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Artificial Intelligence and Logistics in Algeria: Empirical Insights and Strategic Pathways for Sustainable Trans-formation

In: Proceedings of the International Conference on Artificial Intelligence Applications in Business Administration in MENA Region (ICAIABA 2026)

Author

Listed:
  • Cheriti Yasmine

    (Ecole Supérieure de Commerce)

  • Lalaoui Amor

    (Ecole Supérieure de Commerce)

  • Melzi Zohir

    (Ecole Supérieure de Commerce)

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.

Suggested Citation

  • Cheriti Yasmine & Lalaoui Amor & Melzi Zohir, 2026. "Artificial Intelligence and Logistics in Algeria: Empirical Insights and Strategic Pathways for Sustainable Trans-formation," Advances in Economics, Business and Management Research, in: Djouhara Agti & Salim Bitam & Fateh Debla & Reguia Cherroun (ed.), Proceedings of the International Conference on Artificial Intelligence Applications in Business Administration in MENA Region (ICAIABA 2026), pages 123-133, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6239-711-8_13
    DOI: 10.2991/978-94-6239-711-8_13
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