Overview 

DBSync’s ShipStation Integration platform synchronizes ShipStation data with popular Accounting, ERP and CRM applications, providing seamless integration of your E-Commerce operations.

Prerequisites

To establish a connection to ShipStation via DBSync ShipSation connector, a user must:

Connector Configurations

ShipStation connector instance represents a single ShipStation account, including login credentials. If a user wishes to connect to multiple instances of either sandbox/production then, s/he must create a separate connection for each and configure the URL accordingly. The table below represents the parameters required for opening the connection to the ShipStation user instance.


Property

Description

Username

The username to login to ShipStation.

Password

The password to login to ShipStation.

Benefits

Features

Frequently Asked Questions

Q: What types of ShipStation data can I synchronize with other applications?

Ans: Orders, Customers, and Products can be synchronized.

Q: Since my orders get updated quickly, I’d like to synchronize it with my back-end applications multiple times a day. How frequently can I do it?

Ans: DBSync’s integration includes a scheduler, using which any process can be scheduled to run at predefined intervals. You can perform synchronizations as frequently as 5 minutes.

Q: Is DBsync’s ShipStation integration scalable? If my order volumes grow, can the integration handle it?

Ans: Yes, DBSync can handle large quantities of order data. If you prefer a dedicated instance running only for your integration you can always have our on-premise version installed on your own server. We support both Windows and Linux based installers.

Q: What applications can I integrate ShipStation with?

Ans: ShipStation can be integrated with popular Accounting Systems (Quickbooks Desktop, QuickBooks Online, NetSuite, Microsoft Dynamics GP, NAV, Sage, Intacct, etc.), CRM applications (Salesforce, Microsoft Dynamics CRM, Oracles Sales Cloud, PocketAdvantage, ChabadOne, ServiceMax, etc.), and Databases (SQL Server, DB2, Oracle, PostgreSQL, MySQL, Amazon Redshift, Amazon S3, etc).