure AI-based platform for your hotel business, it will be better to get in touch with a reputed mobile app development company such as Appveturez.
Why Choose Appventurez To Build AI-integrated Solutions For Your Hospitality Business?
Artificial intelligence in the hospitality & travel sector can help companies deliver customized solutions, automate repetitive tasks and hence, boost revenue. But, to enjoy the benefits of this technology, you need a secure platform capable of collecting & identifying large volumes of data. Appventurez can be your reliable guide on the road to automation.
Whether you want to improve your project’s success rate with a relevant tech stack or build a software platform from start to finish, we are the right solution for your hospitality business! Our experts can advise you on the advantages of AI-ML integrated chatbots, speech recognition tools and automatization services.
Appventurez has many years of experience working on versatile projects of varying complexity such as custom AI & ML solutions. Our experience delivering software solutions to several hospitality & tourism companies and knowledge of industry-specific challenges means we can easily evaluate your business & digitize your hotels.
With AI-ML integrated tools, our dedicated developers help you customize your services and turn your data into profit.
Frequently Asked Questions:
Q.1- What are the benefits of AI in hospitality?
Artificial intelligence is changing the trend by ensuring that great hospitality is offered to guests. It will result in bringing in guest loyalty, which in turn will result in recommendations & revenues. This technology can streamline the processes, providing valuable insights and optimizing experiences. Here are some benefits of using AI in hospitality:
- Improves brand loyalty
- Upselling and cross-selling
- Enhanced guests profiles as per their previous records and data
- Highly accurate & speed resulting in low error rates than compared to humans
Q.2- What challenges can you face when implementing ML & AI in the hospitality industry?
AI-integrated systems can improve user experience in different ways. But you need to know about some potential challenges you can face during the implementation of machine learning & artificial intelligence in hospitality. These challenges include data dependency, customization issues, third-party app limitations and data security.
Q.3- What are key driving factors for AI in hospitality apps?
With an increase in travelers, businesses need to make them unique from their competitors while keeping guest preferences in mind. AI & ML is the best tool to learn & act as per their past experiences to fulfill customer needs cost-effectively. There are some key driving factors for AI in hospitality. They include customer experience, revenue improvement, operational efficiency and sustainable growth.
Co-Founder & Managing Director of AppVenturez Mobitech. An entrepreneur who is tech-savvy and aims to build the largest software business through technological innovation, keen business strategist and a passionate technocrat. He firmly believes in learning and earning by planning and performing.
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