Basket Patterns in Turkey: A Clustering of FMCG Baskets Using Consumer Panel Data

Tolga Kaya; Ahmet Talha Yiğit; Utku Doğruak

doi:10.1007/978-3-030-51156-2_10

Basket Patterns in Turkey: A Clustering of FMCG Baskets Using Consumer Panel Data

Tolga Kaya, Ahmet Talha Yiğit^*, Utku Doğruak

^*Corresponding author for this work

Department of Management Engineering

Istanbul Technical University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The purpose of this study is to suggest a clustering approach to define the main groups of baskets in Turkish fast-moving consumer goods (FMCG) industry based on the sectoral decomposition, the total value and the size of the baskets. To do this, based on the information regarding the 2,965,837 baskets (8,147,233 transactions) of 14293 households which took place in the calendar year 2018, alternative unsupervised learning methods such as K-means, and Gaussian mixtures are implemented to obtain and define the basket patterns in Turkey. A supervised ensembling approach based on XG-Boost method is also suggested to assign the new baskets into the existing clusters. Results show that, “SaveTheDay”, “CareTrip”, “Breakfast”, “SuperMain” and “MeatWalk” are among the most important basket types in Turkish FMCG sector.

Original language	English
Title of host publication	Intelligent and Fuzzy Techniques
Subtitle of host publication	Smart and Innovative Solutions - Proceedings of the INFUS 2020 Conference
Editors	Cengiz Kahraman, Sezi Cevik Onar, Basar Oztaysi, Irem Ucal Sari, Selcuk Cebi, A. Cagri Tolga
Publisher	Springer
Pages	71-78
Number of pages	8
ISBN (Print)	9783030511555
DOIs	https://doi.org/10.1007/978-3-030-51156-2_10
Publication status	Published - 2021
Event	International Conference on Intelligent and Fuzzy Systems, INFUS 2020 - Istanbul, Turkey Duration: 21 Jul 2020 → 23 Jul 2020

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	1197 AISC
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	International Conference on Intelligent and Fuzzy Systems, INFUS 2020
Country/Territory	Turkey
City	Istanbul
Period	21/07/20 → 23/07/20

Bibliographical note

Publisher Copyright:
© 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

Basket analysis
Cluster analysis
Consumer panel
FMCG
K-means
Supervised learning

Access to Document

10.1007/978-3-030-51156-2_10

Cite this

Kaya, T., Yiğit, A. T., & Doğruak, U. (2021). Basket Patterns in Turkey: A Clustering of FMCG Baskets Using Consumer Panel Data. In C. Kahraman, S. Cevik Onar, B. Oztaysi, I. U. Sari, S. Cebi, & A. C. Tolga (Eds.), Intelligent and Fuzzy Techniques: Smart and Innovative Solutions - Proceedings of the INFUS 2020 Conference (pp. 71-78). (Advances in Intelligent Systems and Computing; Vol. 1197 AISC). Springer. https://doi.org/10.1007/978-3-030-51156-2_10

Kaya, Tolga ; Yiğit, Ahmet Talha ; Doğruak, Utku. / Basket Patterns in Turkey : A Clustering of FMCG Baskets Using Consumer Panel Data. Intelligent and Fuzzy Techniques: Smart and Innovative Solutions - Proceedings of the INFUS 2020 Conference. editor / Cengiz Kahraman ; Sezi Cevik Onar ; Basar Oztaysi ; Irem Ucal Sari ; Selcuk Cebi ; A. Cagri Tolga. Springer, 2021. pp. 71-78 (Advances in Intelligent Systems and Computing).

@inproceedings{f217c51efb784c09b7d47ac41bdebfeb,

title = "Basket Patterns in Turkey: A Clustering of FMCG Baskets Using Consumer Panel Data",

abstract = "The purpose of this study is to suggest a clustering approach to define the main groups of baskets in Turkish fast-moving consumer goods (FMCG) industry based on the sectoral decomposition, the total value and the size of the baskets. To do this, based on the information regarding the 2,965,837 baskets (8,147,233 transactions) of 14293 households which took place in the calendar year 2018, alternative unsupervised learning methods such as K-means, and Gaussian mixtures are implemented to obtain and define the basket patterns in Turkey. A supervised ensembling approach based on XG-Boost method is also suggested to assign the new baskets into the existing clusters. Results show that, “SaveTheDay”, “CareTrip”, “Breakfast”, “SuperMain” and “MeatWalk” are among the most important basket types in Turkish FMCG sector.",

keywords = "Basket analysis, Cluster analysis, Consumer panel, FMCG, K-means, Supervised learning",

author = "Tolga Kaya and Yiğit, {Ahmet Talha} and Utku Doğruak",

note = "Publisher Copyright: {\textcopyright} 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.; International Conference on Intelligent and Fuzzy Systems, INFUS 2020 ; Conference date: 21-07-2020 Through 23-07-2020",

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doi = "10.1007/978-3-030-51156-2_10",

language = "English",

isbn = "9783030511555",

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publisher = "Springer",

pages = "71--78",

editor = "Cengiz Kahraman and {Cevik Onar}, Sezi and Basar Oztaysi and Sari, {Irem Ucal} and Selcuk Cebi and Tolga, {A. Cagri}",

booktitle = "Intelligent and Fuzzy Techniques",

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Kaya, T, Yiğit, AT & Doğruak, U 2021, Basket Patterns in Turkey: A Clustering of FMCG Baskets Using Consumer Panel Data. in C Kahraman, S Cevik Onar, B Oztaysi, IU Sari, S Cebi & AC Tolga (eds), Intelligent and Fuzzy Techniques: Smart and Innovative Solutions - Proceedings of the INFUS 2020 Conference. Advances in Intelligent Systems and Computing, vol. 1197 AISC, Springer, pp. 71-78, International Conference on Intelligent and Fuzzy Systems, INFUS 2020, Istanbul, Turkey, 21/07/20. https://doi.org/10.1007/978-3-030-51156-2_10

Basket Patterns in Turkey: A Clustering of FMCG Baskets Using Consumer Panel Data. / Kaya, Tolga; Yiğit, Ahmet Talha; Doğruak, Utku.
Intelligent and Fuzzy Techniques: Smart and Innovative Solutions - Proceedings of the INFUS 2020 Conference. ed. / Cengiz Kahraman; Sezi Cevik Onar; Basar Oztaysi; Irem Ucal Sari; Selcuk Cebi; A. Cagri Tolga. Springer, 2021. p. 71-78 (Advances in Intelligent Systems and Computing; Vol. 1197 AISC).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Basket Patterns in Turkey

T2 - International Conference on Intelligent and Fuzzy Systems, INFUS 2020

AU - Kaya, Tolga

AU - Yiğit, Ahmet Talha

AU - Doğruak, Utku

PY - 2021

Y1 - 2021

N2 - The purpose of this study is to suggest a clustering approach to define the main groups of baskets in Turkish fast-moving consumer goods (FMCG) industry based on the sectoral decomposition, the total value and the size of the baskets. To do this, based on the information regarding the 2,965,837 baskets (8,147,233 transactions) of 14293 households which took place in the calendar year 2018, alternative unsupervised learning methods such as K-means, and Gaussian mixtures are implemented to obtain and define the basket patterns in Turkey. A supervised ensembling approach based on XG-Boost method is also suggested to assign the new baskets into the existing clusters. Results show that, “SaveTheDay”, “CareTrip”, “Breakfast”, “SuperMain” and “MeatWalk” are among the most important basket types in Turkish FMCG sector.

AB - The purpose of this study is to suggest a clustering approach to define the main groups of baskets in Turkish fast-moving consumer goods (FMCG) industry based on the sectoral decomposition, the total value and the size of the baskets. To do this, based on the information regarding the 2,965,837 baskets (8,147,233 transactions) of 14293 households which took place in the calendar year 2018, alternative unsupervised learning methods such as K-means, and Gaussian mixtures are implemented to obtain and define the basket patterns in Turkey. A supervised ensembling approach based on XG-Boost method is also suggested to assign the new baskets into the existing clusters. Results show that, “SaveTheDay”, “CareTrip”, “Breakfast”, “SuperMain” and “MeatWalk” are among the most important basket types in Turkish FMCG sector.

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A2 - Kahraman, Cengiz

A2 - Cevik Onar, Sezi

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A2 - Sari, Irem Ucal

A2 - Cebi, Selcuk

A2 - Tolga, A. Cagri

PB - Springer

Y2 - 21 July 2020 through 23 July 2020

ER -

Kaya T, Yiğit AT, Doğruak U. Basket Patterns in Turkey: A Clustering of FMCG Baskets Using Consumer Panel Data. In Kahraman C, Cevik Onar S, Oztaysi B, Sari IU, Cebi S, Tolga AC, editors, Intelligent and Fuzzy Techniques: Smart and Innovative Solutions - Proceedings of the INFUS 2020 Conference. Springer. 2021. p. 71-78. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-51156-2_10

Basket Patterns in Turkey: A Clustering of FMCG Baskets Using Consumer Panel Data

Abstract

Publication series

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Bibliographical note

Keywords

Access to Document

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