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The Future of Intelligent Decision Support Systems in Contact Centers

TechSee

Decision Support Systems (DSS) drive faster, smarter decisions based on objective data, rather than on subjective criteria or personal instinct. These systems are relevant for many verticals including healthcare, finance, weather prediction, call and chat centers, desktop apps, info kiosks and more. .

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When IVR meets Visual Assistance – Retaining the Lost Waiting Time

TechSee

Today, IVR is a core technology well entrenched in call centers that has transcended way beyond its role as a simple customer routing system. . Enabling image input into IVR shortens the entire process significantly: shorter average handling times (AHT), shorter call times, and best of all, an opportunity to wow customers.

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

TechSee

Powered by Computer Vision AI, these systems can now recognize devices, identify issues, suggest resolutions and provide step-by-step visual guidance to the customer, resulting in even faster and more efficient call resolutions and a more satisfying customer experience. KPI #4: Average Handling Time (AHT).

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AI Customer Service: Today’s Most Transformative Technologies

TechSee

Companies can use biometrics to verify warranties, ensuring that customers receive service for their devices without requiring them to save receipts or warranty documentation. Using biometrics, agents can recognize customers, and greet them in a personal manner. High-level data analysis. Process improvements.