Remove Average Handle Time Remove Call Center Solutions Remove Self Service Remove Technology
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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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ChatGPT in Service: Practical Innovation or Hype?

TechSee

The technology industry is abuzz with the latest breakthroughs in artificial intelligence. Primarily due to OpenAI’s heralded debut and innovative approach to packaging, they are making their latest technology easily accessible to the masses. Is Generative AI for Service Too Good to Be True? In a word, maybe.

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

TechSee

Conversely, when trying to improve NPS, agents would often spend additional time building relationships with their customers, driving up call durations. Recently, an innovative technology has emerged, transforming contact center operations and customer experience across a wide range of industries: Visual Assistance.

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When IVR meets Visual Assistance – Retaining the Lost Waiting Time

TechSee

IVR technologies are limited without sight. Interactive voice response (IVR) is a technology that allows a computer to interact with customers through the use of voice and touch-tone telephone keypad. Assisted Service. Visual assistance in IVR can be a force multiplier for human-assisted service. Self Service.

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10 Call Center Mistakes to Avoid when Striving for Effortless Experience

TechSee

Asking a customer to briefly describe their issue at the start of an interaction can enable companies to use NLP technology to instantly gauge the nature and urgency of the problem – in objective terms and in relation to the customer’s level of frustration. Shoddy self-service. Ignoring customers’ feelings.

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AI Customer Service: Today’s Most Transformative Technologies

TechSee

A Tata Consultancy Services survey found that 31.7% of major companies around the world are currently using AI customer service technologies, the second most common use of AI after IT. Customer-facing AI technologies.

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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.