• i-Chatbots are currently used in many businesses like Facebook messenger, or as virtual assistants, such as Amazon's Alexa and Microsoft Cortana.
• ii-Chatbots made only with two methods— via machine learning or with set of rules and guidelines.

Let’s talk about development of chatbot via Machine Learning

The core of the program is built by feeding the training data to program with clients given questions or story. Then a model is created by proving the training with some specific machine learning algorithms and context data after that our model can simulates the behaviour of a character of customers story example as customer service, request routing, or information gathering bot.

Then the developed model is deployed on websites and applications. Where user can interact with chatbot and chatbot is able to provide answers within seconds.

Development of chatbot via set of rules and guidelines

Here the core of the program is written with some hard code rules and set of guidelines. This method is used very frequently, because this method does not provide the intelligence to the chatbot. The set of rules written on chatbot program is only able to provide the responses for some specific questions. Which may cause the problem for the customers who are using a chatbot or interacting with it.

Application of chat bot in different domains ( Messaging Apps )

Tech giant’s companies' chatbots mostly run on messaging apps or simply via SMS. They are used for B2C customer service, sales, and marketing. Many banks, insurers, media companies, e-commerce companies, airlines, hotel chains, retailers, health care providers, government entities and restaurant chains have used chatbots to answer simple questions, increase customer engagement, for promotion, and to offer additional ways to order from them and information gathering.

On company apps and websites

Old generations of chatbots were present on company websites, e.g. Ask Jenn from Alaska Airlines which debuted in 2008 or Expedia's virtual customer service agent which launched in 2011. The newer generation of chatbots includes IBM Watson-powered "Rocky", introduced in February 2017 by the New York City-based e-commerce company Rare Carat to provide information to prospective diamond buyers.

Customer Service

Many high-tech and banking organizations are want to integrate automated artificial intelligence based solutions such as chatbots into their customer service to provide faster and cheaper assistance to their clients who are becoming increasingly comfortable with technology. In particular, chatbots can efficiently conduct a dialogue, usually replacing other communication tools such as email, phone, or SMS.

In banking, their major application is related to quick customer service answering common requests, as well as transactional support. In large companies, like in hospitals and aviation organizations, IT architects are designing reference architectures for Intelligent Chatbots that are used to unlock and share knowledge and experience in the organization more efficiently, and reduce the errors in answers from expert service desks significantly.

Healthcare

Chatbots are also widely used in the healthcare industry nowadays. A study suggested that physicians in the United States believed that chatbots would be most beneficial for scheduling doctor appointments, locating health clinics, or providing medication information.

Politics

In India, the state government has launched a chatbot for its Aaple Sarkar platform, which provides conversational access to information regarding public services managed.

Toys

Chatbots have also been incorporated into devices not primarily meant for computing, such as toys. Hello Barbie is an Internet-connected version of the doll that uses a chatbot provided by the company ToyTalk, which previously used the chatbot for a range of smartphone-based characters for children. These characters' behaviors are constrained by a set of rules that in effect emulate a particular character and produce a storyline. It, like the Hello Barbie doll, attracted controversy due to vulnerabilities with the doll's Bluetooth stack and its use of data collected from the child's speech.