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The Future of Intelligent Decision Support Systems in Contact Centers

TechSee

This article underlines the value of DSS in customer service and focuses on the potential computer vision brings to call/chat centers, where providing a positive customer experience (CX) at scale is critical to success in the current competitive business climate. Current state of DSS in contact centers.

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Next Issue Avoidance – How contact centers can preempt follow-up calls

TechSee

NIA is measured by tracking the number of repeat calls a contact center receives within a specific period of time. The metric is used in conjunction with standard metrics like Average Handling Time (AHT) and First Contact Resolution (FCR) which track the contact center agent’s speed and efficiency per call.

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AI Customer Service: Today’s Most Transformative Technologies

TechSee

Agents representing financial institutions or insurance companies can use biometrics to quickly authenticate customers while minimizing the risk of fraud. For example, the technology can identify patterns that indicate a customer’s intent based on web activity or text and route the call or chat to the appropriate agent. Gamification.

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New Data Reveals How Critical Customer Service KPIs are Enhanced by Visual Assistance Technology

TechSee

Data was collated from clients in sectors including telecom, consumer electronics, utilities, insurance, and medical technology. KPI #4: Average Handling Time (AHT). AHT measures the duration of each customer episode with the goal of ensuring contact center efficiency, planning headcount and reducing operational costs.