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Advances in Object Recognition Builds Trust in the Virtual Technician

TechSee

However, collecting and tagging masses of data can be a long, costly and painful process for an enterprise. Imagine that a company has several thousands of customer service agents, and that each of them captures 2-3 images during every technical support call, tagging each image with the device model and specific technical issue.

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11 Contact Center Technologies to Boost Customer Satisfaction

TechSee

Recognizing that continuously adding quality agents simply does not add up financially, more and more companies are turning to technology in order to scale quality support. Casengo is a cloud-based customer support software platform that enables companies to provide customer service through social networks, email or chat.

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Augmented Reality Remote Assistance – The Complete Guide

TechSee

Augmented Reality remote assistance takes this concept further by using AR and streaming videos to link the contact center and headquarters to the customer’s home or the field where the work is being performed, enabling agents to remotely solve hardware issues – seamlessly bridging the physical and virtual worlds.

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Rather face a dentist’s drill than hold for customer service? You’re in good company.

TechSee

Self-installation has emerged as a viable solution for both enterprises and consumers — providing self-reliance and flexibility to the consumer, and scalability and profitability for businesses. About TechSee : TechSee is the global leader in Visual Support technologies for the smart home.

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AI in Customer Service – How to Deliver Real Value Now

TechSee

as well as a PR blitz by some of the leading technology enterprises. That said, we have identified three areas of focus where AI has made significant strides in automating the customer support domain and is already providing value to enterprises. Virtual Agents.

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Computer Vision in the Call Center – The New CX Frontier

TechSee

Object recognition in a technical support model. For an enterprise to successfully implement a computer vision solution within its contact center, specific Deep Learning challenges must be overcome, and an effective strategy must be designed that takes into account the business case, available data, resources and desired output.

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The Future of Intelligent Decision Support Systems in Contact Centers

TechSee

Take, for example, one of the more complex issues handled in contact centers – technical support. Visual IDSS – Transforming Contact Centers of the Future. Successful enterprises are proactively shaping the CX by investing in innovative technologies that improve operational efficiencies and empower their human agents.