Guides / Picking and packing mistakes

5 picking and packing mistakes, and how to fix them

The five picking and packing mistakes behind most Shopify mis-ships and slow fulfillment days, and the process fix for each, no warehouse system needed.

When a team keeps hunting for items or reshipping orders, it's rarely a people problem. It's usually one of five process gaps. Each one has a fix you can put in place this week.

1. Picking order by order

The problem: the picker "shops" each order separately and walks the same aisles over and over.

The fix: batch orders and pick by product. One list adds up the quantity of each item across all orders in the batch, so the picker pulls 12 of a SKU once instead of one at a time, twelve times. If you need orders kept separate as you go, use cart picking with one tote per order.

2. A pick list that isn't in walking order

The problem: sorted by product name or order number, the list sends pickers zig-zagging across the room.

The fix: store a bin location for every product (a product metafield works) and sort the list by it, in natural order so A2 comes before A10. The list then reads like a route. How bin-sorted lists work.

3. Mixing locations in one pick

The problem: an item shows as in stock but it's in the other store or the other warehouse, so the picker can't find it.

The fix: filter by location first, and run one batch per location. Check stock before the batch is created, so orders that can't be filled are flagged before anyone starts walking.

4. Trusting eyes instead of scans

The problem: similar products (the medium and the large, the navy and the black) look alike on a busy afternoon. A single mis-pick becomes a return, a reship and an unhappy customer.

The fix: scan twice. Scan each unit at the shelf to confirm the item, then again at the box to confirm it's going to the right order. A phone camera or a cheap handheld scanner is enough. Scan to verify.

5. No way to flag a problem without stopping everything

The problem: an item is short or damaged, the picker writes it on the sheet, and the order ships incomplete anyway because the note never reached the packer.

The fix: make exceptions part of the workflow. Flag the item with a reason (short, damaged, backorder), hold every order that needs it out of fulfillment, and resolve it when the stock turns up. Everyone can see what's held and why.

Putting it together

None of these need a warehouse management system. A batch per location, a bin-sorted list, two scans and a way to flag exceptions cover most of the mistakes small Shopify teams make. That's the workflow Pickadoodl is built around, and it's free up to 75 orders a month if you want to try it on your own orders.

Questions

What's the most common cause of mis-shipped orders?

Look-alike items picked by eye: sizes, colors and variants that differ only on the label. Scanning each unit at pick and again at pack catches most of them.

Do I need a warehouse management system to fix picking errors?

Usually not. Batching, bin-sorted pick lists, scan verification and exception flags fix most errors for small and mid-size Shopify teams.

Try it on your own orders.

Free up to 75 orders a month, with every feature. If anything trips you up, email me. I read every message.

Install free on Shopify