A shipment stuck at a border, a delivery van running an inefficient route, or a warehouse still tracking stock on paper - these are the everyday failures that separate a competitive logistics network from one that bleeds money. This course explores the practices reshaping modern logistics and transportation, from automation and data analytics to sustainability and global trade logistics, giving participants a practical toolkit for cutting cost and improving reliability rather than just a theoretical overview.

By the end of the course, participants will understand how to manage logistics and transportation systems end to end, balancing cost, efficiency and customer satisfaction across fleets, warehouses, and delivery networks operating in a fast-changing global trade environment.

Who Should Attend?

• Logistics and supply chain managers, and transportation managers.
• Business and operations students.
• Entrepreneurs and small business owners, along with consultants and analysts.

Course Benefits

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

• Recognise current trends such as digitalisation, automation, and the integration of AI and IoT in logistics management.
• Optimise transportation costs, manage fleets, and improve route planning and scheduling using data analytics for forecasting and performance measurement.
• Apply eco-friendly transportation solutions and green logistics practices, and understand how sustainability shapes the supply chain.
• Develop strategies to mitigate risks such as supply chain disruptions, cybersecurity threats, and natural disasters.
• Understand the role of e-commerce in logistics systems and how technology addresses last-mile delivery challenges, meeting customer expectations through better planning and on-time service.

Module 1: The Modern Logistics and Transportation Landscape

• Overview of logistics and transportation in modern supply chains, and their role in business competitiveness.
• Historical evolution and trends in logistics and transportation, and the impact of globalisation.
• The rise of e-commerce and its impact on logistics.

Module 2: Technology and Data Driving Smarter Logistics

• Automation in warehouses and distribution centres, and the role of AI and machine learning in transportation management.
• IoT and real-time tracking systems, and blockchain technology for logistics and transportation transparency.
• Using big data and analytics for logistics optimisation, and key performance indicators in transportation management.
• Predictive analytics for demand forecasting, and measuring and improving transportation efficiency.

Module 3: Fleet, Route and Last-Mile Optimisation

• Strategies for fleet management: selection, maintenance, and tracking.
• Route planning and optimisation techniques, and managing last-mile delivery challenges.
• Technologies used in e-commerce logistics such as drones, robots, and smart lockers, and cost management and reduction strategies in transportation.

Module 4: Sustainability and Green Transportation

• Understanding the environmental impact of logistics and transportation.
• Green transportation alternatives: electric vehicles, biofuels, and other options.
• Implementing sustainable practices in supply chains, and regulatory frameworks and incentives for green logistics.

Module 5: Managing Risk and Building Resilient Networks

• Identifying and assessing risks in transportation and logistics.
• Managing disruptions such as weather events, strikes, and cybersecurity threats.
• Building a resilient logistics network, and contingency planning and crisis management.

Module 6: Customer-Centric Logistics and Service Excellence

• Aligning logistics and transportation strategies with customer expectations.
• Improving customer experience through timely deliveries and real-time tracking.
• The role of packaging and handling in customer satisfaction, and managing customer complaints and returns in transportation.