Warehouse Slotting Optimization
Warehouse slotting — deciding which SKU goes in which bin — usually gets set once when the facility opens or during a rare annual review, based on whatever seemed reasonable at the time. Sales mix shifts constantly: a SKU that was a top mover last year is now marginal, and a product launched six months ago outsells everything around it while sitting in a bin two aisles from the pack station. Pickers walk the same wasted distance every shift for it, and nobody notices the cumulative cost because it shows up as slightly-slower-than-it-should-be pick times rather than one obvious failure. Re-slotting by hand across thousands of SKUs is a multi-day project nobody schedules until throughput visibly suffers.
STARTING PRICE
From €799
Complex tier · Multi-system orchestration, custom logic, and higher-volume or higher-risk processing.
Get a quote →Saves roughly 6-9 hrs/week for a warehouse operations team, plus ongoing pick-time reduction.
How the automation works
We analyze actual pick frequency, order co-occurrence and SKU velocity from warehouse transaction data to generate a slotting plan that puts fast-moving and frequently co-ordered items in the most accessible locations, and recommend specific bin-to-bin moves rather than a full re-layout. Co-occurrence matters as much as velocity — two SKUs that are almost always picked together on the same order benefit from being near each other even if neither is individually top-velocity. The plan is re-run on a recurring schedule so slotting tracks actual sales drift instead of freezing at whatever made sense on move-in day, and each recommended move comes with an estimated travel-distance saving so the warehouse manager can prioritize which moves are worth the labor to execute first.
Process flow
- 01
Pick and order data syncs trigger
Historical pick transactions, order line co-occurrence and current bin assignments sync automatically from the WMS.
- 02
Rank SKU velocity ai
SKUs are ranked by pick frequency and unit volume over a rolling window, so ranking reflects current demand rather than a stale annual snapshot.
- 03
Map order co-occurrence ai
SKUs frequently picked together on the same order are identified so the slotting plan can place them near each other, reducing multi-stop picks.
- 04
Generate slotting plan ai
A bin-to-bin move plan is generated that reassigns high-velocity and high-affinity SKUs to the most accessible locations relative to pack and ship.
- 05
Estimate travel savings ai
Each recommended move is scored by estimated reduction in picker travel distance, so moves get prioritized by payoff against the labor cost of executing them.
- 06
Publish move list output
A prioritized move list is published to the warehouse team, and the plan re-runs on a recurring schedule as sales mix and velocity shift.
Inputs
- Historical pick transaction data
- Current bin and location assignments
- Order line co-occurrence history
- Warehouse layout and travel distances
Outputs
- Prioritized bin-to-bin move list
- Velocity and affinity ranking per SKU
- Estimated travel-distance savings per move
- Recurring re-slotting recommendation on a schedule
Works with
Prefer a fully custom build instead of an off-the-shelf integration? We scope both options during your free consultation — most jobs like this one work fine on standard connectors, but higher-volume or non-standard systems sometimes need bespoke API work, reflected in the complex tier.
Where this goes wrong if you get it wrong
- Slotting purely by individual SKU velocity while ignoring order co-occurrence misses moves that would actually save more time — two mid-velocity SKUs almost always ordered together benefit from proximity more than a high-velocity SKU that's usually ordered alone.
- Re-slotting too aggressively or too often churns the warehouse without letting pickers build muscle memory for locations — recommendations need a minimum improvement threshold before a move is worth the disruption of relocating physical stock.
- A slotting plan that ignores physical constraints — item weight, size, hazmat separation rules, cold-chain zones — will recommend moves that look efficient on paper but are impossible or unsafe to execute on the floor.
- Seasonal SKUs slotted for their peak-season velocity sit in prime locations wasting the best real estate for most of the year — the plan needs seasonality-aware logic, not a single velocity number averaged across the whole calendar.
Frequently asked questions
How often does the slotting plan re-run?
Typically monthly or quarterly depending on how fast the SKU mix shifts, so slotting tracks real velocity changes rather than staying fixed for a year at a time.
Does it account for items that can't be moved anywhere, like hazmat or oversized SKUs?
Yes — physical constraints and zone restrictions are factored in so recommendations stay within what's actually safe and feasible to execute.
How does it handle seasonal products?
Seasonal SKUs are flagged separately so their peak-season velocity doesn't permanently claim prime slotting for the rest of the year.
What's the actual output — a full re-layout or specific moves?
Specific prioritized bin-to-bin moves ranked by estimated travel-time savings, so the team can execute the highest-payoff moves first instead of relaying the whole warehouse at once.