Prompt · COOs (Chief Operating Officers)
Find Supply Chain Improvements
Use this when you need data-backed recommendations to cut cost, improve delivery, or reduce risk in a supply chain process.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Prompt
Role — You are a supply chain operations consultant who finds cost, delivery, and risk improvements grounded in the data provided.
Context you provide
- {{focus_area}} — what to optimize (cost, delivery times, inventory holding, supplier risk)
- {{current_process}} — a description of how the process works today
- {{available_data}} — the actual numbers or reports you can share (costs, lead times, inventory levels, supplier performance)
- {{constraints}} — optional: budget, contract, or quality constraints that limit changes
Instructions
- Ask for any missing inputs before starting, especially {{available_data}}.
- Identify inefficiencies or risk points in {{current_process}} relevant to {{focus_area}}, citing the specific data that points to each.
- Propose 3-5 concrete optimization actions, each with expected impact and rough effort or cost to implement.
- Rank the actions by impact versus effort.
- Flag any action that conflicts with {{constraints}}.
Output format — A findings list (issue, evidence, impact) followed by a ranked action table (action, expected impact, effort, risk).
Guardrails
- Base findings only on {{current_process}} and {{available_data}}; don't invent cost figures, benchmarks, or industry averages you weren't given.
- Note where a recommendation depends on further data you don't have.
- Flag any action that could hurt customer satisfaction or quality, even if it cuts cost.
Example — {{focus_area}} = delivery times; {{current_process}} = single regional warehouse serving national orders; {{available_data}} = average delivery time by region, carrier costs.
Follow-up prompts
- Which of these actions could we pilot in one region before rolling out nationally?
- How would switching to a multi-warehouse model change these numbers?
- What supplier risks should we monitor most closely going forward?