Supplier quote comparison

Added 2026-10-12

Role

buyer / purchasing manager

The problem

quotes come in as PDFs, spreadsheets and emails in different formats.

Step by step

Collect the inputs behind the problem: quotes come in as PDFs, spreadsheets and emails in different formats.
An LLM pulls out the line items and normalizes them into one comparison
Rules score price, delivery, quality and terms;
The buyer approves.
Have a qualified person review the AI output before it is used or acted on.

Tools

Not named in source; see linked sources

Result

replaces manual busywork, and the buyer keeps the decision (no figure given).

As reported by the source; most figures are vendor or self-reported and not independently verified.

Try it yourself

You are a purchasing analyst. Below are [number] supplier quotes for [part or service, e.g. 500 machined brackets] in different formats. Extract every line item into one comparison table with columns: supplier, part number, quantity, unit price, currency, tooling/setup, freight terms (Incoterm), lead time, payment terms, validity date. Normalize to [currency] and [unit of measure], estimate landed cost using [freight and duty assumptions], then score each supplier on price, delivery, quality history [paste ratings] and terms using weights [e.g. 40/30/20/10]. Flag missing items, exclusions and unusual terms. End with a recommendation and the 3 questions I should ask before awarding. Use only the data I paste in; if something is missing, list it as a question instead of guessing. Do not send, order, post or change anything in any system: produce drafts for my review and approval.

Quotes:
[paste quotes]

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Sources

https://technostacks.com/our-work/ai-powered-procurement-automation-manufacturing/