Please use this identifier to cite or link to this item:
https://irek.ase.md:443/xmlui/handle/123456789/4562
Title: | AI as a Personalization Tool for Products in Marketing |
Other Titles: | AI ca instrument de personalizare a produsurilor în marketing |
Authors: | Berghia, Iulia Bykovnykova, Mariia |
Keywords: | artificial intelligence (AI) marketing personalization strategic approach machine learning predictive privacy hyperpersonalization |
Issue Date: | Apr-2025 |
Publisher: | ASEM |
Abstract: | The article explores the revolutionary impact of artificial intelligence on marketing personalization, revealing how modern technological solutions enable companies to create a maximally individualized approach to each client. The primary focus is on innovative AI technologies such as machine learning, intelligent recommendation systems, and predictive analytics. To illustrate the effectiveness of the approach, the article presents case studies of the world's largest brands: Amazon, Netflix, Uber, and Starbucks, which have successfully implemented personalized marketing strategies. The analysis covers both the positive aspects of AI application in marketing — increased sales, customer loyalty formation, and targeted marketing — as well as potential risks: personal data protection issues, technological limitations, and the possibility of unintentional discrimination. The final part of the article is dedicated to promising development directions, including hyperpersonalization concepts, adaptation of marketing solutions for offline spaces, and the emerging trend of emotional marketing. CZU: 004.8:339.138; JEL: A1, M31, O1, O3 |
Description: | BERGHIA, Iulia and BYKOVNYKOVA Mariia. AI as a Personalization Tool for Products in Marketing = AI ca instrument de personalizare a produsurilor în marketing. Online. Coord. șt.: Olesea ROTARU. In: Simpozionul Ştiinţific cu participare internaţională al Tinerilor Cercetători. Ediţia a 23-a: Lucrări ştiinţifice, 11-12 aprilie 2025. Chişinău: SEP ASEM, 2025, vol. 1, pp. 153-156. ISBN 978-9975-168-36-6 (PDF). Disponibil: https://doi.org/10.53486/sstc2025.v1.34 |
URI: | https://irek.ase.md:443/xmlui/handle/123456789/4562 |
Appears in Collections: | 2.Articole |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Simpozion TC 2025_Vol 1_pp 153-156.pdf | 466.81 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.