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AI for Supply Chain Management

Cross-cutting
Digital Skills

IA Academy

Duration

35h

PRESENTATION

The modern supply chain faces unprecedented challenges: demand volatility, global disruptions and the need for maximum operational efficiency. In this context, the Artificial Intelligence (AI) emerges as the key technology for transforming logistics management, allowing for a smarter and more proactive decision-making.
The AI Course for Supply Chain Management addresses the growing demand for professionals capable of implementing AI solutions that optimize every link in the chain, from the demand forecasting until the inventory management and route optimization.
Students will learn to apply machine learning algorithms for analyze large volumes of data, identify patterns y predict trends.

Objectives

  • Understanding the Role of AI in the supply chain.

  • Forecasting Demand and Optimizing Inventory using AI.

  • Improving transportation efficiency and routes.

  • Applying AI to Smart Warehouse Management.

  • Identify and Mitigate Risks in the supply chain using AI.

  • Develop AI solutions for traceability.

Syllabus

TEACHING UNIT 1. FUNDAMENTALS OF THE SUPPLY CHAIN AND THE ROLE OF AI The Birth of Mass Production The Pursuit of Flexibility and Global Logistics The Emergence of the ‘Big Data’ Ecosystem AI Agents TEACHING UNIT 2. DATA ANALYSIS AND BIG DATA IN LOGISTICS Big Data vs. Artificial Intelligence Optimization and Cost Reduction Data Quality: The Key to Success The Technological Ecosystem in Data Management Use Cases Current Challenges in Implementation TEACHING UNIT 3. DEMAND FORECASTING WITH MACHINE LEARNING Demand Forecasting in the Supply Chain A New Era Applications and Specialization Use Cases LEARNING UNIT 4. INVENTORY AND WAREHOUSE OPTIMIZATION WITH AI Inventory and Warehouse Optimization with AI Warehouse Orchestration: The WMS System The Warehouse of the Future Use Cases Some Conclusions LEARNING UNIT 5. ROUTE AND TRANSPORTATION OPTIMIZATION WITH AI The Transformation of Logistics Through AI, Big Data, and the IoT The Beginnings of Planning Processes Algorithms to the Rescue AI and the Paradigm Shift Environmental Responsibility Beyond Route Optimization Conclusion: The Supply Chain as a Single Flow TEACHING UNIT 6. RISK DETECTION AND SUPPLY CHAIN RESILIENCE WITH AI AI in Logistics: Challenges, Investment, and Resilience Transition to AI Types of Risks in the Supply Chain Use Cases Supply Chain Management During Crises Risks Associated with AI Adoption Conclusions TEACHING UNIT 7. AI AND AUTOMATION IN THE SUPPLY CHAIN Pillars of the Modern Supply Chain: AI, Data, and Automation Technology Stack Information Flow From ERP and WMS to Cognitive Systems: The Evolution of Supply Chain Management Scalability with Cloud Computing Use Cases for the Digital Twin in Different Industries Relevant Case Study: Inditex Relevant Case Study: Mercadona—Logistics Excellence and Automation The Democratizing Role of Software as a Service (SaaS) Conclusion: Technology at Everyone’s Service TEACHING UNIT 8. IMPLEMENTATION, ETHICS, AND FUTURE TRENDS OF AI IN LOGISTICS Ethical governance and sustainability in the supply chain Supply chains: transparency, AI, and ethics The Future of AI in Logistics: Disruptive Technologies Applications in Logistics and Use Cases Quantum Computing in Logistics Future Scenarios (Beyond 2030) Cybersecurity in the Supply Chain: A Critical Challenge The Digital Divide in the Supply Chain
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Are the Educa PHAROS courses eligible for credit?

Many courses can be credited toward the master's programs at Structuralia.
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Facts about our area

+ 1.483

Hours

+88.999

Minutes

264

Courses

Educa PHAROS is a next-generation training model that places a company’s human capital at the forefront. Through a platform that adapts to each company’s corporate identity and offers a total of more than 900 courses, it provides tailored training for each organization. The unlimited flat-rate plan provides each company with the number of courses that best suits its needs, as well as the ability to determine which employees will have access.
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