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Amplify Customer Experience in Retail with Conversational AI

Lumoa

Not only are online retailers enjoying massive revenue from their customers (expected to be over $6 trillion in 2022 ), but the platforms themselves are also becoming increasingly sophisticated. The question for online retailers is: how can we embrace this trend and deliver for our customers? Incorporate a digital sales agent.

Retail 208
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Millennial Generation Customer Service – The Ultimate Guide

TechSee

According to Accenture , Millennials have overtaken Baby Boomers as the largest consumer demographic, expected to account for 30% of retail sales — that’s $1.4 I’ll help myself, thanks: Called the Do-It-Yourself Generation, Millennials love self-service. Self-service platforms. AI-powered virtual agents.

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Boost Growth and Lower Costs with AI and Cloud Contact Center Solutions

NICE inContact

Today, contact center leaders who embrace the cloud are quick to see its benefits – powering engaging customer experiences while positively impacting business outcomes. As contact centers continue to become drivers of business growth, there are significant quantitative and qualitative results to consider.

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How to Improve Contact Center Optimization with Customer Journeys

Pointillist

According to Forbes, poor customer service is costing businesses more than $75 billion a year. The pressure to reduce contact center costs is immense. But many contact center leaders struggle to achieve these outcomes while simultaneously improving customer satisfaction.

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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.

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Virtual Agents are Automating the Contact Center: Natural Language Greeting & Intent Capture

NICE inContact

With all of the new improvements and changes in modern day customer service technology, it’s no surprise that customer expectations have evolved to follow suit as well. This is the first of four ways that virtual agents are automating the contact center. fewer calls being transferred to live agents.

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Build an AI-powered virtual agent for Genesys Cloud using QnABot and Amazon Lex

AWS Machine Learning

The rise of artificial intelligence technologies enables organizations to adopt and improve self-service capabilities in contact center operations to create a more proactive, timely, and effective customer experience. The first step is to enable Amazon Lex V2 integration with Genesys Cloud. Configure Archy.