Types of Artificial Intelligence Chatbots

Types of Artificial Intelligence Chatbots

Shaneen Wilshire
Shaneen Wilshire Aug 20 2020 • 5 min read

Perhaps your business doesn’t have a chatbot at the moment, maybe you don’t know much about the subject, or it hasn’t been possible for you to develop your own chatbot. Even though, you have definitely interacted with one. 

Whether it is via Facebook, e-mail, or on a company’s website, among many other options; chatbots have become one of the most widely used tools in customer service and interactions.

In a few words, a chatbot that works through Artificial Intelligence can be defined as an intelligent tool that uses natural language processing to understand and execute the commands given. 

In case you want to know more about AI-chatbot history, you can see it here.

How to know if my business will benefit from chatbots?

The chatbot market size is estimated to grow at 30% CAGR to reach US $15 billion by 2025, according to Adroit Market Research. 35% of customers say they want to see more companies using them.

So, if you think that you can avoid using AI-chatbots because you are a Startup company, just follow Andrew Ganin’s words from ActiveChat “If it’s 2019 already.” Just use it. 

Or if

  • You receive plenty amount of inbound messages.
  • Want to build a closer relationship with your customers.
  • Looking to give a 24/7 service and constant communication within your market. 
  • Facing a situation where you have to reduce customer support costs but at the same time, you want to increase conversion rates and possible engagement with your customers.

7 types of AI-chatbots and what they deliver for each industry.

So, before you consider implementing this technology; you need to know how does AI-chatbot worksand how beneficial it could be for your business to be available for clients 24/7.

Then, from this point on we are going to talk about some of the AI-chatbots, we can found in the market, their functions, and how they might be useful for your business.

1. Omnichannel chatbots

All customers want a one-on-one conversation, a personalized service. And they are expecting us to deliver the best attention possible through multiple channels. That’s when the omnichannel chatbots come in to play. 

An omnichannel chatbot can be successfully implemented in multiple channels like your website, Facebook Messenger, WhatsApp, and wherever users interact but can still be managed from a single platform. 

Some examples of this are Skype bot, Xenioo Platform bot, and others.

2. Retail and e-commerce chatbots

A retail chatbot is more product-oriented. But, don’t get things wrong, they also offer customer service and they help any client through the entire sales process. 

Companies that use retail chatbots can provide a personal treatment, with real-time offerings, cross-sell purchases, and give ideas and suggestions similar to having a person right there assisting you. 

Also, this type of chatbots delivers alerts, updates regarding the stock inventory, and keeps a follow up to your customers.

An example of a retail chatbot is the one built by Sephora which you can find on Kik and Facebook Messenger and helps customers shop and purchase products, it also provides inspiration and help.

Sephora retail chatbot on Kik, for example.

E-commerce chatbots

They might be similar in functions to retail chatbots, but they are different in terms of specialization. E-commerce chatbots are built for customer support, being able to handle specific and repetitive questions and provide the experience of a personal shopper assistant.

Many companies that use e-commerce chatbots find that they handle up to 80% of customer support questions. Their customers get fast, reliable answers and their support team has more time for valuable work. 

3. Transactional (Fintech) chatbot

Gartner estimates that 85% of banks and businesses will use more AI chatbots by 2020.

A transactional chatbot aka bank chatbot it’s used to assist customers while they check their accounts, balances, and statements. A bank chatbot is also used for making real-time monetary transactions, programmed transactions, currency exchange, financial planning, and other tasks. 

Rita Revolut’s Intelligent assistant, for example.

4. Entertainment Chatbot

It’s recognized as a hybrid. A combination of a conversational chatbot with other forms of Augmented Reality (AR) or Virtual Reality (VR) technology that deliver a “surreal” experience, giving any player the possibility to compete and engage in a natural conversation with non-playing characters. 

Entertainment chatbots can learn about the preferences of each player. They can suggest new items, opportunities to subscribe, plan upgrades, and promotions, that users would love to consume.

Mondly VR entertainment chatbot, for example.

5. Travel & Hospitality Chatbot 

They can engage customers through a natural conversation, gathering all the data needed as budget limitations, means of transportation, and destinations, to offer suggestions related to what the customers are looking for.

The best chatbots can simplify booking and travel arrangements, provide real-time concierge-like services to guests, and troubleshoot any issues regarding directions, documents, and trip organization — John Lincoln CEO of Ignite Visibility.

For a travel chatbot example, we can find a variety of options like Kayak, Tripadvisor, Cheapflights, and many more.

An example of a hospitality chatbot is the one integrate by Aloft Hotels (which forms part of Marriott International). They introduced the “ChatBotler”, in which guests can request basic hotel services through text; is like having a virtual butler.

Aloft Hotels Chatbot, for example.

6. Talkative chatbots

These chatbots are very clever, they are built to engage in the most natural conversations with people. They are meant to have their own “personality”, to be fun, chatty, and content-rich. 

Talkative chatbots require a strong NLP mapping and detailed development.

And Xiaoice (pronounced Shao-ice) is a perfect example of a talkative AI-chatbot. Developed by a Microsoft research lab in China. It has the personality of a 17-year-old Chinese girl and it was launched in May of 2014. Nowadays it counts with more than 60 million registered users. 

Microsoft Xiaoice chatbot, for example.

7. Voice-activated chatbots

Voice chatbots or Virtual assistants are voice-based conversational interfaces.

Is one of the most known AI-chatbot, they can go from following and executing commands, to taking further actions depending there plugin and they are programmed to reply through voice, text, or both. 

The most popular examples we can find in the market are Alexa, Google Assistant, Siri, and Cortana. 

Alexa virtual assistance device, for example.

In Conclusion

In the industry there is an infinity of AI-chatbots with different characteristics and functions, no matter the size of your company or for how long it has been in the market; you can benefit from using an AI-chatbot.

Though this is not the most extensive list, you can still create your own criteria based on the examples above. And try to choose which AI-chatbot could be the most beneficial for your company before building and integrating your own.

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