Tag: AI

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.

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 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 […]

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. […]

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 […]

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 […]

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 […]

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 […]

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. […]

Contact Lens for Amazon Connect provides a set of machine learning (ML) capabilities integrated into Amazon Connect. These capabilities enable businesses to analyze call recordings for customer sentiment, trends, and compliance of conversations. Contact center supervisors want real-time insights into customer experience issues while calls are in progress to provide proactive assistance to their agents. Historically, […]