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HALOWERK Warehouse Slotting Optimizer
x402
HALOWERK Warehouse Slotting Optimizer is a paid API for AI agents from handel.halowerk.com, paid per call via x402, $0.005/call, status unknown (last checked 2026-10-11).
Optimizes warehouse slot assignments by computing an optimal placement plan that minimizes travel distance given SKU pick frequencies, storage location constraints, and joint-pick affinities.
Price / call$0.005
Success—
StatusUnknown
How this service works
Takes a warehouse as a table and returns a placement. You supply the storage locations with their walking distance to the pick-and-drop point and, where they exist, their weight and volume limits; you supply the SKUs with pick frequency, weight and volume; and you may supply the joint-pick pairs.
Output
Returns a slotting plan listing which SKU should be placed in which location, along with the computed total travel distance for the plan. If current_location_id fields were supplied, also provides a before-and-after comparison showing movement changes and travel distance improvement.
Example use cases
Seasonal product re-slotting
“We're heading into peak season and our pick frequencies have changed significantly. Reassign our 150 SKUs across 200 warehouse locations — each location has a travel distance from the pack station, and some have weight and volume limits — so that our most-picked items are closest to the pack station. I'll give you the updated picks-per-week for each SKU.”
New warehouse slot assignment
“We're setting up a new fulfillment center with 500 storage locations and 800 SKUs. Each location has a measured walking distance to the dispatch desk and weight capacity. Generate an initial slotting plan that puts our fastest-moving products nearest to dispatch, respecting all weight limits.”
Joint-pick affinity optimization
“We often pick SKU-A and SKU-B together on the same order. Can you generate a slotting plan for our 60 SKUs and 80 warehouse slots that keeps frequently co-picked pairs close to each other and close to the drop point, while respecting the volume and weight limits on each rack location?”
Technical details
Endpoint
POSThttps://handel.halowerk.com/v1/slotting-plan?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to generate or refresh a warehouse slotting plan and have structured data on pick frequencies, travel distances, and storage constraints. It is purpose-built for warehouse slot assignment optimization rather than general-purpose optimization solvers, and handles weight/volume constraints and joint-pick affinities natively. Prefer it over manual ABC analysis when you need constraint-aware, distance-minimizing assignments at scale (up to 2000 SKUs and 5000 locations).
Side effects
- Duplicate SKU identifiers or location IDs within a request cause a validation error
- SKU weight or volume exceeds all available location limits, making placement infeasible
- More SKUs than available locations results in an infeasible assignment
- Missing required fields (sku, picks_per_period, location_id, travel_distance_m) return a 422 validation error
- Affinities referencing SKU IDs not present in the SKU list return an error
- Exceeding 2000 SKUs or 5000 locations triggers a request-size error
- Payment failure or insufficient USDC balance results in a 402 Payment Required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| skus | array | The SKUs to place. |
| locations | array | The storage locations available for the plan. |
| affinities | array | Pairs of SKUs that are picked together. Used to slot them near each other. |
| return_trip | boolean | Whether the picker walks back the same way. True doubles every distance. |
| abc_share_pct | array | Cumulative pick share in percent that ends class A and class B. First value must be smaller than the second. |
Tags
x402
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