Course Overview
Global supply chains face increasing challenges, from demand fluctuations to operational risks. This Supply Chain Analytics and AI Optimization Training Course introduces participants to advanced analytics, machine learning, and AI tools that transform supply chain management.
Participants will learn to use predictive models for demand forecasting, optimize logistics with AI, and apply analytics for real-time visibility. Case studies will highlight how industry leaders leverage AI to improve efficiency, reduce costs, and strengthen resilience against disruption.
By the end of the course, attendees will be able to design AI-enabled supply chain strategies that enhance agility, responsiveness, and competitive advantage.
Course Benefits
Apply analytics to improve supply chain efficiency
Use AI to predict demand and manage inventory
Optimize logistics and distribution with data insights
Enhance real-time visibility and risk management
Build resilient and adaptive supply chain strategies
Course Objectives
Explore analytics applications in supply chain management
Apply predictive models for demand forecasting
Use AI for logistics, routing, and inventory optimization
Improve real-time decision-making with analytics dashboards
Address risks and disruptions with AI-enabled systems
Ensure ethical and sustainable AI adoption in supply chains
Build long-term competitive strategies with data insights
Training Methodology
The course combines expert-led lectures, real-world case studies, group discussions, and practical exercises with supply chain datasets and AI platforms.
Target Audience
Supply chain and operations managers
Data analysts and logistics professionals
Business leaders driving operational excellence
Consultants in supply chain and digital transformation
Target Competencies
Supply chain analytics and forecasting
AI-enabled logistics optimization
Risk and disruption management
Strategic supply chain design
Course Outline
Unit 1: Introduction to Supply Chain Analytics
Key concepts of supply chain data and analytics
Benefits and challenges of AI in supply chains
Core KPIs for efficiency and performance
Case studies in data-driven supply chains
Unit 2: Demand Forecasting with AI
Predictive analytics for demand trends
Machine learning models for forecasting accuracy
Handling seasonality and market volatility
Hands-on demand forecasting exercise
Unit 3: Logistics and Inventory Optimization
AI tools for routing and distribution efficiency
Inventory optimization with predictive insights
Warehouse automation and robotics in logistics
Case studies in logistics innovation
Unit 4: Real-Time Visibility and Risk Management
IoT and real-time supply chain monitoring
AI-enabled dashboards for decision-making
Identifying and mitigating risks with analytics
Scenario planning for disruptions
Unit 5: Building Resilient and Sustainable Supply Chains
Strategies for agility and adaptability
Sustainable practices with AI optimization
Governance and ethics in AI supply chain use
Future trends in supply chain transformation
Ready to transform your supply chain with AI?
Join the Supply Chain Analytics and AI Optimization Training Course with EuroQuest International Training and unlock efficiency, resilience, and competitive advantage.
The Supply Chain Analytics and AI Optimization Training Courses in Barcelona provide professionals with the analytical, technological, and strategic skills to enhance efficiency, resilience, and decision-making across global supply networks. Designed for supply chain managers, data analysts, operations leaders, and business strategists, these programs focus on integrating artificial intelligence and advanced analytics to optimize logistics, demand forecasting, procurement, and inventory management.
Participants gain a comprehensive understanding of supply chain analytics and the role of AI optimization in transforming traditional operations into intelligent, data-driven systems. The courses cover predictive modeling, real-time data processing, and optimization algorithms that improve visibility, cost control, and risk mitigation. Through hands-on exercises and practical case studies, participants learn to design and implement analytics frameworks that automate decision-making and enable agile responses to supply chain disruptions.
These AI and supply chain management training programs in Barcelona combine data science with operational strategy, emphasizing practical applications of machine learning, digital twins, and prescriptive analytics. The curriculum explores topics such as demand sensing, transportation optimization, sustainability analytics, and end-to-end performance monitoring. Participants also examine ethical AI governance and data integration challenges, ensuring that technology adoption aligns with corporate and regulatory standards.
Attending these training courses in Barcelona offers professionals an opportunity to engage with global experts and peers in one of Europe’s leading centers for business innovation and digital transformation. The city’s dynamic industrial and technological ecosystem provides an ideal environment for exploring real-world supply chain innovations. By completing this specialization, participants will be equipped to leverage AI and analytics to streamline operations, enhance predictive accuracy, and drive strategic supply chain excellence in an increasingly interconnected and competitive global marketplace.