Artificial Intelligence at the Core of Supply Chains - A Literature Review and Perspectives

Sara Boukaidi Laghzaoui
Additional contact information
Sara Boukaidi Laghzaoui: USMBA - Université Sidi Mohamed Ben Abdellah [Fès]

Post-Print from HAL

Abstract: The Moroccan context is becoming increasingly marked by high inflation, as well as risks of recession following the health crisis. Moroccan companies need to adapt their supply chains (SC) to strengthen their resilience and support their competitiveness. Morocco, as a strategic logistics hub in Africa, is also a key player in critical sectors such as the automotive industry, agri-food and others. Artificial intelligence (AI) is beginning to penetrate the supply chain and is set to develop significantly at various levels especially if we want a smart supply chain (SSC). This literature review analyzes the technological advances in AI applied to the supply chain to optimize it and make it a smarter, more resilient supply chain (RSC). It highlights the key applications that can help companies fix their strategies in the face of economic and logistical disruption.

Keywords: smart supply chain.; resilience; supply chain; Artificial intelligence (search for similar items in EconPapers)
Date: 2025-08-20
References: Add references at CitEc
Citations:

Published in 2025 16th International Conference on Logistics and Supply Chain Management (LOGISTIQUA), May 2025, Casablanca, France. IEEE, pp.1-7, 2025, ⟨10.1109/LOGISTIQUA66323.2025.11122826⟩

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-05247501

DOI: 10.1109/LOGISTIQUA66323.2025.11122826

Access Statistics for this paper

More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().