The Supply Chain Analytics and AI Optimization in Amman is a professional training course designed to help participants harness AI and analytics for smarter supply chain management.
From:
22-12-2025
From:
04-05-2026
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 Amman provide professionals with the advanced analytical and technological expertise to enhance efficiency, agility, and decision-making across modern supply chain networks. Designed for supply chain managers, operations leaders, data analysts, and logistics professionals, these programs focus on integrating artificial intelligence and data analytics to optimize end-to-end supply chain performance.
Participants gain a comprehensive understanding of supply chain analytics and how AI-driven technologies revolutionize planning, forecasting, and resource allocation. The courses cover essential topics such as demand forecasting, inventory optimization, logistics analytics, predictive maintenance, and risk management. Through case studies and interactive workshops, participants learn to apply data modeling and machine learning techniques to solve complex supply chain challenges, reduce costs, and improve responsiveness to market fluctuations.
These AI and supply chain optimization training programs in Amman combine strategic management concepts with practical data science applications. Participants explore how advanced algorithms, real-time analytics, and automation tools enhance visibility and collaboration across supply chain functions. The curriculum emphasizes sustainable operations, data-driven decision support, and the use of intelligent systems for scenario analysis and process optimization—preparing professionals to lead digital transformation initiatives in supply chain management.
Attending these training courses in Amman offers professionals the opportunity to collaborate with international experts and peers in a thriving, innovation-oriented learning environment. The city’s growing prominence in logistics, technology, and business innovation makes it an ideal setting for mastering modern supply chain solutions. By completing this specialization, participants will be equipped to implement AI-powered analytics frameworks, enhance operational performance, and build agile, resilient, and intelligent supply chains that drive long-term success in an increasingly data-driven global economy.