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Improving customer routing in contact centers: An automated triage design based on text analytics by Noyan Ilk; Guangzhi Shang; Paulo Goes is a Business, Management and Accounting article available to read on EtoBox.
What is Improving customer routing in contact centers: An automated triage design based on text analytics about?
## Abstract We propose an automated triage design for intelligent customer routing in live‐chat contact centers and demonstrate its implementation using a real‐world data set from an S&P 500 firm. The proposed design emerges as a synthesis of text analytics and predictive machine learning methods. Using numerical experiments based on the simulation of the firm's contact center, we demonstrate the service level, time, and labor cost benefits of the automated design over two other triage designs (i.e., customer choice triage and human expert triage) that are commonly employed in the real world. Through additional analyses, we explore the generalizability of the automated design for creating solutions for different types of communication channels. Our work has implications for managing customer relations under emerging communication technologies (e.g., live‐chat, e‐mail, and social media) and more broadly for demonstrating the use of text analytics and machine learning to improve Operations Management practice.
Who reads Improving customer routing in contact centers: An automated triage design based on text analytics?
It is typically read by researchers, students, and practitioners in Business, Management and Accounting.
- Author
- Noyan Ilk; Guangzhi Shang; Paulo Goes
- Publisher
- Elsevier Science; Wiley (Blackwell Publishing); Elsevier BV; Wiley (ISSN 0272-6963)
- Published
- 2020
- Language
- EN
- Field
- Business, Management and Accounting (Social Sciences)