TechSee

JULY 17, 2018

Today, IVR is a core technology well entrenched in call centers that has transcended way beyond its role as a simple customer routing system. . Enabling image input into IVR shortens the entire process significantly: shorter average handling times (AHT), shorter call times, and best of all, an opportunity to wow customers.

Wait Times 114

Wait Times Self Service Meeting Call Center 114

TechSee

AUGUST 14, 2018

This article underlines the value of DSS in customer service and focuses on the potential computer vision brings to call/chat centers, where providing a positive customer experience (CX) at scale is critical to success in the current competitive business climate. Current state of DSS in contact centers.

Contact Center 95

Contact Center System Average Handle Time Virtual Agent 95

TechSee

OCTOBER 22, 2019

NIA is measured by tracking the number of repeat calls a contact center receives within a specific period of time. The metric is used in conjunction with standard metrics like Average Handling Time (AHT) and First Contact Resolution (FCR) which track the contact center agent’s speed and efficiency per call.

Contact Center 84

Contact Center Self Service Effort Score Average Handle Time 84

TechSee

JUNE 25, 2019

Companies can use biometrics to verify warranties, ensuring that customers receive service for their devices without requiring them to save receipts or warranty documentation. For example, the technology can identify patterns that indicate a customer’s intent based on web activity or text and route the call or chat to the appropriate agent.

Technology 122

Technology Customer Service Contact Center Gamification 122

TechSee

JUNE 11, 2019

Easier data verification: when visual proof is required, such as for billing disputes, promotional eligibility or warranty authentication, customers can simply show the agent their documents via their smartphone. KPI #4: Average Handling Time (AHT). Click here for the full report. Impact of Visual Assistance on AHT.

Self Service 117

Self Service Technology Customer Service Contact Center 117

TechSee

FEBRUARY 7, 2023

the engine under the hood of ChatGPT), Bard (powered by LaMDA, from Google), and others promise to be able to understand user intent, scrutinize all available documentation or information, and provide contextual answers to every user query. Unlike traditional flow-based AI, the large language modeling behind GPT3.5 (the In a word, maybe.

Innovation 124

Innovation Self Service Chatbots Call Center Solutions 124