Rank by velocity
Every SKU is scored on pick frequency, order affinity, and seasonality, then bucketed into A / B / C velocity classes that decide how close to the dock it belongs.
Live wave optimization
Stop walking the warehouse. Start picking it.
StowPilot re-slots your SKUs by velocity, plans each pick wave, and routes pickers on the shortest path — so the same crew clears more orders without walking an extra mile per shift.
- 88 ft avg walk / pick
- Every move explained
- Runs on your WMS data
6 aisles · 5 picks
Walk / pick
88ft
−26 ft
12 wk114 → 88 ft
Class A pick
Class B pick
Picker
0
Orders in the wave
0
Pick rate (lines/hr)
+9%
0ft
Avg walk / pick
−26 ft
0%
Slot utilization
Why slotting decides the shift
In a pick operation, walking is the job. Reduce the walk, everything else follows.
More than half of a picker's shift is spent traveling — not picking. StowPilot attacks the four things that make that walk longer than it has to be.
Fast movers, far bins
High
High-velocity SKUs stranded in back-wall reserve force the longest, most-repeated trips of the day.
Un-batched waves
High
Orders released one by one send pickers criss-crossing the same aisles instead of clearing them once.
Aisle congestion
Medium
Too many pickers funneled into one hot zone means waiting, backtracking, and re-routing on the fly.
Dead slot space
Medium
Half-empty golden-zone bins next to overflowing ones waste the shelf real estate closest to the dock.
Where a picker's hour really goes
Cut the travel share and you add pick capacity without adding headcount. Here's a typical shift before StowPilot re-slots the building.
57%
walking
- Travel between picks 57%
- Picking & scanning 28%
- Pack & stage 11%
- Wait & search 4%
Slot it. Wave it. Route it.
From velocity signal to the exact path a picker walks.
StowPilot closes the loop from demand data to the floor — re-slotting the building, batching the wave, and sequencing every stop so the walk is as short as physics allows.
Re-slot the building
Fast movers get pulled into golden-zone forward pick, each move ranked by the walk it saves and shipped as an explainable, one-click approval for your ops lead.
Route the wave
Orders are batched into a wave and each picker gets a serpentine route that visits every stop once — the shortest path across the aisles they're assigned.
Inside the product
The control room and the move, side by side.
BuildspaceLabs built the MVP front end: a Warehouse Control dashboard for the whole facility and a single re-slotting recommendation the ops lead approves or rejects.
Warehouse Control
Run the whole floor from one board.
Live wave, pick rate, walk-per-pick and slot utilization sit above a falling walk-distance trend, a ranked re-slotting table, and zone-by-zone congestion.
- 12-week walk-distance trend falling from 114 ft to 88 ft
- Re-slotting table ranked by walk saved, with A/B/C velocity pills
- Live zone congestion and labor balance across aisles A–E
Re-slot recommendation
Every move, shown on the map before it happens.
A single SKU's before/after bins are drawn on a warehouse aisle grid, with the walk saved, pick-frequency trend, and the AI rationale — then a one-tap approve or reject.
- Current vs. suggested bin highlighted on an aisle map
- Projected 71 ft saved per pick and 1.9 hr/day back
- A 97%-confidence rationale with an approve / reject action
What's in the box
Built for the pick operation, end to end.
Slotting, wave planning and pick routing consolidated into one control surface — nothing left to a whiteboard or a tribal-knowledge map.
Warehouse Control board
Live wave, pick rate, walk-per-pick and slot utilization over a falling walk-distance trend.
Velocity re-slotting
A/B/C classes and ranked move suggestions that pull fast movers into golden-zone forward pick.
Shortest-path routing
Serpentine pick routes that visit every stop in a wave once, sequenced to minimize total travel.
Wave planning
Batch orders into balanced waves by zone and cart, so pickers clear an aisle instead of revisiting it.
Zone congestion map
Live pick density and labor balance by aisle zone, flagging the hot spots before they stall a wave.
Explainable moves
Every recommendation ships with its walk savings, a confidence score and a rationale you can audit.
Physical, measurable, explained
A slotting move your ops lead will actually approve.
Warehouse teams have been burned by black-box slotting. StowPilot shows the feet saved, the bin it picked and why — so the floor trusts the move before the reach truck rolls.
- Every move quantified in feet saved per pick, not a vague score.
- Before/after bins drawn on your real aisle map.
- One-tap approve / reject, so nothing moves without a human.
Move · SKU-40763 → A02-06
97%
Velocity jumped to A
+41%
Current-zone distance
108 ft
Golden-zone bin open
A02-06
Move cost
~8 min
Under the hood
Modern data stack, production-grade floor UI.
Delivered as a production-quality MVP in a nine-week engagement.
Next.js
React
TypeScript
Python · OR-Tools
FastAPI
PostgreSQL
dbt + Snowflake
Cut the walk out of your warehouse.
We build AI-native products like StowPilot. Tell us how your DC is laid out and where the walk piles up, and we'll show you what velocity re-slotting and shortest-path routing look like on your floor.