Introduction

The Internet of Things (IoT) is revolutionizing supply chain management (SCM) by enabling real-time visibility, automation, and data-driven decision-making. With smart sensors, RFID tracking, GPS, and AI-driven analytics, IoT enhances logistics efficiency, inventory management, and predictive maintenance. This course provides supply chain professionals with a deep understanding of IoT applications, technologies, and implementation strategies, ensuring they stay ahead in the era of smart, connected supply chains.

Course Objectives

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

• Understand the fundamentals of IoT and its role in modern supply chains.
• Implement IoT solutions for real-time tracking, inventory management, and asset monitoring.
• Explore RFID, GPS, and sensor-based automation in logistics.
• Leverage IoT analytics for predictive maintenance and demand forecasting.
• Enhance supply chain security and risk management using IoT.
• Integrate IoT with AI, blockchain, and cloud computing.
• Develop an IoT implementation roadmap for their organization.

Who Should Attend?

This course is ideal for:

• Supply Chain & Logistics Managers optimizing IoT-driven operations.
• Operations & Warehouse Directors improving inventory control and asset tracking.
• IT & Digital Transformation Leaders implementing IoT solutions in SCM.
• Fleet & Transportation Managers enhancing real-time shipment monitoring.
• Retail & E-commerce Professionals streamlining order fulfillment with IoT.
• Manufacturing & Procurement Leaders utilizing IoT for production efficiency.

Course Outline

Day 1: Introduction to IoT & Its Impact on Supply Chain

Morning Session: Understanding IoT in SCM

• What is IoT, and how does it work?
• Key components: Sensors, RFID, GPS, cloud platforms, and AI integration.
• IoT vs. traditional supply chain management approaches.
• Case study: How Amazon uses IoT for warehouse automation and logistics.

Afternoon Session: IoT-Driven Real-Time Supply Chain Visibility

• Live shipment tracking with GPS, RFID, and cloud platforms.
• Real-time inventory management using smart sensors.
• Hands-on demo: IoT-based tracking and monitoring system.

Day 2: IoT for Inventory, Warehousing & Asset Management

Morning Session: Smart Warehousing with IoT

• Automated warehouse systems with IoT sensors and robotics.
• IoT-enabled demand forecasting and stock optimization.
• Case study: Walmart’s IoT-powered inventory tracking.

Afternoon Session: Asset Tracking & Condition Monitoring

• IoT-driven cold chain monitoring for perishable goods.
• Preventing loss, theft, and damage with real-time asset tracking.
• Workshop: Designing an IoT-based inventory management system.

Day 3: IoT for Logistics, Fleet Management & Last-Mile Delivery

Morning Session: IoT-Enabled Fleet & Transportation Management

• Optimizing routes and fuel consumption with AI & IoT analytics.
• IoT-based predictive maintenance for vehicle fleets.
• Case study: UPS’s IoT-powered ORION system for logistics.

Afternoon Session: Last-Mile Delivery & Autonomous Logistics

• Smart delivery solutions: Drones, autonomous trucks, and smart lockers.
• Enhancing customer experience with IoT-enabled last-mile tracking.
• Workshop: Developing an IoT strategy for transportation optimization.

Day 4: IoT Security, Compliance & Risk Management

Morning Session: Cybersecurity in IoT-Enabled Supply Chains

• Threats & vulnerabilities: Hacking, data breaches, and cyber risks.
• Best practices for securing IoT networks and data.
• Case study: Mitigating security risks in IoT-enabled supply chains.

Afternoon Session: Regulatory Compliance & Ethical IoT Practices

• Global IoT regulations: GDPR, ISO 27001, and industry standards.
• Ensuring data privacy, ethical sourcing, and sustainability.
• Group discussion: Balancing IoT efficiency with ethical considerations.

Day 5: Future Trends, AI Integration & IoT Roadmap Development

Morning Session: IoT Integration with AI, Blockchain & Big Data

• How AI and machine learning enhance IoT data analysis.
• Blockchain for secure and transparent supply chains.
• Case study: DHL’s IoT and AI-powered logistics ecosystem.

Afternoon Session: Roadmap for IoT Adoption in SCM

• Overcoming barriers to IoT implementation in supply chains.
• Developing an IoT integration strategy for business transformation.
• Final capstone project: Creating an IoT-driven SCM solution.

Training Methodology

This course follows a hands-on, interactive, and industry-relevant approach, including:

• Live demonstrations of IoT tracking and monitoring tools.
• Case studies from leading IoT-driven supply chain companies (Amazon, DHL, Walmart, UPS, Tesla).
• Workshops on IoT solutions for inventory, fleet, and logistics optimization.
• Interactive discussions on cybersecurity and compliance challenges.
• Capstone project: Designing an IoT strategy for real-world supply chain applications.

Certification

Upon successful completion, participants will receive:

• A Certificate of Completion in IoT in Supply Chain Management from Learnify® Training.
• A Digital Badge for LinkedIn and professional recognition.

This certification validates expertise in IoT-driven supply chain transformation, automation, and digital logistics, preparing professionals for future-ready SCM leadership roles.