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Sourcora: The buying job nobody wants to do

  • Python
  • LLM extraction
  • PostgreSQL
Illustration of Sourcora: supplier quotes arriving as documents are extracted into one comparison table, with the best-value row highlighted.

The problem

A factory needs 400 units of a part. Someone emails eight suppliers, chases them for three days, then copies the replies into a spreadsheet, each in a different format with different terms and units. That is a full day of skilled time for one purchase, every week.

What we built

An agent that sends the RFQ to the supplier list, reads the replies in whatever format they arrive, extracts price, quantity, lead time and terms, converts them to a common basis and puts them in one comparison table. It follows up with suppliers who haven't replied and flags anything uncertain for a person to review.

How it was built

Sourcora is built in Python, using language-model extraction with a confidence threshold, PostgreSQL and email integration.

Why it matters

This is what a useful AI agent looks like: one specific, time-consuming task handled end to end, with a person checking the parts that matter.

More of our work

See all our work →

Not sure yet what you need?

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