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Process improvement: one size fits all? segmenting customer base for maximum returns

Published: 07 December 2003 Publication History

Abstract

Large corporations can achieve significant cost savings by developing and employing a sophisticated and continuously updated, billing and credit policy. Days of sale outstanding (DSO) is a major cost driver for corporations with large revenues, as this leads to an increased risk of default, increased dunning and collection costs, a non-optimal billing procedure with attendant costs and perhaps most importantly, an increase in the order-to-cash cycle time and the significant increase in hidden costs this implies. Segmentation of the customer base according to behavior and risk combined with the design of bespoke billing and credit policies suited to the behavior and risk associated with each segment, can lead to a significant decrease in the costs mentioned above. This paper illustrates the work done at Norway's largest telecommunication operator, Telenor, to address these issues using the continuous simulation methodology as well as other econometric tools.

References

[1]
Statistics Norway 2003. Folkemengd, etter kjønn, alder og sivilstand. 1. januar 2003.
[2]
Sternman, J. D., 2000. Business Dynamics: Systems Thinking and Modeling for a Complex World, Irwin McGraw-Hill.
[3]
Telenor 2003. Annual report 2002.
  1. Process improvement: one size fits all? segmenting customer base for maximum returns

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    cover image ACM Conferences
    WSC '03: Proceedings of the 35th conference on Winter simulation: driving innovation
    December 2003
    2094 pages
    ISBN:0780381327

    Sponsors

    • IIE: Institute of Industrial Engineers
    • INFORMS/CS: Institute for Operations Research and the Management Sciences/College on Simulation
    • ASA: American Statistical Association
    • ACM: Association for Computing Machinery
    • SIGSIM: ACM Special Interest Group on Simulation and Modeling
    • IEEE/CS: Institute of Electrical and Electronics Engineers/Computer Society
    • NIST: National Institute of Standards and Technology
    • (SCS): The Society for Modeling and Simulation International
    • IEEE/SMCS: Institute of Electrical and Electronics Engineers/Systems, Man, and Cybernetics Society

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    Winter Simulation Conference

    Publication History

    Published: 07 December 2003

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    WSC03
    Sponsor:
    • IIE
    • INFORMS/CS
    • ASA
    • ACM
    • SIGSIM
    • IEEE/CS
    • NIST
    • (SCS)
    • IEEE/SMCS
    WSC03: Winter Simulation Conference 2003
    December 7 - 10, 2003
    Louisiana, New Orleans

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    WSC '03 Paper Acceptance Rate 128 of 189 submissions, 68%;
    Overall Acceptance Rate 3,413 of 5,075 submissions, 67%

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