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Title:Umetna inteligenca v trgovini na drobno
Authors:ID Pelemiš, Nikolina (Author)
ID Završnik, Bruno (Mentor) More about this mentor... New window
Files:.pdf UN_Pelemis_Nikolina_2025.pdf (1,24 MB)
MD5: 75F06760E30C6A12F654B138EA6C7A45
 
Language:Slovenian
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:EPF - Faculty of Business and Economics
Abstract:Diplomsko delo obravnava vpliv umetne inteligence na trgovino na drobno, kjer digitalizacija spreminja poslovne modele in nakupne navade potrošnikov. Analizirani so glavni načini uporabe, kot so personalizacija ponudb, upravljanje zalog, dinamično določanje cen, chatboti ter analiza vedenja kupcev. Študija primera podjetja Amazon pokaže, da lahko umetna inteligenca pomembno poveča učinkovitost, konkurenčnost in zadovoljstvo potrošnikov, hkrati pa odpira vprašanja etičnosti, varnosti podatkov in vpliva na trg dela. Postavili smo si dve hipotezi, ki smo ju potrdili. Sklepne ugotovitve potrjujejo, da umetna inteligenca predstavlja ključno priložnost za prihodnji razvoj trgovine na drobno, a zahteva odgovoren in uravnotežen pristop pri uvajanju.
Keywords:Umetna inteligenca, trgovina na drobno, digitalizacija.
Place of publishing:Maribor
Publisher:N. Pelemiš]
Year of publishing:2025
PID:20.500.12556/DKUM-94542 New window
UDC:004.8:339.37
COBISS.SI-ID:254460163 New window
Publication date in DKUM:23.10.2025
Views:131
Downloads:44
Metadata:XML DC-XML DC-RDF
Categories:EPF
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Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:20.08.2025

Secondary language

Language:English
Title:Artificial intelligence in retail
Abstract:The thesis examines the impact of artificial intelligence on retail, where digitalization is transforming business models and consumer purchasing habits. The main applications analyzed include personalized offers, inventory management, dynamic pricing, chatbots, and consumer behavior analysis. A case study of Amazon demonstrates that artificial intelligence can significantly increase efficiency, competitiveness, and customer satisfaction, while also raising issues of ethics, data security, and labor market impacts. Two hypotheses were formulated and confirmed. The final conclusions confirm that artificial intelligence represents a key opportunity for the future development of retail, but requires a responsible and balanced approach to its implementation.
Keywords:Artificial intelligence, retail, digitalization.


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