# Orchestrate multi-store order allocation with OpenAI: n8n workflow

> Started by another system calling it, and works across Postgres and Slack. It puts OpenAI behind a retrieval step, so answers are drawn from documents you...

Source: https://millionrounds.com/workflow/orchestrate-multi-store-order-allocation-with-openai (Millionrounds; every figure on the page links to its filing or article)

[Automation library](https://millionrounds.com/workflows) · [E-commerce](https://millionrounds.com/workflows?category=E-commerce#library)

# Orchestrate multi-store order allocation with OpenAI

Started by another system calling it, and works across Postgres and Slack. It puts OpenAI behind a retrieval step, so answers are drawn from documents you supply rather than from the model alone. 22 steps, 3 branches, 1 loop or waits: large, and worth reading before you trust it with anything live.

Large Calls a model: OpenAI Retrieval

[Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Forchestrate-multi-store-order-allocation-with-openai)

**22 steps** Large: read it before trusting it with anything live

**3** Branches: places the flow splits

**1** Loop or waits

**2** Services it connects to

## The flow

Starts it 1 Model 7 Logic 7 Service 7

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

- 1 **Webhook - New Order** Webhook *Starts it*
- 2 **Tool - Check Store Stock** Tool Http Request *Model*
- 3 **Tool - Reserve Stock** Tool Http Request *Model*
- 4 **Tool - Release Reservation** Tool Http Request *Model*
- 5 **Tool - Get Store Rate Limit Status** Tool Http Request *Model*
- 6 **OpenAI Chat Model** Lm Chat Open Ai *Model*
- 7 **Window Buffer Memory** Memory Buffer Window *Model*
- 8 **Set - Config** Set *Logic*
- 9 **AI Agent - Inventory Orchestrator** Agent *Model*
- 10 **Postgres - Check Idempotency** Postgres *Service*
- 11 **Set - Parse Agent Output** Set *Logic*
- 12 **IF - Already Processed** If *Logic*
- 13 **Postgres - Log Order Decision** Postgres *Service*
- 14 **Postgres - Log Reservations** Postgres *Service*
- 15 **NoOp - Duplicate Ignored** No Op *Logic*
- 16 **IF - Fully Fulfilled** If *Logic*
- 17 **HTTP - Confirm Order (auto)** Http Request *Service*
- 18 **Slack - Request Ops Review** Slack *Service*
- 19 **Wait - For Manual Resolution** Wait *Logic*
- 20 **IF - Ops Approved** If *Logic*
- 21 **HTTP - Confirm Order (delayed)** Http Request *Service*
- 22 **HTTP - Cancel Order** Http Request *Service*

## How it's built

- **Starts on:** Another system calling it
- **Steps:** 22, with 3 branches, 1 loop or waits
- **Size:** Large: read it before trusting it with anything live
- **Connects to:** Postgres, Slack
- **Model:** OpenAI
- **Retrieval:** Answers are drawn from documents you supply, not from the model alone

## Questions

What does it need to run?

An n8n account, plus your own Postgres and Slack accounts, and a key for OpenAI. You connect your own accounts after importing it; none are included.

What starts it?

It starts on another system calling it.

Does it use AI?

Yes. It calls OpenAI. Its answers draw on documents you give it, not on the model alone. Model calls are billed by the provider, not by n8n.

How long does it take to set up?

Take your time. At 22 steps it is large: read it before trusting it with anything live.

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 22 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%2Forchestrate-multi-store-order-allocation-with-openai)
- **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.

[Postgres](https://millionrounds.com/workflows?service=Postgres#library)[Slack](https://millionrounds.com/workflows?service=Slack#library)

## Workflows like it

Also e-commerce, with the same services where possible, closest in size first.

- [**AI-powered WhatsApp customer support for Shopify brands** 22 steps · calls a model · Slack, WhatsApp](https://millionrounds.com/workflow/ai-powered-whatsapp-customer-support-for-shopify-brands)
- [**Manage inventory reorders with Google Sheets and Slack** 22 steps · Gmail, Google Sheets](https://millionrounds.com/workflow/manage-inventory-reorders-with-google-sheets-and-slack)
- [**Score Shopify customer churn risk and sync results** 22 steps · Gmail, Slack](https://millionrounds.com/workflow/score-shopify-customer-churn-risk-and-sync-results)
- [**Synchronizing WooCommerce inventory and creating products** 20 steps · calls a model · Google Sheets, Slack](https://millionrounds.com/workflow/synchronizing-woocommerce-inventory-and-creating-products)
- [**Triage warranty claims and issue RMAs with OpenAI and Shopify** 24 steps · calls a model · Airtable, Gmail](https://millionrounds.com/workflow/triage-warranty-claims-and-issue-rmas-with-openai-and-shopif)
- [**Automate demand forecasting & inventory ordering with MySQL** 24 steps · MySQL, Slack](https://millionrounds.com/workflow/automate-demand-forecasting-and-inventory-ordering-with-mysq)