A chatbot on an eCommerce website would be totally unlike the one for Banking. Just how we contrast in our personality and talents, the same goes for chatbots in their appearance and activities!
In this blog, we’ll be touching upon what are the different types of chatbots, their applications and their functionalities. This will give you a clear understanding of chatbot classification and what would be the ideal chatbot type for your business!
What are the different types of chatbots?
- Menu/button-based chatbots
- Linguistic Based (Rule-Based Chatbots)
- Keyword recognition-based chatbots
- Machine Learning chatbots
- The hybrid model
- Voice bots
Menu/button-based chatbots are the most basic type of chatbots currently implemented in the market today. In most cases, these chatbots are glorified decision tree hierarchies presented to the user in the form of buttons. Similar to the automated phone menus we all interact with on almost a daily basis, these chatbots require the user to make several selections to dig deeper towards the ultimate answer.
While these chatbots are sufficient for answering FAQs that makeup 80% of support queries; they fall short in more advanced scenarios in which there are too many variables or too much knowledge at play to predict how users should get to specific answers with confidence. It’s also worth noting that menu/button-based chatbots are the slowest in terms of getting the user to their desired value.
If you can predict the types of questions your customers may ask, a linguistic chatbot might be the solution for you. Linguistic or rules-based chatbots create conversational automation flows using if/then logic. First, you have to define the language conditions of your chatbots. Conditions can be created to assess the words, the order of the words, synonyms, and more. If the incoming query matches the conditions defined by your chatbot, your customers can receive the appropriate help in no time.
However, it’s your job to ensure that each permutation and combination of each question is defined, otherwise, the chatbot will not understand your customer’s input. This is why a linguistic model, while incredibly common, can be slow to develop. These chatbots demand rigidity and specificity.
Unlike menu-based chatbots, keyword recognition-based chatbots can listen to what users type and respond appropriately. These chatbots utilize customizable keywords and an AI application - Natural Language Processing (NLP) to determine how to serve an appropriate response to the user.
These types of chatbots fall short when they have to answer a lot of similar questions. The NLP chatbots will start to slip when there are keyword redundancies between several related questions.
It is quite popular to see chatbot examples that are a hybrid of keyword recognition-based and menu/button-based. These chatbots provide users with the choice to try to ask their questions directly or use the chatbot’s menu buttons if the keyword recognition functionality is yielding poor results or the user requires some guidance to find their answer.
Ever wondered what is a contextual chatbot? A contextual chatbot is far more advanced than the three bots discussed previously. These types of chatbots utilize Machine Learning (ML) and Artificial Intelligence (AI) to remember conversations with specific users to learn and grow over time. Unlike keyword recognition-based bots, chatbots that have contextual awareness are smart enough to self-improve based on what users are asking for and how they are asking it.
For example, a contextual chatbot that allows users to order food; the chatbot will store the data from each conversation and learn what the user likes to order. The result is that eventually when a user chats with this chatbot, it will remember their most common order, their delivery address, and their payment information and merely ask if they’d like to repeat this order. Instead of having to respond to several questions the user just has to answer with ‘Yes’ and the food is ready!
While this food ordering example is elementary, it is easy to see just how powerful conversation context can be when harnessed with AI and ML. The ultimate goal of any chatbot should be to provide an improved user experience over the alternative of the status quo. Leveraging conversation context is one of the best ways to shorten processes like these via a chatbot.
Businesses love the sophistication of AI-chatbots, but don’t always have the talents or the large volumes of data to support them. So, they opt for the hybrid model. The hybrid chatbot model offers the best of both worlds- the simplicity of the rules-based chatbots, with the complexity of the AI-bots.
To make conversational interfaces even more vernacular, businesses are now beginning to use voice-based chatbots or voice bots. Voice bots have been on the rise for the last couple of years, with virtual assistants like Apple’s Siri, to Amazon’s Alexa, and why? Because of the convenience they bring. It’s much easier for a customer to speak rather than type. A voice-activated chatbot brings frictionless experiences directly to the end customer.
So, which type of chatbot is right for you?
While deciding if a chatbot is right for you, place yourself in the shoes of your users and think about the value they’re trying to receive. Is conversational context going to significantly impact this value? If not, then it is probably not worth the time and resources to implement at the moment.
Another thing to consider is your target user base and their UX preferences. Some users may prefer to have the chatbot guide them with visual menu buttons rather than an open-ended experience where they’re required to ask the chatbot questions directly. All the more reason to have users extensively test your chatbot before you fully commit and push it live.
The right chatbot is the one that best fits the value proposition you’re trying to convey to your users. In some cases, that could require enterprise-level AI capabilities; however, in other instances, simple menu buttons may be the perfect solution.
What are some applications of Chatbots?
We've seen the list of chatbots categories that are available. Now, you're probably wondering what is the main use of chatbots? Let's look at the prime applications of chatbots for business:
Appointment scheduling or booking bots are the kind of bots you usually find in Healthcare, Airlines and Hotel industries. These bots help customers book slots for appointments with the enterprise they communicate with.
Appointment bots are often linked to Google calendar, so when a customer books an appointment with you, it automatically gets stored in the calendar, creates an event and sends reminders to both the customer and the business representative. The HR team also uses HR chatbots to schedule interviews for recruitment purposes.
So if you have a business that requires a lot of booking and scheduling, this bot serves the purpose! Some of the chatbot types under this category are-
This has to be one of the most popular chatbot example! When someone says the word ‘chatbot’, the first thing to pop up in our mind is that one-time we spoke to a chatbot for customer care. These types of AI chatbots performs all tasks a customer support representative would do. And it does them real good! Such chatbots can be added to multiple touchpoints of a customer like a self-service knowledge base, website, mobile app, etc
Chatbot features such as 24/7 hour availability, quick and easy solutions, instant replies, and live chat facilities make support chatbots the ideal tool to improve customer service. It not only improves communication between businesses and customer base but also builds a rapport with them to earn customer loyalty. They also gather customer feedback and send it to your team so that you can work on the shortcomings.
They allow your customers to easily interact with your business through stimulating conversations and also play their part in increasing sales.
Some of the bot templates under this type of chatbots are-
Marketing and sales are the next most popular use-case of chatbots after customer support. So these intelligent bots are able to personalise the customer experience, have a larger engagement capacity, reach a wider audience, analyse customer feedback and data, sends relevant notifications and moves customers seamlessly through the sales funnel.
Some of the bot templates under this category are:
Entertainment bots are made for entertainment and media purposes. These bots include-
These are just to name a few among the wide range of templates we offer! Register with Engati to build an ideal chatbot for your business and browse through 100+ bot templates in the Bot Marketplace that caters to every business need of yours.
Many types of chatbot examples are seen everywhere today. Across many variants of businesses and enterprises. But have you ever noticed that no two chatbots are the same? Their purpose, functions, dialogue flow, the tasks they take care of, are all completely different! Why is it so? Because different business types have different requirements and needs that the chatbot has to fulfill. Nevertheless, if you think all the different chatbot types are created equally, you’re quite mistaken!