Customer service robot model based on e-commerce dual-channel channel supply coordination and compensation strategy in the perspective of big data

Changhao Zhang () and Mengyu Ren
Additional contact information
Changhao Zhang: Henan University of Animal Husbandry and Economy
Mengyu Ren: Henan University of Animal Husbandry and Economy

International Journal of System Assurance Engineering and Management, 2023, vol. 14, issue 2, No 10, 601 pages

Abstract: Abstract In order to improve the customer service effect of e-commerce customer service robots, this paper combines the compensation strategy of dual-channel supply chain coordination of e-commerce with the big data perspective to complete the function and system analysis of e-commerce customer service robots. In the study of the dual-channel supply chain, this paper considers the difference between online channels and traditional channel service experience, and uses the dual-channel service competition model to improve the performance of customer service robots. Aiming at the characteristics of online channel service experience and service model, this paper analyzes the model of a single online channel and the dual-channel supply chain model composed of online direct sales channels and traditional single retailer channels. In addition, this paper constructs the customer service robot system structure and uses experiments to verify its performance. The research results show that the algorithm system proposed in this paper is reliable.

Keywords: Big data; e-commerce; Dual-channel supply chain coordination; Compensation strategy; Customer service robot (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s13198-021-01325-2 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:ijsaem:v:14:y:2023:i:2:d:10.1007_s13198-021-01325-2

Ordering information: This journal article can be ordered from
http://www.springer.com/engineering/journal/13198

DOI: 10.1007/s13198-021-01325-2

Access Statistics for this article

International Journal of System Assurance Engineering and Management is currently edited by P.K. Kapur, A.K. Verma and U. Kumar

More articles in International Journal of System Assurance Engineering and Management from Springer, The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().