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Optimizing AI Agent Experiences: Leading Providers, Gaps, and Human Support Strategies

eglobalis

However, despite significant advances, todays AI agents cannot yet resolve every issue or replicate the human touch. Technologies such as sentiment analysis and contextual AI allow agents to adapt responses based on user frustration levels, previous interactions, and emotional cues.

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New KPI Metrics in the Era of Self Service

TechSee

Once upon a time, measuring customer service success was straightforward. Hire some agents, train them, and use standard contact center KPIs to measure how well they perform. With many of these channels and tools enabling self-service, old-school KPIs are no longer sufficient. New Self Service KPI Metrics.

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Generative AI in Contact Centers: The Tech and Use Cases Driving a Revolution in Customer Service

Calabrio

This frees agents to concentrate on complex, high-value interactions, accelerating resolution times and driving down operational costs. Smarter customer experiences, more personalized self-service: Intuitive self-service options can at last become a consistent reality, allowing customers to find solutions quickly and independently.

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A Complete Guide to Customer Service Automation

Comm100

Understanding Customer Service Automation Customer service automation is the use of technology to simplify and improve how businesses assist their customers. Another key feature of customer service automation is self-service options. Request a demo today Request Demo 3.

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The Post-Covid CX Powered by AI

Speaker: Brian Morin, CMO, SmartAction & Aarde Cosseboom, Director of GMS Technology and Product, TechStyle Fashion Group

Adapting to a post-COVID world means recession-proofing your contact center with AI that reduces reliance on live agents with virtual agents that are always on, perfectly trained, and at a fraction of the cost. Also joining is SmartAction, who manages the AI-powered CX for more than 100 brands.

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3 ways virtual agents can boost call center efficiency

Talkdesk

Self-service is a hot topic in the call center industry. From knowledge bases to virtual agents, the potential disruption that a solid set of self-service applications can bring to contact center efficiency and customer experience is unquestionable and justifies all the buzz.

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Reduce call hold time and improve customer experience with self-service virtual agents using Amazon Connect and Amazon Lex

AWS Machine Learning

One solution is to have enough trained agents available to take all the calls right away, even during times of unusually high call volumes. The key to making this approach practical is to augment human agents with scalable, AI-powered virtual agents that can address callers’ needs for at least some of the incoming calls.

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6 Killer Applications for Artificial Intelligence in the Customer Engagement Contact Center

If Artificial Intelligence for businesses is a red-hot topic in C-suites, AI for customer engagement and contact center customer service is white hot. This white paper covers specific areas in this domain that offer potential for transformational ROI, and a fast, zero-risk way to innovate with AI.