Remove CRM Remove Self service Remove Video
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Why Your Search Bar Isn’t Enough: The Real Difference Between a KnowledgeBase and a Knowledge Management System

CCNG

Its a common misconception – those tools may store information, but they fall short in delivering the right answers, actionable processes, and feedback loops for multi-channel support for both employees and customer self-service. Whats the Confusion? Lets clear it up.

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Computer Vision: The pathway to a personalized CRM experience

TechSee

Enterprise adoption of AI in CRM. In recent years, a wide range of AI technologies have been successfully integrated into the CRM domain, from sales and marketing to customer support and retention. while the agent can only see the CRM screen before him. No – computer vision.

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25 Call Center Technology Trends to Watch in 2021

Callminer

More Flexible Service Solutions. Consumers are looking for solutions to their problems across a range of channels, including digital and self-service, in ever-increasing numbers, thanks to pandemic pressures and storefronts closing. Video chat assistance is on the rise. Video customer service is coming.

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AI That Sees, Solves, and Scales: The Future of Customer Service

TechSee

Reduce Fiction with Visual AI for Troubleshooting – AI-driven image and video analysis helps agents diagnose issues remotely. Visual guidance further helps reduce service friction for both the agent and the customer. Seamless CRM, knowledge base, and ticketing integrations are three common examples.

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Millennial Generation Customer Service – The Ultimate Guide

TechSee

According to a Techsmith survey , Millennials are twice as likely to choose visual communication methods, such as screenshots, screencasts, or videos, compared with Baby Boomers. I’ll help myself, thanks: Called the Do-It-Yourself Generation, Millennials love self-service. Cloud-based, omni-channel CRM solutions.

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3 Ways to Improve your Customer Experience with Warm Transfers

TechSee

Jones calls to follow up, Alice already has the account information on the screen, including policy number, claim history, and the pictures of the damage Alice uploaded via a self-service wizard on the insurer’s website. Not only does Mr. Jones not have to repeat himself, but the insurer is already two steps ahead.

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Deploy self-service question answering with the QnABot on AWS solution powered by Amazon Lex with Amazon Kendra and large language models

AWS Machine Learning

QnABot allows you to quickly deploy self-service conversational AI into your contact center, websites, and social media channels, reducing costs, shortening hold times, and improving customer experience and brand sentiment. AI: "Amazon Lex is an AWS service for building conversational interfaces for applications using voice and text."