I am a customer of Amazon Lex, which is a conversational AI technology. I work as a software developer in a multinational company called EPAM Systems India Private Limited. I work as a developer, and our daily work involves integrating this service with other services such as Amazon Connect. Our task is to integrate Amazon Lex with Amazon Connect. The usual use cases for Amazon Lex that I work with involve it being a conversational AI used in both chatbots and voice bots. The clients that reach out to us sometimes require the natural language AI to be integrated in their IVR system, and sometimes they require Amazon Lex to be integrated in their chat systems.
Amazon Lex is mainly used for chatbot functionality, and we can chat with the customers as per the requirements they provide with intents and utterances.
We have built an Enterprise Chatbot Foundation Platform. We built a B2C Chatbot Solution for retailers users and HR chatbots for employee Self Service functions. These functions included: For the B2C chatbot: * The key objective was to bring down call center traffic with the chatbot * Weekly 25,000 unique users interact with bots every week * 78% of traffic rate Chatbot as 5-Stars * Delivering a delightful CX to end-users * Feedback and Recommendation captured * Product containers and accessories * Sales (coupons and discounts) * Order status and notification * Recipe related queries * Live agent feature * Order tracking number * Call back IVR integrations * CRM integrated curated offerings For the HR Self Service chatbot: * HR Chatbot hosted on SharePoint * Offers self-service chatbot * HR help and questions * Benefits and well-being * Health policies and claims * 30+ entities (20 sub-menus: visible) * Feedback (capture feedback) * Mood elevator (9 moods) * Service ticket creations * Huge impact during the Covid-19 pandemic * Addressed 5000+ requests * Covid-19 related FAQ and policies
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...
I am a customer of Amazon Lex, which is a conversational AI technology. I work as a software developer in a multinational company called EPAM Systems India Private Limited. I work as a developer, and our daily work involves integrating this service with other services such as Amazon Connect. Our task is to integrate Amazon Lex with Amazon Connect. The usual use cases for Amazon Lex that I work with involve it being a conversational AI used in both chatbots and voice bots. The clients that reach out to us sometimes require the natural language AI to be integrated in their IVR system, and sometimes they require Amazon Lex to be integrated in their chat systems.
Amazon Lex is mainly used for chatbot functionality, and we can chat with the customers as per the requirements they provide with intents and utterances.
I used the solution for a project. I used it to create a chatbot for our company’s customer support.
We have built an Enterprise Chatbot Foundation Platform. We built a B2C Chatbot Solution for retailers users and HR chatbots for employee Self Service functions. These functions included: For the B2C chatbot: * The key objective was to bring down call center traffic with the chatbot * Weekly 25,000 unique users interact with bots every week * 78% of traffic rate Chatbot as 5-Stars * Delivering a delightful CX to end-users * Feedback and Recommendation captured * Product containers and accessories * Sales (coupons and discounts) * Order status and notification * Recipe related queries * Live agent feature * Order tracking number * Call back IVR integrations * CRM integrated curated offerings For the HR Self Service chatbot: * HR Chatbot hosted on SharePoint * Offers self-service chatbot * HR help and questions * Benefits and well-being * Health policies and claims * 30+ entities (20 sub-menus: visible) * Feedback (capture feedback) * Mood elevator (9 moods) * Service ticket creations * Huge impact during the Covid-19 pandemic * Addressed 5000+ requests * Covid-19 related FAQ and policies