Upon completion of this course, participants will be able to:

• Define the strategic value and key components of a fully **Digitized Supply Chain** (DSC).
• Evaluate and select appropriate digital technologies (IoT, Blockchain, AI, Cloud ERP) for specific SC challenges.
• Design a **Digital Twin** model for simulation and optimization of the supply chain network.
• Implement and leverage **IoT (Internet of Things)** for real-time asset tracking and condition monitoring.
• Understand the application of **Blockchain** for enhanced supply chain traceability and data security.
• Develop a clear **Digital Transformation Roadmap** with milestones and ROI justification.
• Address the challenges of data security, privacy, and system integration in a digital ecosystem.
• Analyze the impact of digitization on organizational structure and required skill sets.

• Supply Chain, Logistics, and Operations Directors
• IT and Digital Transformation Leads
• Enterprise Architects and Systems Integration Managers
• Process Improvement and Continuous Improvement Specialists
• Senior Analysts and Planners focused on technology implementation
• C-Suite Executives overseeing Digital Strategy

• Case study analysis of a company's successful digital twin implementation for logistics optimization.
• Group activity: developing a phased digital transformation roadmap for a medium-sized enterprise.
• Workshop on building a compelling business case and calculating the ROI for an IoT deployment.
• Individual exercise: mapping a data flow and identifying potential security vulnerabilities in the digital chain.
• Discussions on the organizational resistance to change during digitization projects.

Unit 1: Digital Strategy and Foundations

• The difference between digitalization and true digital transformation (DSC)
• The strategic benefits: visibility, automation, predictive intelligence, and resilience
• Mapping the digital supply chain ecosystem and its interconnected elements

• The foundational role of Cloud ERP and core SCM software (WMS, TMS, P2P)
• Introduction to key emerging technologies: IoT, AI/ML, Blockchain

Unit 2: Real-Time Visibility and IoT

• Utilizing **IoT sensors** for real-time tracking of location, temperature, and condition
• Integrating IoT data streams into analytics platforms for continuous monitoring

• The use of **Distributed Ledger Technology (DLT)** for immutable record-keeping
• Application of Blockchain for enhanced product traceability and fraud prevention

Unit 3: Advanced Analytics and Digital Twin

• Leveraging AI/ML for highly accurate predictive demand and risk modeling
• Automating decision-making processes based on predictive insights (prescriptive analytics)

• Concepts and architecture of the **Digital Twin** in a supply chain context
• Using the Digital Twin for network optimization, scenario planning, and testing new strategies

Unit 4: Automation and Process Transformation

• Implementing **RPA** (Robotic Process Automation) for high-volume, low-complexity tasks
• The role of advanced robotics and automation in warehousing and fulfillment

• Redesigning operational processes to maximize the benefit of automation
• Managing the change management required for high-levels of automation

Unit 5: Roadmap, Governance, and Risk

• Developing a phased, prioritized digital transformation roadmap with clear ROI metrics
• Structuring the business case and gaining executive sponsorship for major investments

• Addressing cybersecurity and data breach risks across the interconnected network
• Establishing data governance and ensuring compliance with privacy regulations (e.g., GDPR)