United Sports Brands
Buy with Prime, Mixed Orders, and Dynamics GP in Perfect Sync Without a Single Premature Invoice
North America
Disclaimer
United Sports Brands, a company from the APPSeCONNECT customer base. appse ai is APPSeCONNECT's own product, built with significantly more advanced automation and AI capabilities. This case study has been adapted to reflect how United Sports Brands's use case would run on appse ai today.
Shopify + Buy with Prime ↔ Microsoft Dynamics GP, automated with appse ai
- Company
- United Sports Brands
- Headquarters
- California, USA
- Industry
- Manufacturing — Sports & Active Lifestyle
- Integration Scope
- Buy with Prime order sync, mixed-order splitting, conditional invoicing, fulfillment-status-triggered imports, financial segregation
About United Sports Brands
United Sports Brands is a customer of APPSeCONNECT. appse ai is APPSeCONNECT’s own product, built with significantly more advanced automation and AI capabilities. This case study has been adapted to reflect how United Sports Brands’ use case would run on appse ai today.
United Sports Brands is a recognized manufacturer in the sports and active lifestyle sector, known for high-quality products and gear. The company runs its direct-to-consumer storefront on Shopify and relies on Microsoft Dynamics GP for back-office operations including inventory, financial reporting, and invoicing. To meet customer demand for fast, reliable delivery, United Sports Brands adopted Amazon’s Buy with Prime (BWP) service — letting customers check out on Shopify with orders fulfilled by Amazon’s logistics network.
The operational challenge
Adopting Buy with Prime introduced a layer of complexity that standard Shopify–Dynamics GP integrations aren’t built for. Orders now came in two flavors: pure BWP orders fulfilled entirely by Amazon, and mixed orders containing both Amazon-fulfilled and internally-fulfilled items. The existing integration imported everything into Dynamics GP immediately — before Amazon had even shipped — creating premature invoices, inventory errors, and financial records that didn’t reflect reality. Mixed orders arrived as single documents with no way to tell which items Amazon owned and which the warehouse did. And there was no automated method to label, segregate, or report on Amazon-fulfilled transactions separately. Every gap required manual intervention from accounting and operations.
The problem
When United Sports Brands adopted Buy with Prime on Shopify, the gap between the BWP fulfillment model and Microsoft Dynamics GP’s standard order flow created three synchronization problems that manual effort could not solve cleanly:
- 01
Premature order imports & incorrect invoicing
The standard integration imported all order lines into Dynamics GP the moment an order was created in Shopify — before Amazon confirmed shipment. Invoices were generated for items that hadn’t shipped yet, corrupting inventory levels and financial reconciliation for everything pending Amazon fulfillment.
- 02
Mixed orders with no fulfillment separation
Orders containing both BWP items (Amazon-fulfilled) and non-BWP items (warehouse-fulfilled) were imported as a single document into Dynamics GP. There was no way to determine which fulfillment channel owned which line item, and a single document couldn’t support the separate invoicing workflows each channel required.
- 03
No automated BWP transaction segregation
There was no automated method to label and separate Amazon-fulfilled orders from standard orders in Dynamics GP. Reporting on Amazon-related sales and logistics required manual filtering, and financial segregation of BWP transactions was effectively nonexistent.
This is the exact pattern appse ai exists to remove: a new fulfillment model layered onto existing systems, with no integration logic smart enough to handle the timing, splitting, and segregation it demands.
Why appse ai
United Sports Brands needed an integration layer intelligent enough to handle conditional timing (sync only after Amazon ships), automatic document splitting (separate BWP and non-BWP lines into independent sales documents), and systematic transaction tagging (a dedicated Customer ID and Location ID for all Amazon-fulfilled orders) — all without custom middleware or manual accounting intervention.
appse ai delivered a purpose-built integration between Shopify and Microsoft Dynamics GP that treated Buy with Prime as a first-class fulfillment channel — with conditional sync triggers, automated mixed-order splitting, dual item mapping, and standardized financial segregation built into the workflow logic, not bolted on as a workaround.
The solution — always-on workflows for conditional sync, order splitting & financial segregation
Instead of importing everything immediately and sorting it out later, appse ai deployed intelligent workflows that respect the timing, structure, and reporting requirements of a hybrid fulfillment model:
- Dedicated BWP Process Flow
A segregated pipeline for Buy with Prime orders, triggered by the ‘Buy with Prime’ tag on Shopify orders. Standard orders flow through their normal path unaffected — BWP orders enter a purpose-built workflow with its own sync logic.
- Conditional, Fulfillment-Triggered Sync (Shopify → Dynamics GP)
BWP order lines are imported into Dynamics GP only after Amazon updates the fulfillment status in Shopify. Invoices are generated strictly for items that have shipped — eliminating premature imports and maintaining financial accuracy. The sync uses Shopify’s “Updated Date” as the trigger to hit the correct post-fulfillment window.
- Automated Mixed-Order Splitting
Mixed orders containing both Amazon-fulfilled and warehouse-fulfilled items are automatically split into two separate sales documents in Dynamics GP — one for BWP lines, one for non-BWP lines. Each document follows its own invoicing and inventory tracking workflow independently.
- Dual Item Mapping & Fulfillment Differentiation
Shopify’s Fulfillment Service field is used to differentiate items: “amazon fulfilled” for BWP items and “manual” for non-BWP items, with two separate data mappers ensuring precise identification of each item’s fulfillment source.
- Standardized Financial Segregation & Reporting
All BWP orders are automatically assigned to a designated Customer ID (WABP001) and Location ID (AMAZ1) in Dynamics GP — enabling instant, accurate reporting and clean financial segregation of Amazon-fulfilled transactions without manual filtering.
Each workflow runs as a closed loop: detect the event in one system, resolve it against the other, execute the update, and only surface an exception to a human when judgment is genuinely required.
The results
With purpose-built workflows respecting the timing and structure of a hybrid fulfillment model, United Sports Brands adopted Buy with Prime without compromising back-office integrity:
- Invoices in Dynamics GP reliably reflect only items shipped by Amazon — zero premature financial postings.
- Mixed orders split automatically into separate documents for independent BWP vs. warehouse fulfillment tracking.
- Amazon-fulfilled transactions tagged and segregated via a dedicated Customer ID and Location ID for instant reporting.
- Delay controls guarantee clean, complete data imports — significantly reducing audit and reconciliation work.
- Hybrid fulfillment model (Amazon + internal warehouse) adopted successfully without compromising back-office integrity.
- Accounting team freed from manual filtering and reconciliation of BWP transactions.
Frequently asked questions
How does appse ai integrate Shopify Buy with Prime orders with Microsoft Dynamics GP?
appse ai uses a dedicated BWP process flow triggered by Shopify order tags, syncing Amazon-fulfilled order lines to Dynamics GP only after Amazon confirms shipment — with automatic mixed-order splitting, dual item mapping, and standardized financial tagging built in.
