Reduce Order Errors: Wrong Items, Mis-ships and Late Dispatch

Most order errors, such as the wrong item, wrong quantity, wrong address or a parcel that ships late, start with data being re-keyed by hand or a step with no system check. The fix is to remove re-keying, scan to confirm every pick and pack, generate labels from order data, and flag orders approaching their dispatch deadline. Accuracy matters: 73% of shoppers say a great delivery experience makes them more likely to buy again, and marketplaces restrict sellers whose defect rates climb.

The main types of order error

• Wrong item or variant. Similar SKUs, size or colour mix-ups, or a listing mapped to the wrong product.
• Wrong quantity. One unit sent instead of two, or a bundle missing a component.
• Wrong address or service. Typos when an address is retyped into a courier portal, or the standard service chosen for an express order.
• Late dispatch. Orders missed in one of several seller portals, or picked after the cut-off.
• Missing or invalid tracking. Tracking not uploaded, or uploaded against the wrong order.
• Item not as described. The product is correct but the listing was wrong: inaccurate dimensions, compatibility or materials.

Where errors come from

Descartes' 2025 Warehouse Performance Benchmark Report says mis-ships usually come from inaccurate data entry, compounded by a lack of validation at picking, packing or labelling, so mistakes go unnoticed until the customer opens the box. It also notes that many businesses underestimate their mis-ship rate because customers rarely complain about receiving too much.

Manual entry has a measurable error rate. Studies by Barchard and Pace found single data entry leads to error rates of around 1%, and checking by eye was no more accurate than entering once. Each order involves many keyed values: SKU, quantity, name, street, suburb, postcode, service and tracking number. Every one that is typed rather than transferred is a chance for error.

Listing data is the other source. The ACCC is clear that a product must match the description given by the business; its example is towels ordered as pink from a colour chart that arrive red. If titles, attributes or images are inconsistent across channels, the right item can still be the wrong item from the customer's point of view.

What errors cost

The direct cost is reshipping, return postage, the product itself if it is not resaleable, and staff time. One business profiled by Descartes had been losing an average of $400 per mis-shipped order.

The indirect costs are larger:

• Marketplace standing. Amazon Australia's Order Performance policy requires an order defect rate (negative feedback, A-to-z claims, chargebacks) under 1%, and a late shipment rate under 4%. eBay Australia caps the transaction defect rate at 2%, with higher fees for sellers who stay Below Standard.
• Repeat business. Australia Post reports 73% of shoppers say a great delivery experience makes them more likely to buy again.
• Returns load. In the US, NRF and Happy Returns estimate 19.3% of online sales will be returned in 2025, and 71% of consumers say they are less likely to shop again after a poor returns experience. Every avoidable error adds to that load.

Checks that prevent errors

1. Stop re-keying. Orders should flow from each channel into one system, and labels should be generated from that data. This alone removes most address and service errors.
2. Scan to pick and scan to pack. Confirm SKU and quantity against the order at both steps. Descartes recommends barcode or RFID confirmation and system-guided picking.
3. Separate look-alike SKUs. Do not store similar variants in adjacent bins without clear labels.
4. Define bundles centrally, so each component appears on the pick list.
5. Flag deadlines. Sort the queue by marketplace dispatch deadline, not order date.
6. Validate addresses at order import, and hold orders with incomplete details for review.
7. Upload tracking automatically from the label, never by copy-and-paste.
8. Keep one master listing record, so dimensions, materials and compatibility are the same on every channel.
9. Record a reason for every return and cancellation. Descartes suggests a single source of truth for returns data to spot repeat problems.

For layout and productivity improvements that support accuracy, see warehouse picking and packing efficiency.

Key figures

• Single data entry produces error rates of around 1% (Barchard & Pace, summarised by UNLV, 2017).
• One business profiled lost an average of $400 per mis-shipped order before fixing its process (Descartes, 2025).
• 73% of shoppers say a great delivery experience makes them more likely to buy again (Australia Post, 2026).
• Amazon Australia requires an order defect rate under 1% (Amazon Seller Central, 2026).
• An estimated 19.3% of US online sales will be returned in 2025 (NRF, 2025).

How eComChannels helps

eComChannels removes the hand-offs where most errors start. Order management imports orders from every connected marketplace and store with SKU, quantity, address and dispatch deadline intact, so nothing is retyped, and sorts the queue so orders near their deadline are handled first. AI auto shipping creates the label from that same order data with the right carrier and service for Australia Post, StarTrack, CouriersPlease or Allied Express, and sends tracking back to each marketplace automatically, which protects late shipment and tracking metrics.

On the listing side, AI listing optimisation keeps one master product record and drafts channel listings to each marketplace's rules for people to approve, so product details are consistent everywhere and "not as described" returns are less likely. Fewer errors mean fewer refunds, healthier seller metrics and better visibility on marketplaces that reward reliable sellers. To review your error points with us, book a demo or start a 30-day free trial.

FAQ

What is a good mis-ship rate?

Many businesses accept a small rate, but Descartes argues 0% is achievable with system-guided picking and scan confirmation. Track mis-ships per hundred orders and investigate every one.

How do marketplaces measure order errors?

Amazon uses order defect rate, cancellation rate, late shipment rate and valid tracking rate. eBay uses transaction defect rate and cases closed without seller resolution. Each has a threshold that can lead to restrictions or extra fees.

Is double-checking orders by eye enough?

Research suggests not. Visual checking was found to be no more accurate than a single entry. System checks such as barcode scans and automatic data transfer are more reliable.