What you'll learn:
- Generative AI in Logistics
- Generative AI in Supply Chain Management
- Understand the core concepts, capabilities of Generative AI
- Access and apply a categorized 1000+ expert-level GenAI prompts tailored for supply chain functions
- Learn the difference between Generative AI and Predictive AI in the context of supply chain management
- Master the basics of prompt engineering specifically tailored for SCM professionals
- Design and structure effective prompts, prompt chains, and reusable templates
- Use GenAI to optimize route planning, inventory forecasting, and supplier evaluation
- Apply GenAI to automate compliance checklists, delivery reports, and documentation workflows
- Integrate external signals like weather, news, and social media into forecasting models
- Create narrative summaries and dashboards using GenAI for logistics performance and risk reporting
- Explore real-world GenAI applications through case studies from Walmart, FedEx, Siemens, Maersk, and Unilever
- Learn to embed GenAI into ERP systems (SAP, Oracle), TMS, and WMS through APIs and plugins
- Use GenAI for sustainability efforts, including emission tracking and ESG report generation
- Automate RFQ analysis, vendor scoring, stock-out simulations, and procurement narratives
- Leverage voice-AI and real-time assistants for warehouse and fleet operations
- Utilize no-code tools and integrations to deploy GenAI within logistics operations
- Build AI-enhanced workflows for resilience planning, scenario simulations, and decision support
- Become capable of designing intelligent, prompt-driven logistics ecosystems for the future of supply chain management
This comprehensive course explores the transformative role of Generative AI (GenAI) in revolutionizing logistics and supply chain management. Designed for professionals, analysts, planners, and strategists, the program begins with a foundational understanding of what Generative AI is—covering its core concepts, capabilities, and how it differs from traditional predictive AI in the context of supply chain operations. Learners will then explore real-world relevance through use cases such as delivery optimization, forecasting, sourcing, and warehouse planning.
The course teaches the fundamentals of prompt engineering tailored specifically for SCM professionals. Participants will learn how to write effective prompts, structure multi-step queries, and utilize prompt chaining to simulate real-world logistics scenarios. Through examples and templates, learners will gain hands-on skills to use GenAI for route planning, inventory control, supplier evaluation, and risk forecasting. Advanced modules delve into integrating external signals like weather, market news, and social media into AI-driven time series forecasting, enabling more adaptive and resilient planning.
Specialized lectures highlight applications such as generating EOQ formulas, automating compliance documents, streamlining customs paperwork, and managing multi-echelon inventories using GenAI. Case studies from industry leaders like Walmart, Maersk, Siemens, FedEx, and Unilever illustrate how GenAI is actively shaping modern logistics and procurement practices. Learners will also explore sustainability use cases—such as emission tracking, ESG narrative generation, and circular logistics planning.
The course culminates in hands-on learning through custom prompt libraries, the use of no-code tools, ERP integrations (SAP, Oracle), and real-world plugin examples for transportation planning. With over 1000 expertly designed prompts, learners will be fully equipped to implement GenAI in daily logistics workflows, strategic sourcing, blockchain tracking, and compliance monitoring—making this course a future-ready learning journey for the intelligent supply chain.
