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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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6 of the Best Apps for Remote Contact Center Teams

Fonolo

If you’re a smaller business with intentions to manage customer calls or inquiries, this is the set up for you. Substandard mobile apps and no video conferencing are some of its flaws but all in all, it’s a well-rounded software program that can help you connect with customers in more than 50 countries.

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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. Vodafone introduced its new chatbot?—?

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AI Customer Service: Today’s Most Transformative Technologies

TechSee

Facial recognition identifies and verifies an individual by comparing facial features from a digital image or video to a face database. Contact Center workload management. Computer vision AI technologies involve the processing and analysis of digital images and videos to automatically understand their meaning and context.