Category: Best Practices

Automating email parsing and analysis helps prioritize urgent matters, personalize responses, and identify sensitive information, improving customer experience and agent productivity. Implementing automated email processing solutions enables organizations to take appropriate actions based on the content, such as escalating important issues, sending automated responses, or avoid routing emails that don’t require a response, such as thank-you notes. Email analysis also allows for detecting intent, sentiment, keywords, and personally identifiable information (PII).

We will introduce how generative AI contributes to VoC (Voice of Customer) analysis in contact centers, particularly focusing on the advantages of methods using the latest LLM (Large Language Model) technology and their superiority when compared to conventional approaches.

ANA X leveraged its expertise and options to successfully migrate from an on-premises PBX-centric call center system to the cloud-based Amazon Connect. This article shares the background and successful experience, touching on the possibility for readers to realize system migration and operation on their own.

By using AWS’s efficient infrastructure, renewable energy, and optimizing resource utilization, organizations can significantly minimize their contact center operations’ carbon footprint.

Real-time media services running within virtual desktop infrastructure (VDI) environment, such as Citrix, can experience audio quality issues due to the resource intensive nature of processing the media on the server(s). Implementing Amazon Connect audio optimization for Citrix enables you to improve audio quality, reduce host server resources and lower cost per agent. VDI sessions […]

Introduction Contact center agents assist customers with topics that involve complex workflows. Within the Amazon Connect agent workspace, step-by-step guides support agents with clear instructions on how to handle a particular use case. Step-by-step guides are agent facing workflows that can branch based on decisions and send & receive data from external systems. Guides increase […]

Contact volumes and agent staffing in contact centers vary during the day. When there are more contacts than available agents, a queue holds contacts waiting to be answered by agents. A single queue to handle all incoming contacts maximizes service levels, and minimizes wait times. This is only possible when each agent can handle all […]

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 […]

Identity management is a framework of policies and technologies to ensure that the right users have the appropriate access to technology resources. Identity management for an Amazon Connect instance can be configured in one of the three ways: By storing users in Amazon Connect By linking to an existing directory By using SAML 2.0-based authentication […]