Every module within the course has been designed with great care to represent the actual logistics problems as well as the solutions driven by the latest technology.

Module 1: Introduction to Logistics Technology

This module covers the digital transition of logistics and discusses the function of intelligent technologies.

Overview of contemporary logistics management
Logistics operations affected by digital transformation
Need for real-time monitoring for performance and precision
Grasping visibility issues in the supply chain

Module 2: Tracking Systems and GPS Technology

Get to know the technologies supporting live location and asset tracking.
Essential elements of tracking systems
Utilization of GPS (Global Positioning System) for vehicle and route monitoring
Introduction to telematics for real-time vehicle diagnosis
Configuring alert notifications for delivery events

Module 3: RFID and IoT Integration

Discover how networked devices enhance tracking accuracy and speed.
How RFID (Radio-Frequency Identification) facilitates tracking inventory
Practical applications of IoT (Internet of Things) sensors for asset and condition tracking
Blending RFID, IoT, and GPS for greater shipment visibility
Automation through sensor-activated systems

Module 4: Warehouse and Inventory Management

Learn how to control warehouse movement and internal operations.
Warehouse management best practices
Inventory monitoring software and tools to track in real-time
Minimizing shrinkage and misplacement with asset tracking technologies
Space maximization and productivity with automation in logistics

Module 5: Route Optimization and Fleet Management

Learn how to optimize fleet operations and route planning.
Key features of fleet management systems
Route optimization for time and fuel savings
Application of dynamic scheduling to changes in real-time
Improving operational effectiveness with route planning software

Module 6: Monitoring Cold Chain

Special emphasis on temperature-sensitive logistics.
Introduction to cold chain monitoring and its relevance
Employing IoT sensors for temperature and humidity tracking
Sending automatic alert notifications upon threshold violations
Safety and compliance policies in cold logistics

Module 7: Data Analytics and Predictive Tools

Leverage the power of data to make smart decisions.
Introduction to data analytics in logistics
Employing predictive analytics to predict delays and demand
Identifying patterns and streamlining resources
Embedding insights into dashboards for action

Module 8: Control Tower and Real-Time Visibility

Streamline operations and enhance visibility along the chain.
Creating a logistics control tower for command and coordination
Use cases of real-time data visualization in dashboards
Mapping logistics KPIs (Key Performance Indicators) to company objectives
Real-time alerts and corrections through event-driven architecture

Module 9: Automation and Digital Transformation

Uncover tools and strategies for future-proof logistics.
Tools facilitating automation in logistics
Examples of cloud-based solutions in logistics operations
Case studies of successful digital transformation
Employing technology to solve exceptions and facilitate error detection and resolution

Real-Time Monitoring and Tracking in Logistics Training Course in Paris

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