<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>The quality of customer service determines the survival and development of logistics enterprises. In the highly competitive e-commerce field, it is necessary to continuously improve the customer service management level of logistics enterprises, and the application of big data can optimize customer service management of logistics enterprises in e-commerce. This paper analyzes the reasons for the low customer service satisfaction with domestic logistics enterprises in China, and then puts forward how to optimize customer service management of logistics enterprises in ecommerce based on big data in order to effectively promote the service quality of logistics enterprises. This study is contributing to the body of knowledge by developing a comprehensive framework to solve various e-logistics problems. Hence, the current study is helpful for e-logistics companies to mitigate e-logistic customer satisfaction problems.</p>
</abstract>

The quality of customer service determines the survival and development of logistics enterprises. In the highly competitive e-commerce field, it is necessary to continuously improve the customer service management level of logistics enterprises, and the application of big data can optimize customer service management of logistics enterprises in e-commerce. This paper analyzes the reasons for the low customer service satisfaction with domestic logistics enterprises in China, and then puts forward how to optimize customer service management of logistics enterprises in ecommerce based on big data in order to effectively promote the service quality of logistics enterprises. This study is contributing to the body of knowledge by developing a comprehensive framework to solve various e-logistics problems. Hence, the current study is helpful for e-logistics companies to mitigate e-logistic customer satisfaction problems.

A Brief Analysis of Logistics Customer Service Management

LOGI – Scientific Journal on Transport and Logistics

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"A Brief Analysis of Logistics Customer Service Management"}

The quality of customer service determines the survival and development of logistics enterprises. In the highly competitive e-commerce field, it is necessary...

A Brief Analysis of Logistics Customer Service Management

Online veröffentlicht: 17. Nov. 2023

Seitenbereich: 309 - 316

Eingereicht: 09. Juni 2023

Akzeptiert: 31. Okt. 2023

DOI: https://doi.org/10.2478/logi-2023-0028

Schlüsselwörter
Big data, logistics enterprises, customer service management, optimization measures

© 2023 Wei Chen et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

A Brief Analysis of Logistics Customer Service Management

Online veröffentlicht: 17. Nov. 2023

Seitenbereich: 309 - 316

Eingereicht: 09. Juni 2023

Akzeptiert: 31. Okt. 2023

DOI: https://doi.org/10.2478/logi-2023-0028

SchlüsselwörterBig data, logistics enterprises, customer service management, optimization measures

© 2023 Wei Chen et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
Big data, logistics enterprises, customer service management, optimization measures