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.
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.
Fortunately, the next advancement in chatbot technology that can solve this problem is gaining steam -- AI-powered chatbots. By leveraging machine learning and natural language processing, AI-powered chatbots can understand the intent behind your customers’ requests, account for each customer’s entire conversation history when it interacts with them, and respond to their questions in a natural, human way.

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.
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.

Hmmm…interesting list. I however was thinking that you may want to include Engati as well. Engati is a chatbot platform that allows you to build, manage, integrate, train, analyse and publish your personalized bot in a matter of minutes. It presently supports eight major messaging platforms including messenger, kik, telegram, line, viber, skype, slack and webchat with a focus on customer engagement, conversational commerce, and customer service and fulfillments.


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
Botengine enable sales and customer care agents focus on the complex issues and complaints made by our customer on the website,while our Botengine focuses on tackling the little and simple issues faced by customers,whose answers for the most part even lies on sections of our website.Thus on most occasions,Botengine simply respond to customers with a web link.
IBM Watson Conversation is a developer friendly platform that quickly builds and deploys chatbots and virtual agents across a variety of channels, including messaging platforms, mobile devices and even robots. IBM Watson Conversation is easy to begin with and easy to use. Users also get to enjoy the fast speeds of integrating across networks, channels and environments. IBM Watson Conversation Is also robust and secure. IBM protects your own data and privacy enabling users to opt out of data sharing. The enterprise grade feature provides users with a reliable infrastructure that scales with individual use cases. IBM Watson Conversation enables…

Rasa NLU & Core allows for more human-like dialogue, trained using interactive, and supervised machine learning. Rasa Core picks up patterns from real conversations and also takes the history and external context of a conversation into account. The Rasa NLU engine is an open source tool for intent classification and entity extraction, and offers natural language understanding for bots and assistants. It features the capability to turn natural language into structured data. It is modeled as a set of high level APIs for building your own language parser using existing NLP and ML libraries. Many developers world-wide are using it…
It’s time to change your cleaning habits. It’s time for CleanBot Cleaning! This small, circular automated vacuum can revolutionize the way you care for your home or other surroundings (like the office). If you want your floors to be free of hair, dander, dirt, dust, and more, this cute, little robotic vacuum has got you covered. This can help protect you and your loved ones against the dangers of indoor allergens! And with this exclusive online offer, you get to experience the future of cleaning with a great deal.  

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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