The Supply Chain Analytics and AI Optimization course in Amsterdam is a specialized training course that equips professionals to use AI and data analytics to optimize supply chain operations.
From:
29-12-2025
From:
06-04-2026
From:
04-05-2026
From:
20-07-2026
From:
28-09-2026
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 Amsterdam provide professionals with the analytical and technological expertise to enhance supply chain performance through data-driven intelligence and artificial intelligence applications. Designed for supply chain managers, operations analysts, data scientists, and logistics professionals, these programs focus on how advanced analytics and AI-driven models can optimize efficiency, resilience, and strategic decision-making in global supply networks.
Participants gain a comprehensive understanding of supply chain analytics, exploring how data collection, predictive modeling, and machine learning algorithms can be applied to forecast demand, manage inventory, and optimize logistics. The courses cover key topics such as demand planning, transportation optimization, risk management, and process automation. Through real-world case studies and hands-on exercises, attendees learn to integrate AI technologies into supply chain systems to achieve greater agility, transparency, and cost-effectiveness.
These AI and supply chain optimization training programs in Amsterdam combine strategic insight with technical application. Participants explore how predictive analytics and optimization algorithms can streamline procurement, production, and distribution processes. The curriculum also emphasizes sustainability analytics, digital twin technology, and end-to-end visibility—helping organizations transition toward intelligent, adaptive, and resilient supply chain ecosystems.
Attending these training courses in Amsterdam offers professionals access to global experts and peers in one of Europe’s most advanced logistics and innovation hubs. The city’s strong technological infrastructure and international trade connections provide an ideal environment for mastering data-driven supply chain transformation. By completing this specialization, participants will be equipped to lead AI-enabled optimization initiatives—leveraging analytics to improve performance, reduce risks, and drive operational excellence in today’s rapidly evolving global marketplace.