The Supply Chain Analytics and AI Optimization in Brussels is a professional training course designed to equip participants with skills to leverage analytics and AI for smarter supply chain management.
From:
20-07-2026
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 Brussels provide professionals with advanced knowledge and practical techniques for improving efficiency, resilience, and decision-making across complex supply chain operations. Designed for supply chain managers, data analysts, operations planners, procurement specialists, and logistics professionals, these programs focus on integrating data analytics and artificial intelligence to enhance forecasting accuracy, streamline processes, and optimize resource allocation.
Participants gain a strong foundation in supply chain analytics, exploring data modeling, performance measurement, predictive demand planning, and scenario analysis. The courses highlight how analytical insights can be applied to inventory control, transportation management, procurement strategies, and supplier coordination. Through hands-on exercises and real-world case studies, attendees learn to use digital platforms and analytical tools to monitor performance indicators and identify improvement opportunities across end-to-end supply chain networks.
These AI-driven supply chain optimization training programs in Brussels also emphasize the strategic use of intelligent automation, machine learning algorithms, and advanced planning systems. Participants examine how AI supports dynamic routing, real-time inventory visibility, risk mitigation, and demand-supply balancing in rapidly changing environments. The curriculum balances theoretical frameworks with applied learning, ensuring that professionals can design and implement data-based strategies that improve operational reliability and cost-efficiency.
Attending these training courses in Brussels offers access to an international business hub where professionals exchange knowledge with peers and industry experts from around the world. The city’s global connectivity and diverse commercial landscape create an ideal environment for exploring emerging trends in digital supply chain transformation. By completing this specialization, participants will be equipped to leverage analytics and AI methods effectively—enhancing supply chain transparency, strengthening competitiveness, and enabling agile, data-informed decision-making in an increasingly interconnected global marketplace.