Category: Artificial Intelligence

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 […]

This year at re:Invent, Amazon Web Services (AWS) Business Applications and Contact Center solutions had a full line-up of opportunities to dive deep on customer experience innovation. Our customers and partners learned ways to unlock the power of artificial intelligence (AI) and machine learning (ML) for customer experience with new Amazon Connect launches. You were […]

Taking medications as prescribed is essential for any illness treatment. However, it can become confusing when there are multiple pills to be taken at different times of the day. This becomes more problematic for patients with mild cognitive impairment, Alzheimer’s or other kinds of dementia. Some medications are prescribed three times a day, while others […]

Today, Amazon Web Services (AWS) announces the general availability of Amazon Connect Voice ID, a Machine Learning (ML) powered voice authentication feature for Amazon Connect. Amazon Connect is an easy-to-use omnichannel cloud contact center that helps companies of any size deliver superior customer service at lower cost. Amazon Connect Voice ID offers both real-time caller […]

Agents are a core part of a contact centre. At peak times, they manage long queues and look through multiple systems for the information requested by their customers. During a call, agents may need to reconfirm information with the customer that they already gave in the Interactive Voice Response (IVR) system. This may include the […]

Customers engage with businesses using a multitude of contact channels like voice, messaging, web, and social media. Each interaction includes customer identification, verification, and understanding the intent. This is followed by servicing the contact intent using either automated or live assistance. The primary customer need is expedited assistance to resolve the reason for the contact. […]

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, […]

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 […]

As businesses increasingly use digital channels for customer service, they are more regularly turning to chatbots to deliver fast, positive customer experiences while reducing costs. Whether the customer has a question about a product feature, billing issue, or product return, an interactive chatbot helps them avoid wait times and get clear answers quickly. However, many […]

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, […]