CLS
Business Management

AI+ Supply Chain Practitioner

AI+ Supply Chain Practitioner course covers Lead AI Supply Efficiency: Prepares learners to lead in AI-led supply chain efficiency

Total Duration
8 Hours
Level
Beginner
Category
Business Management
Partner
AI CERTs
About this course

About this course

In AI+ Supply Chain Practitioner you will learn logistics, procurement, inventory, forecasting, warehousing, and business professionals the necessary skills to implement Artificial Intelligence in these areas of work.

Through projects, case studies and practical learners explore how AI can improve demand forecasting, optimize inventory and logistics, reduce costs, strengthen resilience, and support smarter supply chain decisions.

Target Audience

Professionals working in supply chain who would like to integrate AI techniques into their forecasting and optimization efforts.
Logistics Managers who would like to make use of AI in their route planning and warehouse management.
Procurement Experts who would like to utilize AI in supplier selection and inventory replenishment.

Prerequisites

Foundational knowledge of supply chain, including core logistics and operations.
Introductory awareness of Artificial Intelligence concepts.

Course Outline

  • SCOR Model and Core Processes (Plan, Source, Make, Deliver, Return, Enable)
  • Key Functions: Procurement, Inventory Management, Logistics, Warehousing, Demand Forecasting, Risk, and Resilience
  • Global Challenges: Volatility, Sustainability, Nearshoring, and ESG
  • KPIs and Performance Measurement
  • Activity: Analyze and Map a Real-World Supply Chain
  • AI/ML Fundamentals – Supervised & Unsupervised Learning, Predictive & Prescriptive Analytics, Optimization, Reinforcement Learning
  • Key Techniques – Neural Networks, Computer Vision, NLP, Digital Twins, Edge AI
  • AI Tools for SCM
  • Data Foundations – IoT, Real-Time Data Pipelines, Data Quality & Governance
  • LLM/GenAI Fundamentals and Enterprise Integration
  • Use Cases – Demand Planning Assistance, Contract Analysis, Supplier Communication, Scenario Simulation, Report Generation, Synthetic Data
  • Chat-Based Copilots for Planners and Knowledge Management
  • Limitations and Best Practices (Hallucinations, Grounding, Integration)
  • Tools – Enterprise GPT-like Models, Lang Chain/ Llama Index, Amazon Business Assistant, Custom GenAI Workflows
  • Bias in Forecasting/Procurement, Transparency, and Explain ability
  • Privacy, Security, Regulatory Compliance
  • Job Displacement, Upskilling, and Human-AI Collaboration
  • Sustainability & ESG – AI for Ethical Sourcing and Carbon Tracking
  • Governance Frameworks and Risk Management
  • Digitization – ERP + SCM Platforms, Cloud Integration, Blockchain for Traceability, APIs
  • Orchestration – Control Towers, Real-Time Visibility, Data Pipelines, Digital Twins
  • Intelligent & Smart SCM – Predictive/Prescriptive Analytics, Autonomous Exception Management, Robotics + Computer Vision, Edge AI
  • Human + AI Collaboration Models
  • Applications Across Industries
  • Real-World ROI – Efficiency Gains, Cost Reduction, and Resilience Improvements
  • Implementation Best Practices
  • Case Studies from Blue Yonder, Kinaxis, Oracle, and Others
  • Logistics Policies, Trade Regulations, Tariffs, and Geopolitical Risks
  • Strategic Network Design: Optimization, Resilience, Nearshoring, and Friend shoring
  • Sustainable SCM: Circular Economy, Green Logistics, and AI-Driven ESG Reporting
  • Organizational Transformation and Leadership in AI-Enabled Supply Chains
  • Case Studies
  • Agentic AI Concepts: Autonomous Goal-Oriented Agents, Multi-Agent Systems, and Reasoning-Action Loops
  • Applications: Autonomous Replenishment, Risk Mitigation, Supplier Onboarding, Dynamic Rerouting, and End-to-End Orchestration
  • Tools & Platforms: Kinaxis Maestro Agents, Oracle AI Agents, Blue Yonder Cognitive Agents, Custom Builds, and Automation Anywhere
  • Architectures, Guardrails, and Human Oversight
  • Future Outlook for 2026+: From Copilots to Semi-Autonomous Operations
  • Capstone Project: Design and Prototype a Multi-Agent Workflow for a Supply Chain
Learning outcomes

What you'll learn

Describe fundamental supply chain processes and find opportune and reporting.
Evaluating the digitization of supply chains and smart systems based on artificial intelligence.
Formulating a strategy for constructing supply chains that are resilient and technology enabled.
Evaluating the uses of AI in practical supply chain management and how they create efficiencies and cost savings

Skills you'll learn

8 skills
AI in Supply Chain
Logistics Optimization
Procurement Analytics
Supply Chain Resilience
Responsible AI
Inventory Optimization
Supply Chain Digitization
AI Strategy

Certificate

  • Attendance Certificate from CLS Learning Solutions


AI+ Supply Chain Practitioner

Potential Career Paths

Supply Chain Specialist
AI Supply Chain Strategist
Procurement Specialist