AWS Machine Learning Blog
Category: Amazon Lex
Monitor operational metrics for your Amazon Lex chatbot
Chatbots are increasingly becoming an important channel for companies to interact with their customers, employees, and partners. Amazon Lex allows you to build conversational interfaces into any application using voice and text. Amazon Lex V2 console and APIs make it easier to build, deploy, and manage bots so that you can expedite building virtual agents, conversational […]
Deliver natural and efficient customer service experiences to mobile subscribers with Amazon Lex
Mobile service providers manage a high volume of customer service calls daily. Rapidly evolving network technology and device innovations are shaping customer expectations. Delighting callers with a quick interaction is core to a successful customer experience strategy. Mobile subscribers contact customer support for several reasons such as requesting a new SIM card, changing a plan, […]
Build conversational experiences for retail order management using Amazon Lex
Retailers want to stay engaged with their customers as they move seamlessly between digital channels and physical storefronts. By delivering personalized and consistent experiences across a range of retail touchpoints, companies can drive brand loyalty. Customers contact retailers’ customer support for reasons such as checking order status, updating shipping preferences, redeeming loyalty points, managing refunds, […]
Automate the customer service experience for flight reservations using Amazon Lex
As air travel starts to pick up in many parts of the world, digitization continues to transform the aviation industry. Airlines are working to reduce the number of touchpoints at the airport. Best practices have been implemented to minimize the number of physical interactions between employees and travelers. As a result, customer service is undergoing […]
Build conversational experiences for auto insurance using Amazon Lex
Auto insurance companies are focusing on digital innovations to meet customer needs. Digital-first engagements provide tailored coverage, transparent information, and seamless experiences. The shift to virtual channels for customer service that occurred during the pandemic is unlikely to revert to traditional channels for many customers. The change in consumer behavior continues to accelerate due to […]
How to approach conversation design: Getting started with Amazon Lex (Part 2)
As you plan your new Amazon Lex application, the following conversation design best practices can help your team succeed in creating a great customer experience. In our previous post, we discussed how to create the foundation for good conversation design. We explored the business value of good conversational design and provided some tips on building a team. We also talked about the importance of identifying use cases to create an informed foundation for your conversational interfaces. Throughout our series, we emphasize the importance of keeping the customer at the focus of your design process—this will improve the customer experience.
Build conversational experiences for credit card services using Amazon Lex
New trends are shaping the credit card industry as shopping habits have rapidly evolved over the last 18 months. The pandemic has accelerated the move away from cash towards cards. Card issuers are transforming their products to better serve cardmembers through innovations such as contactless payments and mobile wallet. The rapid change in consumer behavior […]
How to approach conversation design: The basics (Part 1)
Conversational interfaces have the potential to allow customers to interact more naturally with automated systems. From virtual assistants to concierge chatbots, conversational interfaces can bring convenience and personalization to customers at scale. However, these benefits depend not only on the technology that the Amazon Lex platform and other AWS services can provide, but also on […]
Build conversation flows with multi-valued slots in Amazon Lex
Multiple pieces of information are often required to complete a task or to process a query. For example, when talking to an insurance agent, a caller might ask, “Can you provide me quotes for home, auto, and boat?” The agent recognizes this as a list of policy types before continuing with the conversation. Automation of […]
Use Block Kit when integrating Amazon Lex bots with Slack
If you’re integrating your Amazon Lex chatbots with Slack, chances are you’ll come across Block Kit. Block Kit is a UI framework for Slack apps. Like response cards, Block Kit can help simplify interactions with your users. It offers flexibility to format your bot messages with blocks, buttons, check boxes, date pickers, time pickers, select […]