The Supply Chain Analytics and AI Optimization in Vienna is a professional training course designed to help participants leverage data and AI to improve efficiency, resilience, and decision-making in supply chains.
From:
29-12-2025
From:
03-08-2026
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 Vienna equip professionals with the knowledge and practical skills to leverage data analytics and artificial intelligence for optimizing supply chain operations. Designed for supply chain managers, operations analysts, logistics professionals, and business leaders, these programs focus on how to use advanced analytics and AI techniques to improve efficiency, reduce costs, and enhance decision-making across the end-to-end supply chain.
Participants gain a comprehensive understanding of supply chain analytics, including demand forecasting, inventory optimization, logistics planning, and performance measurement. The courses explore how AI-driven tools, machine learning models, and predictive analytics can be applied to anticipate demand fluctuations, identify bottlenecks, and optimize resource allocation. Through hands-on exercises and real-world case studies, attendees learn to build data-driven solutions that improve operational efficiency, enhance supplier management, and enable proactive risk mitigation.
These AI-powered supply chain analytics training programs in Vienna also cover advanced applications such as predictive maintenance, transportation optimization, and scenario planning using machine learning and AI algorithms. Participants will explore how to integrate analytics platforms with enterprise systems, develop dashboards for real-time monitoring, and implement AI models that continuously adapt to changing supply chain conditions. The curriculum emphasizes data governance, model validation, and ethical considerations to ensure responsible and effective AI deployment.
Attending these training courses in Vienna provides professionals with the opportunity to learn from leading experts in supply chain analytics and AI while engaging with peers from diverse industries. Vienna’s strong business ecosystem and focus on innovation make it an ideal environment for exploring advanced supply chain strategies. By completing this specialization, participants will be equipped to implement AI-driven supply chain solutions, optimize operations, improve forecasting accuracy, and drive strategic, data-informed decision-making across their organizations.