Chatbots utilize natural language processing (NLP) and speech recognition to understand written and spoken requests; businesses can leverage this technology to automate tasks that formerly required human intervention. Based on a request from a user, the chatbot provides the user with an output, which is a response to the request in text or speech form. With the use of machine learning and deep learning, chatbots can grow intelligently and understand a wider vocabulary and colloquial language, as well as provide more precise and correct responses to requests.
Reply is one of the best AI chatbot platforms. It is an enterprise level bot building and management platform. And it enables business to consumer communication at scale. Their visual bot builder makes it easy to build bots. The dashboard has built-in CRM, machine learning, and real-time insights to make smarter and faster bots. You can expand bot functionalities across the whole customer experience.

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I always love to see what types of people I’m paired with in a situation like this. I was initially given all women in their 40s and decided to ask for “more options,” just to see what that looked like. I was then given a wider array of ages, as well as one man. After making my choice (I chose the man), I received my first voice text within a couple of days.
Adam Devine is the CMO of WorkFusion, architects of AI-powered products that automate customer service functions as well as other business processes. According to Devine, “Adding natural language processes and machine learning changes everything, giving virtual customer assistants (VCAs) the ability to determine not just what rules-based action to take based on a word, but to understand the meaning of words in different combinations, ask questions to create context and intent, and actually do something for the customer.” 

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Studies and reports show that customers want quick, frictionless solutions to their problems and answers to their questions. No doubt there are acceptance issues for AI and chatbots. Some customers have always used traditional phone support and have a hard time accepting anything else. But, there is a growing contingent of customers who are increasingly open to new technology, especially if it can enhance their CX. As the technology improves and acceptance grows, chatbots, powered by AI, will have a strong role in customer service and support.
MobileMonkey makes it easy for non coders to make chatbots. Their bot building tools make designing and editing bots a simple job. It enables you to build powerful bots for Facebook Messenger in the matter of minutes. You can deploy chatbot campaigns, and you can use MobileMonkey “Lead Magnets” to grow your Messenger opt-in list. This chatbot platform helps you automate Messenger marketing campaigns with ease.
Chatfuel helps you make a Facebook chatbot without coding. You can use the editing tools to design chatbots. And you can set up conversational rules in the dashboard. The bot will use NLP to understand and recognize phrases, and will send users predefined answers. You can build a chatbot to serve as a customer service advisor, an event assistant, or a personal avatar. Chatfuel’s analytics technology provides insights about the performance of the bot.
Created in 1966 as an early natural language processing (NLP) computer program that emulates a Rogerian psychotherapist, a clinical practice that allows clients to take more action and progression in discussions. This is also known as person-centered therapy. Developed by Joseph Weizenbaum, ELIZA, named after a character in the play Pygmalion by George Bernard Shaw, is generally known as the first chatbot.

Created in 1966 as an early natural language processing (NLP) computer program that emulates a Rogerian psychotherapist, a clinical practice that allows clients to take more action and progression in discussions. This is also known as person-centered therapy. Developed by Joseph Weizenbaum, ELIZA, named after a character in the play Pygmalion by George Bernard Shaw, is generally known as the first chatbot.

Chatterbot Platform or Chatbot Software are computer program which are designed to simulate an intelligent conversation with one or more human users via auditory or textual methods, for engaging in conversation. Chatterbot are text based conversation agent which can interact with human users through some medium, such as an instant message service. The primary aim of such simulation has been to fool the user into thinking that the program's output has been produced by a human. Programs doing this are referred to as Artificial Conversational Entities, talk bots, chatterboxes, chatter robot, chatterbot, chatbot, or chat bot. Some of the chatterbots use natural language processing systems, and some others scan for keywords within the input and respond with a reply with the most matching keywords, or similar wording pattern, from a textual database. Chatterbots are often integrated into dialog systems for various practical applications such as offline help, personalised service, or information acquisition.

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