Artificial Intelligence in FMCG Retail Sector
Irina Yovcheva ()
Additional contact information
Irina Yovcheva: College of Management, Trade and Marketing, Sofia, Bulgaria
Nauchni trudove, 2023, issue 1, 101-114
Abstract:
The paper presents theoretical research on the diffusion of artificial intelligence (AI) in FMCG. As a result, the four main areas of AI innovation were discovered: customer experience, logistics, manufacturing, and business model. The relationship of AI with the proven technology for customer relationship management – CRM – is also revealed. Current benefits and opportunities for future optimizing business processes through digital transformation are indicated. Emphasis is placed on machine learning. Examples of using artificial intelligence among leading companies in the FMCG sector are given, as well as an example of service transformation in a supermarket in Germany during Covid-19, etc.
Keywords: artificial intelligence; digital transformation; FMCG retail sector (search for similar items in EconPapers)
JEL-codes: M31 (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:
Downloads: (external link)
https://unwe-research-papers.org/bg/journalissues/article/10612 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:nwe:natrud:y:2023:i:1:p:101-114
Access Statistics for this article
More articles in Nauchni trudove from University of National and World Economy, Sofia, Bulgaria Contact information at EDIRC.
Bibliographic data for series maintained by Vanya Lazarova ().