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Why Is Your Cloud Contact Centre Transformation Failing to Deliver?

CSM Magazine

This approach has already helped organisations achieve significant improvements in key metrics such as first-contact resolution rates, average handling times, and customer satisfaction scores. Key topics will include: Strategies for reducing annual operational costs by up to 4.2

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TechSee Brings Computer Vision AI and Augmented Reality Service Automation to Amazon Connect

TechSee

TechSee’s visual automation platform uses computer artificial intelligence (AI) and augmented reality (AR) to enhance customer and contact center engagements. TechSee’s Computer Vision AI and AR can improve issues facing customer contact centers around first-call resolution, average handling times, and truck roll avoidance.

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How To Manage The Average Handling Time (AHT) For Contact Centers?

NobelBiz

However, it is obvious that insufficient training, incompatible interfaces and other factors might result in an increase of Average Handling Time. The AHT is a KPI that contact centers always strive to improve. But, how is the Average Handling Time (AHT) calculated?

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7 Essential Tips for Reducing Average Handling Time

VocalCom

For this reason, average handling time, or AHT, is often considered an important metric to measure in the contact center, as agents strive to offer great customer service while keeping their interactions as short as possible. Keeping agents well-informed is essential to reducing average handling time.

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Unlocking insights and enhancing customer service: Intact’s transformative AI journey with AWS

AWS Machine Learning

Call processing and model serving Intact has on-premises contact centers and cloud contact centers, so they built a call acquisition process to ingest calls from both sources. Additionally, Intact was impressed that Amazon Transcribe could adapt to various post-call analytics use cases across their organization.

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How AI solutions for contact centres reduce costs and improve efficiency

Connect

In this way, AI augments contact centre capacity to support higher call volumes and serves as a tool to process calls faster, reducing average handling times (AHT) and improving first-call resolution (FCR) rates. AI super-charges agents.

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Mattress Firm’s Contact Center Rises and Shines – Improving QA Scores and Average Handle Time

NICE inContact

With average handle time (AHT) down by 21%, adherence up by 31% and QA scores up from around 50% to 70%, the positive impact on customer satisfaction is unmistakable. The post Mattress Firm’s Contact Center Rises and Shines – Improving QA Scores and Average Handle Time appeared first on NICE inContact Blog.