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Analysis of Loyal Customers Considering Diversity of Customers

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Social Computing and Social Media (HCII 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14025))

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Abstract

In recent years, the Japanese electronics retail store business has continued to develop, and sales promotion activities tailored to customer preferences have become necessary. This study analyzes the relationship between customers and products using ID-POS data of an electronics retail stores. We use pLSA, a clustering method, since it can cluster customers and products at the same time, it is easy to grasp the relationship between them. Based on the result of pLSA sales promotion activities for representative products are discussed using the indicators of loyal customers and recurring purchase.

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References

  1. Ministry of Economy, Trade and Industry in Japan, “Sales by product at large electronics specialty stores and year-on-year (degree, same period, same month) comparison”

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Acknowledgment

We thank an electronical retail company of Japan for permission to use valuable datasets. This work was supported by JSPS KAKENHI Grant Number 21H04600 and 21K13385.

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Authors and Affiliations

  1. Graduate School of Science and Engineering, Chuo University, 1-13-27, Bunkyo-Ku, Kasuga, 112-8551, Tokyo, Japan

    Tomoki Yoshimi

  2. Faculty of Science and Engineering, Chuo University, 1-13-27, Bunkyo-Ku, Kasuga, 112-8551, Tokyo, Japan

    Kohei Otake

  3. School of Information and Telecommunication Engineering, Tokai University, 2-3-23, Minato-Ku, Takanawa, 108-8619, Tokyo, Japan

    Takashi Namatame

Authors
  1. Tomoki Yoshimi
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  2. Kohei Otake
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  3. Takashi Namatame
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Corresponding author

Correspondence to Kohei Otake .

Editor information

Editors and Affiliations

  1. University of Bucharest, Bucharest, Romania

    Adela Coman

  2. University of Tsukuba, Tsukuba, Japan

    Simona Vasilache

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© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Yoshimi, T., Otake, K., Namatame, T. (2023). Analysis of Loyal Customers Considering Diversity of Customers. In: Coman, A., Vasilache, S. (eds) Social Computing and Social Media. HCII 2023. Lecture Notes in Computer Science, vol 14025. Springer, Cham. https://doi.org/10.1007/978-3-031-35915-6_45

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  • DOI: https://doi.org/10.1007/978-3-031-35915-6_45

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-35914-9

  • Online ISBN: 978-3-031-35915-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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