Leveraging e-Commerce Performance through Machine Learning Algorithms

Adrian Micu, Marius Geru, Alexandru Capatina, Constantin Avram, Robert Rusu and Andrei Alexandru Panait
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Adrian Micu: Dunarea de Jos University of Galati, Romania
Marius Geru: Transilvania University of Brasov, Romania
Alexandru Capatina: Dunarea de Jos University of Galati, Romania
Constantin Avram: Dunarea de Jos University of Galati, Romania
Robert Rusu: Dunarea de Jos University of Galati, Romania
Andrei Alexandru Panait: Transilvania University of Brasov, Romania

Economics and Applied Informatics, 2019, issue 2, 162-171

Abstract: Machine learning (ML) is quickly emerging as a new discipline and resembles to be an attractive alternative to statistical methods in various industries. An appreciation of the possible applications of ML in digital marketing and eCommerce will be proposed in this article. The authors will examine qualitative determinant factors on brand logos and correlations on companies income, with profit, the number of employees, images and number of product images on eCommerce homepage. 1420 Romanian companies were analyzed in this research in order to identify specific factors that determines the success of an eCommerce business.

Keywords: eCommerce; digital marketing; machine learning; computer vision; google vision; marketing intelligence (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:ddj:fseeai:y:2019:i:2:p:162-171

DOI: 10.35219/eai1584040947

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