Category: Learning Levels

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.

Agents play a crucial role in providing an exceptional customer experience. In a high-performing contact center, agents are superhuman — they get where the customer is coming from, know their stuff, and fix issues right away. When this happens, customers feel valued and stay loyal. Agents make up more than 70% of contact center operating […]

Companies often add self-service capabilities to their websites or mobile applications, such as frequently asked questions (FAQs) or knowledge articles, to help customers address their queries. When that customer escalates to a live agent for help, they are often asked to repeat the same information they may have entered or browsed on the app or […]

Organizations use contact centers to answer inbound calls and initiate outbound communication to their customers. Use cases for outbound communications include appointment reminders, telemarketing, subscription renewals, billing reminders, and follow-up calls. Customer preferences determine the communication channel (voice, messaging, or email) used in outbound campaigns. Contact center managers often use different applications for each channel […]

Enterprise contact centers have performance objectives (service levels, agent occupancy, average speed to answer) to ensure a high-quality customer service. The methods used to route incoming contacts have a direct influence on these performance metrics. Amazon Connect makes it possible to route contacts based on objectives that are important to the business. Part 1 of this […]

Organizations are increasingly using speech recognition to create powerful conversational interfaces in the contact center, enabling self-service, user identification, and caller authentication based on users’ spoken natural language. These capabilities create delightful experiences for the user and improve containment rates and customer satisfaction scores. Oftentimes, in order to authenticate callers, organizations typically must collect alphanumeric […]

Often, contact center agents need to handle complex issues that require multiple interactions, research, and detailed tracking and notation of next steps and status. For example, IT organizations need to be able to track troubleshooting steps, milestones, actions taken, and results of actions. Case management tools provide a solution that consolidates history of a specific […]

Often contact center agents struggle to locate customer information that is stored in disparate locations. As a result they end up asking the customers to repeat their details, resulting in longer average handle times (AHT). These interactions, also need to be tracked along with detailed notes, next steps, and status of the issue at hand. […]

Contact centers face a challenge of having to constantly improve on the contact center experience based on customer feedback. In order to so, it is important that contact centers collect reliable and measurable data. Contact centers can implement post chat customer satisfaction surveys that allow for actionable feedback on user experience and agent performance. Customer […]

Single sign-on (SSO) is an authentication mechanism that allows users to access multiple applications securely with a single set of credentials. Users no longer need to remember multiple usernames and passwords, allowing them to maintain a singular experience for authenticating into multiple applications. Contact Centers applications are no different and require the ability to utilize […]