AI in Supply Chain for Executives
Your Competitors Are Building AI-Driven Supply Chains. Here's How to Stay Ahead.
A 2-day executive program that gives you the strategy, frameworks and confidence to lead AI adoption across your supply chain — without writing a single line of code.
Live Virtual Program | May 1–2 | 2026 | $1,799 | Certificate of Completion
What You Will Gain
This is not a lecture series. It is a working session designed to send you back to your organization with practical tools, clear priorities and a strategy you can act on immediately.
A Strategic AI Roadmap
Walk away with a clear framework for where AI fits in your supply chain — and where it does not. You will map AI opportunities to your organization's specific maturity level, so you invest in the right capabilities at the right time.
Data-Driven Decision Frameworks
Learn to evaluate AI investments using real benchmarks from Gartner, McKinsey and Deloitte. Stop relying on vendor promises. Start making decisions grounded in data your board will trust.
A Risk and Governance Playbook
Build guardrails for responsible AI adoption before you deploy, not after. Cover data quality standards, ethical considerations and compliance requirements that protect your organization and your reputation.
Real-World Case Studies
Analyze what worked — and what did not — at companies like Maersk, Siemens, Amazon and Dell. Go beyond the headlines to understand the strategic decisions, tradeoffs and implementation lessons behind each success story.
Team Alignment Tools
Get practical frameworks for aligning your leadership team, IT, procurement and operations around shared AI priorities. Misalignment is the number one reason AI initiatives stall; you will leave with tools to prevent it.
Competitive Benchmarking
See how your AI readiness compares to industry peers using our AI Readiness Scorecard. Identify your strengths, close your gaps and build a case for investment that resonates with your executive team.
Guest Lectures from Industry Leaders
Hear directly from practitioners who are deploying AI in supply chains today. Guest speakers from leading organizations will share firsthand insights, lessons learned and practical advice you will not find in any textbook.
Two Days That Change How You Think About AI in Supply Chain
This program is structured around two intensive days, each building on the last. Day 1 gives you the landscape and diagnostic tools. Day 2 gives you the strategy and implementation plan. You leave with both clarity and a concrete path forward.
Day 1: Understanding the AI Landscape
Module 1: The State of AI in Supply Chain
Ground your understanding in current reality, not hype. Review the latest data from Gartner, McKinsey and Deloitte on where AI is delivering results in supply chain — and where it is falling short. Understand adoption rates, investment trends and the maturity gap across industries.
Module 2: From Buzzword to Business Case
Cut through the noise. Get clear, jargon-free definitions of AI, generative AI, digital twins, and IoT — and understand exactly how each technology applies to demand forecasting, risk mitigation, inventory management and logistics. You will learn to distinguish between genuine opportunities and vendor-driven hype.
Module 3: Case Study Workshop
Analyze real-world deployments at leading companies including Maersk, Siemens, Amazon, and Dell. Examine what worked, what failed and why. Identify the strategic decisions — not just the technology choices — that separated successful implementations from expensive experiments.
Module 4: Assessing Your Organization's AI Readiness
Use our proprietary AI Readiness Scorecard to evaluate your organization's current position across five dimensions: data quality, infrastructure, talent, governance and strategic alignment. Leave this module knowing exactly where you stand and where to focus first.
Day 2: Building Your AI Strategy
Module 5: Data Foundations — What You Need Before AI Can Work
AI is only as good as the data behind it. Learn how to assess your organization's
data readiness, identify critical gaps, and build a practical data governance framework
that supports AI adoption without requiring a multi-year data transformation project.
Center for Supply Chain Excellence | Chaifetz School of Business | Saint Louis University
Module 6: Governance, Ethics & Risk Management
Build a governance framework that addresses the real risks: data privacy, algorithmic bias, regulatory compliance and workforce impact. You will develop policies that protect your organization while enabling innovation — not blocking it.
Module 7: Building Your AI Roadmap — Prioritization Framework
Not every AI opportunity is worth pursuing. Use a structured prioritization matrix to rank potential use cases by business impact, feasibility and organizational readiness. Build a phased roadmap that sequences investments for maximum return and minimum disruption.
Module 8: Action Planning — Your 90-Day Implementation Blueprint
Leave with a concrete 90-day plan tailored to your organization. Define your first three AI initiatives, assign ownership, set milestones and identify the resources you need. This is not a theoretical exercise — you will build a plan your leadership team can review the following week.
Built for the Leaders Making AI Decisions
This program is designed for senior professionals who are responsible for supply chain strategy, operations, and technology decisions. If AI is on your agenda — or should be — this course was built for you.
VP / SVP of Supply Chain & Operations
You own the strategy. This course gives you the frameworks to evaluate AI investments, set priorities and align your organization around a clear implementation path.
Chief Supply Chain Officer / COO
You need to make the business case for AI at the board level. This program gives you the data, benchmarks, and strategic rationale to lead that conversation with confidence.
Director of Procurement, Logistics, or Planning
You manage the functions AI will transform first. Learn how to identify high-impact AI applications within your domain and build a pilot strategy that delivers measurable results.
Supply Chain Transformation Leader
You are leading change in an environment of uncertainty. This course gives you a proven framework for sequencing AI initiatives, managing stakeholder expectations and demonstrating value early.
VP of Manufacturing or Operations
AI is already changing your production floor — from predictive maintenance to digital twins. Understand the strategic implications and learn to integrate AI into your operations roadmap.
Business Leaders Building an AI Business Case
Whether you are in finance, strategy or technology, if you need to evaluate or sponsor an AI initiative in supply chain, this course gives you the language, frameworks and data to do it right.
This Course Is Not For:
- Data scientists or machine learning engineers looking for technical training
- Software developers seeking coding or programming instruction
- Entry-level analysts without strategic decision-making responsibilities
Course Date and Times
Friday and Saturday, May 1–2, 2026
8 a.m. – 5 p.m. Central Time
100% Live Virtual — All sessions recorded for on-demand access
Small cohort limited to 30 participants
Evening networking reception on Day 1
Early Bird Offer — Register by April 16
- 10% off for individuals
- 15% off for groups of 3–4 from the same company
- 20% off for groups of 5+ from the same company
Use code AISCE_EarlyBird at checkout to apply your individual discount.
For group discount codes or questions, email cscms@slu.edu