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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 Prowork 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, Prowork can pull that data automatically and turn it into always-up-to-date dashboards, exception reports, and alerts. No manual digging required.

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How to authenticate

RetailReady AI authenticates using your account email and password, which are exchanged for a secure access token behind the scenes.
1
In your Prowork flow, add a Pull from RetailReady AI step.
2
Click Authorize and enter the email and password for your RetailReady AI account when prompted.
3
Prowork 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.
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.

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Available data

Using the RetailReady AI integration in Prowork, 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.
  • Chargebacks: retailer chargebacks against your brand, including the amount deducted, amount recovered, category, dispute status, dispute deadline, and any orders in RetailReady that match the chargeback’s PO number. Filterable by retailer, PO number, chargeback number, date range, dispute status, and open/closed status.

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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.
  • 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.
  • Track chargeback recovery and dispute status: Monitor open chargebacks by retailer and dispute status to see how much is at stake and where disputes are stalling.
  • Prioritize chargebacks before deadlines expire: Surface chargebacks with an approaching dispute deadline so the team can act before the window to dispute closes.
  • Match chargebacks to shipment evidence: Connect chargebacks to their matching orders to quickly pull the packing and shipping proof needed to support a dispute.

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Tips for using Prowork 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 Prowork’s Filter and Formula steps to flag orders with unusually high VAS actions, missing ASNs, or quantity mismatches, then trigger email or Slack notifications.
  • Watch dispute deadlines closely. Filter chargebacks by dispute status and deadline so finance and compliance teams get advance notice before a dispute window expires.
  • 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 Prowork’s step notes to record why certain filters or thresholds were chosen, so teammates can maintain the flow as retailer requirements evolve.
Last modified on August 28, 2026