Remove Customer Service Remove Examples Remove Self service Remove Virtual Agent
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Customer Self-Service: Pros, Cons, Examples

TechSee

Today, digital self-service has become the preference – and the new normal, along with higher expectations and reliance on these channels. The role of technology is more important than ever in improving customer service and operational efficiencies. Download our eBook: What Self Service Will Look Like in 2025 .

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Millennial Generation Customer Service – The Ultimate Guide

TechSee

This penchant for technology has shaped their consumer behavior and preferences, and brands must tailor their customer service strategies to suit Millennials’ attributes. They demand highly convenient and fast service. I’ll help myself, thanks: Called the Do-It-Yourself Generation, Millennials love self-service.

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Meet Zoom Virtual Agent, the next Evolution of Solvvy

Solvvy

Zoom Virtual Agent , an intelligent conversational AI chatbot solution, uses natural language processing and machine learning to accurately understand and painlessly resolve issues for customers. Zoom Virtual Agent works 24/7 on multiple support channels to deliver fast, personalized customer experiences.

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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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The 5 Categories That Rule Virtual Agents

Speaker: Brian Morin, CMO, Mark Landry, VP Product, Marilyn Cassedy, Director of Customer Success, SmartAction

It just so happens that whenever we design and deploy a new AI-powered virtual agent over voice, the self-service application invariably falls into one of 5 distinct categories. Join Brian Morin, Mark Landry, and Marilyn Cassedy of SmartAction, and learn how to streamline your customer service.

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Building a Cohesive Virtual Agent and Live Chat Solution

Creative Virtual

Virtual agents. Some of you may remember the days when companies wanting to implement customer support on their website believed they had to make a decision: either a virtual agent or live chat; either automated self-service or human-assisted web chat. By Mandy Reed, Global Head of Marketing.

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Create powerful self-service experiences with Amazon Lex on Talkdesk CX Cloud contact center

AWS Machine Learning

Contact centers are using artificial intelligence (AI) and natural language processing (NLP) technologies to build a personalized customer experience and deliver effective self-service support through conversational bots. This gives us the best of both worlds, enabling WaFd to serve its clients in the best way possible.”

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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.