# Evaluate and rank supplier bids with MySQL and Groq LLM: n8n workflow

> Started by an event in a connected app, and works across Gmail, MySQL and Notion. It hands the judgement calls to Groq.

Source: https://millionrounds.com/workflow/evaluate-and-rank-supplier-bids-with-mysql-and-groq-llm (Millionrounds; every figure on the page links to its filing or article)

[Automation library](https://millionrounds.com/workflows) · [Data collection](https://millionrounds.com/workflows?category=Data+collection#library)

# Evaluate and rank supplier bids with MySQL and Groq LLM

Started by an event in a connected app, and works across Gmail, MySQL and Notion. It hands the judgement calls to Groq. 19 steps, 1 branch, 2 loops or waits: a working afternoon to understand properly.

Medium Calls a model: Groq

[Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fevaluate-and-rank-supplier-bids-with-mysql-and-groq-llm)

**19 steps** Medium: a working afternoon

**1** Branch: places the flow splits

**2** Loops or waits

**3** Services it connects to

## The flow

Starts it 1 Model 6 Logic 8 Service 4

The steps in the order they run, from what starts it.

- 1 **Start Workflow** Manual trigger *Starts it*
- 2 **Groq LLM (Auditor)** Lm Chat Groq *Model*
- 3 **Enforce Scoring Schema** Output Parser Structured *Model*
- 4 **Groq LLM (Summarizer)** Lm Chat Groq *Model*
- 5 **Enforce Report Schema** Output Parser Structured *Model*
- 6 **Fetch Live Exchange Rates** Http Request *Service*
- 7 **AI Proposal Auditor** Chain Llm *Model*
- 8 **Generate Executive Summary** Chain Llm *Model*
- 9 **Fetch Submitted Bids (MySQL)** My Sql *Service*
- 10 **Wait for Next Item** Wait *Logic*
- 11 **Format Final Output** Set *Logic*
- 12 **Normalize & Anonymize Data** Code *Logic*
- 13 **Loop Through Bids** Split In Batches *Logic*
- 14 **Convert Markdown to HTML** Markdown *Logic*
- 15 **Extract Evaluated Scores** Set *Logic*
- 16 **Send Email Report** Gmail *Service*
- 17 **Check Security Risk** If *Logic*
- 18 **Math & Ranking Engine** Code *Logic*
- 19 **Log Supplier to Notion** Notion *Service*

## How it's built

- **Starts on:** An event in a connected app
- **Steps:** 19, with 1 branch, 2 loops or waits
- **Size:** Medium: a working afternoon
- **Connects to:** Gmail, MySQL, Notion
- **Model:** Groq

## Questions

What does it need to run?

An n8n account, plus your own Gmail, MySQL and Notion accounts, and a key for Groq. You connect your own accounts after importing it; none are included.

What starts it?

It starts on an event in a connected app.

Does it use AI?

Yes. It calls Groq. Model calls are billed by the provider, not by n8n.

How long does it take to set up?

Plan an afternoon. 19 steps is enough that you should read each one before running it.

How do I import it?

Copy the workflow, open a new workflow in n8n and paste. The steps appear on the canvas, ready for your own accounts.

**Before you run it**

Nothing here has been tested by us. It is somebody's working automation, read and described from its own steps. Treat the connections it wants as a list of accounts it will touch, and read the 19 steps before you point it at anything that matters.

## Run it in n8n

- **Create your n8n account** Free to start. n8n is where the workflow runs. [Create an n8n account ↗](https://millionrounds.com/n8n)
- **Download the workflow** Free with a Millionrounds account. [Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fevaluate-and-rank-supplier-bids-with-mysql-and-groq-llm)
- **Paste it into n8n** Open a new workflow in n8n and paste. Then connect your own accounts.

Stored with the author's traces removed: canvas notes, instance identifiers, saved credential names and any live document they had left behind.

## Connects to

Each opens the other workflows that use it.

[Gmail](https://millionrounds.com/workflows?service=Gmail#library)[MySQL](https://millionrounds.com/workflows?service=MySQL#library)[Notion](https://millionrounds.com/workflows?service=Notion#library)

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Also data collection, with the same services where possible, closest in size first.

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