Order, warehouse, and shipping management for e-commerce logistics
Shippingbo operates a three-module SaaS suite (OMS, WMS, TMS) connecting e-commerce order fulfillment to warehouse operations and multi-carrier shipping. The stack is Ruby/Rails + Postgres/Redis, with growing adoption of Python and RAG, signaling emerging data and AI work. Hiring velocity is accelerating with a 4:3:2 ratio of marketing-to-sales-to-engineering roles, paired with active projects around partner ecosystem scaling and order-lifecycle optimization — indicating a shift toward channel-led growth alongside product deepening.
Shippingbo builds supply-chain software for mid-market e-commerce businesses in France and beyond. The platform unifies three operational layers: order management (OMS) across 120+ sales channels and marketplaces, warehouse execution (WMS) with real-time stock synchronization, and shipping orchestration (TMS) across multiple carriers. The company targets businesses looking to centralize fragmented order and inventory data, reduce manual warehouse tasks, and optimize fulfillment economics. Founded in 2016, Shippingbo operates as a privately held SaaS vendor with 51–200 employees based in Toulouse.
Shippingbo provides three integrated SaaS modules: an Order Management System (OMS) for centralizing orders from 120+ e-commerce channels, a Warehouse Management System (WMS) for optimizing picking and packing, and a Transport Management System (TMS) for multi-carrier shipping.
Shippingbo's core stack is Ruby on Rails, PostgreSQL, Redis, and MongoDB. Infrastructure runs on AWS and Heroku. Emerging tools include Python and RAG, indicating new data and AI capability development.
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Shippingbo's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.