Connect Hybris and SharpSpring

Connecting Hybris and SharpSpring for a company would involve developing a method to transfer relevant data between the two platforms. This could enable the automation of marketing activities based on e-commerce events, the synchronization of customer information, and improved tracking of customer interactions across both systems.

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

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Why connect Hybris and SharpSpring?

A company operating both Hybris and SharpSpring could benefit from enabling these systems to exchange data, as each platform serves different but complementary business functions. If these systems were connected, it could reduce the need for duplicate data entry, which often leads to wasted time and increased risk of human error. Without such a connection, records in the two systems could diverge over time, resulting in inconsistencies that make it harder to maintain accurate information about customers, products, and transactions. This misalignment could lead to decisions being made based on outdated or incomplete data, affecting everything from marketing campaigns to inventory management. In scenarios where Hybris and SharpSpring are used together, the kinds of data that could be exchanged include customer contact information, sales leads, order history, and marketing campaign results. Sharing this data could help ensure that both sales and marketing teams are working with the most current information, supporting more effective outreach and follow-up. However, the specific data elements that can be exchanged would depend on the capabilities each system offers through its API, and would need to be determined for each particular case.

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 Hybris and SharpSpring 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.