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Consumer Behavior And Artificial Intelligence: The Road To Personalized Shopping Experiences

Author

Listed:
  • LAZEA RUXANDRA

    (1 DECEMBRIE 1918 UNIVERSITY OF ALBA IULIA, FACULTY OF ECONOMICS, ROMANIA)

  • NICHITA ANCA

    (1 DECEMBRIE 1918 UNIVERSITY OF ALBA IULIA, FACULTY OF ECONOMICS, ROMANIA)

Abstract

The present article delves into how nowadays advancements in artificial intelligence can shape consumer behavior. Due to the novelty degree of this research topic, we choose a theoretical approach by conducting a literature review of relevant studies. We identified the main advantages and disadvantages that artificial intelligence triggers for companies and consumers, which appeared after the emergence of this cutting-edge technology. We also addressed in detail the crucial possibility for companies of personalizing shopping experiences and catering to consumers’ needs with the help of AI tools integrated into next-level search platforms, which can learn clients’ preferences and recommened products/services with a high accuracy degree.

Suggested Citation

  • Lazea Ruxandra & Nichita Anca, 2024. "Consumer Behavior And Artificial Intelligence: The Road To Personalized Shopping Experiences," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 6, pages 122-126, December.
    • Handle: RePEc:cbu:jrnlec:y:2024:v:6ii:p:122-126
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    References listed on IDEAS

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    1. Larissa Batrancea, 2021. "An Econometric Approach Regarding the Impact of Fiscal Pressure on Equilibrium: Evidence from Electricity, Gas and Oil Companies Listed on the New York Stock Exchange," Mathematics, MDPI, vol. 9(6), pages 1-22, March.
    2. Otilia-Ana Lungu & Angela-Eliza Micu, 2024. "Employees Perception Of The Importance Of Using Artificial Intelligence (Ai) In The Work Process," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 5, pages 123-134, October.
    3. Larissa Batrancea, 2021. "The Influence of Liquidity and Solvency on Performance within the Healthcare Industry: Evidence from Publicly Listed Companies," Mathematics, MDPI, vol. 9(18), pages 1-15, September.
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