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How will Visual Engagement Impact Your Contact Center? The KPI Deep Dive

TechSee

They have found that visual engagement and support have a dramatic effect on KPIs measured in every call center: NPS, FCR and Truck Rolls. The following article is the introduction to our contact center KPIs on visual support series. Customer Service KPI #1 – NPS (Net Promoter Score). The Rise of Visual.

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Infographic – AR in Customer Service

TechSee

This has proven to be especially beneficial in the areas of field service, contact centers and self-service. . Field service. This explains why best-in-class field service organizations are 72% more likely to utilize visual collaboration tools such as AR, over their peers. Contact Centers.

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Transform Your Phone Service Performance With These 4 Call Center Solutions (Part 1)

Stella Connect

Customers who can’t resolve an issue through self-service, or prefer a high-touch interaction, expect more from call center agents than ever before. Is your phone service performance where it needs to be? Avoid Being Crushed by Heavy Call Volumes. Is your call center QA process moving the needle?

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Computer Vision in the Call Center – The New CX Frontier

TechSee

Companies are increasingly turning to artificial intelligence (AI)-powered contact center solutions to meet consumers’ growing demand for better CX, reduce costs and alleviate pressure on agents. Computer vision also enables gradual automation towards full self service with device recognition and augmentation.

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The future of Co-browsing: 5 Trends to Watch

TechSee

He unboxed and installed all his newly-purchased connected devices and downloaded the software successfully. For example, while CSPs are eager to increase the usage of their self service apps, adoption has been relatively low (estimated as below 30%). Show, Don’t tell. Now all that’s left is to configure it all via the website.

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AI bringing efficiency, convenience and better decision-making to Customer Service

TechSee

AI can be highly effective in assisted service mode – to route customer inquiries, help agents interpret inputs, and assist the agent with decision support tools – or in self-service mode – where the customers interact exclusively with bots that are able to guide them to self-resolution – or even a hybrid of the two.