Remove Chatbots Remove Data Remove Interaction Remove Self Service
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Understanding the Dynamics: AI Chatbots vs. Self-Service Portals in Contact Centers

Win the Customer

As technology evolves, two prominent solutions have emerged: AI-powered chatbots and self-service portals. AI chatbots and self-service customer service portals both offer unique advantages and challenges, prompting contact center leaders to navigate a landscape of choices.

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A Foundation for Exceptional Digital Self-Service Design

COPC

With digital self-service technology advancing at a phenomenal rate, why are interactions with chatbots and interactive voice response (IVR) systems still the sources of so many frustrating customer experiences? There are likely many reasons for this sentiment, including poorly designed IVR systems and chatbots.

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Build a self-service digital assistant using Amazon Lex and Knowledge Bases for Amazon Bedrock

AWS Machine Learning

Generative artificial intelligence (AI)-powered chatbots play a crucial role in delivering human-like interactions by providing responses from a knowledge base without the involvement of live agents. These chatbots can be efficiently utilized for handling generic inquiries, freeing up live agents to focus on more complex tasks.

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Self-service, AI Chatbots, Knowledge Management – How to Evaluate their ROI

Inbenta

Customer self-service ROI. When monitoring the performance of a self-service initiative, there are a variety of different KPIs to keep track of in order to allow ROI to be measured. How to calculate an AI chatbot’s ROI. Don’t forget bot installation cost. Identify eligible queries.

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The Health of the Contact Center: Are You Ready for 2019?

A survey of 1,000 contact center professionals reveals what it takes to improve agent well-being in a customer-centric era. This report is a must-read for contact center leaders preparing to engage agents and improve customer experience in 2019.

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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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Call Center Cost Reduction: Moving to Zero Call Resolution

InMoment XI

Yet, many of these calls could have been deflected through other channels like self-service or automated solutions. Take Action : Work with your CX teams to create in-channel experiences that resolve issues before reaching the service agents. Staffing Costs: Running a contact center is expensive.

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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.