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

AWS Machine Learning

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. Gartner’s Customer Service and Support Leader poll estimates that live channels such as phone and live chat cost an average of $8.01

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New KPI Metrics in the Era of Self Service

TechSee

Modern contact centers are made up of a complex combination of humans and virtual assistants – using both natural and artificial intelligence – operating over multiple channels and using a wide range of tools to solve customers’ issues. Customer care center metrics in the era of self-service clearly require a different approach.

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Call Deflection strategies in the age of self-service

TechSee

The goal is both to ensure customers receive the answers they are seeking in the most efficient manner and to reduce the number of inbound calls routed to human agents. Let’s explore four proven methods of boosting call deflection: User-friendly self-service channels. Now that’s true success! Proactive customer communications.

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The Insider Secret to Designing Virtual Agents that Surpass Your Competition

Speaker: Brian Morin, CMO & Mark Landry, VP of Product at SmartAction

In a world where top businesses are always battling for the best technology, you have to ensure that your virtual agent's design is the best in the competition. Schematics of successful interactions. How data + business logic keeps virtual agents in their "swim lane". But how do you do this?

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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. These virtual agents can automate routine tasks as well as seamlessly elevate complex interactions to a live agent.

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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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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. If it fits into one of these 5 categories, a live human agent should never handle it.

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Expectations vs. Reality: What Can an AI Assistant Really Do?

Speaker: Brian Morin, Helena Chen, and David Parsons from SmartAction

Today’s AI assistants are nothing like first-generation voicebots and chatbots that left most users frustrated and unwilling to interact with any kind of bot again. You’ll learn: The latest in self-service deployments over voice & chat through live demonstrations.

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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. In this webinar, Brian and Aarde will: Identify telephony interactions and volumes that meet thresholds for change.

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Start Every Conversation with AI: The Front Door for Intelligent Customer Service

Speaker: Brian Morin & Helena Chen from SmartAction

Self-service is on the rise. AI virtual agents can help resolve a lot of routine and repetitive interactions, but not all are created equal. Some customer service interactions require a human —but just because some calls must be transferred to a live agent doesn’t mean they can’t all begin with AI.

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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.