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How to optimize customer service costs with visual assistance

TechSee

Visual assistance allows users to instantly stream their mobile device camera or screen via web connection, for real-time, interactive visual engagement. Assisting customers using visuals can add efficiency and significantly cut costs in three areas of customer service: the contact center. field services. self-service.

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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. . A range of emerging technologies have effectively transformed IVR from a frustrating customer waiting experience to an effective process with self service capabilities.

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How to use your CRM to improve phone sales and service

Vonage

The term is used to describe solutions that, for example, allow a sales rep to simply click on a contact to place a call, or help someone who’s calling your business “press 2” to reach customer service. So what should you look for when selecting a CTI adapter and call center solution?

CRM 120
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New Data Reveals How Critical Customer Service KPIs are Enhanced by Visual Assistance Technology

TechSee

The technology is currently evolving, enabling virtual assistants to offer customers the option of full self-service. Elimination of unnecessary tech dispatches: by empowering customers to self-resolve issues, the frustration of waiting for a technician visit is often avoided. KPI #4: Average Handling Time (AHT).

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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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4 AI Trends that will Transform the Telecom Industry in 2019

TechSee

An innovative solution by AT&T is using AI to support its maintenance procedures: the company is testing a drone to expand its LTE network coverage and to utilize the analysis of video data captured by drones for tech support and infrastructure maintenance of its cell towers. TOBi to handle a range of customer service-type questions.

Industry 100
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AI Customer Service: Today’s Most Transformative Technologies

TechSee

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. Intent prediction enables call centers to up their game by giving customers the assistance they need in the way they want it. Emotion analytics. Gamification.