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!
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.
3. Personalizing the customer experience: Chatbots excel at collecting customer data from support interactions. After all, it’s the computer that’s doing the work. The advantage is that live support agents can use this information to personalize their interactions with customers. Devine says chatbots serve as virtual assistants that can feed customer data to the agent in real time, so the agent can give the customer good information and solutions based on current needs as well as past interactions with the company.
Reply is one of the best AI chatbot platforms. It is an enterprise level bot-building and management platform. And it enables B2C communications at scale. Their visual bot builder makes it easy to build bots. The dashboard has built-in CRM, machine learning, and real-time insights to make smarter and faster bots. You can expand bot functionalities across the whole customer experience.

Flow XO enables you to build bots for Telegram, Slack, and Facebook Messenger. With the help of Flow XO, you can build bots in a straightforward manner by using a logical flow. Third party integrations form a core part of this chatbot platform. Users can build bots that integrate with other services like Google Drive, Twitter, Salesforce, and more. Its built-in hosting and management makes it one of the best AI chatbot platforms.


Pros: It's system is more advanced comparing with Manychat or Chatfuel (both are like toys if you try Activechat). It has autorresponders of course, but also suitable for flexible AI conversations. Is like coding an advanced chatbot without needing to be a coder. The team is very responsive and their founder Andrii has a clear vision about this project.
Pros: Botengine is a product of Livechatinc and it is no surprise it is so efficient.I love how easy it is to create a chatbot via the Botengine platform and also the fact creating a chatbot requires no technical background.The level of support provided the team during the setup and continuous usage of our chatbot by the Livechatinc team ; allowing us know about newer ways through which we can improve the efficiency of our bots.
Existor is the algorithm used to developed Cleverbot, as well as EvieBot, BoiBot, PewDieBot, and ChimBot. It offers a wide-range of bot and AI-related products alongside bot development, such as apps and mobiles games, the Clever data set, and Cleverscript for scripted conversations. The underlying technology in Cleverbots not only processes verbal and textual interactions, but also the timing and degree of the avatars' facial expressions and movements to create a more authentic conversation experience.
ManyChat is a game-changing communication tool that lets you create Facebook Messenger bots to market your brand. ManyChat helps business can level up marketing, sales and support using Facebook Messenger. ManyChat’s visual drag-and-drop bot builder makes it easy and simple to setup your Facebook Messenger bot. Using the app requires no programming knowledge; you only need to connect your Facebook page to ManyChat, and the app will be up and running within no time. ManyChat enables you to effortlessly grow your Messenger audience by providing a complete set of growth tools to convert anyone into a subscriber. Growth tools can…
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.
By collecting over 20 years of messaging transcript data and feeding it to their AI-powered chatbot, LivePerson can automate almost every industry’s messaging and integrate with most messaging channels like your website, mobile app, Apple Business Chat, text messaging, Google Rich Business messaging, Line, Facebook Messenger, WhatsApp, and Google AdLingo.

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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.
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.

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.
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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