How will artificial intelligence drive marketing in the beverage industry? - A bibliometric literature review

Application of Artificial Intelligence (AI) in the Drinks & Beverages (D&B) industry is becoming increasingly important for the competitiveness of companies in the sector. AI application for Marketing 5.0 in the D&B industry is of growing interest to both researchers and companies. A...

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Main Authors: Pietro Chinnici, Simona Bacarella, Stefania Chironi, Vincenzo Naselli, Marzia Ingrassia
Format: Article
Language:English
Published: Elsevier 2025-12-01
Series:Future Foods
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Online Access:http://www.sciencedirect.com/science/article/pii/S2666833525001637
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author Pietro Chinnici
Simona Bacarella
Stefania Chironi
Vincenzo Naselli
Marzia Ingrassia
author_facet Pietro Chinnici
Simona Bacarella
Stefania Chironi
Vincenzo Naselli
Marzia Ingrassia
author_sort Pietro Chinnici
collection DOAJ
description Application of Artificial Intelligence (AI) in the Drinks & Beverages (D&B) industry is becoming increasingly important for the competitiveness of companies in the sector. AI application for Marketing 5.0 in the D&B industry is of growing interest to both researchers and companies. AI-tools allow to create extremely precise market segmentations and satisfy increasingly differentiated consumer preferences or even influence them. However, at present, research on AI for Marketing of companies in the D&B industry is still at an early stage. Furthermore, to the best of our knowledge, there is a lack of systematic and quantitative reviews mapping the scholarly landscape at the intersection of these topics of research. Therefore, in order to help fill this gap, this review is the first study that aims to provide a comprehensive and detailed bibliometric analysis of the scientific literature published to date on the topics of AI for marketing and consumer studies in the D&B sector; in addiction, this study highlights the most discussed connecting themes among the main topics. Scientific co-occurrence maps were provided and Time Series analysis was carried out. Results showed limited number of scientific documents whose primary objective is the study of AI for Beverages’ Marketing, despite the likely increase in academic interest in these topics. Machine Learning is the most widely used technology for customer profiling and preference prediction. Findings suggest an interdisciplinary approach for future AI-based marketing research and consumer studies, to provide open tools for personalized marketing tactics and strategies for SMEs.
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spelling doaj-art-a1747e8fb2d444548b5b454d8bb5841a2025-08-20T02:36:49ZengElsevierFuture Foods2666-83352025-12-011210070410.1016/j.fufo.2025.100704How will artificial intelligence drive marketing in the beverage industry? - A bibliometric literature reviewPietro Chinnici0Simona Bacarella1Stefania Chironi2Vincenzo Naselli3Marzia Ingrassia4Department of Agriculture, Food and Forestry Sciences, Università degli Studi di Palermo, Palermo, ItalyDepartment of Agriculture, Food and Forestry Sciences, Università degli Studi di Palermo, Palermo, ItalyDepartment of Agriculture, Food and Forestry Sciences, Università degli Studi di Palermo, Palermo, ItalyDepartment of Agriculture, Food and Forestry Sciences, Università degli Studi di Palermo, Palermo, ItalyCorresponding author.; Department of Agriculture, Food and Forestry Sciences, Università degli Studi di Palermo, Palermo, ItalyApplication of Artificial Intelligence (AI) in the Drinks & Beverages (D&B) industry is becoming increasingly important for the competitiveness of companies in the sector. AI application for Marketing 5.0 in the D&B industry is of growing interest to both researchers and companies. AI-tools allow to create extremely precise market segmentations and satisfy increasingly differentiated consumer preferences or even influence them. However, at present, research on AI for Marketing of companies in the D&B industry is still at an early stage. Furthermore, to the best of our knowledge, there is a lack of systematic and quantitative reviews mapping the scholarly landscape at the intersection of these topics of research. Therefore, in order to help fill this gap, this review is the first study that aims to provide a comprehensive and detailed bibliometric analysis of the scientific literature published to date on the topics of AI for marketing and consumer studies in the D&B sector; in addiction, this study highlights the most discussed connecting themes among the main topics. Scientific co-occurrence maps were provided and Time Series analysis was carried out. Results showed limited number of scientific documents whose primary objective is the study of AI for Beverages’ Marketing, despite the likely increase in academic interest in these topics. Machine Learning is the most widely used technology for customer profiling and preference prediction. Findings suggest an interdisciplinary approach for future AI-based marketing research and consumer studies, to provide open tools for personalized marketing tactics and strategies for SMEs.http://www.sciencedirect.com/science/article/pii/S2666833525001637Beverage consumerBeverage marketingBeverage technologiesMarketing innovationAI marketingFood quality
spellingShingle Pietro Chinnici
Simona Bacarella
Stefania Chironi
Vincenzo Naselli
Marzia Ingrassia
How will artificial intelligence drive marketing in the beverage industry? - A bibliometric literature review
Future Foods
Beverage consumer
Beverage marketing
Beverage technologies
Marketing innovation
AI marketing
Food quality
title How will artificial intelligence drive marketing in the beverage industry? - A bibliometric literature review
title_full How will artificial intelligence drive marketing in the beverage industry? - A bibliometric literature review
title_fullStr How will artificial intelligence drive marketing in the beverage industry? - A bibliometric literature review
title_full_unstemmed How will artificial intelligence drive marketing in the beverage industry? - A bibliometric literature review
title_short How will artificial intelligence drive marketing in the beverage industry? - A bibliometric literature review
title_sort how will artificial intelligence drive marketing in the beverage industry a bibliometric literature review
topic Beverage consumer
Beverage marketing
Beverage technologies
Marketing innovation
AI marketing
Food quality
url http://www.sciencedirect.com/science/article/pii/S2666833525001637
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