Ecommerce operations team reviewing backorder inventory and customer delivery information
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Posted by Mahdi
Ecommerce Inventory

BigCommerce Backorders: Setup and Integration Guide

Learn how to configure BigCommerce backorders across inventory, storefront, checkout and connected systems, with a practical testing and rollout plan.

BigCommerce made backorder messaging generally available on 1 September 2026. Merchants can now carry backorder quantities, limits and messages through more of the commerce stack, from inventory and product pages to carts, checkout, orders and headless storefront APIs.

The commercial opportunity is straightforward: keep accepting orders for stock that can genuinely be supplied later while giving customers a clearer expectation before they pay. The implementation risk is also straightforward: if your website says one thing while the warehouse, ERP, order-management system or service team sees another, the feature can create more confusion than it removes.

This guide is for Australian ecommerce owners, operations managers, customer-service leads, developers and technology decision-makers using BigCommerce. It explains what changed, which systems need attention, how to design the customer message and what to test before switching backorders on broadly.

Backorder state now travels further

The release connects shopper messaging with operational inventory and order data instead of treating backorders as a product-page label.

Shopper surfaces

Product detail, cart, checkout and order-confirmation experiences can show relevant backorder information.

Inventory controls

Settings cover quantity, availability prompts, variant messages, quantity on hand and shipping expectations.

Operational data

Inventory and Orders APIs expose backordered quantity, limits and messages for connected systems.

Headless support

Storefront REST and GraphQL data lets custom storefronts render backorder status deliberately.

Why BigCommerce backorders matter now

A backorder is not the same as an ordinary out-of-stock item. The merchant is intentionally accepting an order today because it expects to supply the item later. That can preserve revenue, improve availability for repeat customers and make demand visible to purchasing teams. It also creates a promise that must survive every hand-off.

BigCommerce's release provides a more complete data path. Store and channel settings control what shoppers see. Location inventory can expose available_to_sell, qty_backordered, backorder_limit and a per-item message. Cart responses can include a stockPosition object. Order lines can identify the quantity backordered for fulfilment and service workflows.

For Australian merchants, the message is not merely a conversion feature. The ACCC says businesses that know about a supply delay should give clear and accurate information about stock availability, likely timing and the solution if supply cannot happen on time. It also says customers should be updated proactively when delays arise after purchase. Platform configuration helps surface the facts, but the business remains responsible for the accuracy of the promise.

This is practical systems guidance, not legal advice. Have your customer terms and high-risk scenarios reviewed for your circumstances.

End-to-end BigCommerce backorder workflow from inventory through storefront, order, fulfilment and customer updates
Reference workflow

Carry one promise from stock to service

A reliable flow starts with approved inventory policy, carries the same state through customer and operational systems, and closes the loop when dates change.

Define the backorder source of truth first

Before enabling a storefront message, decide which system owns each operational fact. BigCommerce may be the source of truth for smaller stores. A larger merchant may let an ERP, warehouse platform or order-management system own available-to-sell quantity and expected replenishment dates. Either model can work; two systems independently editing the same promise will not.

FactRecommended ownerDownstream consumers
Whether an SKU can be backorderedMerchandising or inventory policyBigCommerce, storefront, sales channels
Backorder limitInventory planning systemBigCommerce and order validation
Expected ship windowERP, purchasing or supplier workflowProduct page, cart, service team, notifications
Quantity backordered on an orderCommerce order recordOMS, WMS, finance, customer service
Delay update and resolutionOperations or customer-service workflowEmail/SMS, helpdesk, customer account

Write the ownership down. Include the refresh frequency, acceptable staleness, fallback message and person responsible when the feed fails. If a supplier date is uncertain, use a truthful range or a clear “we will confirm” workflow rather than turning an estimate into a false guarantee.

Configure customer messaging as a journey

The API exposes separate controls because each page answers a different customer question. Do not copy one generic “available on backorder” sentence everywhere.

  • Product page: Can I buy this SKU, how much is available now and what is the likely dispatch window?
  • Cart: Which units are ready and which will be delayed? Will the order ship together or separately?
  • Checkout: What delivery expectation is the customer accepting before payment?
  • Order confirmation: Which lines are backordered and what happens next?
  • After purchase: Has the expected date changed, and can the customer cancel, substitute or split the order?

BigCommerce inventory settings include toggles for showing quantity on backorder, quantity on hand, the per-variant message, an availability prompt and a default shipping-expectation prompt. The documented defaults are off, which is a useful reminder to choose the message deliberately instead of assuming the platform will publish it for you.

Write messages that operations can keep true

Prefer concrete operational language: “Two ready to ship; three expected in 10–15 business days” is more useful than “More coming soon.” Avoid exact dates unless the supply feed and customer-update process can support them. Make split-shipment, cancellation and payment treatment clear where they affect the order.

Map every connected system

SystemWhat to verifyFailure symptom
ERP or inventory platformBackorder eligibility, limits, replenishment date and location mappingWebsite keeps selling after supply becomes uncertain
Stencil themeProduct, cart and confirmation templates render enabled fields accessiblyData exists but customers never see it
Headless storefrontREST or GraphQL queries request and display stock position consistentlyCustom frontend treats backordered units as ready stock
Checkout customisationMixed ready/backordered carts show the correct shipping expectationCustomer accepts an ambiguous fulfilment promise
OMS or WMSOrder-line backordered quantity survives import and allocationWarehouse attempts to fulfil units that are not available
CRM or helpdeskAgents can see status, expected window and last customer updateSupport gives a different answer from the website
Email and SMSTemplates distinguish ready, backordered, split and delayed linesConfirmation implies the whole order is shipping
Analytics and financeReports separate ordered, allocated, shipped, cancelled and backordered valueRevenue and demand reports hide fulfilment exposure

For a headless build, use the platform fields as structured data. The Storefront Cart API can return quantityOnHand, quantityBackordered, quantityOutOfStock and backorderMessage inside stockPosition when the relevant sub-resource is included. Render those values through one shared component so the cart and checkout do not drift apart.

Run an end-to-end backorder test matrix

Do not approve the change after checking one product page. Test the complete order lifecycle in a non-production environment or with controlled SKUs and orders.

  1. Fully available: all units are ready and no backorder language appears.
  2. Partially available line: part of one SKU is ready and the remainder is backordered.
  3. Mixed cart: one line is ready and another is entirely backordered.
  4. Limit reached: requested quantity exceeds the allowed backorder quantity and the customer receives a usable response.
  5. Multiple locations: allocation and messages remain correct when stock exists in different locations.
  6. Supplier date moves: the source date changes after purchase and the customer-update workflow triggers.
  7. Cancellation or substitution: service staff can resolve a delayed line without corrupting stock or payment records.
  8. Integration outage: stale or missing inventory data causes a safe fallback rather than unlimited selling.

For each scenario, compare the product page, cart, checkout, confirmation, BigCommerce order, downstream order record, warehouse view, customer notification and reporting output. Capture screenshots and order IDs so defects are reproducible.

Move from policy to controlled launch

Start with a small product group and expand only after the operational promise survives real orders.

Week 1: Decide

Choose eligible SKUs, limits, message rules, system owners, customer remedies and safe fallbacks.

Week 2: Connect

Map inventory, storefront, checkout, order, fulfilment, service, notification and reporting fields.

Week 3: Test

Run the full scenario matrix, verify accessibility and reconcile each order across connected systems.

Week 4: Pilot

Launch a controlled catalogue segment, monitor exceptions daily and expand only when data stays consistent.

Monitor the promise after launch

A healthy backorder programme needs more than sales totals. Track how often the business creates a delayed promise and how reliably it closes that promise.

  • backordered units and value by SKU, supplier and location
  • orders that exceed the original expected ship window
  • date changes and customers notified
  • cancellation, substitution and refund rate for backordered lines
  • support contacts caused by availability or delivery confusion
  • difference between source inventory and BigCommerce state
  • integration failures, stale-feed age and fallback activations

Review the highest-risk exceptions daily during the pilot. A growing backorder number is not automatically bad if the dates remain accurate and customers accept the trade-off. A small number of old, unexplained orders is more concerning.

Common implementation mistakes

  • enabling backorders store-wide before defining eligible products and limits
  • showing a product-page message that disappears in cart or checkout
  • treating supplier estimates as guaranteed dates
  • failing to pass backordered quantity into the OMS, WMS or service desk
  • assuming a headless storefront receives optional stock fields automatically
  • not defining what happens when the inventory feed becomes stale
  • sending the original date once and never notifying customers about changes
Frequently asked questions

BigCommerce backorder FAQs

Connect commerce to operations

Build a backorder workflow customers can trust

VaniTech can configure BigCommerce, connect inventory and fulfilment systems, update custom storefronts, and test the complete order journey before launch.