EENI Global Business School

AI in Global Supply Chain Management


African Students (Masters, Courses, Foreign Trade, Business)
Masters in International Business and Foreign Trade (MIB AI) MIB and APEL (Accreditation of Prior Experiential Learning)
Doctorate in International Business (DIB AI) Online MIB and APEL (Accreditation of Prior Experiential Learning)
Artificial Intelligence (AI) for Global Business (Online Course
Global Transport and Logistics
We Trust in Africa (Affordable Higher Education for Africans)
Harmony of Religions. Sri Ramakrishna Principle and Global Business
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AI applications in logistics, customs procedures, inventory management, and demand forecasting

Artificial Intelligence (AI) for Global Business (Online Course
Course: AI for Global Business

AI Introduction, Technologies, Global Trade,  Strategy, Supply Chain, Digital Trade, Marketing, Cross-Cultural, Finance, Ethical, Sustainability, Future Trends, Global Ethics

This subject explores the transformative role of Artificial Intelligence (AI) in optimizing global supply chain management. It covers AI technologies like machine learning, generative AI, and predictive analytics, focusing on their applications in planning, sourcing, manufacturing, and logistics. Through case studies, practical exercises, and strategic discussions, learners will understand how AI enhances efficiency, resilience, sustainability, and decision-making in complex, global supply chains while addressing implementation challenges and ethical considerations.

Syllabous

  1. Introduction to AI in Global Supply Chain Management
    1. Case Study: Key Applications of AI in African, Asian and Latin American Supply Chains
    2. Case Study: AI-Driven Smart Supply Chain at Alibaba's Cainiao Network
    3. Case Study: AI-Driven Transformation of Supply Chain Operations at AgroAndes S.A.
  2. AI applications in logistics, customs procedures, inventory management, and demand forecasting.
    1. Case Study: AI-Driven Supply Chain Transformation at DHL
    2. Case Study: Zara – AI-Driven Agility in Fashion Supply Chains
  3. Optimizing global supply chains with AI (route optimization, Risk management, warehouse automation).
    1. Case Study: Optimizing Global Supply Chains with AI — DHL’s Transformation Journey
  4. Demand forecasting in multi-country contexts
    1. Case Study: Demand Forecasting for a Global Apparel Brand
  5. ESG tracking in international supplier networks
    1. Case Studies: Patagonia (Leading Transparency and Supplier Engagement), Unilever (Leveraging EcoVadis for Global Supplier ESG Assessments), Walmart (Blockchain for Supply Chain Transparency in Seafood Sourcing)
  6. Case Study: IBM Watson Supply Chain
  7. Case Study: Maersk’s AI-driven logistics
  8. Case Study: Walmart’s supply chain automation.

African Students (Masters Foreign Trade, AI)

The Subject “AI in Global Supply Chain Management” is included within the curriculum of the following academic programs at EENI Global Business School:

Courses: Transport in Africa, Road transport, Multimodal Transport.

Certificate in International Transport

Certificate in International Transport

Postgraduate Certificate in International Trade.

Postgraduate Professional Certificate (PGCert) in International Trade, AI

Masters: International Business, Foreign Trade, International Transport, Logistics in Africa, Business in Africa.

Masters in International Business and Foreign Trade (MIB AI)

Doctorate: World Trade, Global Logistics, African Business, Global Ethics, Religions, and International Business

Doctorate in International Business (DIB AI) Online

Languages: Masters, Doctorate, International Business, English or Study Master Doctorate in International Business in Spanish IA en la gestión de la cadena de suministro global Study Doctorate in International Business in French IA (chaîne d'approvisionnement mondiale) Masters Foreign Trade in Portuguese IA na gestão da cadeia de suprimentos global.


Key Topics:

  1. AI Fundamentals: Introduction to AI, ML, generative AI, and their relevance to supply chains.
  2. Core Applications: AI in demand forecasting, inventory management, route optimization, supplier management, and risk mitigation.
  3. Benefits and Challenges: Cost savings, improved visibility, and resilience vs. data quality issues, integration complexity, and ethical risks.
  4. Case Studies: Real-world examples from companies like Sanofi, DHL, and Walmart showcasing AI-driven supply chain success.
  5. Implementation Strategies: Steps for adopting AI, including data preparation, pilot projects, and human-AI collaboration.
  6. Sustainability and Ethics: Using AI to reduce emissions, ensure compliance, and address ethical concerns like bias.
  7. Future Trends: Digital twins, IoT integration, and AI’s role in navigating geopolitical and environmental disruptions.

(c) EENI Global Business School (1995-2025)
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