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Global E-commerce Market Segmentation by Using Fuzzy Clustering

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Industrial Engineering in the Internet-of-Things World (GJCIE 2020)

Part of the book series: Lecture Notes in Management and Industrial Engineering ((LNMIE))

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Abstract

Customer segmentation is essential for marketing, communication, and even operations management activities. E-commerce provides the data required for novel perspectives to customer segmentation. In this study, we focus on customer segmentation based on purchase variety. To this end, first, the data is preprocessed, and the optimal customer number is detected. Then the fuzzy c-means algorithm is applied, and the segments are formed.

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Author information

Authors and Affiliations

  1. Industrial Engineering Department, Management Faculty, Istanbul Technical University, Istanbul, Turkey

    Basar Oztaysi

  2. Modanisa.Com Head Office, Altunizade, Kuşbakışı Cd. No: 27/1, 34662, İstanbul, Turkey

    Mert Kavi

Authors
  1. Basar Oztaysi
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  2. Mert Kavi
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Corresponding author

Correspondence to Basar Oztaysi .

Editor information

Editors and Affiliations

  1. Department of Industrial Engineering, Istanbul Technical University, Istanbul, Turkey

    Fethi Calisir

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Oztaysi, B., Kavi, M. (2022). Global E-commerce Market Segmentation by Using Fuzzy Clustering. In: Calisir, F. (eds) Industrial Engineering in the Internet-of-Things World. GJCIE 2020. Lecture Notes in Management and Industrial Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-76724-2_18

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  • DOI: https://doi.org/10.1007/978-3-030-76724-2_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-76723-5

  • Online ISBN: 978-3-030-76724-2

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