The intelligent operating system of the warehouse.

Inventory drift and manual exception handling are the hidden drivers of stockouts. CrateOS is execution infrastructure for warehouse operations.

execution infrastructure

Inventory issues and manual exception handling are the hidden drivers of stockouts.

managed automation

CrateOS manages the work your warehouse systems can't.

Exception triage that keeps the floor moving

Priority exceptions are resolved before they slow receiving, picking, or shipping.

short pickresolved [4m]

asn mismatchresolved [2m]

carrier holdresolved [6m]

label print failureresolved [3m]

cycle count variancein progress

dock exceptionin progress

Automation across inbound to outbound

Exception workflows execute across receiving, putaway, replenishment, and shipping.

Continuous system sync and control

Warehouse systems stay aligned with live monitoring, guardrails, and reconciliation loops.

WMSMonitored

ERPMonitored

TMSMonitored

OMSMonitored

EDI feedsMonitored

Carrier APIsMonitored

Scanner fleetMonitored

Planning systemMonitored

BIMonitored

leadership

Clarity for operations leadership

Real-time insight into systems, recurring risk, response quality, and where the operating model still depends on heroics.

High-risk exceptions

down from 39 after agent-led playbooks were activated

Inventory mismatches

currently open across receiving, storage, and outbound flows

Median response time

for priority exceptions across receiving and outbound

Connected systems

feeding live operational context into the CrateOS runtime

meeting you where you are

Not sure where to start? Tell us where your business is headed. We'll figure out the operating layer together.

Starting from scratch?

You have a warehouse team, disconnected systems, and no execution layer between them.

primary friction

Supervisors are manually stitching together Slack, email, and WMS exports

crateos outcome

CrateOS builds the first unified operating layer across your systems

next step

Start with one workflow and one owner, then scale once response is predictable.