Customer Segmentation Using the K-Means Clustering as a Strategy to Avoid Overstock in Online Shop Inventory

Dewabharata, Anindhita (2022) Customer Segmentation Using the K-Means Clustering as a Strategy to Avoid Overstock in Online Shop Inventory. In: Proceedings of the 1st International Conference on Contemporary Risk Studies, ICONIC-RS 2022, 31 March-1 April 2022, South Jakarta, DKI Jakarta, Indonesia.

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Abstract

In recent years, the fast-growing internet technology has increased online activities, including online shopping. As a result, many companies doing business in this area successfully earn high profits. With the e-shopping success, many online shops compete to offer more variety products and let cust

Item Type: Conference or Workshop Item (UNSPECIFIED)
Date Deposited: 04 Mar 2026 15:38
Last Modified: 17 Apr 2026 05:18
URI: http://eprints.eai.eu/id/eprint/40190

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