TechSee
MARCH 7, 2022
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 .
TechSee
MAY 28, 2019
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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AWS Machine Learning
FEBRUARY 6, 2023
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. is a global cloud contact center leader for customer-obsessed companies.
Talkdesk
SEPTEMBER 16, 2020
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.
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.
AWS Machine Learning
AUGUST 30, 2023
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.
Interactions
AUGUST 29, 2022
Virtual agents 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. .
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.
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. Real-world examples from 6 leading companies. In this webinar, you will learn: How to categorize interactions for AI applicability.
Speaker: Brian Morin, CMO, SmartAction & Aarde Cosseboom, Director of GMS Technology and Product, TechStyle Fashion Group
If you're not already using conversational AI, then you may be on the fence regarding their usefulness in the field, or perhaps you're unsure about how to implement it at your company. Why the performance of TechStyle's virtual agents rivals that of live agents. How TechStyle saved $1.1M in their first year afterwards.
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. Also joining is SmartAction, who manages the AI-powered CX for more than 100 brands.
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