A Systematic Literature Review on Artificial Intelligence Applications for Pharmaceutical Supply Chain Performance

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Authors: Asmae El Jaouhari, Mohcine Kroumi, Jabir Arif, Fouad Jawab
Cited by: 1
References: 33

Abstract

Pharmaceutical supply chains face regulatory, logistical, and transparency challenges. AI integration offers transformative solutions, enhancing demand forecasting, inventory management, and logistics efficiency. While AI improves operational resilience and risk mitigation, adoption barriers—data privacy, regulatory complexity, and costs—persist. Collaboration among stakeholders (pharma firms, tech providers, policymakers) is vital to address technical, ethical, and compliance gaps. Prioritizing scalable AI tools and partnerships can overcome these hurdles, fostering agile, transparent supply networks. Strategic AI adoption strengthens global medication access, healthcare outcomes, and supply chain sustainability. This study highlights AI's urgency in building resilient pharma operations amid evolving market demands and patient needs.

Fields of Study & Subjects

Internet of Things and AI Advanced Technologies in Various Fields Artificial Intelligence in Healthcare and Education

Publication details

Journal / source
Advances in computational intelligence and robotics book series
Publisher
IGI Global Scientific Publishing
Pages
1–24
Publication date
5 March 2026