SaleMove
JANUARY 20, 2021
In our previous blog in The Times They Are a-Changing: Talent in the Contact Center Series , we discussed how virtual agents, or bots, are transforming the contact center workplace, pushing live human agents to become strategic troubleshooting experts and managers to become agent coaches. But what about the bots?
SaleMove
JANUARY 20, 2021
In our previous blog in The Times They Are a-Changing: Talent in the Contact Center Series , we discussed how virtual agents, or bots, are transforming the contact center workplace, pushing live human agents to become strategic troubleshooting experts and managers to become agent coaches. But what about the bots?
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TechSee
MARCH 19, 2019
Modern contact centers are made up of a complex combination of humans and virtual assistants – using both natural and artificial intelligence – operating over multiple channels and using a wide range of tools to solve customers’ issues. Customer care center metrics in the era of self-service clearly require a different approach.
BlueOcean
OCTOBER 4, 2023
Customer saves are a key metric, and we outperformed the previous partner, with nearly ten years’ experience under their belt, right out of the gate, realizing a nearly 5% increase in retention during our first quarter in production. The value of that improved metric plays a big role in the client’s bottom line.
UJET
NOVEMBER 3, 2020
A customer calling to ask about store hours, for instance, may be routed to a self-service option or Virtual Agent , while more complex queries will be routed to a human agent. After a call, agents spend extra time copying notes to your CRM tool. your agent can say, “I see you’re having trouble with X.
UJET
NOVEMBER 3, 2020
A customer calling to ask about store hours, for instance, may be routed to a self-service option or Virtual Agent , while more complex queries will be routed to a human agent. After a call, agents spend extra time copying notes to your CRM tool. your agent can say, “I see you’re having trouble with X.
Interactions
APRIL 14, 2021
From consumer lending to debt collection, machine learning is increasing the profitability of managing receivables, through streamlined services and data-driven insights that maximize returns on investment, while simultaneously improving customer experience.
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