EconPapers    
Economics at your fingertips  
 

Customer Management

Kurt Y. Liu ()
Additional contact information
Kurt Y. Liu: University of Glasgow

Chapter 5 in Supply Chain Analytics, 2022, pp 113-162 from Springer

Abstract: Abstract In this chapter, we introduce customer management in supply chains. First, we discuss who the customers are in a supply chain, especially from a focal firm’s perspective. Then, we introduce the importance of understanding customers, the benefits of building a customer-centric supply chain, and a five-stage process of developing a customer-centric supply chain. We also demonstrate two important methods for understanding and segmenting customers, including cohort analysis and RFM analysis. Finally, clustering algorithms that can be used to effectively classify and segment customers are introduced, such as K-means, DBSCAN, and Gaussian Mixture.

Keywords: Customer management; Cohort analysis; RFM analysis; K-means; DBSCAN; Gaussian Mixture (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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:sprchp:978-3-030-92224-5_5

Ordering information: This item can be ordered from
http://www.springer.com/9783030922245

DOI: 10.1007/978-3-030-92224-5_5

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-23
Handle: RePEc:spr:sprchp:978-3-030-92224-5_5