Workshop contents
Workshop
Welcome to AI for Supply Chain
Turning AI concepts into operational decisions.
AI is easy to access. Applying it effectively across real business operations is much harder.
This workshop explores how AI moves from individual productivity to enterprise application, grounded in business context, connected data, operational risk and governed decision-making.
Across four sessions, participants will use a shared supply chain dataset to explore different AI capabilities and business problems. Each session presents its own perspective and may use a different story or exercise.
Together, the sessions create one practical learning journey:
Understand how AI works. Connect it to enterprise data. Evaluate operational risk. Apply it to a real business decision.
What You Will Learn
By the end of the workshop, participants will understand:
- How AI moves from answering prompts to helping with real work.
- Why enterprise AI requires trusted business data and context.
- How AI can help organizations identify and evaluate risk in daily operations.
- How operations, finance, logistics and other teams can use AI to make one shared supply chain decision.
- What is required to move from an AI experiment toward practical company-wide use.
Workshop Learning Journey
What does AI need before it can support a real business decision?
Session 2 Connecting AI to Enterprise Data Turning Business Data Into Usable ContextHow does operational data become usable context for AI?
Session 3 Understanding Operational Risk From Business Event to Operational ConsequenceIf something changes or goes wrong, what could happen across the business?
Session 4 Making an Integrated Supply Chain Decision One Exception. One Company Decision.What should the company do, who must act and what evidence supports the decision?
What You Leave With
Participants leave with a practical way to judge where AI can help, where human decision-making is still required, and what controls must be in place before AI is used in real operations.
Business context →Enterprise data →Risk evaluation →Approved decision →Coordinated action
The workshop is designed to build practical understanding. It does not require participants to adopt a specific technology or commit to a commercial engagement.
Dataset: DataCo Smart Supply Chain (Constante, Silva, Pereira; Mendeley Data, CC BY 4.0). Participant materials are sanitized.
The Sustainity Workshop Environment is a controlled simulation. It is not a production trial and does not execute actions in external systems.
Key Pain Points from Our Pre-Workshop Survey
Results from our pre-workshop poll highlighted several core friction points across our shared supply chain workflows: