About 15,000 occupied totes
Roughly 300,000 orders a year of factory-packaged industrial, electrical, HVAC and MRO parts. Revenue comes from tote storage and per-order fees.
One platform for anything that uses a warehouse.
A 3PL, a dark store and a parcel depot differ in who owns the stock, what is promised and how fast it moves. In WarehouseAI those differences are operating profiles and add-ons on one core, so several can share a building, or even a robot grid.
Small-parts 3PL
Many clients sharing space and automation, each with their own goods, data and commitments.
What is different
Many clients, contracted tote capacity, compartment storage, ASNs, client SLAs, per-order and tote-position billing, parcel-carrier labels.
Core plus
Contract logisticsGoods-to-personRobotic handlingParcel carriersBillAI
Reference flow
- ASN
- Unload
- Decant to compartments
- Client order
- Bin-to-port pick
- Pack
- Carrier label
- Carrier pickup
- Usage billed
Acceptance profiles stop the wrong products before they reach the grid: rigid sealed packages, a standard barcode and ASN, about 8–10 kg at most, a fit for a standard tote, and no liquids, aerosols, lithium batteries or dangerous goods.
A new kind of warehouse is configured, not forked.
A new kind of warehouse business is assembled from declared extension points. Extensions never get past the core’s invariants, and add-ons run out of process, using only public commands and scoped events.
Typed attributesA hazard note on a product, or a client’s SKU class. Versioned and scoped to who can see it.
Workflow steps and branchesInspect before put-away, gift wrap, a decant variant. Only certified steps, and each must define its evidence.
RulesAllocation priority, batching, substitution, disposition. Versioned, with their own test cases.
Task and capability typesA value-added service task or a new robot-cell capability, held to the same task contract.
Configuration packagesPromoted between environments with a diff, an approval and a rollback.
Sized against two real business cases.
The platform’s reference workloads come from a 10,000 sq ft automated building in the Greater Toronto Area, worked through as two different businesses running on the same core.
About 1,000 orders a day
Eight to twelve items per order from an ambient convenience range of 3,000–4,000 SKUs, picked by three or four robotic cells.
Automation does not create demand
Commit to equipment after contracted volume, not before. WarehouseAI runs manually first, so you can prove the operation before you buy the grid.
Tell us which profile your floor needs first.
Design partners get the first operating profiles built and tested against their own floor, SKUs and order history. You start with directed manual work and climb from there.