Logistics Management and Artificial Intelligence AI |Smart

Overview

Why Attend

Course Overview

This comprehensive course in Logistics Management and Artificial Intelligence (AI) is designed to provide professionals, logistics managers, and supply chain experts with the knowledge and skills needed to leverage AI technologies for optimizing logistics operations. Participants will gain a deep understanding of how AI can be applied to streamline supply chains, improve forecasting, enhance inventory management, and reduce costs. The course will cover both the theoretical foundations and practical applications of AI in logistics, equipping learners with valuable insights to stay competitive in the rapidly evolving logistics industry.

Course Objectives

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

Who should attend?

Logistics and supply chain professionals
Warehouse managers and supervisors
Procurement and vendor management experts
Transportation and fleet managers
Operations and quality control managers
Anyone interested in understanding the intersection of logistics and artificial

Knowledge and Benefits:

After completing the program, participants will be able to master the following:

Gain a comprehensive understanding of logistics and its role in supply chain
Learn how artificial intelligence (AI) technologies can be effectively integrated into logistics
Learn how to leverage AI for demand forecasting, inventory management, and route
Optimize supply chain processes to reduce costs and improve
Implement AI-driven solutions for route planning, vehicle tracking, and fleet
Use AI to optimize inventory levels and reduce carrying
Implement demand-based inventory strategies to prevent stockouts
Understand the role of robotics and automation in modern
Implement AI-driven solutions for warehouse operations, such as picking and
Improve supplier relationship management through AI-driven
Identify vendor risks and detect fraud using AI

Course Outline

Course Content

Introduction to Logistics and AI:
- Understanding the fundamentals of logistics and its role in supply chain
- Introduction to artificial intelligence and its applications in
- Benefits and challenges of integrating AI into logistics

AI Technologies in Supply Chain Management:
- Machine learning and deep learning for demand
- Natural language processing (NLP) for data extraction and
- Robotics and automation in warehouse

AI for Route Optimization and Fleet Management:
- Optimization algorithms for route planning and delivery
- Real-time tracking and monitoring of vehicles using AI-powered
- Case studies of successful AI-driven fleet management
- Inventory Management with AI:
  - Inventory optimization using predictive
  - Dynamic pricing and demand-based inventory
  - Implementing AI-based demand forecasting
- Warehouse Automation with Robotics and AI:
  - Robotics and autonomous systems in modern
  - Inventory picking and sorting using robotic
- - Safety and ethical considerations in warehouse
  - AI in Supplier and Vendor Management:
    - Enhancing supplier relationship management with AI-driven
    - Vendor risk assessment and fraud detection using
    - Case studies of AI implementations in
  - AI for Quality Control and Predictive Maintenance:
    - Quality control and defect detection using computer
    - Predictive maintenance with AI for equipment and
    - Reducing downtime and optimizing maintenance
  - Ethical and Legal Considerations:
    - Ethical considerations in AI-driven logistics, including bias and
    - Compliance with data privacy regulations and security
    - Ensuring responsible AI deployment in
  - Case Studies and Practical Applications:
    - Analyzing real-world case studies of AI implementations in
    - Group discussions and problem-solving
    - Developing AI-based logistics solutions for specific business
  - Future Trends and Emerging Technologies:
    - Exploring the future of AI in
    - Industry 0 and the integration of IoT and AI.
  Continuous learning and staying updated with evolving technologies.

Schedule & Fees

2026 Schedule & Fees

8 - 12 Nov, 2026

English

Per participant USD 2,900

8 - 12 Nov, 2026

Arabic

Per participant USD 2,900

13 - 17 Dec, 2026

English

Per participant USD 2,900

13 - 17 Dec, 2026

Arabic

Per participant USD 2,900

2027 Schedule & Fees

7 - 11 Feb, 2027

English

Per participant USD 2,900

7 - 11 Feb, 2027

Arabic

Per participant USD 2,900

14 - 18 Mar, 2027

English

Per participant USD 2,900

14 - 18 Mar, 2027

Arabic

Per participant USD 2,900

9 - 13 May, 2027

English

Per participant USD 2,900

9 - 13 May, 2027

Arabic

Per participant USD 2,900

13 - 17 Jun, 2027

English

Per participant USD 2,900

13 - 17 Jun, 2027

Arabic

Per participant USD 2,900

8 - 12 Aug, 2027

English

Per participant USD 2,900

8 - 12 Aug, 2027

Arabic

Per participant USD 2,900

12 - 16 Sep, 2027

English

Per participant USD 2,900

12 - 16 Sep, 2027

Arabic

Per participant USD 2,900

7 - 11 Nov, 2027

English

Per participant USD 2,900

7 - 11 Nov, 2027

Arabic

Per participant USD 2,900

12 - 16 Dec, 2027

English

Per participant USD 2,900

12 - 16 Dec, 2027

Arabic

Per participant USD 2,900