AWS Contact Center
Tag: learning
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. […]
How contact centers grow customer trust
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 […]
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 […]