But even though most chatbots can handle moderately sophisticated conversations, like welcome conversations and product discovery interactions, the if/then logic that powers their conversational capabilities can be limiting. For instance, if a customer asks a unique yet pressing question that you didn’t account for when designing your chatbot’s logic, there’s no way it can answer their question, which hangs your customer out to dry and ultimately leaves them dissatisfied with your customer service.
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.
NGChat is a live chat that is fully dedicated to the e-commerce market. It is designed with sales representatives in mind. It provides you with all the information you need about your clients and their e-shop activity. It does this by tracking and monitoring the activity of your clients when they visit your shop, providing an accurate analysis of your client’s activities. This in turn gives you the information you will need to best support your sales strategy. NGChat is a solution that provides you with information which is vital for you as a seller and the e-commerce industry. NGChat…

Overall: Botengine greatly reduces the number of chats our helpdesk support team gets to respond to. Realistically too ,a lot of customer questions have their answers already on the company website , thereby making it easy for our chatbot to simply direct such customers to the appropriate part of the website ,where answer to their query is available. Saving our agents the need to spend precious time doing that.
Alfred AI aims to transform humans into super-humans by strengthening their abilities. It's able to process text and audio specialized in CX in three languages. Spanish, Portuguese and English in which slang and other natural ways of language can be used. By implementing an innovative Machine Learning it understands and answers in a very friendly manner. Alfred AI is not just a bot is also a virtual agent able to respond chats, mails, tweets. FB, Instagram, WhatsApp and a phone call. It integrates with CRMs (Oracle Rightnow, Salesforce, Avaya) and other virtual agents such as Alexa or Siri but not limited to. One of the main difference with competitors is the fact that it only charges whenever a correct answer confirmed by the user is given. If a user states that the answer was not useful or it never answers then it won be charged. Alfred AI is different, is a CX specialist with empathy as main characteristic together with a high level of understanding.
Semantic Machines solve conversational artificial intelligence. The conversational artificial intelligence interfaces by Semantic Machines will soon enable a natural communication between people and computers. Semantic Machines vision is paving way for conversational computing through development of fundamental artificial intelligence technology. Semantic Machines is currently developing language independent technology platform. The platform will enable computers collaborate, communicate, accomplish tasks and understand goals. Semantic Machines are developing the conversation engine. The conversation engine will extract semantic intent such as text or voice from a natural input. The engine then will spawn a self updating framework that will manage the content and end…
Artificial Intelligence (AI) is dramatically changing business, and chatbots, fueled by AI, are becoming a viable customer service channel. The best ones deliver a customer experience (CX) in which customers cannot tell if they are communicating with a human or a computer. AI has come a long way in recognizing the content – and context – of customers’ requests and questions.
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.
Pros: I like the quickness with which I am able to create a chatbot on Botengine. I also think that Botengine is well priced and affordable for small teams like ours. Most important ,is the fact that the chatbot we created on Botengine ,has been reliable and met our expectation by reducing the amount of customer query our customer care department agents have to respond to each day.
Answer Bot works right alongside your support team. It uses machine learning to help answer your customers' questions with content from your Zendesk Guide knowledge base. The answers it provides are tailored to each customer's question accurately and reliably—every time. And when in doubt, Answer Bot loops in your support agents to offer the customer a human touch.
Pros: First, a shout-out to the developers and especially the founder for taking lead in such an awesome product with great support. I've been with them solely for creating funnels on facebook messenger bot but ActiveChat wow me with more channels like telegram and the ability to integrate NLP easily! Drag-drop interface for creating skills/sequences with functions/fields is also improving. Impressed!
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.
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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