TechSee

OCTOBER 22, 2019

Contact centers are perfectly placed to predict imminent customer queries. With 40% of all calls considered “next issues” following initial contacts, NIA is now a critical strategy for reducing customer effort, reducing pressure on contact centers and increasing loyalty. NIA: The balancing metric.

Contact Center 84

Contact Center Self Service Effort Score Average Handle Time 84

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

JUNE 11, 2019

Conversely, when trying to improve NPS, agents would often spend additional time building relationships with their customers, driving up call durations. Recently, an innovative technology has emerged, transforming contact center operations and customer experience across a wide range of industries: Visual Assistance.

Self Service 117

Self Service Technology Customer Service Contact Center 117

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. Utilizing robotic process automation (RPA) in contact centers has been proven to reduce costs and increase operational efficiencies.

Technology 122

Technology Customer Service Contact Center Gamification 122

TechSee

JULY 17, 2018

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. The process of visual integration. During the IVR conversation, the customer is requested to upload an image or video.

Wait Times 114

Wait Times Self Service Meeting Call Center 114

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