Course on Modern Technologies in Logistics Management

In today’s rapidly evolving business environment, Modern Technologies in Logistics Management, delivered by Geneve Institute of Business Management, offers a strategic and operational lens into the digital transformation of logistics. This course is designed to empower participants with the essential knowledge and tools required to manage logistics processes with greater efficiency, agility, and intelligence. With the rise of automation, smart tracking systems, and data-driven decision-making, mastering advanced logistics technologies has become crucial for sustaining competitive advantage and delivering superior customer value.

Target Group

• Supply chain and logistics professionals seeking to upgrade their digital competencies.

• Operations managers and warehouse supervisors aiming to optimize performance.

• Procurement and sourcing officers involved in end-to-end supply coordination.

• Employees of shipping companies, ports, and logistics zones.

• IT and system specialists managing inventory and tracking systems.

• Executives driving digital transformation in logistics departments.

Objectives

• To provide participants with an advanced understanding of modern logistics frameworks.

• To explore smart systems for real-time inventory, transport, and demand planning.

• To improve operational efficiency by applying integrated logistics technologies.

• To equip attendees with tools for reducing operational costs and delivery times.

• To familiarize participants with emerging innovations like AI, IoT, and cloud solutions.

• To support the development of adaptive logistics systems in dynamic markets.

Course Outline

 Advanced Concepts in Logistics

• • Differentiating logistics from the supply chain.

  • Key components of a modern logistics system.

  • Logistics as a driver of customer satisfaction.

  • Impact of logistics on operational cost efficiency.

• Evolution of Supply Chain Management

  • Historical shifts in supply chain practices.

  • Adapting to global market fluctuations.

  • Integrated supplier relationship strategies.

  • Challenges in complex sourcing environments.

• Digitalization in Logistics Operations

  • Transitioning from traditional to digital models.

  • Role of ERP systems in connecting departments.

  • Shipment and inventory tracking applications.

  • Automation in warehouses and distribution centers.

• AI and Predictive Analytics in Logistics

  • Applying AI to forecast customer demand.

  • Anticipating market shifts using data trends.

  • Route optimization through smart algorithms.

  • Data-based decision-making in logistics.

• Smart Inventory Management

  • Use of RFID and auto-identification tools.

  • Warehouse Management Systems (WMS).

  • Monitoring reorder points accurately.

  • Aligning inventory with sales and distribution.

• Transportation and Distribution Planning

  • Selecting optimal transportation methods.

  • Scheduling and dispatching logistics resources.

  • Coordination between depots and delivery sites.

  • Enhancing efficiency in last-mile delivery.

• Resilient and Sustainable Supply Chains

  • Designing supply chains for flexibility.

  • Crisis and disruption management in logistics.

  • Embedding sustainability in sourcing and delivery.

  • Reducing carbon footprint through logistics design.

• Tracking and Control Technologies

  • Real-time monitoring via GPS and sensors.

  • Performance dashboards and alerts.

  • Transportation Management Systems (TMS).

  • Operational data analysis for optimization.

• Cloud Integration in Logistics

  • Benefits of cloud computing in logistics.

  • Connecting suppliers through cloud platforms.

  • Real-time data updates and sharing.

  • Cloud security in supply chain systems.

• The Future of Logistics Technologies

  • Drones and robotics in warehouse automation.

  • 3D printing and its impact on logistics flows.

  • Smart cities and urban logistics solutions.

  • IoT-enabled transportation and delivery systems.