Paid orders no longer print as a paper stack. They batch into picking waves by warehouse zone and carrier cutoff, land on pickers' tablets in walk order, and every line is barcode-confirmed — cutting picking errors by 81%.
Typical results
23
Orders per picker-hour, from 14
99%
Orders make carrier cutoff
100%
Lines scan-verified
Figures reflect typical results for this kind of automation.
The challenge
The warehouse picked from printed lists in order-number sequence, sending pickers zigzagging across all four zones for a single order. Mispicks ran at 2.1% of lines — every one a costly reship and an unhappy D2C brand — and 6% of orders missed their carrier cutoff during busy weeks.
Before and after
Mispick rate
−81%Orders per picker-hour
+64%Orders missing carrier cutoff
−83%The automation
We built a wave engine that pulls paid orders from every connected store and batches them by warehouse zone, carrier and cutoff time. Each wave lands on pickers' tablets as a walk-ordered list, and every line requires a barcode scan — the wrong item simply won't confirm. Completed waves route to packing stations sorted by carrier, and a live board shows supervisors exactly which cutoffs are at risk.
How it works
- 01
Orders pool
Paid orders stream in from every connected store in real time.
- 02
Waves form
Orders batch by warehouse zone, carrier and cutoff into balanced picking waves.
- 03
Tablets guide the walk
Each picker follows a walk-ordered list through a single zone, no zigzagging.
- 04
Scan to confirm
Every line needs a barcode match — the wrong item simply won't confirm.
- 05
Cutoff radar
A live board flags any wave trending late before the carrier truck arrives.
Starts from
- Paid orders
- Zone & stock map
Delivers
- Tablet pick lists
- Barcode line confirmation
- Carrier-sorted dispatch
The impact
Mispicks dropped 81%, from 2.1% of lines to 0.4%, and pickers now complete 23 orders per hour instead of 14. Missed carrier cutoffs fell from 6% to under 1%, and the warehouse absorbed two new D2C brands without adding a single picker.
Questions about this automation
How are picking waves built?
Paid orders from every connected store pool together and are grouped by warehouse zone, carrier and cutoff time. Waves are balanced so each picker gets a manageable list, and every list is sorted in walking order through a single zone. Orders with the earliest carrier cutoff are released into waves first.
What happens when a picker scans the wrong item?
The line will not confirm. The tablet shows the expected product and bin so the picker can correct it on the spot. If a bin is empty or short, the picker marks it on the tablet and the order is flagged for the supervisor, instead of reaching packing incomplete.
Which systems does the wave engine connect to?
It pulls orders from the store platforms the warehouse serves, such as Shopify or WooCommerce, reads bin locations from the warehouse stock map, and sends finished waves to packing stations sorted by carrier. A live board shows supervisors which cutoffs are at risk. This is a multi-step build, usually rolled out in stages.