For at least the foreseeable future, chatbots won’t be replacing humans in contact center jobs. At this point, chatbots will only replace some of the tasks that people are now handling – especially lower-level requests, questions and complaints. The best chatbot systems can recognize customer frustration and switch the interaction to a human in the company’s support center. That said, chatbots are on their way to mainstream acceptance. Here are four ways AI and chatbots are creating a major impact in the customer service and CX world:


Botengine does a awesome job ,there is no limit to the number of chat our Botengine chatbot can respond to at the same time. Botengine assists our customer care team in responding to regular questions which our customers usually ask ; questions whose answer already lies on one section of the website or another. Therefore on most occasions ,Botengine simply refers our web visitors to sections of the website ,where the answer to their question lies.

If a visitor does engage, the bot is programmed to answer and determine if the user is a qualified lead based on their questions and responses. Qualified leads are invited to book a sales call with a rep. A calendaring integration makes it easy to reserve a spot, and a CRM integration means qualified leads are automatically routed to the right salesperson.


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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Its Alive helps you make chatbots for tour Facebook page. It enables you to engage with your Facebook community 24×7 with automated content to improve your response time significantly. Chatbots can be used to drive conversations. It can handle frequently asked questions directly through the chatbots by detecting keywords in Facebook Messenger. And it helps you broadcast your messages.

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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.
ChattyPeople helps you build custom chatbots for Facebook and Slackbot. The platform can teach you the skills you need to make chatbots. It makes custom chatbots for small businesses, e-commerce, and enterprises. ChattyPeople thus creates, tests , deploys, and manages the bots within the chosen messaging app. It also provides you bot analytics to optimize the customer experience.

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