AI+ Supply Chain Practitioner™

$195.00
Formerly known as AI+ Supply Chain™ Transforming Supply Chain Management
  • Comprehensive Learning: Covers logistics, operations, and supply chain digitization  
  • Advanced Supply Strategies: Develop innovative supply strategies and workflows
  • Sector-Specific Solutions: Tailored sessions for real-world, sector-specific challenges
  • Lead AI Supply Efficiency: Prepares learners to lead in AI-led supply chain efficiency
Learning Modules

Module 1: Fundamental Concepts of Supply Chain Management

  1. 1.1 SCOR Model and Core Processes (Plan, Source, Make, Deliver, Return, Enable)
  2. 1.2 Key Functions: Procurement, Inventory Management, Logistics, Warehousing, Demand Forecasting, Risk, and Resilience
  3. 1.3 Global Challenges: Volatility, Sustainability, Nearshoring, and ESG
  4. 1.4 KPIs and Performance Measurement
  5. 1.5 Activity: Analyze and Map a Real-World Supply Chain

Module 2: AI Concepts, Techniques, and Tools for SCM

  1. 2.1 AI/ML Fundamentals u2013 Supervised & Unsupervised Learning, Predictive & Prescriptive Analytics, Optimization, Reinforcement Learning
  2. 2.2 Key Techniques u2013 Neural Networks, Computer Vision, NLP, Digital Twins, Edge AI
  3. 2.3 AI Tools for SCM
  4. 2.4 Data Foundations u2013 IoT, Real-Time Data Pipelines, Data Quality & Governance

Module 3: LLM and Generative AI Applications in SCM

  1. 3.1 LLM/GenAI Fundamentals and Enterprise Integration
  2. 3.2 Use Cases u2013 Demand Planning Assistance, Contract Analysis, Supplier Communication, Scenario Simulation, Report Generation, Synthetic Data
  3. 3.3 Chat-Based Copilots for Planners and Knowledge Management
  4. 3.4 Limitations and Best Practices (Hallucinations, Grounding, Integration)
  5. 3.5 Tools u2013 Enterprise GPT-like Models,u00a0LangChain/LlamaIndex, Amazon Business Assistant, Custom GenAI Workflows

Module 4: Ethical Considerations and Responsible AI in SCM

  1. 4.1 Bias in Forecasting/Procurement, Transparency, and Explainability
  2. 4.2 Privacy, Security, Regulatory Compliance
  3. 4.3 Job Displacement, Upskilling, and Human-AI Collaboration
  4. 4.4 Sustainability & ESG u2013 AI for Ethical Sourcing and Carbon Tracking
  5. 4.5 Governance Frameworks and Risk Management

Module 5: Supply Chain Digitization, Orchestration, and Intelligent Systems

  1. 5.1 Digitization u2013 ERP + SCM Platforms, Cloud Integration, Blockchain for Traceability, APIs
  2. 5.2 Orchestration u2013 Control Towers, Real-Time Visibility, Data Pipelines, Digital Twins
  3. 5.3 Intelligent & Smart SCM u2013 Predictive/Prescriptive Analytics, Autonomous Exception Management, Robotics + Computer Vision, Edge AI
  4. 5.4 Human + AI Collaboration Models

Module 6: Industrial Applications, Case Studies, and Business Value

  1. 6.1 Applications Across Industries
  2. 6.2 Real-World ROI u2013 Efficiency Gains, Cost Reduction, and Resilience Improvements
  3. 6.3 Implementation Best Practices
  4. 6.4 Case Studies from Blue Yonder, Kinaxis, Oracle, and Others

Module 7: Strategic SCM, Logistics Policies, and Sustainability

  1. u00a07.1 Logistics Policies, Trade Regulations, Tariffs, and Geopolitical Risks
  2. 7.2 Strategic Network Design: Optimization, Resilience, Nearshoring, and Friendshoring
  3. 7.3 Sustainable SCM: Circular Economy, Green Logistics, and AI-Driven ESG Reporting
  4. 7.4 Organizational Transformation and Leadership in AI-Enabled Supply Chains
  5. 7.5u00a0Case Studies

Module 8: Agentic AI and the Future of Autonomous Supply Chains

  1. 8.1 Agentic AI Concepts: Autonomous Goal-Oriented Agents, Multi-Agent Systems, and Reasoning-Action Loops
  2. 8.2 Applications: Autonomous Replenishment, Risk Mitigation, Supplier Onboarding, Dynamic Rerouting, and End-to-End Orchestration
  3. 8.3 Tools & Platforms: Kinaxis Maestro Agents, Oracle AI Agents, Blue Yonder Cognitive Agents, Custom Builds, and Automation Anywhere
  4. 8.4 Architectures, Guardrails, and Human Oversight
  5. 8.5 Future Outlook for 2026+: From Copilots to Semi-Autonomous Operations
  6. 8.6 Capstone Project: Design and Prototype a Multi-Agent Workflow for a Supply Chain
  7. 8.7u00a0Case Studies

Optional Module: AI Agents in Supply Chain

  1. 1. What Are AI Agents
  2. 2. What Are AI Agents in Logistics and Supply Chain
  3. 3. Applications & Trends of AI Agents in Supply Chain
  4. 4. How Does an AI Agent Work
  5. 5. Core Characteristics of AI Agents
  6. 6. Key Advantages of AI Agents in Logistics and Supply Chain
  7. 7. Types of AI Agent
  8. 8. Case Studies
  9. 9. Hands on experiment
AI Enabled Coordinated Assurance Certification

Certificate Code:

AP-710

Duration:

  • Instructor-Led: 1 day (live or virtual)
  • u00a0Self-Paced: 8 hours of content

Prerequisites:

Foundational knowledge of supply chain, Prior experience with business management or technical tools, such as ERP systems or data analysis software, will be beneficial.

Why This Certification Matters

Leverage AI for Smarter Supply Chain Operations:

Learn how AI tools can optimize logistics, reduce costs, and improve supply chain efficiency from end to end.

Optimize Demand Forecasting with AI:

Use AI-driven analytics to predict demand, streamline inventory management, and reduce stockouts or overstocking.

Stay Ahead in AI-Powered Supply Chain:

As industries increasingly adopt AI, professionals with AI supply chain expertise are in high demand to drive innovation and efficiency.

Enhance Decision-Making with Predictive Analytics:

Master AI algorithms to analyze supply chain data and make informed, real-time decisions to improve overall operations.
Who Should Enroll

  • Supply Chain Professionals: Enhance your supply chain management skills by integrating AI tools for improved forecasting, inventory management, and process optimization.

  • Logistics & Operations Managers: Learn to leverage AI for optimizing logistics, route planning, and warehouse management to enhance operational efficiency and reduce costs.

  • Procurement Experts: Use AI to improve supplier selection, demand forecasting, and inventory replenishment, streamlining procurement processes.

  • Business Leaders: Drive innovation in your supply chain by adopting AI technologies to automate workflows, predict demand, and optimize end-to-end operations.

  • Students & New Graduates: Gain a competitive advantage in the supply chain field by mastering AI tools and techniques that are transforming global logistics and supply chain management.

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