Connect InRiver and Faslet

Connecting InRiver and Faslet for a company could enable the transfer of product information maintained in InRiver to Faslet, supporting more consistent and accurate product data across platforms. This could reduce manual entry, support faster updates, and help ensure that product details remain synchronized between the two systems.

You can build this integration on the System2System platform. We design the connection between InRiver and Faslet around the way you work — not as an off-the-shelf connector, but to fit your systems.

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Why connect InRiver and Faslet?

A company that operates both InRiver and Faslet could benefit from connecting these systems in order to ensure that product information and related data remain consistent and up to date across both platforms. Without such a connection, teams might need to manually re-enter data into each system, increasing the risk of errors and inconsistencies. This manual process can lead to situations where product details in one system do not match those in the other, which could result in confusion, inefficiencies, and potentially poor decision-making due to reliance on outdated or incomplete information. If a connection were established, it could enable the automatic exchange of certain types of data between InRiver and Faslet. For example, product descriptions, specifications, images, and availability details could be synchronized, reducing the need for duplicate data entry and minimizing the chances of records drifting apart over time. This would help ensure that both systems reflect the most current and accurate product information, supporting better collaboration between teams and more reliable operations. The specific data that can be exchanged between InRiver and Faslet depends on the capabilities and limitations of each system’s API, and what is technically feasible in each particular scenario.

How System2System builds an integration

Connectors

We connect to each system through the interface it offers — an API, a database, a file exchange or a webhook — and handle authentication, rate limits and retries.

Mapping

Fields rarely line up one to one. We map and transform the data so both systems receive it in the shape they expect.

Workflow

We define what triggers an exchange, in which direction data flows and which system takes precedence when the two disagree.

Monitoring

Every exchange is logged. Failures are flagged and can be replayed, so nothing disappears without anyone noticing.

What can actually be exchanged?

That depends on what InRiver and Faslet make available through their APIs, on the licences and modules in use, and on the version each system runs. Which records are synchronised, in which direction and how often, is something we determine together before any work starts.

We are happy to look at your specific situation and tell you what is feasible — including when the answer is that it is not.