Why AI changes the approach
Linear supply chains (buy → use → dispose) are wasteful and carbon-intensive. AI helps you redesign your supply chain for circular economy principles: reuse, recycling, waste reduction.
Step-by-step
- 1
Map your supply chain: What materials come in? Where do they go after use? What's wasted?
- 2
Ask AI: "Where's the waste in our supply chain? What could we reuse, recycle, or redesign?"
- 3
Identify opportunities: Could you use recycled materials? Design products for disassembly? Create a take-back program?
- 4
Calculate impact: How much carbon would we save? What's the cost?
- 5
Pilot one initiative, measure results, scale
Ready-to-use prompts
Adapt to your actual files and context before using.
Our product uses [materials]. After customers use it, most ends up in landfill. What circular economy options exist? Could we redesign for disassembly? Create a take-back program? Use recycled inputs instead?
I'm uploading our supply chain mapping. Show me: Where's the biggest waste? What materials could be recycled or reused? What's the carbon impact of switching?
Output template
Circular opportunities identified, pilots launched, waste/emissions reduction achieved
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.