20.500.12556/DKUM-97765 Analiza uporabe umetne inteligence v globalnih podjetjih sektorja FMCG Analysis of artificial intelligence implementation in global fmcg companies Umetna inteligenca je postala ključni element digitalne transformacije globalnih podjetij, saj je spremenila analiziranje podatkov in operativne procese ter pomembno prispevala k strateškemu odločanju. V magistrskem delu smo podrobneje analizirali uporabo umetne inteligence v podjetjih, ki sta del sektorja hitro premikajočega se blaga za široko porabo, kjer tehnologije, kot so računalniški vid, napovedna analitika, generativni modeli in strojno učenje, omogočajo optimizacijo poslovnih procesov. Z analizo primerov uporabe umetne inteligence v podjetjih Unilever In PepsiCo smo ugotovili, da implementacija naprednih tehnologij izboljša učinkovitost na področju marketinga, razvoja, proizvodnje in logistike, kar omogoči, da sta se podjetji uspešneje in hitreje prilagajali glede na hitre spremembe trendov in povpraševanja na globalnem trgu. Obenem pa umetna inteligenca omogoči boljšo stroškovno in operativno učinkovitost, kar je v sektorju, ki je močno nasičen s podobnimi izdelki in močno konkurenco, ključno za ohranjanje konkurenčne prednosti. Artificial intelligence has become a key element of the digital transformation of global companies, as it has transformed data analysis and operational processes and significantly contributed to strategic decision-making. In this master's thesis, we analyzed the use of artificial intelligence in companies that are part of the fast-moving consumer goods sector, where technologies such as computer vision, predictive analytics, generative models, and machine learning enable the optimization of business processes. By analyzing the use cases of artificial intelligence in Unilever and PepsiCo, we found that the implementation of advanced technologies improves efficiency in the areas of marketing, development, production, and logistics, which allows companies to adapt more successfully and quickly to rapid changes in trends and demand in the global market. At the same time, artificial intelligence enables better cost efficiency and operational performance, which is crucial for maintaining a competitive advantage in a sector that is highly saturated with similar products and characterized by intense competition. Umetna inteligenca strojno učenje avtomatizacija napovedna analitika. Artificial intelligence machine learning automation predictive analytics. true true false A. Sobočan] Slovenski jezik Angleški jezik Magistrsko delo/naloga 2026-04-10 15:15:28 2026-05-21 11:48:43 2026-05-22 03:16:12 0000-00-00 00:00:00 2026 0 Maribor 0 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 004.8 278918147 MAG_Sobocan_Aljaz_2026.pdf MAG_Sobocan_Aljaz_2026.pdf 1 6101DC4C5199FB77776D874E5F4DA063 6bd802db5756d8ba57acfe81013f663c903ed756faa838680ea1f211a94fcd99 c638c5b4-4304-11f1-b28d-00155d0001a1 https://dk.um.si/Dokument.php?lang=slv&id=205670 Ekonomsko-poslovna fakulteta 0 0 0