A methodology for product segmentation using sale transactions
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Date
2018
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Publisher
Institute of Electrical and Electronics Engineers Inc.
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Abstract
This paper presents a novel methodology for product segmentation using customers' transactions on products. The proposed methodology introduces FMC model, and utilizes this model's features and clustering algorithms to group products into segments. The applicability of the proposed approach has been demonstrated on data collected by a supermarket chain. The results show that the proposed methodology provides an efficient tool that can be used to identify different product segments and to gain valuable insights about these distinct groups. The resulting product segments can help managers in the inventory management and developing marketing strategies. © 2018 Croatian Society MIPRO.
Description
Ericsson Nikola Tesla; et al.; HEP - Croatian Electricity Company Zagreb; InfoDom; Koncar-Electrical Industries; T-Croatian Telecom
Keywords
clustering, KDD, Product taxonomy, RFM, segmentation, supermarket
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Citation
3
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Source
2018 41st International Convention on Information and Communication Technology, Electronics and Microelectronics, MIPRO 2018 - Proceedings -- 41st International Convention on Information and Communication Technology, Electronics and Microelectronics, MIPRO 2018 -- 21 May 2018 through 25 May 2018 -- Opatija -- 137625
Volume
Issue
Start Page
1249
End Page
1253