How to Use AI to Compare Supplier Quotes

Supplier quotes rarely arrive in the same format. One supplier includes delivery in the total. Another puts it in a footnote. A third quotes a different quantity or leaves out a required component. Moving those numbers into a spreadsheet is straightforward; noticing that they describe different offers takes more attention.

AI can help prepare the comparison by extracting the quoted information, linking it to its source and highlighting gaps. A person still decides whether the offers are comparable and which supplier to use.

Here is a worked example using fictional quotes to show how that workflow could operate.

Start with a comparison you can define

Choose one recurring purchase category and list the fields that determine the decision. For a simple equipment purchase, that might include the item specification, quantity, unit price, shipping, tax treatment, delivery estimate, warranty and quote expiry.

Give each field a clear meaning. “Delivery” might mean a shipping charge, a delivery date or both. Store those as separate fields. A blank shipping charge should mean “not stated,” not automatically “free.”

Keep the original document attached to its extracted record. The comparison is only useful while the reviewer can check where a value came from.

Extract the offer before judging it

For each quote, ask the system to return the same set of fields. Include the original wording for anything that needs interpretation, such as delivery conditions or product substitutions.

A useful record contains:

• The extracted value and its unit or currency.
• The source document and page or section.
• Whether the field is stated, missing or ambiguous.
• A short note explaining any proposed normalization.

The AI’s first job is to organize the source material. It should not fill gaps with plausible values or choose a winner before the comparison is complete.

For scanned PDFs, document extraction may also require optical character recognition. Tools such as Microsoft Document Intelligence demonstrate how document fields can be extracted into structured records. A quote workflow still needs a schema and evaluation suited to quotes; an invoice model should not be assumed to cover every supplier document.

Compare the full quoted cost

Consider these fictional inputs for ten units of the same requested item:

Quote A: 10 units at $48 each. Shipping: $120. Estimated dispatch: two business days. Tax not stated.

Quote B: 10 units at $51 each. Shipping included. Estimated dispatch: seven business days. Tax not stated.

The unit-price comparison favors A. The quoted cost before tax favors B.

The useful output is a decision brief: B has the lower quoted cost before tax; A has the earlier stated dispatch. Tax, matching specifications, availability and any additional conditions still need confirmation.

Calculate totals with ordinary spreadsheet formulas or application code using the reviewed inputs. Use AI to interpret and organize the documents, then use deterministic calculations for the arithmetic. That makes the numbers easier to reproduce and check.

Turn missing information into specific questions

A comparison should make incomplete offers easier to resolve. Instead of a vague warning, show the exact question that prevents a decision:

• Is this price for the requested item specification and quantity?
• Is freight included to the required destination?
• Does the quoted dispatch estimate exclude transit time?
• Are taxes or additional fees excluded?
• Is a substituted product being offered?
• When does the quote expire?

Draft those questions for review. Keep the buyer responsible for approving messages to suppliers and for accepting any commercial terms.

A short explanation beside a source excerpt is more useful than an unsupported confidence percentage. Microsoft’s guidance on grounding and human review describes using source references and extraction signals to support review. Those signals help direct attention; they do not replace checking the fields that drive the purchase.

Build a workflow with a clear stopping point

A bounded workflow can follow six steps:

1. Receive the quote in an approved inbox or document folder.
2. Extract its fields into a common record.
3. Flag missing information and differences in specifications.
4. Recalculate comparable totals using reviewed values.
5. Prepare a side-by-side brief with source references.
6. Send the brief to the buyer for a decision.

The system stops at the review-ready brief. Purchasing, payment, contract acceptance and changes to supplier banking information remain separate actions with their own authorization.

This is usually a good candidate for a defined workflow: the trigger, required fields, checks and destination are known. If you are deciding how much autonomy to introduce, use the agent-versus-workflow guide.

Test the difficult quotes

Start the evaluation with examples that expose weaknesses: a scanned page, a missing shipping charge, a revised quote, mixed currencies, a quantity change, an expired offer and a similar product with a different specification.

Compare the extraction with a manually checked reference. Record errors by field, especially quantities, currencies, charges and product identifiers. A document that is mostly correct can still produce a bad comparison if one decisive field is wrong.

Measure the complete process, including the time spent checking the brief, correcting errors and following up on missing information. Track how often the workflow asks for clarification and whether reviewers can trace every decisive value to the document.

Expand the scope when those checks show the workflow is useful. The fictional numbers above illustrate the comparison method; they are not a claim about savings achieved by a customer.

Decide whether it is worth building

If quote comparisons are rare or specifications change completely each time, a well-designed spreadsheet may be enough. A workflow becomes more attractive when the same purchasing decision recurs, documents vary in predictable ways and someone owns the review process.

The best first version produces a clear, checkable brief for one purchase category. It earns a broader role by handling the exceptions well.

Use the first-project scorecard to assess that fit, and the automation cost guide to account for document processing, integrations, human review and maintenance.