How Hotels Can Leverage AI to Boost Sales

The Pros & Cons of Hotel Chatbots

chatbots for hotels

Artificial intelligence (AI) is predicted to reshape – or at least refine – the customer experience for the travel sector as these solutions become commonplace in the travel industry’s digital offering. While dynamic pricing responds to factors in the outside world, AI can also adjust quickly to factors inside a hospitality business to maximise revenue. AI can help hotels optimise inventory by predicting demand patterns and suggesting the optimal mix of room types and amenities to offer at any given time. This can help hotels maximise occupancy and revenue while minimising waste. Another way AI can help with hotel operations is through resource optimisation.

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In other words, it’s basically the same as a human operator would do, but in a sometimes less flexible way. This is why many hotel chatbots request that potential guests ask only one question at a time, and phrase it as simply as possible. Automation to answer such queries is exactly what has happened in many industries, with increasing use of bot systems to shuffle customers in queues, and pre-sort people’s needs, before often handing them on to a human operator. That works quite well for a bank or energy supplier, but the hospitality business is rooted in people-to-people interactions, so hotels have been slower to adopt such systems. A Statista study from 2022 showed that chatbot usage in the hospitality sector was expected to increase by 53% overall, with the figure rising to 64% for independent hotels. For example, if a customer contacts the hotel about breakfast times, it opens up lines of communication that can become much more valuable for everyone involved.

Some examples of our industry connections

Artificial intelligence (AI) has become more precise and dependable thanks to recent technological advancements, which have increased its significance in the business world. In fact, it has been completely transformed by machine learning and AI-powered hotel software. As customers – whatever the demographic – continue to research and book holidays online, the stack of data held by travel companies opens the door for more AI-based solutions to be adopted and refined.

  • Guests crave contact but it’s a mistake to think that this is always face to face.
  • With AI-powered virtual tours, guests can get a detailed view of a hotel room or suite before booking.
  • Answering such repetitive questions will take up your customer support’s valuable time and resources.
  • Today, another effective approach for a company is to focus on the audience that’s already interested in its products, i.e., website visitors.
  • Or they have to call the company’s support line and move from one agent to another.

Use table management to close or limit the number of tables and seats to abide by new maximum-occupancy and social-distancing requirements. Reservation and Waitlist allow you to maintain appropriate occupancy–and conduct reporting–following new mandates. Pay at table or using a partner ordering solution enables contactless payment.

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Ultimately, you want everyone to have a clear picture of how you plan to implement chatbots in your organisation to improve customer service. The more stakeholders in the loop, the more likely implementation will succeed. TripAdvisor has also effectively integrated OpenAI technology with the launch of its travel itinerary generator. The generator then digs through this treasure trove of data to offer tailored suggestions for a variety of activities and experiences based on user preferences. The company employs artificial intelligence to track flight pricing trends, helping travellers pinpoint the most cost-effective times to book their trip. This multifaceted early adoption of AI technology has helped put Expedia at the forefront of personalised and efficient travel planning.

Being able to know and recognise guests likes and dislikes to and create a customised experience through service and communication, will give a wow experience. The very first thing guest do when they arrive is connect their mobiles to the Wi-Fi! The landing page that guests see after connecting to the internet is valuable. It is a great opportunity to use this space to provide something meaningful.

Contact us – but do you really mean it!

It provides the information they need to book confidently and directly with your property while allowing your hotel staff to create direct connections with them. The best and most advanced bots are powered by artificial intelligence, but many bots follow a set of rules programmed via a bot-building platform. It should also be able to execute tasks about those questions and answers. Instant, personalised messaging and answers to FAQs can increase direct reservations, and generate more in-stay revenue. With Bonomi it’s easy to upsell services and promote upgrades because of the instant messaging available. Offering these instant responses will help your hotel boost their direct sales because it reduces the risk of potential customers turning to online travel agencies or other 3rd parties in search of answers.

Every single year, the interaction between customers and chatbots keeps increasing. For example,  it is predicted that chatbots will handle up to 85% of all customer interaction requests by 2020, which would significantly cut costs and free up employees’ chatbots for hotels time for more demanding tasks. And like Plum, any business or company looking to explain, onboard, and give a product tour can use this chatbot use case to guide their customers through their product/service right within their website or mobile app.

Why a chatbot dramatically improves customer support

OmniMind uses reliable sources to provide accurate information about destinations, attractions, and services. Facial recognition is still in the test or early adoption phase and whilst some are capturing it now during the check-in process, it is a question of how it is used during the stay. This makes it important for hotels make living, relaxation and work space areas available, unless they are surrounded by these facilities. More co-living, great work spaces, incredible Wi-Fi and the same fantastic pool, spa, beach and room for downtime. We have given each trend a score out of 10 (10 being the highest) to label how significant we think the trend is for hotels.

chatbots for hotels

Companies often have a clear policy in place for processing such requests. This means, for customer support agents, performing most refunds and exchanges is a repetitive and monotonous task. A transactional chatbot is pre-designed to provide a customer with a fixed set of choices. A customer can select an option that is relevant to what they want to do or what problem they want to solve.

Automate Customer Service and Sales

Get to know your customers through the feedback they leave on major hotel review sites such as Yelp and TripAdvisor. But instead of always going through the process manually, use an intelligent tool to do it for you. Machine learning (a subset of AI) makes it easy to automatically collect, store, and analyse data from across a variety of online sources. We are on a mission to make it easier and faster for consumers to connect with businesses. Online conversations connect people, and now customers expect businesses to join in.

Customers will also be aided by big and small hotels to achieve purposeful goals as they travel. In order to fulfil the demands of customers for personalized services both during and before their stay, CDM is required to advance the practices of guest information and profile management. The more you know your customers, the quicker you can provide personalized offers and enjoyable experiences for them. Data analysis is also essential for maintaining consumer interest in and engagement with hotel services. The hospitality industry is all about providing the best guest experience possible. And with the rise of AI, hotels and other hospitality businesses have a new tool to help them achieve that goal.

What are the 2 main types of chatbots?

As a general rule, you can distinguish between two types of chatbots: rule-based chatbots and AI bots.

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