Integrating Artificial Intelligence in Supply Chain: Enhancements and Challenges
The integration of Artificial Intelligence (AI) into supply chain enhances processes like logistics, procurement, and decision-making. AI technologies such as machine learning and predictive analytics improve demand forecasting, inventory management, and supply chain optimization. Benefits include real-time decision-making, automation, cost reduction, and risk mitigation. However, challenges like data silos and workface readiness persist. Advances in cloud computing and loT are accelerating AI adoption, leading to more agile and resilient supply chains. Continuous investment in AI adoption, leading to more agile and resilient supply chains. Continuous investment in AI and skill development is essential for maintaining a competitive edge.
Authors
- Anas Chafi (ORCID: https://orcid.org/0000-0001-7394-7770)
- Salaheddine Kammouri Alami (ORCID: https://orcid.org/0000-0002-3231-8203)
- Oussama Zabraoui (ORCID: https://orcid.org/0009-0007-8108-2704)
Institutions
- Sidi Mohamed Ben Abdellah University (MA)
Publication Details
- Published
- 2025-05-15
- DOI
- https://doi.org/10.1109/iraset64571.2025.11008164
- Primary Topic
- Digital Transformation in Industry
- Type
- article
- Field-Weighted Citation Impact
- 0.00