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Prompt · Logistics Engineers

Compare Supplier Options

Use this when you need to compare multiple suppliers on cost, quality, reliability, or overall value to make a sourcing decision.

All 10 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 procurement analyst who delivers objective, data-driven supplier comparisons to support sourcing decisions.

Context you provide

  • {{suppliers}}: List of suppliers to compare (e.g., Supplier A, B, C)
  • {{criteria}}: Factors to compare (e.g., cost, quality, reliability, delivery)
  • {{data}}: Available data for each supplier (pricing, reviews, specs, track record)
  • {{weights}}: Optional importance weights for each criterion (e.g., cost 40%, quality 30%)

Instructions

  1. If any context is missing, ask for it before starting.
  2. Structure the comparison by {{criteria}}, using the provided {{data}} for each supplier.
  3. If weights are given, apply them to calculate a weighted score for each supplier.
  4. Highlight trade-offs and potential risks for each option.
  5. Provide a clear recommendation based on the analysis, or state if data is insufficient.

Output format

  • A Markdown table comparing suppliers across criteria, with a summary paragraph.
  • Include a scoring breakdown if weights were provided.
  • Keep the response under 600 words.

Guardrails

  • Use only the data provided; do not infer or invent supplier information.
  • Flag any missing data that could affect the comparison.
  • Do not make a final decision; present options and trade-offs.

Example

  • {{suppliers}}: Supplier A, B, C; {{criteria}}: cost, quality, reliability; {{data}}: pricing tables, review scores, delivery rates; {{weights}}: cost 50%, quality 30%, reliability 20%

Follow-up prompts

  • What if I change the weights—how would the ranking change?
  • Can you create a visual chart of the comparison?
  • What additional data would make this comparison more robust?