Artificial Intelligence in Supply Chain Management: Perspectivesfor Integration within the Physical Internet Paradigm
Author(s)
Perez, Monica-Juliana
Chargui, Tarik
Trentesaux, Damien
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Abstract
This study conducts a scoping literature review to examine the application of Artificial Inte lligence (AI) in Supply Chain Management (SCM) and explores its potential integration within the Physical Internet (PI) paradigm. Analyzing 48 empirical articles published between 2020 and 2025, the review identifies five thematic clusters: demand forecasting, transportation optimization, terminal operations, risk management, and urban logistics. Results demonstrate that although AI enhances efficiency and decision-making across supply chains, current implementations are predominantly siloed and lack the interoperability required for PI adoption. The articulation between SCM, AI, and PI is made explicit by highlighting how modular, scalable, and decentralized logistics infrastructures demand intelligent systems. The study reveals critical research opportunities to develop modular, explainable, and sustainable AI models aligned with PI principles, thereby paving the way for autonomous, hyperconnected, and environmentally responsible logistics networks.
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Date
2025-06
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Text
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Proceedings
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