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Customer self-service refers to customer-initiated interaction technologies that enable customers to access information and perform routine tasks without requiring the assistance of a live customer service representative. Drivers for customer self-service.
Interaction model The following are different customer experiences a caller may have depending on what they say and the transcription confidence scores returned by Amazon Lex: Conversation 1: VirtualAgent: Thank you for calling Acme Travel. VirtualAgent: In a few words, what is the reason for your call today?
Responses must be consistent and predictable Customer service deals with the same issues day in and day out. That means a Conversational AI solution for self-service has to deliver consistent, accurate answers every single time, no matter how many different ways the customer phrases the issue.
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.
Speaker: Brian Morin & Helena Chen from SmartAction
Self-service is on the rise. AI virtualagents 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.
Self-service is a hot topic in the call center industry. From knowledge bases to virtualagents, 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.
More customers are turning to company websites and apps for support, in some cases out of sheer desperation because they can’t get through to a contact centre agent and in other cases because they have been proactively directed there by the business. It’s also interesting to break down the virtualagent traffic by region.
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.
The key to making this approach practical is to augment human agents with scalable, AI-powered virtualagents 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
This means more and more companies are implementing cloud-based virtualagents that automate conversations traditionally handled by live agents, all of which can be done across several different channels. How to design “lanes” for virtualagents to outperform live agents. Tune in to discover: Where to start.
AI-powered virtualagents have come a long way since the days of “Press 1 for billing. Press 2 for enrolling in new energy service.” This allows AI-powered virtualagents to follow complex dialogue at the rate of normal conversation — yes, even alphanumerical interactions, the most challenging type to capture.
In today’s fast-paced business landscape, customer self-service has become a pivotal aspect of delivering exceptional customer experiences. As we look towards 2024, the world of customer self-service is at a crossroads, with new challenges and opportunities on the horizon. Key Trends in Customer Self-Service 1.
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 SelfService Will Look Like in 2025 .
Complex and inconsistent processes Citizens often struggle with navigating complex procedures, inconsistent service delivery, and unclear communication across different departments. Faster resolutions, reduced wait times, and more personalized service at a lower cost. The result?
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 virtualagents in your organization.
Enter a new era of customer service technology with NOVA, your Natural Omnichannel VirtualAgent design platform. With NOVA, managing your omnichannel virtualagent has never been faster or easier. Instant Call Flow Updates: update your call flows in real time!
These applications deliver a persistent and consistent user experience across all touchpoints to reduce customer effort and enhance the customer experience (CX) while increasing self-service automation. without the help of a live agent, salesperson, or other employee.
But as more and more companies are turning to conversational AI solutions to enable self-service automation over voice and chat, the analyst community has identified the need to create a distinct category for these cloud-based virtualagent solutions that mimic live agent behavior. Why SmartAction?
The leaders of this space have already explored how AI can improve your organization’s customer service (or support center). The results have shown boosted employee productivity, enhanced accuracy, and improved self-service containment rate.
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 virtualagent's design is the best in the competition. How data + business logic keeps virtualagents in their "swim lane". But how do you do this? Schematics of successful interactions.
Whether it’s using the self-checkout station or resetting your password, one thing is certain — customers love self-service. Either way, the demand for customer self-service options has been trending upwards in recent years and skyrocketed exponentially last year, largely in part due to COVID. Conclusion.
FORT WORTH, Texas, November 14 , 2023 SmartAction, a leading provider of AI-powered virtualagents for customer-obsessed brands, is thrilled to announce its recent recognition as the “Best Intelligent VirtualAgent Developer 2023 – USA” by New World Report in their prestigious Software and Technology Awards.
Say goodbye to the days of speaking to an AI virtualagent that doesn’t comprehend in natural language! SmartAction has been doing pretty amazing things in conversational AI self-service, and back in August, we showcased our new developments at ICMI’s virtual event. It doesn’t stop there.
Don’t worry, we’re not suggesting you double your workforce; we’re suggesting you give your agents a virtual sidekick. VirtualAgents are designed to be your human agents’ Pippen or Harrison or Gehrig (pick your sport). What, Exactly, Are VirtualAgents? Intelligence Is a Matter of Features.
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 virtualagent 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.
Don’t worry, we’re not suggesting you double your workforce; we’re suggesting you give your agents a virtual sidekick. VirtualAgents are designed to be your human agents’ Pippen or Harrison or Gehrig (pick your sport). What, Exactly, Are VirtualAgents? Intelligence Is a Matter of Features.
Voice Self-Service Has Become More Popular—and It’s About to Get Much Better. Some might say adoption grew because live agent support wasn’t much better and that using an IVR didn’t require waiting on hold, so it became a convenient habit. It takes both science and art to design and build an effective self-service environment.
Self-service in customer support is not just a trend anymore, it’s here to stay. This tendency, coupled with increasingly mature artificial intelligence (AI) technologies, has raised attention to the role and impact of virtualagents in contact centers and customer experience (CX). What is a virtualagent?
Making Self-Service More Intelligent View this article on the publisher’s website Omnichannel self-service solutions are a requirement for companies that want to deliver a cost-effective and consistently outstanding customer experience (CX). Intelligent virtualagents (IVAs)—a.k.a.
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.
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. The LLM-powered QnABot can also play a pivotal role as an automated real-time agent assistant.
Imagine yourself on a busy day trying to cancel an appointment and you keep getting put on hold waiting for a live agent. You know your task can be completed through self-service–it’s just a simple cancellation. You want to speak to a live agent to explain your situation and bypass business rules.
As you mentioned, we’ve been on this transformative journey with AI self-service over the voice channel for about 5 years now, and we’ve had a number of growing pains along the way. Pauline Aponte: We automate self-service for a number of interactions but the biggest would be in the area of reservations and rewards management.
I’ll help myself, thanks: Called the Do-It-Yourself Generation, Millennials love self-service. Support the DIY culture: Focus on consumer enablement and empowerment through self-service. Self-service platforms. AI-powered virtualagents. Personalization. Know your customer.
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 virtualagent that resolves issues conversationally. What's next in conversational AI that will push industries further than they've ever gone.
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 virtualagents can automate routine tasks as well as seamlessly elevate complex interactions to a live agent.
Virtualagents have come a long way. And while some companies are certainly still using automated systems from the dark ages, forward-thinking brands have taken advantage of advancements in technology for big steps forward in customer experience self-service. . But what’s next? Here’s what we found out. .
Zoom VirtualAgent , an intelligent conversational AI chatbot solution, uses natural language processing and machine learning to accurately understand and painlessly resolve issues for customers. Zoom VirtualAgent works 24/7 on multiple support channels to deliver fast, personalized customer experiences.
CX innovation In response, contact centre operators are leveraging AI to craft conversational experiences with basic chatbots and more advanced virtualagents , driving the rise of immersive digital customer experiences (CX). By analysing sentiment and intent, AI-powered virtualagents can field more complex tasks and requests.
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 virtualagent for omnichannel self-service. The secret of data + business logic to keep virtualagents in their "swim lane".
Where AI can help your self-service option is by learning from customer inquiries as you go. This leads to generative or conversational AI solutions that offer the best in self-service like Five9, Poly.ai, and others. Let’s take modern chatbots for example. This is an example of static data.
If you give visitors to your website the option to self-serve with a chatbot or virtualagent, kudos to you for recognising the importance of easily accessible digital support! Both current and potential customers appreciate being able to engage with automated self-service anytime, anywhere.
Self-Service Is the Channel of Choice—When It Works. For companies that have been trying to offload customer inquiries and interactions to self-service solutions for decades, there’s great news: Self-service is becoming the customer channel of choice. AI and Self-Service.
Use Technology for SelfService. For instance, IVRs and artificial intelligence enabled Chatbots can make the customer service easier and efficient. Chatbots which work like virtualagents can solve basic query and transfer a call to ‘live agents’ in case of escalation.
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. Virtualagents are an expansion of your best live agent — and they can cut operating costs on average of 66%.
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