
For enterprise retailers, a typical order management implementation can require 5 to 30+ integrations before the system is fully operational. For Fluent Commerce, one of the leading distributed order management platforms, this created a familiar industry challenge: How do you reduce the time it takes to connect everything together?


From multiple deployment sprints, to on-demand delivery.
About
Fluent Commerce is a global software company focused on inventory availability data management at scale and distributed order management (DOM) for commerce.
Industry
Retail & Ecommerce
Company Size
51–200
Headquarters
Sydney, Australia
Systems Integrated
More information coming soon...
For enterprise retailers, a typical order management implementation can require 5 to 30+ integrations before the system is fully operational.
For Fluent Commerce, one of the leading distributed order management platforms, this created a familiar industry challenge: How do you reduce the time it takes to connect everything together?
Because while the Fluent OMS itself can be deployed quickly, integration work often becomes the longest and most complex part of the project.
This web of systems creates significant integration overhead during implementation. In many OMS projects, as much as half of the implementation effort can become integration work.

In reality, enterprise environments almost always require customisation, custom attributes, bespoke workflows, and unique data structures.
While flexible, this approach increases project timelines and costs, often requiring one or two development sprints per connector depending on complexity.
At the same time, Fluent Commerce needed to ensure that any integration solution could meet the performance requirements of high-volume E-commerce environments.
Many traditional iPaaS tools struggle in this context. They are designed primarily for non-transactional data flows where latency is acceptable.
Fluent Commerce needed a solution capable of handling high transaction volumes while dramatically reducing connector development time.
To solve this challenge, Fluent Commerce partnered with Versori to transform how integrations are created and deployed. Instead of building and maintaining large libraries of rigid, generic connectors, Fluent Commerce uses Versori to rapidly generate connectors tailored to each customer’s environment.
Using Versori internally, Fluent Commerce can:
The result is a model where connectors are created on demand rather than pre-built and maintained indefinitely.

System integrators continue to:
Once the data flow is defined, Fluent Commerce creates the connector using Versori, after which the SI validates and tests the implementation. This creates a continuous feedback loop between Fluent Commerce, implementation partners, and customers.
The outcome is a hybrid model where:
It was initially focused on testing whether AI-generated connectors could meet enterprise-grade requirements.
Early work centred on creating proof-of-concept integrations capable of demonstrating full end-to-end workflows in live demo environments.
Over the following 15 months, the teams worked together to ensure the Versori platform could:
This collaborative development ensured that the solution was not only technically viable but ready for production deployments.

By reducing the time required to build integrations, Fluent Commerce can help customers achieve faster time-to-value from OMS implementations.
This has several downstream benefits:
Fluent Commerce can confidently support a broader range of customer ecosystems, removing integration barriers during the sales process.
The ability to create integrations quickly also opens the door to entirely new categories of data connectivity.
Traditionally, OMS integrations focus on operational systems. However, Fluent Commerce is now exploring opportunites to connect order management data with other systems across the business, for example...
Some customers are connecting inventory data to advertising platforms to optimise ad spend. Campaigns can automatically prioritise products that are:
This prevents wasted advertising spend on unavailable products while improving campaign performance.
Integrating demand forecasting data with the OMS enables retailers to improve order sourcing decisions. For example, if an item is forecast to sell out in a particular store due to high foot traffic, the system can automatically fulfil online orders from another location instead.
Order and returns data can also inform product content improvements. Retailers may prioritise updating product descriptions or imagery for items with high return rates to improve conversion and reduce operational costs.
These examples illustrate a broader shift: Order management data can become a strategic asset across the business when it is easily accessible through integrations.
For Fluent Commerce, the partnership with Versori is about more than speeding up integrations. It is about enabling a future where retailers can connect systems freely and unlock new ways to utilise their data. By combining distributed order management with AI-generated integrations, Fluent Commerce can help retailers launch faster, integrate more systems, and unlock new value from their commerce data.