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All Journal International Journal of Community Service (IJCS)
Abdisamad Abdirahman Omar
African Institute for Multidisciplinary Studies (AIMS), Somalia
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AI-Driven Market Insights: Transforming the Competitiveness of Local MSMEs in Bekasi, Indonesia Novi Lestari; Abdisamad Abdirahman Omar; M. Yani Syafei; Muhammad Eko Purwanto
International Journal of Community Service (IJCS) Vol. 5 No. 2 (2026): July-December
Publisher : PT Inovasi Pratama Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55299/ijcs.v5i2.2047

Abstract

AI-DRIVEN MARKET INSIGHTS: TRANSFORMING THE COMPETITIVENESS OF LOCAL MSMEs IN BEKASI, INDONESIA. This study examines the role of AI-driven market insights in transforming the competitiveness of local Micro, Small, and Medium Enterprises (MSMEs) in Bekasi Regency, West Java, Indonesia. Using a descriptive qualitative approach, the research is based on literature review and secondary data, complemented by empirical insights from the Institution Collaboration for International Community Service 2026. The findings reveal that structured knowledge transfer has enabled MSMEs to understand and begin internalizing Artificial Intelligence (AI) as a strategic tool for analyzing market trends, consumer behavior, and business opportunities. Furthermore, the study identifies a significant increase in digital awareness and literacy among MSME actors, reflected in their shift from intuition-based to data-driven decision-making practices. This transformation is further supported by the emergence of a collaborative ecosystem involving academic institutions, international experts, and local entrepreneurs, which facilitates knowledge co-creation and innovation diffusion. Through triangulation and theoretical dialogue, the study confirms that AI adoption in MSMEs is influenced by knowledge transfer, digital literacy, and ecosystem support. The results highlight that AI-driven market insights are no longer merely conceptual but are increasingly being implemented in local business practices. Therefore, this study contributes to the literature on digital transformation and MSME development by providing empirical evidence of how AI can enhance competitiveness in emerging economies.
Leveraging Artificial Intelligence to Enhance Market Intelligence for MSMEs in Bekasi, Indonesia: Challenges and Opportunities Candra Dwi Hardiana; Abdisamad Abdirahman Omar; M. Yani Syafei; Muhammad Eko Purwanto
International Journal of Community Service (IJCS) Vol. 5 No. 2 (2026): July-December
Publisher : PT Inovasi Pratama Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55299/ijcs.v5i2.2086

Abstract

LEVERAGING ARTIFICIAL INTELLIGENCE TO ENHANCE MARKET INTELLIGENCE FOR MSMSs IN BEKASI, INDONESIA: CHALLENGES AND OPPORTUNITIES. This study examines the role of Artificial Intelligence (AI) in enhancing market intelligence among Micro, Small, and Medium Enterprises (MSMEs) in Bekasi Regency, West Java, Indonesia, within the context of digital transformation. Using a descriptive qualitative approach, data were collected through literature review, secondary data, and field observations from the Institution Collaboration for International Community Service 2026. The findings reveal a significant shift from intuition-based decision-making toward data-driven approaches, where AI enables MSMEs to analyze consumer behavior, predict market trends, and optimize digital marketing strategies. Furthermore, international collaboration within community service activities plays a crucial role in facilitating knowledge transfer and accelerating AI internalization, contributing to the development of digital awareness and strategic thinking among MSME actors. However, the study also identifies a substantial gap between AI potential and its actual implementation, driven by low digital literacy, limited technological access, and insufficient understanding of AI integration in daily business processes. These challenges highlight the need for a comprehensive ecosystem approach that includes policy support, continuous training, and infrastructure development. The study contributes to the literature by integrating theoretical perspectives with empirical findings, offering insights into the opportunities and challenges of AI adoption in MSMEs within developing regions.
Co-Authors Candra Dwi Hardiana M. Yani Syafei M. Yani Syafei Muhammad Eko Purwanto Novi Lestari