across multi-location cycle counts
from scan to system commit
p95 under full warehouse load
MIT license, forever free
The WMS that Oracle charges you $140K/year for. Except it's free.
Full-stack warehouse ops.
Every module included.
Inbound & Receiving
ASN-driven or blind receiving with full LPN tracking. Scan-to-receive on any mobile device. Lot, serial, and expiry capture built in — no add-on modules.
Directed Putaway
Rules-engine putaway with velocity slotting, zone routing, and real-time capacity. Configure putaway strategies per SKU class, hazmat category, or temperature zone.
Pick Wave Management
Wave, batch, cluster, and zone picking out of the box. 4.2s average confirmation. Labor task interleaving maximizes travel efficiency across your floor.
Shipping & Manifesting
Multi-carrier rate shopping, label generation, and cartonization. Packing station workflows with scan verification. End-of-day manifesting with carrier handoff automation.
Open API & Integrations
Full REST API with webhook streaming. Native connectors for Shopify, NetSuite, SAP, and D365. EDI 856/940/945. AMR/robotics via open API — no proprietary hardware lock.
Spec Sheet
A systematic teardown. Scan the cells — the evidence accumulates row by row.
| Feature | Warehouse | SAP EWM | Oracle WMS | Manhattan |
|---|---|---|---|---|
| ASN / PO-based receiving | ✓ | ✓ | ✓ | ✓ |
| Blind receiving (no PO) | ✓ | ✓ | ◐ | ✓ |
| Multi-location receiving dock | ✓ | ✓ | ✓ | ✓ |
| License plate (LPN) tracking | ✓ | ✓ | ✓ | ✓ |
| Cross-docking support | ✓ | ✓ | ✓ | ✓ |
| Returns / RMA processing | ✓ | ◐ | ✓ | ✓ |
| Lot & serial number capture | ✓ | ✓ | ✓ | ✓ |
| Barcode / RFID scan-to-receive | ✓ | ✓ | ✓ | ✓ |
| $Annual licensing cost | $0 | $80K–$200K | $60K–$150K | $100K–$250K |
* Pricing estimates sourced from public analyst reports and vendor documentation (Gartner, G2, vendor sites). Actual costs vary by deployment size and contract.
From ops teams who switched.
“We ran a 90-day parallel test against our Oracle WMS. Warehouse matched on every KPI and beat it on API latency. We cut our WMS spend from $94K/year to zero.”
“Deployed on Kubernetes in 4 hours. Our cycle count accuracy went from 97.3% to 99.8% in the first quarter. The pick confirmation time alone justified the migration.”
“We're a DTC brand at 68,000 SKUs. Manhattan wanted $180K/year plus implementation. Warehouse was running in production before their sales team called back.”
Running in production
in under 10 minutes.
No six-month implementation. No professional services invoice. Docker, Kubernetes, or bare metal — pick your infra and run the command. The config generator sends your exact setup to your inbox.
# Docker (recommended for first deploy)curl -fsSL https://get.warehouse-wms.io | bash# Or pull the image directlydocker pull ghcr.io/warehouse-wms/warehouse:latest# Start with docker composedocker compose -f warehouse.yml up -d# ✓ API ready at http://localhost:8080# ✓ Dashboard at http://localhost:3000