Tag: #contactcenter

The quote, “Not everything that matters can be measured, and not everything that can be measured matters,” highlights the challenge of selecting appropriate metrics and reports to gauge your success. This is especially true for contact centers. Success in contact centers requires analyzing standard metrics like average hold time (AHT) or abandonment rate and customizing […]

The customer experience landscape is rapidly evolving, driven by rising expectations and technological innovations like generative artificial intelligence (AI). At Amazon Web Services (AWS), we are committed to empowering businesses to deliver exceptional customer service and experiences. This year, we are thrilled to be a sponsor of Customer Contact Week 2024, one of the most […]

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.

In the context of a transfer call scenario from a contact center, the company’s provisioned phone number is typically the outbound caller ID. However, certain scenarios require preserving the original caller ID throughout the transfer process, allowing the receiving party to identify the initial caller. Amazon Connect provides flexible outbound calling capabilities through queues. The […]

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 […]

Introduction Organizations often struggle to gain a complete view of their agents’ performance. This is due to the large volume of interactions and the various channels through which they communicate with customers. Additionally, filtering relevant data points for performance analysis can be a difficult task. Fortunately, Contact Lens for Amazon Connect offers agent performance evaluation […]

Introduction Contact center managers are always looking for ways to reduce the time callers spend in a queue waiting for available agents. Providing a callback option significantly improves the customer experience and optimizes the operational costs of your contact center. Callback capabilities are offered natively with Amazon Connect. Callers leave their phone number so the […]

Introduction To get the most advanced analytics benefits, organizations need a robust platform and a cost-effective solution to run a thriving contact center. This is achieved by building a data lake on Amazon Simple Storage Service (S3). Amazon Connect Data Lake Best Practices whitepaper lays out the various data sources within Amazon Connect, and steps […]

Many contact center managers want to proactively reach out to more customers by leveraging high-volume voice, SMS and email capabilities to keep them engaged, informed, and on schedule for appointments, bill payments, or other events and activities. The vast majority of these communications are phone calls, and in many contact centers, agents make the calls […]

Note: This is the third 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 Organization that offer web chat as a communication channel strive to get insights into their customers’ […]