The Supply Chain Analytics and AI Optimization in Madrid is an advanced training course designed to help professionals harness the power of data analytics and AI to enhance supply chain performance and decision-making.
From:
02-03-2026
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 Madrid provide professionals with advanced knowledge and practical skills to enhance supply chain performance using data analytics and artificial intelligence. Designed for supply chain managers, operations leaders, data analysts, and logistics professionals, these programs focus on leveraging AI-driven insights to optimize inventory management, demand forecasting, procurement, and overall operational efficiency.
Participants explore key concepts in supply chain analytics, including predictive modeling, demand planning, network optimization, risk management, and performance monitoring. The courses emphasize how AI technologies such as machine learning, optimization algorithms, and intelligent automation can transform supply chain processes, improve decision-making, and reduce costs. Through practical exercises, case studies, and interactive simulations, attendees gain hands-on experience in applying analytics and AI solutions to solve real-world supply chain challenges.
These AI and supply chain analytics training programs in Madrid blend theoretical frameworks with applied methodologies. The curriculum covers data integration, predictive and prescriptive analytics, scenario planning, and dashboard reporting to support end-to-end supply chain visibility. Participants also explore emerging trends in smart logistics, AI-powered decision support systems, real-time monitoring, and digital twins, enabling organizations to respond proactively to disruptions, enhance resilience, and drive operational agility.
Attending these training courses in Madrid provides a collaborative, expert-led learning environment enriched by global perspectives and practical applications. Madrid’s dynamic business and innovation ecosystem offers an ideal backdrop to explore advanced supply chain analytics and AI solutions. By completing this specialization, participants will be equipped to harness analytics and AI technologies to optimize supply chain operations, improve strategic planning, and deliver measurable efficiency, cost savings, and competitive advantage in today’s rapidly evolving global market.