See the image of the Amazon Lex configuration interface. Configure the slots, the parameters you can define to capture inputs from your customer. In this module, we prepare the resource for the Lex Bot. For details of the instruction, please see the link on GitHub.įollow the GitHub example, Module 1: Build a chatbot in Amazon Lex and handle informational queries. In this step, we complete the first step of chatbot in Lex and enable it to answer customer's questions about the purchasing of an international phone plan while traveling. After that, we will use a little different two steps to complete the connecting with the Easiio website chatbot. We will follow the first two steps to create the Amazon Lex customer service bot. There are four steps in the sample from GitHub. This GitHub example demonstrates the use of the Amazon Lex customer service example configuration with either Twilio SMS integration or Amazon's own Amazon Connect. In this blog, we just follow the Amazon Lex customer service workshop example in the GitHub repository. Now, let's get start with the implementation of the Amazon Lex bot with Easiio web chat. For example, it can integrate with CRM, customer support software, and practically any service that provides API access, including the chatbot API such as Amazon Lex. It provides a very flexible application framework for integration with any third-party application using API. For the website chatbot and live chat interface. Easiio Webchat and Chatbot IntegrationĮasiio provides a cloud call center and website chatbot and live chat service. 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. In this blog, we will show how to use these BOT framework to build a chatbot using Amazon Lex as an example.Īmazon Lex is a service for building conversational interfaces into any application using voice and text. Many great bot frameworks available such as Amazon Lex, Microsoft Azure AI LUIS, Google DialogFlow, IBM Watson, etc. With a chatbot, companies can support customers 24/7 and 365 days a year without significantly increasing the cost. In the future, the mixture of AI chatbots with human customer service and sales will be adopted to reduce support costs and improve customer satisfaction. A chatbot can reduce the human support and sales work by moving repetitive tasks to be completed by machine, in this case, the AI chatbot. According to reports, over 80 percent of businesses are considering implementing a chatbot on their website in the near future. The chatbot is a hot topic these days as AI technology becomes better and better.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |