Annals of Dunarea de Jos University. Fascicle I : Economics and Applied Informatics (Aug 2019)

Leveraging e-Commerce Performance through Machine Learning Algorithms

  • Adrian MICU,
  • Marius GERU,
  • Alexandru CAPATINA,
  • Constantin AVRAM,
  • Robert RUSU,
  • Andrei Alexandru PANAIT

Journal volume & issue
Vol. 25, no. 2
pp. 162 – 171

Abstract

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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.