OMS ↔ WMS Integration

OMS + Odoo WMS Integration

IBM Sterling OMS manages the order lifecycle while Odoo handles warehouse execution. This integration eliminates manual synchronization between both systems, enabling automatic fulfillment status flow and real-time inventory visibility.

IBM Sterling OMSOdoo WMSJavaSpring BootREST APIs
Problem

Manual synchronization between IBM Sterling OMS and Odoo WMS required operational effort, introduced delays in inventory visibility and created risk of fulfillment errors from data mismatches between systems.

Solution

Custom Java middleware connects OMS and Odoo through REST APIs. OMS invokes middleware services which communicate with Odoo APIs. The middleware handles request validation, data transformation and error handling between both systems.

Outcome

Eliminated manual synchronization between OMS and warehouse operations. Order fulfillment status flows automatically between both systems, reducing operational effort and improving inventory visibility.

Key Challenge

Designing a middleware layer that handles data model differences between OMS and Odoo, manages API errors gracefully, and keeps both systems consistent without tight coupling.

Proof of concept and demo environment — multiple end-to-end order scenarios validated Enterprise Integration

Overview

IBM Sterling OMS manages the complete order lifecycle — capture, orchestration, fulfillment routing and customer communication. Odoo WMS manages physical warehouse operations — picking, packing, shipping and inventory. This integration connects both systems so neither operates in isolation.

Business Need

The objective was to synchronize warehouse operations and order fulfillment between both platforms automatically. OMS needed to know when warehouse tasks were complete. Odoo needed to know which orders to fulfill and in what priority.

Integration Architecture

The integration is implemented using REST APIs through a custom Java middleware. OMS invokes middleware services which communicate with Odoo APIs. The middleware manages three responsibilities: request validation, data transformation between OMS and Odoo data models, and error handling.

Data Flows

Six categories of data flow bidirectionally between OMS and Odoo: Sales Orders, Inventory Availability, Shipment Confirmation, Fulfillment Status, Warehouse Operations and Product Information.

Key Challenge Solved

The primary challenge was handling data model differences between IBM Sterling OMS and Odoo. OMS uses a specific order and fulfillment data model that does not map directly to Odoo’s warehouse operations model. The middleware handles this transformation layer, keeping both systems synchronized without requiring changes to either platform.

Status

Developed as a proof-of-concept and demo environment. Testing covered multiple end-to-end order scenarios across the full fulfillment lifecycle.

← Back to Projects Work with me