AI Warehouse Management
A warehouse that sees, counts, and self-corrects
AI-native WMS that reconciles every inbound pallet by camera, slots stock where demand wants it, and catches the wrong item at pack — not at the customer. On-prem, API-only, and priced for SMEs.
Why the warehouse keeps bleeding margin
Most SME warehouses don't have a software problem — they have a visibility problem that compounds every shift.
Manual counts, wrong bins
Receiving is keyed by hand and put-away lands in the nearest open slot, not the right one. Within weeks the system says one thing and the shelf says another — so safety stock balloons and pickers chase ghosts.
Slow pick/pack, no live visibility
Pickers backtrack the same aisles because routes are fixed, not optimized, and no one sees order status until it's late. Mis-ships surface as a customer complaint and a return label, days after the cost was locked in.
Guesswork labor and returns chaos
Shifts are staffed off last week's gut feel, so you over-pay on slow days and miss SLAs on peaks. Returns sit unbooked because no one has time — and enterprise WMS suites that fix this cost more than the margin they'd save.
The BytePlus stack that powers it
Vision, optimization, and anomaly detection — the same models proven inside ByteDance logistics, deployed on-prem behind your firewall.
How it works
We wrap your existing WMS — no rip-and-replace, no new floor system to learn.
Auto-reconcile inbound
Dock cameras identify what arrived, count it, and match it to the PO. Discrepancies are flagged before put-away, so the system and the shelf agree from the first touch.
Optimize slotting & pick paths
Live order velocity re-slots fast movers near pack and sequences each wave into the shortest route — pickers walk less and pack more, with no map memorized.
Predict labor per shift
Inbound and order forecasts convert into pick-hours by zone, so supervisors staff each shift to real demand instead of last week's average.
Flag mis-picks before they ship
A vision check at pack confirms the right item, quantity, and destination. Wrong picks stop at the bench — caught here cost cents, caught by the customer cost a return.
On-prem, API, permissioned
Everything runs behind your firewall, connects to your native WMS by API, and enforces view/edit/delete per role — nothing native is migrated or replaced.
What changes after
Not a faster scan gun — a warehouse that keeps its own books straight.
+0%
Lines picked per hour
-0%
Mis-pick rate
0.0%
Inventory accuracy
How we roll it out
Five staged steps, live in weeks — risk contained to one zone before you scale.
Assess
Map flows, bins, and your real count accuracy — and find the lanes losing the most margin.
Connect
Link your WMS/ERP and dock cameras by API, on-prem. Native systems untouched.
Clean
Reconcile master data and bin locations so the AI starts from a truthful map.
Pilot
Run one zone or SKU class live and prove accuracy and throughput on real orders.
Scale
Roll out across the warehouse with roles, permissions, and labor forecasting on.
The ROI case
Fewer mis-ships, leaner labor, and stock you can finally trust on the screen.
< 0 mo
To payback
0.0×
Return on spend
-0%
Labor cost per order
Proven inside ByteDance logistics at scale before it ever shipped to you — and the compliance and security are handled by the service we deliver on BytePlus infrastructure.
The service we deliver runs on BytePlus infrastructure, certified to:
- ISO 9001
- ISO 20000
- ISO 22301
- ISO 27001
- ISO 27017
- ISO 27018
- ISO 27701
- MTCS Level 3
- CSA STAR
- SOC 1
- SOC 2
- SOC 3
- PCI DSS
Ready to see your warehouse run itself?
Keep your WMS. Add the layer that makes every count true and every pick right.