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Chatbots in Travel

Chatbots in Travel: How to Build a Bot that Travelers Will Love

Gone are the days when travelers had to visit their local travel agents to book flights or search for a suitable hotel. To cater to the ever-growing market demand and attract a digitally adept customer, travel companies continue to improve their services and seek ways to make travel ever more convenient. Just look at how JetBlue, Marriott, and Ryanair transform travel experience digitally.

According to Expedia, travelers visit 38 sites on average while planning a trip. The plethora of travel search journeys begins with googling and ends with online travel agencies and TripAdvisor. While this problem can be solved more conventionally by unifying user experience within a single platform, it has yielded a great opportunity. To avoid tiresome planning and simplify booking process, we can use chatbots – mobile-user friendly, personal assistants with analytical and predictive capabilities.

A chatbot is a program designed to simulate human conversation using artificial intelligence. After becoming one of the trendiest words of the past year, chatbots are predicted to disrupt the travel industry and set a new standard in the mobile booking arena. As the mobile-booking share is flourishing – it’s expected to become 70 percent of all digital booking by 2019 – users are drawn to chatbots, an available and personalized shopping tool. Besides, a good chatbot can help users reduce long hours of indecisive search.

We’ve already covered the basic principles for designing chatbots, and today we want to focus on the use of the technology in travel tech.

Four Use Cases for Travel Chatbots

Among many potential uses of technological advancements in travel, chatbots occupy their own niche. Being the next tier in the evolution of personal assistants, bots can handle a broad range of tasks, depending on the domain they are used in. Just as in finance or healthcare, there’s only so much you can do with chatbots in travel. Let’s have a look at the categories indicated by Sabre to explore the basic use cases for travel chatbots.

travel chatbots use cases

Icons made by Freepic from Flaticon

Reservations agent

Booking.com, Skyscanner, and many other reservation services already allow travelers to seek flight and hotel recommendations, and book them via Facebook Messenger, Slack, or Skype. These chatbots offer better and more personalized customer experience when compared to websites and apps and are often similar to calling a human operator.

Users are usually prompted to start with typing their starting point, destination, and desired dates, that will then allow a bot to search through hundreds of sites for the best deal. Moreover, travelers can expect additional functionality such as “Route tips” by Skyscanner showing the cheapest or the busiest weekday to travel, or the “Inspire me” option on Cheapflights.

Disruption manager

In the social-media dominated world, vendors find it hard to keep any disruption processes private and avoid negative word of mouth. Customer support via chatbots allows users to privately address their complaints that AI can automatically prioritize and categorize for easier handling. Now, instead of looking for a contact number or addressing their troubles to staff members not responsible for a failure, customers can use a bot to request support. Furthermore, travel businesses can track problems and react to them accordingly helping to diminish some of the stress their employees experience.

Checkmate allows hotels to respond to feedback in time and avoid negative reviews. The platform opens a convenient channel for personalized and automated communication between visitors and staff that allows customers to leave a request via chat that is then transferred to a designated staff member. Thus, employees address failures in the moment, before a negative review goes up on TripAdvisor.

Online Travel Agency

Due to the natural-language-processing (NLP) capability, chatbots can understand or be trained to recognize vague queries such as “romantic beach getaway” or “Europe family vacation” to offer a complicated set of services, from transportation to places to stay and visit. A bot will catch the trigger words and use them in the search without making a customer go through a long survey with limited reply options. After helping find a perfect hotel and the best flight deal, a bot will locate a rental car service, provide a local weather forecast – even taking the customer’s budget and dietary requests into account.

While travel assistant Mezi takes time to reply, the bot plumbs the depths in search of the most personalized options, whether it’s a hotel with a pool or a vegetarian meal on a plane. Kayak will also update you on your flight status and dispense travel advice.

mezi interface

Mezi provides an exhaustive travel assistance

Local insider

With the mounting popularity of Airbnb and hostels, many travelers are looking for ways to experience foreign places like locals do: to live, eat, and relax like a native. A bot for Uber, Marsbot from Foursquare, and Assist allow travelers to experience cities through local reviews and recommendations. Depending on the desired activity, be it brunch or a game of laser tag, these chatbots take their content from nearby locations and provide options as if a traveler was a resident. So, customers don’t have to search for the most recommended places on social media or browse the local discussion boards.

Now, how can both travel service providers and their customers benefit from chatbots?

The Benefits of Building Travel Chatbots

Aside from opening a personal and smart communication channel between you and your customers and adopting one of the most impactful technologies of the near future, there are plenty of reasons to use chatbots for your travel business right now. Here they are.

Saving time/process automation

Many queries that travel service providers handle on a regular basis can be addressed by a chatbot. By delegating the easily automated tasks to a bot, you can leave employees to manage complicated queries where human interaction is necessary. According to Juniper Research, chatbots will help eCommerce companies save $8 million by 2022 by saving $0.70 per every user interaction.

Additionally, a good bot can unclog call centers and automatically handle things like routine booking changes. Pypestream leverages the power of NLP to help companies resolve repetitive queries and transfer complex issues to human agents.

Digital payments

Such messaging platforms as Messenger and Telegram allow users to make payments directly in a chat, without transferring them to a website and repeating the payment information each time. The credit card info that’s already stored in the app’s system can be used to make purchases via a bot. Thus, bots provide a simplified experience and can basically replace traditional websites and apps for the users who rarely utilize them.

hipmunk bot interface

Hipmunk’s Bot accepts payments on Facebook Messenger

Saved user history

Chatbots make it uncomplicated to return to the previously discussed data because the conversation history stays available to customers. A user will always be able to return to the previous suggestions and have all important information saved in a single conversation flow.

24/7 customer support

Today, advancements in artificial intelligence allow bots to identify and solve simple yet urgent problems without human involvement. Customers won’t feel abandoned regardless of the time zone they’re in, and travel companies can save on call center operators.

Skipping app development

Chatbots provide quick and efficient communication that is so characteristic of the mobile experience. The survey by Opera Mediaworks revealed this unsurprising data: Eighty-five percent of travelers book travel activities via mobile. Aside from that, most people already rely on smartphones during trips to navigate, search for restaurants, and make digital payments.

How many apps do you have on your smartphone? Chances are, you, just like most people, only keep the apps directly related to your everyday life. Since most people travel 1-5 times a year, your branded app will probably be in the 26 percent of apps abandoned or deleted after the first use. Facebook Messenger, on the other hand, the world’s number one messaging app, will most likely be actively used for a long time along with the chatbots it carries.

Things to Consider in Building a Travel Chatbot

Not all chatbots, just like not all apps, succeed. Instead of rushing to create a bot just for the sake of it, use our recommendations to ensure that your chatbot will be both enjoyable for your customers and profitable for you.

Step one: Ensure security

When using mCommerce platforms – which is what travel companies often are – users must be sure that their payment details or passport information will stay safe. In the case of third-party platforms such as Facebook Messenger, requests are automatically verified using authenticated tokens that allow an app to send a user’s information to a parent platform.

Regardless of the chosen platform, security is in your hands as well. Aside from a simple user authentication, there are other ways to secure a customer’s info, such as timeouts, Touch ID or retina scans, end-to-end conversation encryption, and self-destruction of sensitive messages. As a travel tech consultant, we always recommend our clients to start with safety measures first.

Step two: Choose one skill

Chatbots are not meant to completely replace your website and therefore don’t have to satisfy each aspect of customer experience. Which is why you need a chatbot with skills sufficient to respond to the challenges your customers will most likely experience.

“At first, your purpose should be connected to your target market. You should start small and focus on giving unique functionality to your bot. Personalize your bot differently from other bots available in market place,” says Pax Bhati, Senior Manager at EY.

Start with one customer segment and analyze what questions or requests you receive from them most often. That will help you define what kind of a chatbot would serve this segment best.

Step three: Support AI with a human

Currently, a common practice for chatbots is to communicate with customers using only AI and in case a bot struggles to find a solution, transfer them to a human operator. But remember that the ultimate goal for designing a chatbot is to delegate the tasks that can be automated, not to make it reply to custom requests. Additionally, make sure that your customers understand they’re talking to a bot. If you lead a customer to believe that a bot is a human assistant, it will end in user confusion and disappointment.

Step four: Prepare full experience

People often turn to chatbots when they don’t have the time or patience to browse unwieldy mobile websites. So, make sure that a user won’t need to google each significant detail that a bot can provide itself. For instance, if you suggest several hotel options, include each hotel’s rating and mention whether there’s a cancellation fee.

Step five: Stay connected

Don’t abandon your users after you’ve helped them. Message them after the flight or hotel check-in, ask them to rate their satisfaction with the chosen service, or offer suggestions about local restaurants and events. Make sure your messages are unobtrusive and caring. Competent chatbots encourage customers to come back and fall into a loyalty loop, converting one-time users to lifelong clients.

Step six: Eliminate the language barrier

To provide a multilingual experience and greatly expand your audience, consider creating a chatbot that people can use regardless of their native language. There are two ways to do it. The easier one would be building a bot that doesn’t include NLP and uses predefined questions and answers. Booking.com, for instance, uses templates with pre-translated questions and replies that allow hotels to chat with customers in 42 languages.

Another method is to design your bot to fit different patterns and train a natural language processing model for the new language. Take note, that even though the second way requires more time and effort, the possibilities of using NLP for understanding and learning from a user’s intentions meets the expectations of users to converse with bots the natural way as if they were talking to a real person.

Step seven: Bring extra value to the table

You need to justify the necessity to create a chatbot instead of a website or an app. Use unique capabilities of chatbots to augment your current services or provide an exclusive look at something customers already use. For example, Waylo‘s Messenger bot allows travelers to track hotel prices in the entire city or the desired area and book hotels at a price predicted to be the lowest at the time of visit.

“It can be a notification platform or the ability to comfortably share someone’s location,” says Balint Pataki, founder of ChatbotTutorial.com. “With the latter, there could be some great additions, such as little tips around a place. Delivering great content in an engaging way to a relevant audience is always working, no matter what channel is used. It can be WiFi passwords to airports, visa tips for certain countries, etc. A great example of something extra with the power of integrations and location sharing: Chris Messina had his bot connected to Uber, and if a user took a ride to a town, they’ve received a notification with Chris’ recommendation for that place.”

Final word

Chatbots and AI adoption are not only changing how customers are connecting to retailers but also transforming the way the world is going to communicate in the immediate future. According to a study by Twilio, nine out of ten users would like to connect to brands via messages. Faced with major digital disruption and the growing need to adjust to the customer’s digital needs, travel companies have to provide excellent customer experience, and chatbots can be a big part of that.

Along with providing instant response throughout a traveler’s journey, bots are becoming even more personal than human operators – almost as one of the trusted friends in your contact list. And even considering that the technology in its current state is still new, its adopters are investing in a future where human/AI conversations are not just efficient but expected.

We’re excited to see it happen. How about you? Tell us what you think about the role of chatbots (and conversational interfaces in general) in the travel industry. And if you want to know how else to apply AI in Travel Tech, check out our story about data science use cases in travel.

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