Connected labor intelligence

Your systems manage the work. LaborAI plans the labor.

Connect LaborAI to the systems you already use and turn real operational data into a precise, day-ahead labor plan.

Implementation in as little as 5 days Built around your operation
WMSWarehouse management
Your dataAPI · SFTP
Labor planning engine
Integration ecosystem

Built to connect with the systems you already run.

LaborAI Enterprise sits above your existing technology stack, turning operational data into a forward-looking labor plan without forcing your team to replace the systems that already run the operation.

LaborAI can integrate with leading platforms including Softeon, NetSuite, Manhattan, Made4net and Blue Yonder. Our flexible middleware supports both API-driven and direct-database workflows, allowing operational data to move securely into LaborAI Enterprise for automated labor planning, forecasting and performance visibility.

The architecture is system-agnostic. LaborAI can connect with virtually any other commercial WMS, as well as proprietary or in-house warehouse management systems, using the integration method that best fits the customer’s environment.

Live Softeon deployment Commercial and in-house WMS support

Don’t see your system?

Show us how your operation runs. We’ll map the right path to a connected labor plan.


Enterprise integration architecture

LaborAI WMS Data Integration Synopsis

A flexible, system-agnostic foundation for modern and legacy warehouse environments.

LaborAI Enterprise utilizes bespoke middleware architecture to integrate with existing Warehouse Management Systems (WMS), supporting both direct-database ETL and API-driven workflows.

Raw transactional data can be directly extracted from a source database on a set or custom schedule, where it is then processed to aggregate specific operational metrics.

To support modern, decoupled environments, the middleware also provides on-demand data synchronization, paginated endpoints serving normalized dimensional data such as items, inventory and shipments, and a built-in machine learning module designed to dynamically calculate and label inventory stockout risks.

SOURCE SYSTEMS WMS · Oracle · APIs

Transactional warehouse data

LABORAI MIDDLEWARE

ETL orchestration

DATA LAYER

Staging · aggregation · normalized dimensions

INTELLIGENCE

Dynamic stockout risk classification via machine learning

Direct-database ETL RESTful API integration On-demand synchronization Paginated endpoints
From operational data to daily action

One connected view of the work and the labor it requires.

LaborAI adds a planning layer to your existing technology. No rip-and-replace. No parallel operating system.

Bring in the real work

Securely read the operational variables that actually drive labor.

Orders & inventory SKU attributes Labor data Expected vs. actual

Translate work into hours

Evaluate work mix, operating conditions and expected productivity by function.

Act before the shift

See required hours, skill needs and risks early enough to adjust staffing.

1,184 planned hours 98.4% aligned
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