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Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
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Performance/Analytics: Used for monitoring website traffic and interactions
Whether a customer engages with an AI-powered bot or AI-empowered super-agent, intelligent technologies will monitor key metrics in real-time, such as averagehandlingtimes (AHT), first-contact resolution (FCR) rates, and call duration, among others, to make the contact centre more efficient and improve every measure of performance.
A constant monitoring of call queues, agent availability, and quality of service, helps in efficient allocation and utilization of resources based on current conditions. These tools can be used to address common or routine customer inquiries, reducing the need for human agents’ interference.
Also driving this trend is real-time analytics. For example, agents should have real-time access to their averagehandlingtime and target performance. If the agent can see which goals they are fulfilling and which require improvement, they may adjust their strategy in real time.
Also driving this trend is real-time analytics. For example, agents should have real-time access to their averagehandlingtime and target performance. If the agent can see which goals they are fulfilling and which require improvement, they may adjust their strategy in real time.
Your customers expect agents to understand their unique context, including: Why they contacted your organization The goal they are trying to achieve The steps they have already taken prior to contacting an agent. Compound enough poor quality interactions together and you may put customers at risk for churn.
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