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Connect Garp and InRiver

Connecting Garp and InRiver could enable a company to transfer product data between the systems, reducing the need for manual data entry and supporting more consistent information across platforms. Such an integration could also help streamline workflows by enabling automated updates and ensuring that changes in one system are reflected in the other.

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

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Why connect Garp and InRiver?

A company operating both Garp and InRiver could benefit from connecting these systems by enabling the exchange of relevant business data between them. Without such a connection, staff may need to enter the same information into both systems, which could increase the risk of errors, create duplicate records, and result in inconsistent data. Over time, records in each system could diverge, making it difficult for teams to trust the accuracy of the information they rely on for decision making. This could lead to decisions being made based on outdated or incomplete data. If a connection were established, it could support the transfer of data such as product information, inventory levels, pricing details, and digital assets, depending on what each system is designed to handle and what is needed operationally. For example, product data managed in one system could be shared with the other to keep catalogs up to date, or inventory updates could be synchronized to ensure availability information is accurate across platforms. The specific types of data that could be exchanged would depend on the capabilities of Garp and InRiver and what each system makes available through its API, which should be evaluated in each individual situation.

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 Garp and InRiver 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.

About these systems

Read more about each system and what it can be connected to

Looking to connect these systems?

Talk to us about what your setup needs. No obligation.

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