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

Author

Listed:
  • Žyla Petr

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

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.

Suggested Citation

Handle: RePEc:vrs:aakarv:v:24:y:2024:i:2:p:103-122:n:1008
DOI: 10.25142/aak.2024.014
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JEL classification:

  • L81 - Industrial Organization - - Industry Studies: Services - - - Retail and Wholesale Trade; e-Commerce
  • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management
  • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques

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