AI implementation in Supply Chain Management: Opportunities and challenges for the Moroccan context
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| Natura: | Recurso digital |
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2025
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| _version_ | 1866901515345592320 |
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| author | EL HADDADI, Mariam LAHJOUJI, Hamida MOUAD, Ikram |
| author_facet | EL HADDADI, Mariam LAHJOUJI, Hamida MOUAD, Ikram |
| contents | <p>Using artificial intelligence (AI) in business, particularly in supply chain management (SCM), has been a real organizational preoccupation for optimizing costs, improving visibility, and proactively managing risks. This article aims to explore the opportunities and challenges of implementing AI in SCM in Morocco. A qualitative methodology was adopted to analyze the Moroccan SCM context and the using AI in SCM. The findings, reveal the Moroccan supply chain suffers from high logistics costs, infrastructure limitations and lack of regularity and compliance. However, AI offers significant opportunities to optimize process and flows and reduce costs and ecological footprint. Moreover, we conclude that scientific research in Morocco plays a key role in developing AI solutions tailored to local companies’ needs in SCM. The paper suggests some actionable recommendations for Supply chain managers, industry practitioners and researchers.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_15384746 |
| institution | Zenodo |
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| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | AI implementation in Supply Chain Management: Opportunities and challenges for the Moroccan context EL HADDADI, Mariam LAHJOUJI, Hamida MOUAD, Ikram Artificial Intelligence Morocco Optimization Supply Chain Management <p>Using artificial intelligence (AI) in business, particularly in supply chain management (SCM), has been a real organizational preoccupation for optimizing costs, improving visibility, and proactively managing risks. This article aims to explore the opportunities and challenges of implementing AI in SCM in Morocco. A qualitative methodology was adopted to analyze the Moroccan SCM context and the using AI in SCM. The findings, reveal the Moroccan supply chain suffers from high logistics costs, infrastructure limitations and lack of regularity and compliance. However, AI offers significant opportunities to optimize process and flows and reduce costs and ecological footprint. Moreover, we conclude that scientific research in Morocco plays a key role in developing AI solutions tailored to local companies’ needs in SCM. The paper suggests some actionable recommendations for Supply chain managers, industry practitioners and researchers.</p> |
| title | AI implementation in Supply Chain Management: Opportunities and challenges for the Moroccan context |
| topic | Artificial Intelligence Morocco Optimization Supply Chain Management |
| url | https://doi.org/10.5281/zenodo.15384746 |