AI for Supply Chain

Overview

AI for Supply Chain focuses on where AI creates value in supply chain operations and how to lead its adoption. You will work through a…

What you will learn

  • Map predictive, prescriptive, and generative AI to supply chain processes and prompt with KPIs and data (Module 1).
  • Explain ML forecasting and demand sensing and communicate forecast changes (Module 2).
  • Run inventory and supply scenarios and support S&OP decisions (Module 3).
  • Use AI for supplier research, contract and spend analysis, and risk mitigation communications (Module 4).

Prerequisites

  • Required: Supply chain or operations experience. Access to an AI assistant and a spreadsheet tool [confirm tier]. No coding required; Python basics are optional.
  • Helpful: Experience with any planning or ERP system. If you are new to AI assistants, start with Enterprise AI Literacy.

Curriculum

  1. Module 1: AI in the Supply Chain Landscape

    • Topics: Predictive, prescriptive, and generative AI; use cases by function; maturity and readiness; context with data and KPIs; scenario and risk prompts; verification.
    • Deliverable: Use case portfolio. Completion check: Module 1 assessment.

    Hands-on:

    • Practice: Use Case Portfolio. Prioritized portfolio for a sample supply chain.

  2. Module 2: Demand Forecasting and Sensing

    • Topics: ML forecasting basics; external signals; forecast accuracy; short-term signals; promotions and events; explaining forecast changes.
    • Deliverable: Forecast review. Completion check: Module 2 assessment.

    Hands-on:

    • Practice: Forecast Accuracy Review. Performance analysis with narrative explanations.

  3. Module 3: Inventory and Supply Planning

    • Topics: Safety stock and service levels; multi-echelon concepts; AI recommendations; constraint-based planning; scenario simulation; S&OP support.
    • Deliverable: Scenario analysis. Completion check: Module 3 assessment.

    Hands-on:

    • Practice: Inventory Scenario Analysis. Scenarios and S&OP recommendations.

  4. Module 4: Procurement and Supplier Management

    • Topics: Supplier research; contract and spend analysis; risk monitoring; communication drafting; performance reviews; negotiation preparation.
    • Deliverable: Risk brief. Completion check: Module 4 assessment.

    Hands-on:

    • Practice: Supplier Risk Brief. Portfolio risk analysis and mitigation communications.

  5. Module 5: Logistics, Transportation, and Warehousing

    • Topics: Route and load optimization concepts; carrier management; freight audit; slotting and labor planning; robotics and vision; exception handling.
    • Deliverable: Exception playbook. Completion check: Module 5 assessment.

    Hands-on:

    • Practice: Logistics Exception Playbook. AI-assisted resolution playbook.

  6. Module 6: Visibility, Control Towers, and Risk

    • Topics: Control tower concepts; event detection; digital twins; disruption monitoring; scenario planning; response orchestration.
    • Deliverable: Response plan. Completion check: Module 6 assessment.

    Hands-on:

    • Practice: Disruption Response. Simulated disruption with AI-generated scenarios.

  7. Module 7: AI in SCM Platforms

    • Topics: AI in SAP IBP, Oracle, and Blue Yonder; embedded assistants; integration with ERP; vendor assessment criteria; build vs buy; pilot design.
    • Deliverable: Evaluation report. Completion check: Module 7 assessment.

    Hands-on:

    • Practice: Platform Evaluation. Two platforms against business requirements.

  8. Module 8: Sustainability, Governance, and Transformation

    • Topics: Emissions tracking; regulatory reporting; ethical sourcing; data readiness; skills and operating model; measuring value.
    • Deliverable: Roadmap. Completion check: Module 8 assessment.
    • Capstone (independent work, [CAPSTONE_HOURS] hours): An AI transformation plan for one supply chain: prioritized use cases, forecast and inventory analysis, a supplier risk brief, a disruption response plan, platform evaluation, and a roadmap.

    Hands-on:

    • Practice: Supply Chain AI Roadmap. Twelve-month roadmap with governance and measures.

Course fee

$699 $399

What's included

  • Live cohort + recordings: Attend every session live and revisit the recordings for one year.
  • Real lab environment: Practise on a hands-on environment that mirrors real projects.
  • Live doubt-clearing support: Ask questions and get answers in real time during every session.
  • Assessments and lab activities: Apply what you learn through graded assessments and guided labs.
  • Learning assets: Keep the slides, notes, and reference material for good.
  • Role-readiness guidance: Mentor guidance to get you ready for the role you are targeting.
  • Verifiable certificate: Earn a shareable certificate on completing the hands-on capstone.
  • Global peer community: Learn with a global cohort and stay connected after the program.

In short

AI for Supply Chain is a 24-hour instructor-led course covering Module 1: AI in the Supply Chain Landscape, Module 2: Demand Forecasting and Sensing, Module 3: Inventory and Supply Planning. It includes guided practical labs.

Key facts

  • Course: AI for Supply Chain
  • Duration: 24 hours
  • Modules: 8
  • Format: instructor-led live training

Frequently asked questions

Is this a data science course?

No. You learn how AI forecasting and optimization work and how to use and evaluate them, but you do not build models. Python is optional.

Does it cover SAP IBP?

Module 7 demonstrates and evaluates AI in SAP IBP, Oracle, and Blue Yonder. Configuration is not taught.

How is this different from AI for Procurement?

AI for Procurement goes deep on spend, sourcing, contracts, and P2P. This course covers the full chain including planning, logistics, visibility, and resilience, with one procurement module.

Can I use my own supply chain data?

Labs use synthetic data. Use your own only within your organization's policy and never in a public AI tool without approval.

Does it cover sustainability?

Yes. Module 8 covers emissions tracking, regulatory reporting, and ethical sourcing with AI support.

Is this suitable for consultants?

Yes. The platform evaluation and roadmap modules are directly applicable to advisory work.

What do I keep?

A use case portfolio, forecast review, scenario analysis, risk brief, exception playbook, response plan, evaluation report, and roadmap.

Is a corporate version available?

Yes, with labs on your network and platforms.

Topics covered

AI for Supply Chain, Artificial intelligence, Corporate training