Why AI changes the approach
Your supplier engagement efforts build valuable assets: vetted low-carbon suppliers, supplier networks, carbon reduction expertise. AI helps you commercialize this or build new revenue streams.
Step-by-step
- 1
Ask AI: What have we built that others would pay for? (supplier network, vetting process, carbon reduction expertise)
- 2
Identify customers: Who else needs low-carbon suppliers? (competitors, downstream customers, other industries)
- 3
Design offerings: Could you become a platform connecting buyers with vetted low-carbon suppliers? Offer supplier development services?
- 4
Model financials: What could you charge? How many customers? What's the ROI?
- 5
Build business case for leadership
Ready-to-use prompts
Adapt to your actual files and context before using.
We've built a network of 100 vetted low-carbon suppliers. Could we commercialize this? Who would pay for access? What would they pay?
We've developed a supplier carbon reduction program. Could we offer this as a service to other companies in our industry? What would that look like?
Output template
Commercial opportunities identified, market validated, business case developed
Related scenarios
Supply Chain Management: Data Analysis
Your supply chain is likely your biggest emissions source.
Supply ChainSupply Chain Management: Automation
Managing supplier data and engagement manually is slow and inconsistent.
Supply ChainSupply Chain Management: Stakeholder Engagement
Suppliers won't change unless they understand why and see value.
Need this embedded in your team?
I run hands-on workshops that turn these scenarios into your team's default way of working.