The Supply Chain Analytics and AI Optimization course in Budapest equips professionals with the tools to leverage AI and analytics for optimizing supply chain performance and decision-making.
From:
22-06-2026
From:
16-11-2026
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 Budapest provide professionals with a deep understanding of how data-driven methodologies and intelligent technologies can enhance supply chain planning, coordination, and performance. Designed for supply chain managers, data analysts, operations leaders, procurement professionals, and logistics specialists, these programs explore how analytical insights and AI-driven tools enable organizations to optimize cost, efficiency, resilience, and responsiveness across end-to-end supply networks.
Participants gain a solid foundation in supply chain analytics, including demand forecasting, inventory optimization, procurement analysis, transportation planning, and supplier performance evaluation. The courses emphasize how advanced analytical models and machine learning algorithms support scenario planning, risk anticipation, and continuous operational improvement. Through practical case studies and applied training exercises, attendees learn to work with supply chain datasets, evaluate key performance indicators, and develop insights that improve coordination and strategic decision-making.
These supply chain optimization and AI training programs in Budapest also explore the role of automation, predictive analytics, and real-time monitoring in enhancing supply chain agility. Participants examine how AI technologies contribute to proactive decision support, dynamic resource allocation, and improved visibility across global supply networks. The curriculum ensures a balanced approach, combining data science techniques with practical supply chain strategy to ensure participants can translate analytical outputs into effective operational actions.
Attending these training courses in Budapest provides a collaborative learning environment enriched by expert instructors and professionals from diverse industry sectors. The city’s growing innovation and logistics ecosystem offers an ideal context for exploring the future of supply chain intelligence and digital transformation. By completing this specialization, participants will be equipped to design data-informed supply chain strategies, leverage AI-powered optimization tools, and lead resilient and efficient supply networks in an increasingly dynamic and competitive global marketplace.