Pros: The visual bot builder makes building complicated bots really easy without loosing the greater picture. And with all the functions that are offered you are not limited by what the bot can do. And things you currently can't do are worked on by the developers immediately to make the product better. It is amazing how fast they pump out great updates!

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Meya helps businesses create bots that assist their customers inside messaging apps. It has a code editor, live debugger, and a visualizer. With the help of Meya, companies can leverage AI for their customer service. You can build, train, and host your bots on Meya. And you can easily scale your bot. Meya integrates easily with third party applications, which increases its usability.

4. Chatbots make friends and build relationships: Most companies wish their agents had more time to make outbound, proactive contact with their customers. Chatbots are there to help, and in some ways, they are revolutionizing the way brands stay in touch with their customers. Whether it’s a simple email or text on a customer’s birthday, or a quick check-in to ask if they are enjoying the brand’s product or service, chatbots are helping to foster brand loyalty. Devine says, “This may sound counterintuitive, but the most sophisticated chatbots can provide a more human experience than an actual human. They don’t have bad days and they don’t get frustrated by typical customers.”
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.

Miriam Slozberg is a freelance writer, blogger, and social media content creator who educates others about the realities of mental illness and depression. Because she suffers from depression, she wants the stigma of mental illness to be completely broken and for it to be made known that any kind of mental illness is just as serious as any kind of physical illness. She mostly writes in the parenting niche, is a frequent contributor to BabyGaga, and runs two blogs: at her own site and at Expressive Mom. You can also follow her on Twitter.
Typically, customer service chatbots answer questions based on key words. The most basic systems are actually document retrieval systems. Sometimes this is frustrating. Think of the times you may have asked Siri or Alexa a question and received the wrong answer. The computer recognizes key words but may not recognize the context in which they are being used. In other words, the computer doesn’t recognize the way people naturally speak. This causes the customer great frustration. However, these systems (including Siri and Alexa) have come a long way and continue to improve.
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.
1. The chatbot never sleeps: Customer service is all about convenience, which includes 24/7 customer support. A cost-efficient, yet powerful way to provide basic support is through the never-sleeping chatbot. Devine shared an excellent example of this. In the banking industry, Workfusion’s chatbots are trained by using historical conversations and can perform some of the same tasks as a live support center rep such as correcting an invoice, answering basic questions about account balances and more. Customers receive the same level of service they would get from the support rep. The chatbot can recognize human emotions such as anger, confusion, fear and joy. And, as mentioned above, if the chatbot detects that the customer is angry, upset or frustrated, it will seamlessly transfer the interaction to a human to take over and finish assisting the customer.
Chatbots, which are often called virtual agents or virtual assistants, are used in place of a human to conduct specific tasks or provide information based on written or spoken requests. This functionality includes both external, customer-facing requests and internal, employee-facing requests. Chatbots allow users to interact with an application in a conversational manner, whether textually or audibly, to perform certain functions.
Imperson develops enterprise chatbots that support text, audio, video, AR, and VR on all major messaging platforms. Their conversational bots provide authentic and engaging customer chat experiences. The conversation navigator uses relationship memory, NLP user intents, and deep dialogue context to lead conversations. And the AI moderator helps achieve customer’s goals. Imperson provides an end-to-end bot solution.
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.
Reply.ai brings the power of artificial intelligence across all messaging apps including Facebook Messenger, Kik, Telegram, LINE, SMS, or your own chat screen. Native custom UI elements are used in each channel. Reply.ai visual bot builder gives you the power to build advanced bots as well as visually create your conversations on your own, without the help of a developer. Reply.ai supports human/bot hybrid which allows human agents to take over the conversation from Reply.ai, Zendesk, LiveChat, BrightPattern, FreshDesk or ZipWhip, at any moment and only when really needed. Analytics enable you to analyze every single response from your users…
Wit.ai is a platform that enables developers build applications that users can talk to or text to. Wit.ai uses an extensible natural language platform that empowers developers to build those applications. Wit.ai is able to learn human language and interaction and leverages the community. Wit.ai enables developers create text or voice based bots. Through Wit.ai, humans can now easily chat with bots on any messaging platform they prefer. Hands-free mobiles are now taking over the normal mobile phones and preferred mostly by humans. This is because humans can have the mobile experience while doing other activities such as cooking, working…
Cons: Initial onboarding is wonky and can use UX upgrades. It was difficult understanding how to get started until I watched several videos. I also had issues using this platform on Firefox to connect Facebook messenger. Currently, the workaround is to use Chrome to connect messenger and then you can continue working on Firefox. I don't like having to use a different browser to obtain functionality. The team promised this was a bug that will be ivnestigated
Actionable Science is a technology startup using Artificial Intelligence (AI) to deliver conversational helpdesk services. The company's Virtual People/digital agents use advanced NLP and machine intelligence to enable customers to have natural dialogues over messaging. The digital agents come ready to be implemented and are pre-trained with basic, entry-level skills for their functional roles. They can do everything you expect from an optimized service desk, including tracking tickets and seamlessly partnering with your human teams.

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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