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Verint Engagement Data Hub

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Description

Enhance the overall dialogue to elevate customer satisfaction and boost agent efficiency through the integration of Conversational AI, Natural Language Processing (NLP), and Robotic Process Automation (RPA). An omnichannel, AI-powered intelligent virtual assistant (IVA) fosters customer interaction while promoting higher rates of self-service and automation across various platforms, including IVR, web, and mobile. The U-Self Serve feature effectively diverts routine inquiries from costly human agents by utilizing Conversational AI. Implement seamless and ongoing agent verification through voiceprints to enhance customer confidence and mitigate contact center fraud risks. Continuously track agent identification throughout the entirety of their shifts and provide real-time alerts to supervisors if any identification discrepancies arise. Employ AI-driven, real-time call transcription to facilitate in-call notifications, support, and automate the agent's after-call work (ACW) summaries and dispositions, leading to heightened agent productivity and a significant reduction in time dedicated to ACW tasks. This streamlined approach not only improves the accuracy of records but also fosters a more efficient and effective service environment.

Description

The Verint Engagement Data Hub enables your contact center, branches, and online platforms to evolve into a highly efficient, data-oriented organization. Behavioral data accumulated during customer interactions is categorized as engagement data, encompassing everything from transcripts and recordings of conversations to surveys and customer feedback on their experiences. Additionally, it includes operational metrics related to each interaction, such as handle time, hold time, and quality scores. Engagement data can vary widely, covering metrics like average handle times as well as insights into customer sentiment and employee feedback. This wealth of information is vital for your organization, yet it frequently resides in isolated silos. To unlock the potential of this data for immediate, informed decision-making, it is crucial to establish connections between these disparate sources. By integrating these data streams, you can gain a comprehensive view of customer interactions and enhance overall operational efficiency.