Rich messages are more than important in while building a bot. In contrast to the plain text, rich messages offer a cleaner, simpler, more intuitive and informative, and effortless conversation flow. In this post, we will learn how to add rich message button response in Amazon Lex bot. Buttons are the most widely used form of rich messaging. Buttons make it much easier for users to navigate through your chatbot.
A chat-bot is, a robotic self learning and talking bot which imitate human conversation through text chats and voice commands (a good example being Siri or Amazon Alexa). Task Handling Chat-bot where you ask something and it execute that task in more easy manner. For example if you ask to book a table at a restaurant, or open website than it will perform the operation on your mobile, laptop and lands you at the page you ask, order the pizza for you A.I. based chat bots (learn over a period of time using Machine Learning techniques) -- dialog flow is an example of that Chat bots are mostly used for businesses will only increase as time goes by. No programming prior experience is required because Google Dialogflow is the platform where all the Machine learning algorithm get trained in back-end. Go to the Dialogflow Console.
Chatbots are not just the helpdesk assistants of the future, they are the helpdesks of the future. As a company that makes chatbots and has access to a tonne of data that repeatedly shows how chatbots are more effective than your typical customer service agent, we at Kommunicate believe that there will be only one channel of communication between you and your customers in the future -- chatbots. As more and more millennials become paying customers who prefer to talk to a computer rather than a real human being, adding a chatbot to your website is not just common sense, it is a matter of survival. But what if you already have a chatbot involved, which is taking care of all those customer conversations, doing a bit of lead generation for you, handling customer support, and even helping out the sales team. You must have got it all figured out and would now just have to sit back, sip iced tea (or coffee, if you prefer) and watch your business grow, right?
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Conversations with customers have become the need of the hour for businesses. Now we are witnessing a paradigm shift from mass-centered to granular, account-based approach. Banks and other financial institutions, who work closely with customers and rely heavily on customer relationships, have always leveraged technology to assist them. First, it was internet banking in the late 90s, then mobile banking when the smartphone revolution took over the world. Now, with the advent of AI and machine cognizance, conversational banking is on the rise. Conversational banking is nothing but communication between a bank and its customer through text, voice or visual interface. It adds that extra touch of personalization in customer relationships. Conversational banking, though highly effective, comes with the hardship of effective implementation given the sheer volume of customers banks serve (or any B2C business for that matter). That is why AI becomes extremely important in conversational banking.