AWS Contact Center

Tag: ML

Getting started with ML-powered Amazon Connect forecasting, capacity planning, and scheduling

Contact centers represent one of the most important touch points for businesses to resolve customer issues. When customers need assistance, it is critical for contact centers to have the right agents available to provide a positive customer experience. Ensuring the right agents are staffed at the right time requires contact center managers to consider an […]

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 […]

Automate follow-up work with Amazon Connect Tasks and Contact Lens for Amazon Connect

At the end of an interaction with a customer, agents have to create follow-up work items with other teams in order to provide the best end to end customer experience. Some examples include customer requests to mail specific product or services brochures, mailing a physical copy of a maintenance contract the customer has agreed on […]

Real-time customer insights using machine learning with Contact Lens for Amazon Connect

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, […]

Machine learning-based caller authentication with Amazon Connect Voice ID (preview)

To authenticate callers, contact centers often use a time-consuming process where callers have to answer multiple questions verifying their personal details, like social security number, date of birth, and mother’s maiden name. This process is costly, time-consuming, and leads to poor customer experiences. Amazon Connect Voice ID provides real-time caller authentication, which makes voice interactions […]

Machine learning-based customer insights with Contact Lens for Amazon Connect

Today, Amazon Web Services (AWS) announced the general availability of Contact Lens, machine learning powered contact center analytics for Amazon Connect. Amazon Connect is an easy-to-use cloud contact center that helps companies of any size deliver superior customer service at lower cost. With Contact Lens, supervisors and quality assurance managers can easily understand the sentiment, […]

Quickly set up remote contact center agents with Amazon Connect

For several years, knowledge workers have benefited from the ease of working from anywhere (offices or home). They usually have access to the right tools and technology (often a cell phone, laptop, and an internet connection) that allows them to leverage flexible work options. However, legacy contact center workers have not been so fortunate. They […]