TechSee

MARCH 19, 2019

When a virtual agent fields a customer’s enquiry, collects all relevant details and passes it to a human agent for final approval, how should average handling time ( AHT ) be measured? Customer care center metrics in the era of self-service clearly require a different approach.

Self Service 146

Self Service Metrics Contact Center Virtual Agent 146

Pointillist

SEPTEMBER 28, 2021

Current systems and workforce often limit your ability to understand customers as they move across channels. The problem doesn’t improve once you get beyond the contact center where data is typically isolated within siloed systems. Compound enough poor quality interactions together and you may put customers at risk for churn.

Contact Center 40

Contact Center Customer Journeys Self Service How To 40

Playvox

MARCH 19, 2024

The Evolution of Contact Center AI Early uses of AI and machine learning (ML) showed up in call centers years ago in intelligent routing solutions and interactive voice response (IVR) systems. These “cutting-edge” technologies at the time helped managers better distribute and manage voice calls more efficiently. Powerful, right?

Contact Center 74

Contact Center Self Service Net Promoter Score Effort Score 74

NobelBiz

FEBRUARY 21, 2023

Also driving this trend is real-time analytics. For example, agents should have real-time access to their average handling time and target performance. If the agent can see which goals they are fulfilling and which require improvement, they may adjust their strategy in real time.

Call Center 52

Call Center Omni-Channel Trends Contact Center 52

NobelBiz

FEBRUARY 15, 2023

Also driving this trend is real-time analytics. For example, agents should have real-time access to their average handling time and target performance. If the agent can see which goals they are fulfilling and which require improvement, they may adjust their strategy in real time.

Call Center 52

Call Center Omni-Channel Trends Contact Center 52