Published: 2024-04-10
Optimization of Product Placement on E-commerce Platforms with K-Means Clustering to Improve User Experience
DOI: 10.35870/ijsecs.v4i1.2328
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Abstract
This study delves into product placement strategies on E-commerce platforms using K-Means Clustering analysis. Employing an experimental methodology, data about products and user preferences were gathered to delineate product and user clusters. The K-Means Clustering analysis yielded three primary product clusters and four user preference clusters. These findings hold significant practical implications, empowering E-commerce platforms to refine user experience personalization, streamline sales efficiency, and bolster overall business performance. Platforms can positively influence sales conversion rates and user satisfaction by implementing targeted and adaptable product placement strategies. This research contributes not only to the theoretical comprehension of product placement in E-commerce but also furnishes actionable insights for stakeholders to optimize platform operations and deliver an enriched online shopping experience.
Keywords
E-commerce ; K-Means Clustering ; Product Placement ; User Experience ; Marketing Strategy ; User Preferences
Article Information
This article has been peer-reviewed and published in the International Journal Software Engineering and Computer Science (IJSECS). The content is available under the terms of the Creative Commons Attribution 4.0 International License.
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Issue: Vol. 4 No. 1 (2024)
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Section: Articles
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Published: %750 %e, %2024
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License: CC BY 4.0
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Copyright: © 2024 Authors
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DOI: 10.35870/ijsecs.v4i1.2328
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Achmad Ridwan
Information Systems Study Program, Universitas Muhammadiyah Kudus, Kudus Regency, Central Java Province, Indonesia
Sandi Setiadi
Management Study Program, Faculty of Social Economics, Universitas Linggabuana PGRI Sukabumi, Sukabumi City, West Java Province, Indonesia
Rizky Maulana
Management Study Program, Faculty of Social Economics, Universitas Linggabuana PGRI Sukabumi, Sukabumi City, West Java Province, Indonesia
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