> ## Documentation Index
> Fetch the complete documentation index at: https://parabola.io/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Pull from RetailReady AI

> Pull orders, cartons, pallets, and compliance analytics from RetailReady AI into Parabola to automate chargeback reporting, ASN monitoring, and cross-facility compliance dashboards.

RetailReady AI is a compliance platform built for brands, 3PLs, and warehouses that ship to major retailers like Walmart, Target, and Amazon. Instead of relying on paper packing manuals and manual spreadsheet tracking, RetailReady digitizes retailer routing guides into step-by-step packing workflows and uses computer vision to catch compliance errors before an order ships — helping teams avoid costly chargebacks.

Connecting RetailReady AI to Parabola lets operations and compliance teams automate the reporting and reconciliation work that normally happens after the fact. Instead of manually exporting order, pallet, and carton data to check for compliance issues, Parabola can pull that data automatically and turn it into always-up-to-date dashboards, exception reports, and alerts — no manual digging required.

## How to authenticate

RetailReady AI authenticates using your account email and password, which are exchanged for a secure access token behind the scenes.

<Steps>
  <Step>
    In your Parabola flow, add a **Pull from RetailReady AI** step.
  </Step>

  <Step>
    Click **Authorize** and enter the email and password for your RetailReady AI account when prompted.
  </Step>

  <Step>
    Parabola will securely exchange these credentials for an access token and handle renewing it automatically, so you won't need to re-enter your login regularly.
  </Step>
</Steps>

That's it — no separate developer portal or API key setup is required. Once authorized, your RetailReady AI data is ready to pull into your flow.

## Available data

Using the RetailReady AI integration in Parabola, you can pull in the following data:

* **Facilities** — your list of warehouse facilities, including facility names and external facility codes.
* **Brands** — the brands associated with a given facility, including brand names and external brand codes.
* **Retailers** — the retailers you ship to for a given facility, with the option to filter by brand.
* **Orders analytics (summary)** — a list of orders with key packing and shipping metrics — cartons, pallets, labels, units, SKUs, VAS actions, and order status — filterable by creation date, ship window, pack date, retailer, brand, or ASN.
* **Orders analytics by facility** — the same order-level analytics as above, scoped to a specific facility, with additional filters like picksheet code and PO number, plus line-item detail (ordered vs. shipped quantities by SKU).
* **Order details** — a full breakdown of a single order, including its pallets, cartons, and the SKUs packed into each — along with carrier, tracking, and PO information.

## Common use cases

* **Monitor compliance performance across retailers**: Track order-level metrics like cartons, pallets, and VAS actions by retailer and brand to spot patterns in chargeback risk.
* **Audit orders against retailer packing requirements**: Pull order and carton-level detail to verify that SKUs, labels, and pallet configurations match what each retailer expects before shipment.
* **Track ASN and shipment timeliness**: Monitor when ASNs were sent relative to ship windows to catch late notifications before they trigger penalties.
* **Consolidate compliance reporting across facilities**: Combine order analytics from multiple warehouses into a single dashboard for leadership visibility.
* **Reconcile ordered vs. shipped quantities**: Compare ordered and shipped quantities at the line-item level to flag shortages or overages before they become disputes.
* **Flag orders needing attention**: Surface orders with unusual carton, pallet, or VAS action counts so supervisors can review them before they ship.

## Tips for using Parabola with RetailReady AI

* **Schedule flows around shipping cycles.** Run your flows daily, or more frequently during peak shipping periods, to keep compliance data current.
* **Filter early to keep flows fast.** Use date, retailer, or brand filters on your orders analytics pull to focus only on the orders you actually need to review.
* **Join facility, brand, and retailer data.** Combine facility, brand, and retailer lookups with your order data to build fully labeled, readable reports instead of raw IDs.
* **Set up alerts for exceptions.** Use Parabola's Filter and Formula steps to flag orders with unusually high VAS actions, missing ASNs, or quantity mismatches, then trigger email or [Slack](/docs/product/integration/slack) notifications.
* **Combine with warehouse or ERP data.** Merge RetailReady AI data with your WMS or ERP to get a complete view from order intake through compliance sign-off.
* **Document your logic.** Use Parabola's step notes to record why certain filters or thresholds were chosen, so teammates can maintain the flow as retailer requirements evolve.