دورات تدريبية باللغة العربية

Course Overview

In today’s era of global complexity, supply chain and logistics professionals must leverage advanced technologies to achieve superior efficiency, agility, and resilience.
This AI-Powered Logistics & Supply Chain Operations Course equips participants with practical skills to integrate artificial intelligence into logistics processes, transforming traditional supply chains into intelligent, responsive networks.
Participants will explore AI applications in demand forecasting, inventory management, transportation optimization, and automated warehouse operations.
Through hands-on exercises and real-world case studies, delegates will learn how AI enhances decision-making, mitigates risks, and delivers measurable cost savings while creating smarter, more efficient supply chains.

Course Objectives

By the end of this course, participants will be able to:
  • Understand the transformative role of AI in modern logistics and end-to-end supply chain management.
  • Utilize AI-powered tools for accurate demand forecasting and inventory optimization.
  • Implement AI-driven automation in warehouse management and transportation operations.
  • Optimize logistics routes and last-mile delivery using advanced AI algorithms.
  • Enhance real-time visibility and supply chain tracking through AI and IoT integration.
  • Improve risk management and supply chain resilience using predictive analytics.
  • Leverage AI insights to reduce operational costs and boost efficiency across the logistics network.

Course Audience

This course is ideal for professionals responsible for driving efficiency, innovation, and resilience in supply chain operations:
  • Supply Chain and Logistics Managers
  • Procurement and Operations Professionals
  • Warehouse and Distribution Center Managers
  • Transportation and Fleet Managers
  • AI and Data Science Professionals in Logistics
  • Business Executives and Strategic Decision-Makers
  • Professionals aiming to implement AI-driven logistics solutions

Course Methodology

This course combines expert-led interactive lectures with collaborative discussions and practical exercises. Participants will:

  • Gain hands-on experience using AI tools to analyze logistics data.
  • Simulate optimization scenarios for inventory, routing, and risk management.
  • Develop AI-driven strategies for end-to-end supply chain operations.
  • Apply knowledge from real-world case studies to ensure immediate applicability.

The experiential “learning by doing” approach ensures participants can confidently implement AI solutions in their own supply chain environments.

Course Outline

Day 1: Introduction to AI in Logistics and Supply Chain Management
  • Overview of AI and its role in modern logistics
  • AI-powered logistics vs. traditional supply chains
  • Key AI technologies: Machine Learning, Predictive Analytics, IoT, Automation
  • Case studies of AI-driven logistics transformations
  • Practical session: Introduction to AI-powered logistics tools
Day 2: AI-Driven Demand Forecasting and Inventory Optimization
  • Importance of accurate demand forecasting
  • AI techniques for predictive demand planning
  • Inventory management and stock optimization using AI
  • Reducing supply chain disruptions with AI-driven forecasting
  • Hands-on session: Using AI models for demand forecasting
Day 3: AI in Transportation and Route Optimization
  • AI-powered logistics networks and route optimization algorithms
  • Real-time traffic analysis and dynamic route planning
  • Autonomous vehicles and AI-driven fleet management
  • AI applications in last-mile delivery
  • Hands-on session: AI-based transportation and route planning
Day 4: AI in Warehouse Management and Supply Chain Automation
  • AI-powered warehouse automation and robotics
  • Smart sorting, picking, and packing with AI systems
  • Real-time inventory tracking with AI and IoT
  • Enhancing efficiency through AI-driven process automation
  • Hands-on session: Implementing AI in warehouse management
Day 5: AI for Risk Management and Future Trends in Logistics
  • AI-driven supply chain risk assessment and mitigation
  • Enhancing security and fraud detection with AI
  • AI and blockchain integration for transparency in logistics
  • Emerging trends, challenges, and opportunities in AI logistics
  • Final case study and group discussion on AI-powered supply chain success

Certificates

On successful completion of this training course, HighPoint Certificate will be awarded to the delegates. .

Upcoming Courses

Kuala Lumpur - Malaysia
27-31 Oct 2025
$3950
Kuala Lumpur - Malaysia
03-07 Nov 2025
$3950
Kuala Lumpur - Malaysia
10-14 Nov 2025
$3950
Kuala Lumpur - Malaysia
17-21 Nov 2025
$3950
Kuala Lumpur - Malaysia
24-28 Nov 2025
$3950
Kuala Lumpur - Malaysia
01-05 Dec 2025
$3950
Kuala Lumpur - Malaysia
08-12 Dec 2025
$3950
Kuala Lumpur - Malaysia
15-19 Dec 2025
$3950
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