Average Handle Time Innovation Virtual Agent 
NICE inContact
OCTOBER 12, 2018
This is the first of four ways that virtual agents are automating the contact center. Numerous internal transfers lead to increased and lengthy average handling times for live agents, which can be incredibly expensive for companies. fewer calls being transferred to live agents.
AWS Machine Learning
MARCH 31, 2023
This would eliminate hold times and ensure that callers receive fast responses. 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. per contact, while self-service channels cost about $0.10
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NICE inContact
SEPTEMBER 17, 2019
Designer Shoe Warehouse, better known as DSW, continues to find innovative ways to capitalize on that universal truth and keep customers coming back for more. By combining NICE inContact with SmartAction’s AI-powered virtual agent, DSW ultimately found the right human-machine balance without compromising an ounce of CX.
UJET
DECEMBER 10, 2020
Don’t worry, we’re not suggesting you double your workforce; we’re suggesting you give your agents a virtual sidekick. Virtual Agents are designed to be your human agents’ Pippen or Harrison or Gehrig (pick your sport). What, Exactly, Are Virtual Agents? Intelligence Is a Matter of Features.
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This white paper covers specific areas in this domain that offer potential for transformational ROI, and a fast, zero-risk way to innovate with AI. If Artificial Intelligence for businesses is a red-hot topic in C-suites, AI for customer engagement and contact center customer service is white hot.
UJET
DECEMBER 10, 2020
Don’t worry, we’re not suggesting you double your workforce; we’re suggesting you give your agents a virtual sidekick. Virtual Agents are designed to be your human agents’ Pippen or Harrison or Gehrig (pick your sport). What, Exactly, Are Virtual Agents? Intelligence Is a Matter of Features.
AWS Machine Learning
OCTOBER 16, 2024
Call Quality Trend Dashboard The following figure is an example of the Call Quality Trend Dashboard, showing the information available to agents. This includes the ability to filter on multiple criteria including Dates and Languages, Average Handle Time per Components and Unit Managers, and Speech time vs. Silence Time.
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