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.”
Are the travel bots or the weather bots that have buttons that you click and give you some query, artificially intelligent? Definitely, but they are just not far along the conversation axis. It can be a wonderfully designed conversational interface that is smooth and easy to use. It could be natural language processing and understanding where it is able to understand sentences that you structure in the wrong way. Now, it is easier than ever to make a bot from scratch. Also chatbot development platforms like WotNot, Chatfuel, Gupshup make it fairly simple to build a chatbot without a technical background. Hence, making the reach for chatbot easy and transparent to anyone who would like to have one for their business. For more understanding on intelligent chatbots, read our blog.
Chatterbot is a machine learning and conversational dialog engine. Chatterbot enables easy generation of automated responses to the use’s input. In order to generate different types of responses, Chatterbot employs use of machine learning algorithms therefore enabling developers automate conversations and create chat bots for users in an easy way. Chatterbot is language independent. The language independent design, enables Chatterbox speak any natural language. Due to Chatterbot’s machine language nature a human agent or developer is also able to improve its knowledge level. This improves Chatterbot’s level of relaying possible responses when it interacts with other sources of informative data…
If you plan on using ChatBot, it'll take a while to get it near perfection. I would recommend creating a list of events or potential encounters and map it out on your website to try to predict how to fix it. Plan this out on paper and use each scenario, it'll take hours but it'll build value and make it seem like the client is talking to a real person. After that, use the chat logs where a client runs into an issue with the chat to learn what can happen and fix that scenario.
For at least the foreseeable future, chatbots won’t be replacing humans in contact center jobs. At this point, chatbots will only replace some of the tasks that people are now handling – especially lower-level requests, questions and complaints. The best chatbot systems can recognize customer frustration and switch the interaction to a human in the company’s support center. That said, chatbots are on their way to mainstream acceptance. Here are four ways AI and chatbots are creating a major impact in the customer service and CX world:
ChattyPeople helps you build custom chatbots for Facebook and Slackbot. The platform can teach you the skills you need to make chatbots. It makes custom chatbots for small businesses, e-commerce, and enterprises. ChattyPeople thus creates, tests , deploys, and manages the bots within the chosen messaging app. It also provides you bot analytics to optimize the customer experience.