Artificial Intelligence in E-commerce: Comparing Outputs from AI Tools

Žyla Petr ()
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Žyla Petr: Silesian University, School of Business Administration, Univerzitní nám. 1934/3, 733 40 Karviná

Acta Academica Karviniensia, 2024, vol. 24, issue 2, 103-122

Abstract: This paper focuses on the use of artificial intelligence for the development and management of e-commerce on the PrestaShop platform. This work aims to explore the potential of AI-generated prompts to improve e-commerce development by comparing the outputs of two leading AI tools. The work uses an experimental methodology that involves experimenting with prompts within these tools. Furthermore, an analysis of the outputs reveals significant differences in the performances of the examined tools, providing key insights into their strengths and weaknesses. The conclusions of this work have practical implications for developers and e-commerce managers who seek to leverage AI to optimize operations and enhance user experience. Finally, the paper summarizes the main findings and provides recommendations for developers and e-commerce managers on how to use AI in their creation and subsequent management effectively.

Keywords: AI-generated content; artificial intelligence; e-commerce; PrestaShop (search for similar items in EconPapers)
JEL-codes: C63 L81 M15 (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:aakarv:v:24:y:2024:i:2:p:103-122:n:1008

DOI: 10.25142/aak.2024.014

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