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Additional metrics to consider include: NPS scores First response time (FRT) Abandon rates Hold times Average Handle Time (AHT) 4. Focus efforts on the most pressing concerns It can be easy to get lost in the sheer number of customer interactions when trying to determine where to focus improvement efforts.
Computer Vision AI-Based Self-Service. AI is reshaping the enterprise approach to self-service. AI enhances existing self-service capabilities, such as smart FAQ and IVR, with the new cognitive capabilities in chatbots or virtualagents.
The main purpose of the traditional IVR system is to act as a self-service option that enables customers to help themselves to quick solutions, while increasing the containment rate by avoiding transfers to live agents, thereby freeing them up to handle more strategic or complex enquiries. Press 2 to speak to a representative.
As NLP, ML, and conversational AI evolved, modern contact centers embrace AI-powered chatbots, virtualagents or assistants, voice recognition, and other tools to deliver self-service options to customers. AI can then assist the analyst to score and provide feedback. But there’s more.
Your platform can take the initiative on outbound calls, helping your team sort through hundreds of prospects to find the people most likely to want your services or products. Through friendly interactions, your virtualagent can ensure that your live agents speak with the most qualified leads.
Initiatives include “training staff for interactions in new channels, optimizing AI and self-service opportunities and improving integrations between touchpoints.”. The amount of effort, resources and cost necessary to achieve a comprehensive and effective omnichannel strategy are staggering. Which behaviors impact key metrics?
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