Training on Supply Chain Digital Transformation and Emerging Technologies

Module 1: The Imperative for Digital Transformation

• Defining digital transformation beyond digitization.

• Key drivers: customer expectations, volatility, and data proliferation.

• The digital maturity model and assessing your organization’s readiness.

• Case Study/Hands-on Exercise: Conduct a digital maturity assessment for a sample company across people, processes, and technology to identify key gaps and opportunities.

Module 2: Artificial Intelligence and Machine Learning in Supply Chain

• Distinguishing AI, ML, and deep learning.

• Key use cases: demand sensing, predictive maintenance, and autonomous planning.

• Building vs. buying AI solutions and managing data requirements.

• Case Study/Hands-on Exercise: Evaluate three business cases for AI (e.g., warehouse robotics, demand forecasting, supply chain control tower) and recommend the highest ROI opportunity for a specific industry.

Module 3: Internet of Things (IoT) and Real-Time Visibility

• IoT architecture: sensors, connectivity, and platforms.

• Use cases: asset tracking, cold chain monitoring, and vehicle telematics.

• Integrating IoT data with core systems (ERP, TMS, WMS).

• Case Study/Hands-on Exercise: Design an IoT solution for a specific supply chain challenge (e.g., tracking high-value assets across a global network), specifying sensor types, data frequency, and expected business benefits.

Module 4: The Digital Twin: Simulation and Optimization

• What is a digital twin and how it differs from a simulation model.

• Building a digital twin of a supply chain network or distribution center.

• Using the digital twin for scenario planning and stress testing.

• Case Study/Hands-on Exercise: Outline the requirements for building a digital twin of a company’s distribution network, defining the data sources, the types of scenarios to test (e.g., demand surge, port closure), and the expected decision-making benefits.

Module 5: Blockchain for Supply Chain Transparency

• Fundamentals of distributed ledger technology.

• Use cases: provenance tracking, trade finance, and smart contracts.

• Evaluating the business case and overcoming implementation hurdles.

• Case Study/Hands-on Exercise: Analyze a pilot project where blockchain is used to track a product from origin to consumer, identifying the value created for each stakeholder (e.g., producer, logistics provider, retailer, consumer).

Module 6: Robotics and Autonomous Systems

• Advances in warehouse and transportation robotics.

• Autonomous vehicles: trucks, drones, and yard dogs.

• Human-robot collaboration and the future of work.

• Case Study/Hands-on Exercise: Develop a strategic roadmap for introducing autonomous mobile robots (AMRs) into a distribution center, including a timeline, technology selection criteria, and a plan for workforce transition.

Module 7: Cloud Computing and Supply Chain Platforms

• The shift from on-premise to cloud-based supply chain platforms.

• Understanding platform economics and network effects.

• Data integration and the API economy in logistics.

• Case Study/Hands-on Exercise: Evaluate the potential of migrating a company’s core supply chain systems (ERP, TMS, WMS) to a unified cloud platform, weighing the benefits of integration against the costs and risks of migration.

Module 8: Building a Business Case and Measuring ROI

• Identifying and quantifying tangible and intangible benefits.

• Cost estimation for technology implementation (CAPEX, OPEX).

• Managing the risk of technology projects and pilot programs.

• Case Study/Hands-on Exercise: Create a financial business case for implementing a supply chain control tower platform, including costs, projected savings from visibility (e.g., reduced inventory, expedite cost reduction), and a calculation of payback period.

Module 9: Change Management and Talent for Digital Transformation

• The critical role of culture and leadership.

• Upskilling the workforce and attracting digital talent.

• Managing organizational resistance and fostering an innovation mindset.

• Case Study/Hands-on Exercise: Develop a change management plan for a major digital transformation initiative, including stakeholder mapping, communication strategies, and a training program for different user groups.

Module 10: The Future Supply Chain and Implementation Roadmap

• Emerging trends: autonomous supply chains, generative AI, and sustainability tech.

• Developing a multi-year digital transformation roadmap.

• Creating an agile governance structure for continuous technology evolution.

• Case Study/Hands-on Exercise: Create a 3-year digital transformation roadmap for a logistics company, prioritizing initiatives (e.g., IoT, AI planning, robotics), sequencing projects, and defining key milestones.