AWS Contact Center
Tag: AI
CX Insights – Generative AI delivering results now
Generative AI is delivering real customer experience (CX) results in production at enterprise scale sooner than expected.
Optimizing your knowledge base for Amazon Q in Connect
A solid knowledge base has always been a crucial piece in effectively aiding agents in the contact center. Now with generative AI, well-structured, straightforward, and up-to-date knowledge bases are key to support generative AI assistants like Q in Connect in easily and effectively synthesizing your content. In this blog post, you will learn about Amazon Q in Connect, how it works, and how to optimize your knowledge base to maximize impact using our generative AI capabilities.
How contact center leaders can evaluate using generative AI for customer experience
Generative artificial intelligence (AI) is an area of interest for many businesses. Gartner estimates that by 2024, 40% of enterprise applications will have embedded conversational AI. In 2020, this number was less than 5%. At Amazon Web Services (AWS), our customers are often asking about how they can use generative AI across various business segments. […]
Amazon Connect adds new capabilities to improve contact center productivity and customer experiences
Amazon Connect Cases (Available in GA) Amazon Connect Cases is a new case management feature built into Amazon Connect that makes it easy for contact center agents to track, collaborate on, and resolve customer cases quickly. Case management is an essential aspect of customer service operations that enables contact center agents to reduce resolution time […]
Analyze Amazon Connect Chatbot performance using Contact Trace Record, Amazon Lex logs, Amazon Athena and Amazon QuickSight – Part 4
Note: This is the fourth blog in the Amazon Connect reporting blog series. If you haven’t read “Analyze Amazon Connect Contact Trace Record with Amazon Athena and Amazon QuickSight–Part 1”, we strongly recommend you do before proceeding further. Introduction Many organizations want the ability to generate chatbot performance reports for their digital customer experience offering. […]
Improve your customers experience by adjusting your agents’ availability status
Michael Goligorsky, Sr. Solutions Architect, Amazon Connect As organizations increasingly compete on the basis of great customer experience, contact center performance has become a critical business focus. Contact centers rely on agents to provide great customer service with every interaction. Without productive agents, you risk losing your customers, reputation, and revenue. Given this, it is […]
Provide call sentiment analytics to agents using real-time contact analysis segment streams in Contact Lens for Amazon Connect
Agent experience is a crucial aspect of contact centers and their interactions with end consumers define the customer experience of a business. In such a scenario, providing agents the right tools and information in a timely fashion is key to ensuring first call resolution, decreased average handling times and increased customer satisfaction score. Call sentiment […]
Easily remove duplicate customer records using machine learning with Amazon Connect
At the beginning of an interaction, contact center agents often spend time navigating between duplicate customer profiles across CRM, marketing, billing, shipping and ticketing systems. While the agent is finding the most accurate customer profile, the customer is waiting on a hold resulting in poor customer experience. As per a report by Experian, as many […]
How contact centers grow customer trust
Customer trust depends on the ability to consistently prove to your customers that they can rely on your brand, products, and people. Every engagement with your customers is a chance to build or break trust. That journey is a bumpy road. So, how do you build customer trust and ensure that it withstands time? After […]
Predict customer contact intent using AI and Amazon Connect
Customers engage with businesses using a multitude of contact channels like voice, messaging, web, and social media. Each interaction includes customer identification, verification, and understanding the intent. This is followed by servicing the contact intent using either automated or live assistance. The primary customer need is expedited assistance to resolve the reason for the contact. […]