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.
Chatfuel is an artificial intelligence bot platform. Chatfuel understands and answers user requests in the right way increasing customer experience. Chatfuel main focus is making it easy for everyone to use chatbots on Facebook messenger. Our chatbots are made to strengthen the connection between you and your audience. Your audience can be readers, customers or fans. Chatfuel chatbots require no programming therefore enabling users add or edit content on the platform. Chatfuel starts to work when a user sets up conversational rules in their dashboards. The user’s bot then recognizes similar phrases from the user’s conversation then the bot understand…
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.
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.
Pros: Having a woocommerce site than activechat is a must have bot for your facebook page. Not only for facebook they have bots for other platforms like telegram, and whatsapp bots are about to launch in a while. They have launched a website widget too. NLP is an addition to this bot its just more interactive than any other bot available. I am waiting for whatsapp integration
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.
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.
If you plan on using ChatBot, it'll take a while to get it near perfection. I would recommend creating a list of events or potential encounters and map it out on your website to try to predict how to fix it. Plan this out on paper and use each scenario, it'll take hours but it'll build value and make it seem like the client is talking to a real person. After that, use the chat logs where a client runs into an issue with the chat to learn what can happen and fix that scenario.
LivePerson’s BotStudio also lets you build chatbots from scratch, without any coding knowledge, and its analytics dashboard can track metrics like real-time sentiment, bot containment rate, bot conversation time, total conversation time, average order value, and bot contained sales, allowing you to grasp the impact your chatbot has had on your business’ bottom line.
Chatbots also offer much-needed assistance to your customer relations team by handling the most basic inquiries and forwarding more complex ones to the human administrators. They mostly take care of the needs of millennials who prefer live chat. The platform is also ideal for the sale of a wide range of similar products or services; it helps match customer preferences to the right choice. Generally, organizations that have incorporated chatbot platforms in their operations have a better competitive position mainly because of the improved customer service and marketing.
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…
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.