
Shiplab operates as a purpose-built ETL (Extract, Transform, Load) data infrastructure layer specifically engineered for complex parcel, regional, and last-mile carrier billing data. Rather than functioning as a dashboard, audit tool, or optimization platform, Shiplab focuses exclusively on the foundational challenge of automatically collecting carrier-native cost and shipment data from dozens of carriers across portals, APIs, sFTP, email delivery, and other carrier-specific methods. The platform then delivers that data into the systems teams already rely on, including via API, S3, MCP, managed data warehouses, and BI tools like Power BI and Tableau.
The platform supports an extensive and growing library of 40+ carrier connectors spanning major carriers like UPS, FedEx, USPS, and DHL eCommerce, as well as regional and last-mile providers such as OnTrac, Veho, UniUni, ShipX, AxleHire (Jitsu), and CDL Last Mile. It also connects to shipping platforms and aggregators including Shippo, ShipBob, Unishippers, WorldWide Express, CIRRO E-Commerce, and Flavorcloud. Shiplab is vendor-neutral and solution-agnostic by design; it does not lock customers into proprietary formats or dictate how data is used, ensuring source-level carrier data remains portable and available for current and future projects.
Built by a team with 20+ years of experience founding, architecting, and supporting successful parcel software products across optimization, audit, billing, and logistics technology, Shiplab serves a wide range of clients. Enterprise shippers use it to feed finance, procurement, and analytics teams. 3PLs and fulfillment providers use it to power client billing, reconciliation, and operational reporting across multi-client carrier accounts. Ship-tech solution providers, including parcel auditors, spend management platforms, freight pay companies, and analytics tools, use Shiplab as their foundational carrier data collection layer so their engineering teams can focus on product development rather than maintaining carrier integrations.
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