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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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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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New KPI Metrics in the Era of Self Service

TechSee

With many of these channels and tools enabling self-service, old-school KPIs are no longer sufficient. When a virtual agent fields a customer’s enquiry, collects all relevant details and passes it to a human agent for final approval, how should average handling time ( AHT ) be measured? Call Deflection Rate.

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Deploy self-service question answering with the QnABot on AWS solution powered by Amazon Lex with Amazon Kendra and large language models

AWS Machine Learning

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.

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Optimizing Order Management: Best Practices for Automating Order Management

SmartAction

Businesses who thrive at building robust, complete customer journeys harness the power of automation to build self-service solutions in their order management strategy. This involves: Gathering Data : Utilize customer service logs, feedback surveys, and website analytics to understand your most frequent inquiries.

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Meet Sophie AI: The Future of Service

TechSee

Sophie’s Hub and Spoke Design The Sophie AI Brain Sophie AI is a centralized, multisensory brain that powers multiple service applications across the enterprise. link] These models can be used as part of your automated self-service Visual Journeys, through Sophie AI Assistant and the Sophie AI Agent.

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Beyond the AI Customer Service Hype: Practical Applications for Real Results

UJET

AI solves this problem by routing customers to the ideal customer service solutions quickly. A customer calling to ask about store hours, for instance, may be routed to a self-service option or Virtual Agent , while more complex queries will be routed to a human agent. AI Streamlines Agent Training.