A Highly Interactive Training Course On

AI-Powered Logistics: Optimizing Supply Chain Operations

Harnessing Artificial Intelligence to Enhance Efficiency, Reduce Costs, and Drive Smart Decision-Making in Logistics

AI-Powered Logistics: Optimizing Supply Chain Operations
Course Schedule

CLASSROOM

26-30 May 2025
Dubai
$5,950
04-08 Aug 2025
London
$5,950
13-17 Oct 2025
Dubai
$5,950
15-19 Dec 2025
Dubai
$5,950
23-27 Feb 2026
Dubai
$5,950
Certificate
  • Coventry Academy Certificate of Attendance will be provided to delegates who attend and complete the course

Training Overview

Training Overview

The global supply chain landscape is rapidly evolving, driven by advancements in technology, shifting market demands, and growing complexities in logistics management. Traditional logistics systems often face inefficiencies, disruptions, and limited real-time visibility. As a result, businesses are increasingly seeking innovative solutions to optimize logistics processes, improve efficiency, and support better decision-making.

Artificial Intelligence (AI) is playing a key role in transforming logistics and supply chain management by enabling predictive analytics, automation, and real-time data access. AI-powered logistics solutions enhance transportation efficiency, reduce operational costs, improve warehouse management, refine demand forecasting, and boost overall supply chain resilience.

The AI-Powered Logistics: Optimizing Supply Chain Operations training course is designed to equip professionals with in-depth knowledge of how AI is reshaping logistics and supply chain management. The course covers AI-driven demand forecasting, advanced inventory management, route optimization, warehouse automation, and supply chain risk management. Participants will gain practical insights into using AI tools to streamline operations and drive supply chain efficiency.

By the end of the training course, participants will be prepared to integrate AI-powered strategies into their logistics and supply chain operations, enabling smarter, faster, and more cost-effective results.

What are the goals?

By the end of this training course, participants will be able to:

  • Understand the role and impact of AI in modern logistics and supply chain management
  • Utilize AI-powered tools for demand forecasting and inventory optimization
  • Implement AI-driven automation in warehouse and transportation management
  • Optimize logistics routes and delivery operations using AI algorithms
  • Enhance real-time visibility and supply chain tracking with AI and IoT
  • Improve risk management and supply chain resilience with predictive analytics
  • Leverage AI for cost reduction and operational efficiency in logistics

Who is this Training Course for?

This training course is suitable to a wide range of professionals but will greatly benefit:

  • Supply Chain and Logistics Managers
  • Procurement and Operations Professionals
  • Warehouse and Distribution Managers
  • Transportation and Fleet Managers
  • AI and Data Science Professionals in Logistics
  • Business Executives and Decision-Makers
  • Professionals looking to implement AI-driven logistics solutions

How will this Training Course be Presented?

This training course will utilise a variety of proven adult learning techniques to ensure maximum understanding, comprehension and retention of the information presented. This includes an interactive mixture of lecture-led learning & group discussions.

The Course Content

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

Providers and Associations

Anderson
Anderson
Aztech Training
Aztech Training