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.
Pypestream is a secure messaging platform that offers customer engagement solutions that connects customers to their businesses through the power of smart messaging. Pypestream is a compliant and secure platform that combines chatbots with pragmatic AI therefore enabling transactions over messaging. Pypestream uses fully fledged technology that provides businesses with scalable and secure messaging solutions. Pypestream objective is transforming enterprises to on demand powerhouses by providing powerful and smart messaging solutions. Pypestream two way smart messaging platform uses patented framework of streams and Pypes. The patented framework separates communication into topic specific channels. This will enable enterprises or companies broadcast…
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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Botengine does a awesome job ,there is no limit to the number of chat our Botengine chatbot can respond to at the same time. Botengine assists our customer care team in responding to regular questions which our customers usually ask ; questions whose answer already lies on one section of the website or another. Therefore on most occasions ,Botengine simply refers our web visitors to sections of the website ,where the answer to their question lies.
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.