Openship vs Pickgro

Openship is an open-source order management system that connects sales channels with fulfillment locations. It can split order line items and route them according to inventory, shipping costs, and delivery times. Product matching and inventory matching support fulfillment across channels, while configurable shops, channel links, and routing rules let users set up workflows for their operations. Examples of connectable shops include Shopify, WooCommerce, eBay, and Amazon. Described use cases connect marketplace sellers, third-party logistics providers, suppliers, and storefronts for fulfillment. Openship is self-hosted, with source code and documentation linked from its product page; hosted plans add managed infrastructure and automatic updates on Starter. Its free self-deployed plan includes unlimited shops, channels, orders, and users, with community support. Hosted Starter costs $99 a month and allows up to 1,000 orders and three users monthly. Professional costs $249 a month, with limits of 10,000 orders and 10 users. Enterprise costs $499 a month and includes unlimited orders, users, shops, and channels.

Pickgro is a returns and order management service for businesses managing orders and product catalogues. It includes returns management, customer notifications and API access, and runs on Android, iOS, web and Windows. Its free plan costs nothing and allows up to 100 orders per month and 999 products in the catalogue. The Business plan costs PLN 149 a month, plus PLN 0.14 per processed order. Order usage is billed in arrears. Business has no limit on orders, products, sales channels or users, and includes a 14-day free trial with no payment card required. Pickgro uses a freemium pricing model, so the free plan has explicit monthly order and catalogue limits while the paid plan removes the listed limits. The company is headquartered in Warsaw, Poland. The service’s listed capabilities are focused on returns, notifications and API access; the available facts do not specify additional workflow details.