Shipping Software Company Ordoro Launches Public API

Ordoro, a shipping and inventory management software company, has announced the launch of the Ordoro API, which allows developers to integrate the Ordoro Platform with third-party applications. The Ordoro API makes it possible for developers to build applications that simplify e-commerce back-office operations.

Image credit: Ordoro

Ordoro is an Integration platform-as-a-service (iPaaS) provider for small to medium-sized e-commerce retailers. The Ordoro platform makes it possible for online retailers to quickly and easily connect shopping carts, marketplaces and shipping accounts so that they can all be managed in one place. Ordoro handles the processes that occur after an online shopper clicks the checkout button, such as printing shipping labels, printing packing slips, managing inventory and drop shipping products.

At the time of this writing, Ordoro featured a variety of e-commerce-specific integrations, including Amazon, Canada Post, eBay, Etsy, FedEx, Magento, QuickBooks, Shopify, UPS and the U.S. Postal Service. The Ordoro API provides programmatic access to Ordoro shipping and inventory management capabilities so that customers can build custom integrations to suit their specific needs.

"Although most back-office tasks of every online retailer are the same, every e-commerce merchant's business is unique," Ordoro CEO Jagath Narayan said in a press release. "Making our APIs public enables merchants to extend the functionality of Ordoro to meet their exact needs."

The Ordoro API is designed to be particularly useful for multichannel retailers that can use it to build custom online stores, applications that combine sales channels, and applications that allow coordination between suppliers and third-party logistics warehouses.

For more information about the Ordoro platform, visit Developers interested in using the Ordoro API can find comprehensive Documentation at

Be sure to read the next Shipping article: Shippo Adds Tracking API to Expose Shipment Tracking Data