See exactly how your warehouse runs.
Fulfillment performance and organization insights.
- Who packed what
- Fulfillment speed
- Team & organization
- Sales insights
Four perspectives
Every angle that matters for a working warehouse.
OrderKrab records every action across every order, then rolls it up four ways - by packer, by SKU, by fulfillment, by organization - so the question you actually have always has an answer.
Per-packer performance
Throughput, average time per order, mispack rate, and trend over time - for every packer on the team. Spot top performers; spot anyone struggling.
Packer A vs Packer B
throughput delta this month
+22%
Per-SKU insights
Which products take longest to pack, which generate the most scan errors, and how that's changed since you tweaked the picking layout.
Top slowest SKUs
avg pack time · SKU-1042
3:24
Per-fulfillment timeline
Every order has a complete action log - when it was claimed, when each item was scanned, when the label printed, when it shipped. Replayable end-to-end.
Order #2145
from claim to label print
0:51
Org-wide KPIs
Daily and monthly throughput, average fulfillment time, peak-hour heatmap, multi-shop comparisons. The view a warehouse manager opens first thing every morning.
This month
orders fulfilled · 1.2× MoM
8,420
Every fulfillment is tracked
OrderKrab records who packed each order and how long it took. View per-order action timelines and see who fulfilled what and when.
The same event data feeds into organization-wide analytics so you can see fulfillment performance over time and compare teams or periods.
- Timestamped to the second, attributed to a packer
- Filterable by action type, packer, or shop
- Item-level - scan, skip, edit, return, all logged
- Exportable to CSV for your own analysis
Every order knows who packed it.
Open any order and see exactly who claimed it, how long they spent, and which actions they took - accountability without micro-management.
- Byfulfillment@mystore.com
- Start2026-02-04 19:26:38
- Finish2026-02-04 19:27:18
- Spent39s
What you do with it
Data that pays for itself by Monday morning.
Analytics is only useful if it changes what you do. Three patterns we see customers run every week.
Spot bottlenecks before they cost you
Sort SKUs by avg pack time, drill into the slowest ones, change the picking layout or pre-bag the worst offenders. The same flow finds order types that consistently take 3× the average.
Coach the team with real numbers
Compare each packer's throughput to the team median. Identify training opportunities (often tied to specific SKUs, not the person). Track improvement week-over-week.
Plan capacity for peak season
Holiday hiring decisions backed by last-year throughput and this-year run-rate. Know exactly when peak-hour load tipped you over capacity, and staff for it before next December.