Generative AI significantly improves customer service productivity, cutting onboarding time in half

WBOY
Release: 2023-04-26 13:01:08
forward
1300 people have browsed it

报告称生成式 AI 提高客服 14% 生产力,上手时间从 6 个月缩短至 2 个月

News on April 25, according to the latest report [PDF] released by the National Bureau of Economic Research (NBER),Generative artificial intelligence can be effective Improving employee productivity has the most obvious impact on employees in customer service departments.

报告称生成式 AI 提高客服 14% 生产力,上手时间从 6 个月缩短至 2 个月

The NBER report mainly investigated a Fortune 500 software company, and 5,000 customer service staff used a large-scale Generative Pre-trained Transformer (GPT) based on Open AI. The latest version of Language Models (LLM) builds tools to assist them in fulfilling their responsibilities.

报告称生成式 AI 提高客服 14% 生产力,上手时间从 6 个月缩短至 2 个月

#LLM monitors customer chats in real time and provides agents with suggestions on how to respond. According to the paper, this enables agents to respond faster, answer more chats per hour, and resolve chat issues more successfully.

The metric used in the report is the number of customer issues solved per hour, andfound that generative AI can make employees more productive by an average of 14%.

报告称生成式 AI 提高客服 14% 生产力,上手时间从 6 个月缩短至 2 个月

# IT House quoted the report as saying that generative artificial intelligence has greatly shortened the time for customer service to get started,Employees who have worked with artificial intelligence for 2 months, performs as well asemployees who have worked for 6 monthsbut have not used artificial intelligence.

The above is the detailed content of Generative AI significantly improves customer service productivity, cutting onboarding time in half. For more information, please follow other related articles on the PHP Chinese website!

Related labels:
source:51cto.com
Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn
Latest Downloads
More>
Web Effects
Website Source Code
Website Materials
Front End Template
About us Disclaimer Sitemap
php.cn:Public welfare online PHP training,Help PHP learners grow quickly!