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YES

As of 13 August 2026, AI can create a supplier comparison table.

This still needs a person who signs their name to it.

Can you do it?

5 minutesto a draft.

30 minutesto something you’d act on.

Cost, all in£0

Skill neededchat-fluent

Who has to check ita colleague

What the alternative costsThe alternative is manual entry and checking by a colleague, with no price stated here.

If this goes wrong: you compare unlike offers, miss a delivery or contract condition, and recommend a supplier on figures that do not support the decision.

What to actually do

  1. Hand it to a person

    The route this page recommends

    A person who owns the outcome does this end to end, worth it when the failure is dear.

  2. Use a tool built for this

    Second choice
  3. Do it yourself

    The distant third

    A chat interface, chat-fluent skill, and roughly 30 minutes until you can act on the result.

    How to actually do it

    1. Open a blank spreadsheet and create a folder containing every supplier quote, price list, specification, email and attachment for this purchase.
    2. Write down the required specification, quantity, delivery deadline, acceptable alternatives and any criteria such as warranty, payment terms or compliance evidence.
    3. Paste or upload the supplier material and the criteria into a chatbot using the supplied prompt, keeping each document name visible so sources can be traced.
    4. Copy the resulting table into the spreadsheet and keep the source-reference column beside each supplier figure.
    5. Compare every price, VAT treatment, delivery charge, quantity, lead time and contract condition in the table against the original quote or email, correcting transcription errors and replacing unsupported entries with "Not stated".
    6. Send the listed clarification questions to suppliers and add their written replies to the spreadsheet before comparing totals or ranking offers.
    7. Ask a colleague to check the completed table and the source documents, then record the agreed comparison and decision separately from the AI-generated draft.

    Prompt

    Create a supplier comparison table from the supplier information below. Use only facts stated in the supplied documents or text. Do not invent, infer or fill gaps. If suppliers use different units, quantities, VAT treatment, delivery terms or assumptions, show the original wording and add a clearly labelled normalised comparison only when the calculation is unambiguous. Mark missing information as "Not stated" and conflicting information as "Conflict".
    
    Compare these fields where available: supplier name, product or service description, specification, quantity or unit, quoted price, VAT treatment, delivery charge, total quoted cost, currency, lead time, delivery date, quote expiry, minimum order, payment terms, warranty, returns, contract term, insurance or compliance information, and source reference.
    
    Return:
    1. A clear table suitable for pasting into a spreadsheet.
    2. A separate list of missing, conflicting or non-comparable information.
    3. A short list of questions to send to suppliers to make the comparison fair.
    4. A concise comparison of strengths and risks for each supplier, without choosing a supplier unless I explicitly ask you to.
    
    For every row, include the document name, page, email date or other source reference available in the supplied material. Keep supplier claims separate from your own calculations. Flag any calculation that I must verify before using the table for a purchase decision.
    
    My purchasing criteria are:
    [PASTE THE CRITERIA, REQUIRED SPECIFICATION, QUANTITY, DELIVERY REQUIREMENT AND ANY WEIGHTINGS]
    
    Supplier information:
    [PASTE OR UPLOAD THE QUOTES, PRICE LISTS, SPECIFICATIONS AND SUPPLIER EMAILS]

    Open it prefilled in ChatGPT or Claude, or copy it into Gemini, which takes no prefill link.

What it gets wrong

  • AI cannot decide whether two technically different products meet your actual operational requirement.
  • AI cannot reliably detect a commercial condition that a supplier has omitted, buried elsewhere or described ambiguously.
  • AI can make unlike prices look comparable when VAT, delivery, quantities or payment terms differ.
  • AI cannot take responsibility for the purchase decision, supplier risk or the consequences of selecting the wrong offer.

Even on a YES, the friction has a name: judgement under ambiguity, verification cost and stakes of error.

How we scored this

Five axes, each scored nought to two by hand: ten means AI carries the task cleanly, and the thresholds that turn a total into YES, PARTLY or NO are published in the methodology. Each axis name links to its definition.

AxisScore (0–2)
Output2
Inputs2
Verification1
Liability1
Effort delta2
Total8 / 10

FAQ

Can ChatGPT make a supplier comparison table?
Yes. Give it the supplier quotes, specifications and your comparison criteria, and it can extract the details into a table with missing information and source references. Check every figure and commercial condition against the original documents before using it.
Can AI compare supplier quotes in Excel?
Yes, it can prepare a table that you paste into Excel and can help identify differences in prices, quantities, delivery and terms. You still need to confirm that the offers are genuinely comparable and that the calculations use the right VAT and delivery assumptions.
Is it safe to use AI for procurement?
It is suitable for preparing and organising a comparison, not for making an unchecked purchasing decision. The buyer remains responsible for errors, missed contract terms and supplier selection, so a colleague should check the table against the source documents.
What information do I need for a supplier comparison?
Gather the required specification and quantity, each supplier's price and VAT treatment, delivery charges, lead time, warranty, payment terms, quote expiry and any minimum order or compliance conditions. Include the original quotes, emails and source references so missing or conflicting details can be followed up.

Nearby answers

Assessed by gpt-5.6-luna (gpt-5.6-luna) on 2026-08-13, second-checked by an independent model. Wrong somewhere? Email [email protected] and it gets re-checked.

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