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.
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.
Customer Service Automation Platform DigitalGenius is the AI platform that puts your customer support on autopilot by understanding conversations, automating repetitive processes and delighting your customers. The platform is powered by deep learning that understands your customers’ objectives, then drives automated resolutions through APIs that connect seamlessly to your own backend systems. This is the practical application of AI that delivers the concrete ROI you’ve been waiting for. Learn more at digitalgenius.com.
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.”

Created in 1966 as an early natural language processing (NLP) computer program that emulates a Rogerian psychotherapist, a clinical practice that allows clients to take more action and progression in discussions. This is also known as person-centered therapy. Developed by Joseph Weizenbaum, ELIZA, named after a character in the play Pygmalion by George Bernard Shaw, is generally known as the first chatbot.
Given the recent headlines about misuse of user information, I decided to go with my Android device and was prompted to download the app. Still, my initial foray into chatbots brought up the central issue of confidentiality. Can I trust Woebot with my most intimate and personal information the way I would a human? I read the privacy policy and decided to keep things light.
Studies and reports show that customers want quick, frictionless solutions to their problems and answers to their questions. No doubt there are acceptance issues for AI and chatbots. Some customers have always used traditional phone support and have a hard time accepting anything else. But, there is a growing contingent of customers who are increasingly open to new technology, especially if it can enhance their CX. As the technology improves and acceptance grows, chatbots, powered by AI, will have a strong role in customer service and support.
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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