Developed by one of the leaders in the AI space, IBM, Watson Assistant is one of the most advanced AI-powered chatbots on the market. Pre-trained with content from your specific industry, Watson Assistant can understand your historical chat or call logs, search for an answer in your knowledge base, ask customers for more clarity, direct them to human representatives, and even give you training recommendations to hone its conversational abilities.
Pros: Very effective and increase in the number of leads. We have implemented chatbots to our client websites and definitely, there is a difference in the stats. The client is happy and we are very happy. It is easy to customize, with the common questions. And chatbot somehow keeps the audience engaged. Since it is real time people actually like it and you get a response, always.
When BotEngine was released, I was an instant customer. I built and deployed bots on at least four other platforms while waiting for BotEngine and every one of those platforms was problematic. Either they weren't reliable and would malfunction without warning, or they were free and then not free and then kind of free and then not, etc, so i would gladly recommend.

Rulai also integrates with most messaging channels, customer service software, enterprise business software, and cloud storage platforms. You can either build a Ruali chatbot from scratch with its drag-and-drop design console and let its AI adapt to your customers or you can implement a pre-trained chatbot that has been fed data from your specific industry.

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Overall: We are now able to leave our Chat on 24/7, when previously we had limited hours (due to staffing) for the Chat. It is still very much a work in progress to ensure the ChatBot has routed to the correct conversations and can sometimes be frustrating to try and figure out why the ChatBot went to a certain scenario over another. The help topics the company provides can point you in the right direction but they are written at a level above the capabilities of a brand new user to bots in my opinion. Determining whether or not no conversation with a client vs a below average conversation with a client (at times) is worth it, will determine whether we continue to renew our monthly subscription.

Pros: Building a bot is really simple with their pre-made templates and a drag and drop flow diagram. We have been using Activechat to automate skills aka flows for different visitors (leads and vendors) and touchpoints through different growth tools (referral path to trigger skills). Broadcasting to 'tagged' subscribers is also straightforward. A real game changer.0
Acobot is an artificial intelligence tool. It works to engage customers, answer questions, and produce sales. Acobot generates leads from your website by asking visitors for their email address or telephone number straightforwardly. More importantly, it helps you achieve conversion rate optimization by nudging visitors to act as you expect with interactive call to actions at the right points. Acobot is fully automated. It does all the job and continuously optimizes the conversion rate by itself. The longer it works for you, the more results it delivers to you.

Running on Pandorabots, one of the most powerful conversational artificial intelligence chatbot platforms, Mitsuku won the award for the most human-like AI in 2013 and again in 2017. She was created from AIML, a bot language technology by Steve Worswick, who found the inspiration for Mitsuku after being asked to write her character for an internet games site.

Amazon Lex is a service for building conversational interfaces into any application using voice and text. Amazon Lex provides the advanced deep learning functionalities of automatic speech recognition (ASR) for converting speech to text, and natural language understanding (NLU) to recognize the intent of the text, to enable you to build applications with highly engaging user experiences and lifelike conversational interactions. With Amazon Lex, the same deep learning technologies that power Amazon Alexa are now available to any developer, enabling you to quickly and easily build sophisticated, natural language, conversational bots (“chatbots”). Speech recognition and natural language understanding are some of the most challenging problems to solve in computer science, requiring sophisticated deep learning algorithms to be trained on massive amounts of data and infrastructure. Amazon Lex democratizes these deep learning technologies by putting the power of Amazon Alexa within reach of all developers. Harnessing these technologies, Amazon Lex enables you to define entirely new categories of products made possible through conversational interfaces. As a fully managed service, Amazon Lex scales automatically, so you don’t need to worry about managing infrastructure. With Amazon Lex, you pay only for what you use. There are no upfront commitments or minimum fees.


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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