The Supply Chain Analytics and AI Optimization course in Istanbul is designed to help professionals leverage analytics and artificial intelligence to optimize supply chain operations and drive efficiency.
From:
23-03-2026
From:
08-06-2026
From:
23-11-2026
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 Istanbul provide professionals with advanced analytical tools and strategic insights to enhance supply chain efficiency, agility, and decision-making through data-driven technologies. Designed for supply chain managers, data analysts, operations leaders, logistics professionals, and digital transformation specialists, these programs explore how analytics and artificial intelligence are reshaping modern supply chain management.
Participants gain a deep understanding of supply chain analytics, including data modeling, performance measurement, forecasting techniques, and real-time visibility solutions. The courses emphasize how organizations can leverage data to identify patterns, predict disruptions, improve demand planning, optimize inventory levels, and streamline logistics operations. Through hands-on exercises, simulations, and case studies, attendees learn to apply analytical tools to solve complex supply chain challenges and improve strategic planning.
These AI-driven supply chain optimization programs in Istanbul integrate analytical frameworks with emerging technologies to demonstrate how automation, machine learning, and predictive modeling enhance operational performance. The curriculum covers AI-enabled demand forecasting, route optimization, dynamic pricing, risk identification, scenario planning, and digital twin technologies. Participants also explore data governance, algorithmic decision-making, system integration, and the role of AI in supporting resilient and sustainable supply chain networks.
Attending these training courses in Istanbul provides a vibrant learning environment shaped by the city’s expanding digital innovation ecosystem and strong regional logistics capabilities. Expert-led discussions and cross-industry collaboration allow participants to benchmark best practices, explore practical applications, and understand the global trends influencing data-driven supply chain transformation.
By completing this specialization, professionals will be equipped to integrate analytics and AI solutions into core supply chain processes. They will gain the skills needed to drive efficiency, increase visibility, reduce risk, and support strategic decision-making—ultimately enabling their organizations to thrive in an increasingly complex, fast-paced, and technology-driven global marketplace.