Proceedings of the 3rd International Conference on Artificial Intelligence in Economics, Finance and Management (ICAIEFM 2025)

Artificial Intelligence for Personalized Marketing Strategy: A Pathway to the Survival of Geographical Indication Handloom Products in Kerala

Authors
A. U. Nitha1, *, Preemy P. Thachil2
1Research Scholar, Department of Economics, Sree Sankara College, Kalady, Kerala, India
2Associate Professor of Economics, Sree Sankara College, Kalady, Kerala, India
*Corresponding author. Email: nithaunnikrishnan@gmail.com
Corresponding Author
A. U. Nitha
Available Online 6 November 2025.
DOI
10.2991/978-94-6463-896-7_14How to use a DOI?
Keywords
Handloom industry; Geographical Indication; digital marketing; artificial intelligence; personalization; marketing strategies; perceived barriers
Abstract

The Indian Handloom possess a rich cultural heritage and tradition with the distinguished skills being handed over through centuries. Geographical indications (GIs) are certificates, given to quality products with reputation and characteristics are attributed to its place of origin and are important in revitalizing the countryside. Despite rich heritage and artisanal nature, handloom products frequently find themselves at a disadvantage when competing in a globalized marketplace filled with mass-produced designs. In order to get pass this barrier, brands can use AI-based marketing strategies that focus on the unique aspects of handloom products. This research tried to explore the awareness, implementation status and perceived adoption barriers among different agents in the marketing channel of GI Handloom Products by conducting interview with 168 samples. For the analysis of data, Wilcoxon Signed-Rank Test and Spearman’s rank correlation, Friedman test and Kruskal-Wallis H test were used with the help of SPSS. The study revealed that the awareness level towards the potential of digital marketing, AI and personalization different among different agents, while no significant difference on the perception of difficulties to using the modern marketing technologies and personalization. To identify the barriers to the adoption intention of digital marketing, Partial Least Squares Structural Equation Modelling (PLS-SEM) on SmartPLS 4.0. was conducted. The awareness Barriers have the strongest positive and significant effect on AI Adoption Intention. Technology-related challenges do influence adoption but their impact is more modest. Financial and Organizational Barriers do not have significant effects on AI Adoption Intention.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 3rd International Conference on Artificial Intelligence in Economics, Finance and Management (ICAIEFM 2025)
Series
Advances in Economics, Business and Management Research
Publication Date
6 November 2025
ISBN
978-94-6463-896-7
ISSN
2352-5428
DOI
10.2991/978-94-6463-896-7_14How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - A. U. Nitha
AU  - Preemy P. Thachil
PY  - 2025
DA  - 2025/11/06
TI  - Artificial Intelligence for Personalized Marketing Strategy: A Pathway to the Survival of Geographical Indication Handloom Products in Kerala
BT  - Proceedings of the 3rd International Conference on Artificial Intelligence in Economics, Finance and Management (ICAIEFM 2025)
PB  - Atlantis Press
SP  - 242
EP  - 271
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-896-7_14
DO  - 10.2991/978-94-6463-896-7_14
ID  - Nitha2025
ER  -