THE APPLICATION OF ARTIFICIAL INTELLIGENCE TO INDONESIAN E-COMMERCE PLATFORMS AND ITS IMPACT ON DIGITAL ECONOMIC GROWTH

  • Vanessa Nurul Annisa Universitas Islam Negeri Sulthan Thaha Saifuddin Jambi
  • Rafidah Rafidah UIN STS JAMBI
  • Sri Rahma Universitas Islam Negeri Sulthan Thaha Saifuddin Jambi
  • Elyanti Rosmanidar Universitas Islam Negeri Sulthan Thaha Saifuddin Jambi
  • Army Setia Pratiwi Universitas Islam Negeri Sulthan Thaha Saifuddin Jambi

Abstract

This study explores the implementation of Artificial Intelligence (AI) in Indonesian e-commerce platforms and its impact on digital economic growth. The findings highlight three key aspects. First, AI has transformed e-commerce operations through personalized product recommendations, natural language processing (NLP) chatbots, and dynamic pricing systems, which enhance customer experience, increase sales, and build loyalty. Second, AI contributes significantly to business efficiency and growth by integrating with Business Intelligence to accelerate data analysis, support accurate decision-making, and reduce operational costs, while automation enables firms to optimize resources and develop new digital business models. Third, AI strengthens Indonesia’s digital economy by expanding market access, especially for micro, small, and medium enterprises (MSMEs), and by fostering digital financial inclusion through AI-driven services such as credit scoring and micro-lending. With projections estimating Indonesia’s digital economy to reach USD 130 billion by 2025, AI is recognized as a critical driver for inclusive and sustainable growth. Nevertheless, its success depends on supportive infrastructure, skilled human resources, and adaptive regulations to balance innovation with consumer protection.

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Published
2025-10-16
How to Cite
ANNISA, Vanessa Nurul et al. THE APPLICATION OF ARTIFICIAL INTELLIGENCE TO INDONESIAN E-COMMERCE PLATFORMS AND ITS IMPACT ON DIGITAL ECONOMIC GROWTH. Proceedings of the International Conference of Islamic Economics and Business (ICONIES), [S.l.], v. 11, n. 1, p. 1719-1724, oct. 2025. ISSN 2541-3333. Available at: <https://conferences.uin-malang.ac.id/index.php/iconies/article/view/3534>. Date accessed: 15 may 2026.