Senior Software Engineer at a tech vendor with 10,001+ employees
Real User
Top 20
Jun 30, 2026
Regarding how Fluent Order Management can be improved, I would say that additional AI capabilities would facilitate easier implementation, and while the system is already simple and modular, enhancing AI features could help us write less code and generate templates for specific client requests more efficiently.
I would say that Fluent Order Management system could be improved mainly through the user interface for the console, and I would say even the React components of the store, while they are able to be modified, do not necessarily have an optimized appearance and feel, so clients need to be very specific about how they want to show their branding and their workflows within those screens. The reason I do not give it a 10 is because I believe it has some salient features that could be enabled that are just not part of the base product, so there are some fundamental use cases that are not out of the box that I believe are necessary for this solution to operate effectively.
Lead Business Analyst at a manufacturing company with 10,001+ employees
Real User
Top 20
Jun 24, 2026
Unfortunately, data regarding the positive impact on orders processed per day, time saved, or reduced downtime cannot be shared as it is internal information. I do not know of any areas Fluent Order Management can improve. As and when we are facing issues, the team is accessible to help us, and they are always available to understand our pain points and how it impacts the business. When we face issues or the platform is not working to its best potential, having the Fluent Order Management support team and the expert services is a great thing that we look to. They're very approachable, and we always have these engagements with them where they guide us or take these use cases back to the engineering team to refine modules. Fluent Order Management is pretty easy, and it is something that people can easily get onboarded onto, and there's nothing as an improvement to be shared at the moment. The reason why I'm saying 8 is because given that Fluent Order Management is an order management system that is still growing and still making improvements vastly, I would like to see how we can introduce AI into the order management system. Do we have capabilities of introducing a chatbot or AI on Fluent Order Management? I think that part of leveraging AI is a bit pending, and I'm deducting one from a technical aspect regarding some of the modules that I'm not aware of, just being skeptical on that front. Regarding Fluent Order Management's AI capabilities, I have personally not had any experience with the AI capabilities that Fluent Order Management has, and maybe that is something for me to explore. I do know that Fluent Order Management has introduced some AI capabilities from a development aspect, but because I'm not a developer, I do not have those insights.
There is a limitation in that you cannot customize the data model. If the entity order and entity fulfillment have certain attributes in the data model, you cannot add or remove something directly. You can customize the data model by adding a custom attribute, which is a workaround for this limitation. If I could point to an area of improvement, it would be that Fluent Order Management lacks a native reporting tool. An OMS without a reporting tool is quite problematic. You cannot easily determine how many orders are blocked in a particular status for about thirty minutes or one hour. It is really hard to report on Fluent Order Management. You need to customize it, perhaps by creating some scripts, and reporting is not native to Fluent Order Management. There is no tool for reports included.
Fluent Order Management enhances the efficiency of handling complex omnichannel orders. It optimizes operations, ensuring seamless integration with existing systems.Fluent Order Management is a versatile option for businesses seeking to improve order accuracy and increase speed. It supports omnichannel order orchestration, allowing enterprises to manage diverse order types from different channels without compromising on performance. By providing an agile and robust backend, it integrates...
Regarding how Fluent Order Management can be improved, I would say that additional AI capabilities would facilitate easier implementation, and while the system is already simple and modular, enhancing AI features could help us write less code and generate templates for specific client requests more efficiently.
I would say that Fluent Order Management system could be improved mainly through the user interface for the console, and I would say even the React components of the store, while they are able to be modified, do not necessarily have an optimized appearance and feel, so clients need to be very specific about how they want to show their branding and their workflows within those screens. The reason I do not give it a 10 is because I believe it has some salient features that could be enabled that are just not part of the base product, so there are some fundamental use cases that are not out of the box that I believe are necessary for this solution to operate effectively.
Unfortunately, data regarding the positive impact on orders processed per day, time saved, or reduced downtime cannot be shared as it is internal information. I do not know of any areas Fluent Order Management can improve. As and when we are facing issues, the team is accessible to help us, and they are always available to understand our pain points and how it impacts the business. When we face issues or the platform is not working to its best potential, having the Fluent Order Management support team and the expert services is a great thing that we look to. They're very approachable, and we always have these engagements with them where they guide us or take these use cases back to the engineering team to refine modules. Fluent Order Management is pretty easy, and it is something that people can easily get onboarded onto, and there's nothing as an improvement to be shared at the moment. The reason why I'm saying 8 is because given that Fluent Order Management is an order management system that is still growing and still making improvements vastly, I would like to see how we can introduce AI into the order management system. Do we have capabilities of introducing a chatbot or AI on Fluent Order Management? I think that part of leveraging AI is a bit pending, and I'm deducting one from a technical aspect regarding some of the modules that I'm not aware of, just being skeptical on that front. Regarding Fluent Order Management's AI capabilities, I have personally not had any experience with the AI capabilities that Fluent Order Management has, and maybe that is something for me to explore. I do know that Fluent Order Management has introduced some AI capabilities from a development aspect, but because I'm not a developer, I do not have those insights.
There is a limitation in that you cannot customize the data model. If the entity order and entity fulfillment have certain attributes in the data model, you cannot add or remove something directly. You can customize the data model by adding a custom attribute, which is a workaround for this limitation. If I could point to an area of improvement, it would be that Fluent Order Management lacks a native reporting tool. An OMS without a reporting tool is quite problematic. You cannot easily determine how many orders are blocked in a particular status for about thirty minutes or one hour. It is really hard to report on Fluent Order Management. You need to customize it, perhaps by creating some scripts, and reporting is not native to Fluent Order Management. There is no tool for reports included.