Artificial Intelligence and Logistics in Algeria: Empirical Insights and Strategic Pathways for Sustainable Trans-formation
- DOI
- 10.2991/978-94-6239-711-8_13How to use a DOI?
- Keywords
- Artificial Intelligence; Logistics; Algeria; MENA Region; Digital Transformation
- Abstract
The intersection of artificial intelligence (AI) and logistics is transforming how nations design, optimize, and govern their transport and supply chain systems. In emerging economies, particularly within the Middle East and North Africa (MENA) region, this digital shift is increasingly recognized as a catalyst for competitiveness, sustainability, and economic diversification. This paper empirically examines the state of AI readiness and logistics performance in Algeria, situating the country within regional and global digital transformation trajectories. Using verified secondary data from the World Bank, UNCTAD, OECD, and the World Economic Forum, the study employs a descriptive-analytical approach to evaluate Algeria’s logistics ecosystem, focusing on infrastructure, data governance, human capital, and investment climate. The results indicate moderate progress in logistics digitalization, but significant structural and institutional gaps persist—particularly in AI governance frameworks, innovation capacity, and logistics integration. The paper concludes with strategic recommendations for strengthening Algeria’s AI-enabled logistics sector through targeted policy interventions, capacity building, and public–private partnerships.
- Copyright
- © 2026 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 - Cheriti Yasmine AU - Lalaoui Amor AU - Melzi Zohir PY - 2026 DA - 2026/06/24 TI - Artificial Intelligence and Logistics in Algeria: Empirical Insights and Strategic Pathways for Sustainable Trans-formation BT - Proceedings of the International Conference on Artificial Intelligence Applications in Business Administration in MENA Region (ICAIABA 2026) PB - Atlantis Press SP - 123 EP - 133 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6239-711-8_13 DO - 10.2991/978-94-6239-711-8_13 ID - Yasmine2026 ER -