Your cart is empty.
Keep shoppingGenerative AI in Logistics and Supply Chain Management
2,385 students
Generative AI in Logistics and Supply Chain Management
1000+ GenAI Prompts for Mastering Logistics and Supply Chain Tasks
Created byEdcorner Learning
Last updated 5/2026
English
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
Explore related topics
Course content
16 sections • 105 lectures • 5h 54m total length
Requirements
- A basic understanding of logistics and supply chain concepts
- No prior experience with AI, programming, or data science is required—this course uses natural language prompting
- Access to a computer with internet connectivity for interacting with GenAI tools like ChatGPT, Claude, or similar
Description
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.
Who this course is for:
- Supply Chain and Logistics Professionals looking to automate routine tasks, generate reports, and improve operational efficiency using GenAI
- Procurement Officers and Sourcing Managers interested in vendor analysis, supplier scoring, and strategic sourcing powered by AI
- Warehouse and Inventory Managers aiming to optimize layout, plan replenishments, and respond to stock-out scenarios with GenAI tools
- Transportation Planners and Fleet Coordinators seeking AI-driven support in routing, fuel efficiency, and multi-modal logistics planning
- SCM Analysts and Consultants who want to build dashboards, forecasting models, and workflow automation using prompt-driven AI
- Operations and Compliance Managers responsible for generating ESG reports, sustainability narratives, or trade compliance documents
- ERP and TMS Users (SAP, Oracle, Manhattan, NetSuite, etc.) who want to integrate conversational AI capabilities into their daily tools
- Digital Transformation Leaders and AI Implementation Strategists focused on intelligent automation within supply chain networks
- No-code Developers and Low-code Solution Designers looking to embed GenAI functionality into SCM apps
- Students and Learners in logistics, operations, or supply chain courses who want to future-proof their careers with GenAI skills