Custom Order Management System Development
Order volume outgrows a single sales channel long before the systems behind it catch up. A retailer selling through Amazon, Walmart, a Shopify or headless storefront, wholesale EDI accounts, and a phone/B2B sales desk usually ends up with orders landing in five different places, each with its own status model, its own idea of shipped, and its own quirks around cancellations and returns. Spreadsheets and manual re-keying fill the gaps until the gaps get too big, and then orders sit unallocated, ship from the wrong warehouse, or double-ship because two systems both thought they owned the inventory.
We build order management systems as the orchestration layer that sits between every channel that creates an order and every system that has to fulfill one — inventory, warehouse operations, drop-ship vendors, carriers, payment processors, and accounting. The OMS owns the order lifecycle end to end: capture, validation, payment authorization and capture, allocation across locations, routing to the right fulfillment path, split shipments and backorder handling, carrier hand-off, and returns/RMA processing — all reconciled back to a single order status that every downstream system and every customer-facing surface can trust. This is custom-built against your actual channel mix and fulfillment network, not a generic multi-channel listing tool retrofitted to do order routing.
Problems we solve
Order truth is scattered across channels
Marketplace orders, storefront orders, wholesale EDI (850/855/856/810) orders, and phone orders each arrive in a different format with a different status vocabulary. Without a canonical order record, customer service cannot answer where is my order without checking three systems, and finance cannot close the books without reconciling the same order twice.
Allocation and fulfillment routing is manual guesswork
Deciding which warehouse, which drop-ship vendor, or which combination of both should fulfill a given line item — based on stock position, proximity, cost, and vendor lead time — is usually done by a person eyeballing a spreadsheet. That does not scale past a handful of daily orders and produces inconsistent shipping cost and delivery time.
Exceptions consume the operations team
Partial stock, payment holds, address validation failures, carrier rate-shopping ties, vendor backorders, and return/RMA edge cases do not fit the happy path most off-the-shelf tools are built for. When the system cannot model the exception, it becomes a manual ticket — and at volume, exceptions become the majority of a team daily work.
How we approach it
A single canonical order model across every channel
We build a normalized order schema that every channel adapter — marketplace APIs, storefront checkout, EDI translator, phone/CSR order entry — writes into. One order ID, one status state machine, one audit trail, regardless of where the order originated. Channel-specific quirks (Amazon order acknowledgment windows, EDI 856 ASN timing, wholesale net-terms holds) are handled in the adapter layer so the core order engine stays clean.
Rules-driven allocation and split-fulfillment routing
A configurable allocation engine evaluates each order line against real-time inventory position (owned warehouses, 3PLs, drop-ship vendor feeds), then routes to the lowest-cost, fastest, or policy-preferred fulfillment source — splitting a single order across multiple shipments and vendors when no single location can cover it. Rules are data-driven so operations can tune routing priorities without a code deploy.
Explicit exception handling as a first-class workflow
Backorders, partial shipments, payment declines/holds, address validation failures, carrier rate exceptions, and RMA/return flows are modeled as named states in the order state machine — not silent failures. Each exception routes to a queue with the context needed to resolve it (or auto-resolves per configured policy), so operations works a prioritized queue instead of hunting for what went wrong.
What you get
- Unified order capture and adapters for marketplace, storefront, wholesale/EDI (X12 850/855/856/810), and manual/phone order entry
- Payment authorization, capture, and refund orchestration integrated with your processor(s), including split-payment and net-terms handling
- Configurable inventory allocation and fulfillment routing engine supporting multi-warehouse, 3PL, and drop-ship vendor networks
- Split-shipment, backorder, and partial-fulfillment logic with customer-facing status that reflects reality per shipment
- Returns and RMA workflow with restock/dispose/vendor-return branching and accounting-side credit reconciliation
- Unified order status API and operations dashboard giving every internal system and support team one source of truth
Technologies & integrations
Our delivery process
- 01Discovery
We map every current order source, every fulfillment path (owned warehouse, 3PL, drop-ship vendor), payment flows, and the exception cases operations already deals with manually — so the routing rules and state machine are built against reality, not assumptions.
- 02Architecture
We design the canonical order schema, the state machine covering every status and exception path, the allocation/routing rule model, and the integration contracts to inventory, WMS, carriers, and accounting — reviewed with your team before a line of production code is written.
- 03Build
Channel adapters, the core order engine, the allocation and routing service, and the exception-handling queues are built incrementally, with each channel and fulfillment path validated against real order data as it lands.
- 04QA & UAT
We test the exception paths as thoroughly as the happy path — partial stock, payment declines, split shipments, EDI ASN mismatches, RMA edge cases — and run your operations team through UAT on real order scenarios before go-live.
- 05Deploy & Support
Phased cutover by channel (so you are never fully dependent on an unproven system on day one), with monitoring on allocation accuracy and exception volume, plus ongoing support as new channels, warehouses, or vendors are added.
Apparel Globe — a multi-channel operations platform
Frequently asked questions
Can this replace the order management built into our marketplace or storefront platform?
It sits above those platforms rather than replacing their native checkout or listing tools. Amazon, Walmart, and your storefront still capture the sale; the OMS becomes the layer that normalizes what happens after — allocation, routing, split fulfillment, and status — so no single channel built-in order tools have to (or can) manage fulfillment across your whole network.
How does the system decide which warehouse or vendor fulfills an order?
Allocation runs against a configurable rule set evaluating live inventory position, fulfillment cost, delivery speed, and any business-priority rules you set (e.g., prefer owned warehouse over drop-ship, or route wholesale orders to a specific facility). Rules are data-driven, so priorities can be adjusted by your operations team without a redeploy.
What happens when an order cannot be fully allocated from one location?
The engine splits the order across the fulfillment sources needed to cover it — for example shipping in-stock lines from your warehouse immediately while routing a backordered line to a drop-ship vendor — and tracks each resulting shipment against the parent order so the customer sees one accurate status, not fragmented confusion.
Do you integrate with our existing accounting and WMS, or do we need to replace them?
Integration, not replacement, is the default approach. The OMS is built to sit between your existing accounting system, WMS, inventory data, and carrier accounts — passing order, shipment, and financial events across via API or EDI so each system keeps doing what it already does well.