TechSee

APRIL 10, 2018

Driven by a need to improve the ever-evolving customer experience at scale, the customer care industry is rapidly moving to more digital, multichannel, self service first, automated service practices. Technology sales also generate additional service opportunities, upsells, longer term contracts, etc. –

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TechSee

JUNE 26, 2018

Super-Agent brings cutting-edge Augmented Reality (AR) technologies to customer care: He beams it to Field Services for technicians to use with smartphones, tablets and AR glasses, so they can supervise, consult and train remotely with visual tools. “Here I come to save the day…”. How does he do it?

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TechSee

MARCH 19, 2018

This has been proven to reduce agent training time and streamline the entire support process. Computer vision also enables gradual automation towards full self service with device recognition and augmentation. The post Computer Vision in the Call Center – The New CX Frontier appeared first on Techsee.

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TechSee

JUNE 25, 2019

These tools include call prioritization, customer identification, recommendation engines and smart agent monitoring and training. Agent training. Contact center decision makers understand that better tools are the key to reducing contact center training times. Agent decision support.

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NobelBiz

FEBRUARY 21, 2023

By optimizing resources, callbacks may smooth out calls during peak hours and balance your workflow. In many cases, the simple trick of implementing a callback system can take the pressure off the customer care department, eliminating the main cause of stress for both the agents and the clients.

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TechSee

AUGUST 28, 2018

AI technologies have successfully transformed customer care, using smart automation to provide win-win solutions for both customers and agents. These technologies empower agents with automation capabilities, allowing them to enhance their customer care reach. Customer Self-Service for convenience.

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NobelBiz

FEBRUARY 22, 2023

This is accomplished by tracking the different touchpoints a client has with the contact center, such as hold time, number of calls made, and other pertinent metrics from the self-service system. Metrics are then saved in your call center software’s database.

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