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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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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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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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4 Golden Rules for Conversational AI Self-Service

Speaker: Brian Morin & Helena Chen from SmartAction

As automated self-service options continue to grow, how can you make sure that you and your organization are staying on track? You’ll hear real-world examples from leading companies and discover how you can deliver CX success with AI-powered virtual agents in your organization.

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5 Best Practices for AI Self-Service Without Compromise

Speaker: Tom Lewis, CEO of SmartAction

This means more and more companies are implementing cloud-based virtual agents that automate conversations traditionally handled by live agents, all of which can be done across several different channels. How to design “lanes” for virtual agents to outperform live agents. Tune in to discover: Where to start.

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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. How data + business logic keeps virtual agents in their "swim lane". But how do you do this? Schematics of successful interactions.

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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. This has been true for more than a hundred clients encompassing hundreds of use cases across 12 industries.

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Implementing Virtual Agents: Where to Start, and How to Finish

Speaker: Brian Morin, CMO, SmartAction & Aarde Cosseboom, Director of GMS Technology and Product, TechStyle Fashion Group

If this is a situation can you relate to, then join us for this in-depth conversation with TechStyle Fashion Group, as they openly discuss their decision to go virtual, and the challenges they faced along the way as they dabbled with both building the omnichannel self-service platform themselves, and outsourcing the design to a partner.

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

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

You’ll learn: The latest in self-service deployments over voice & chat through live demonstrations. How to modernize the self-service experience with an AI virtual agent that resolves issues conversationally. What's next in conversational AI that will push industries further than they've ever gone.

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How a Top 25 Most Trusted Brand Handed Their CX to AI

Speaker: Brian Morin, CMO, SmartAction & Patty Kleinfeldt, Director of Q&E, AAA

One of the most trusted brands in the world, AAA, took the most critical aspect of their Customer Experience and handed it over to an AI-powered virtual agent for omnichannel self-service. The secret of data + business logic to keep virtual agents in their "swim lane".

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How to Build ROI for Conversational AI

Speaker: Sofia Burton & Tiffany O'Malley from SmartAction

Agent attrition has always been a huge problem, but now the difficulties of the worker shortage make securing live agents for call centers highly competitive. Virtual agents are an expansion of your best live agent — and they can cut operating costs on average of 66%.