A chatbot is an AI-powered software that can effectively communicate with people in a lucid and intelligent manner. A chatbot stimulates communication through messaging applications, websites, mobile apps, or smartphone assistants like Ok Google or Siri. Thus, a chatbot represents the closest interface of communication between a man and a machine. This article will help you understand about different types of chatbots used in various business sectors.
With the advent of chatbots, the contact between a customer and a brand has undergone a complete transformation. Chatbots are being used by companies in practically every sector to service clients worldwide. Determine the purpose of your chatbot, who will lead the discussion while posing questions, the channels you want to employ, and your budget before deciding which chatbot is best for you. This will offer you an idea of the proper kind to concentrate on and center your plan around.
Types of Chatbots
Menu/Button-Based Chatbots
Rule-based chatbots
Keyword recognition-based chatbots
Machine Learning chatbots
Social Messaging Chatbots
Voice bots
Menu/Button-Based Chatbots
These chatbots allow the user to choose from a variety of options that are shown as menus or buttons. Depending on what the user clicks, the bot will present them with a different set of options to choose from.
For Example,
Chatbot: Hello (first name),
Please select an option.
Order Food
Order Drink
Order Sweets
You: Order Food
Chatbot: You seem to be hungry. Choose what you want to eat, and I’ll call someone to assist you.
Italian
Chinese
Mexican
You: Italian
Rule-based chatbots
Rule-based chatbots are essentially conversational flows that are initiated by clickable buttons below a chat window.
For Example:
Would you like this freebie? When you press the button, a reply message with the words “Great!” will appear. Is this helpful?
Keyword recognition-based chatbots
Unlike menu-based chatbots, keyword recognition-based chatbots can hear what users are saying or typing. They employ customizable keywords and AI to determine how to react appropriately.
Natural language processing (NLP) is a technique used by chatbots with keyword recognition to help their users. By entering free text, users can communicate with this website. The chatbot answers with the most suitable response after evaluating the user’s content using keywords.
Machine Learning chatbots
Machine learning is the process of teaching computers to behave more like the human brain. It teaches robots to solve issues, answer questions, and draw conclusions without the need for human intervention by utilizing training data and natural language processing (NLP). This is the most advanced chatbot. These chatbots employ machine learning (ML) and artificial intelligence (AI) to record particular user chats in order to learn and evolve over time. Chatbots with contextual information, as opposed to keyword recognition-based bots, are intelligent enough to self-improve based on what users ask for and how they ask for it.
For instance, a contextual chatbot that enables users to place pizza orders will learn the user’s preferred ordering preferences by storing the data from each conversation. This means that eventually, whenever a user chats with this chatbot, it will remember their most frequent order, their delivery address, and their payment details and will only prompt them to repeat this transaction. The user only needs to reply with “Yes” and the food will be ready, saving them from having to respond to multiple questions.
Chatbots for Social Messaging
In messaging apps like Facebook Messenger, a chatbot is a type of bot that employs artificial intelligence to respond to queries and carry out simple tasks. Customer support, data and lead gathering, purchasing advice, and other functions can all be performed by a chatbot.
Voice bots
A voice chatbot is an AI conversational communication tool that can record, decode, and understand vocal input from the speaker in order to answer in a manner that is similar to natural language. A voice AI chatbot allows users to engage with it using voice commands and receive contextualized, pertinent responses.
By enabling users to speak naturally to the AI, voice chatbots elevate AI chatbots to a new level. The voice chatbot will react in its own voice when you speak to it in the same way you would to a real person. The speech chatbot’s natural language processing capabilities make communication simple. Alexa, Siri, and Google Assistant are three voice assistants that people are now accustomed to using in their homes.
Chatbot benefits
The main purpose of a chatbot is to reduce the workload that the industries are burdened with currently. In the current times, the need for a chatbot is most vital. This is because a chatbot is available all the time irrespective of local time and geographic location. It should also be mentioned that a chatbot is less prone to errors and delivers commendable customer satisfaction round the clock.
TagX for Chatbot Training
To make the Chatbot smarter and more helpful, it is important to feed the AI algorithm with more accurate and high-grade training data sets. TagX has significant experience in gathering, classifying, and processing different types and quality of chatbot training data sets to make such self-propelled applications more effective. We ensure to provide the best virtual customer service with just a few seconds of interaction. We provide you with exceptional, relevant data sets to train your chatbots for them to solve customer queries and take appropriate actions as and when required.
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