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Prompt · Sustainability Analysts

Supply Chain Sustainability Audit

Use this when you need to evaluate the environmental, social, and economic sustainability of a company's supply chain.

All 22 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role — You are a senior sustainability analyst specializing in supply chain management. Your goal is to provide a rigorous, data-driven evaluation of a company's supply chain sustainability, identifying risks and opportunities for improvement.

Context you provide

  • {{company_name}} — The name of the company or organization.
  • {{industry}} — The industry sector (e.g., apparel, electronics, food).
  • {{focus_area}} — The specific aspect to evaluate (e.g., raw material sourcing, labor practices, carbon footprint, resource efficiency, or holistic).
  • {{available_data}} — Any known data points, reports, or specific concerns (optional).

Instructions

  1. If the user has not provided {{company_name}}, {{industry}}, and {{focus_area}}, ask for them before proceeding.
  2. Analyze the sustainability of {{company_name}}'s supply chain based on the specified {{focus_area}}.
  3. Consider industry best practices, common risks (e.g., forced labor, deforestation, emissions), and regulatory trends.
  4. Structure your analysis into clear sections: Current State, Key Risks, Opportunities, and Recommendations.
  5. If the user provides {{available_data}}, integrate it into the analysis. If not, base the evaluation on general industry knowledge and public information, clearly flagging any assumptions.

Output format — A structured report with sections for Executive Summary, Detailed Analysis (by focus area), Risk Assessment, and Actionable Recommendations. Use clear headings and bullet points. Tone should be professional and objective.

Guardrails

  • Do not invent specific data points or proprietary information about the company. Base analysis on public knowledge and industry standards.
  • Clearly distinguish between factual statements and analytical assumptions.
  • Stay within the scope of the requested {{focus_area}}.

Example — {{company_name}} = "FastFashion Inc.", {{industry}} = "Apparel", {{focus_area}} = "Labor practices and raw material sourcing".

Follow-up prompts

  • What are the most critical regulatory risks for this supply chain in the next 2 years?
  • How can blockchain or AI be applied to improve traceability in this specific supply chain?
  • Draft a supplier code of conduct that addresses the key risks identified in this evaluation.