Every hour your team spends on manual shipment tracking is an hour your margins shrink

The highest-value targets are processes that are high-volume, rule-based, and currently handled manually. Shipment tracking is the most common starting point, manually logging into carrier portals to check status and then relaying updates to customers is the definition of automatable work. Carrier rate shopping is another: pulling live rates from multiple carriers, comparing against your contracted rates, and selecting the optimal carrier by cost or transit time can happen automatically at the point of order. Invoice reconciliation is a significant one, matching carrier invoices against booked rates, flagged discrepancies, and generating dispute documentation catches billing errors that otherwise get paid. Delivery exception handling (damaged goods, missed delivery windows, address failures) can be automatically flagged, categorized, and routed to the right team member rather than landing in a generic inbox. Proof of delivery collection and customs documentation generation are also strong automation candidates for cross-border operations.

We've built carrier integrations across FedEx, UPS, DHL, and Shippo, plus regional carriers, and we work with multi-carrier shipping APIs like EasyPost and ShipBob. On the warehouse side, we integrate with WMS platforms including Manhattan Associates, Blue Yonder, and Fishbowl, TMS platforms, ERP systems like SAP and NetSuite, and e-commerce platforms including Shopify, Magento, and WooCommerce. If a system has an API or produces data exports, we can connect to it. The integration map is defined in the first two weeks of the project and agreed before development starts. We can work with proprietary or legacy systems too, the approach is different but the outcome is the same.

The core mechanic is a polling or webhook integration with your carrier APIs. When a shipment status changes, picked up, in transit, out for delivery, delivered, exception, the carrier pushes or we pull that event, map it to your internal status taxonomy, and trigger the appropriate downstream action. That might be a customer notification (email or SMS with tracking link), an internal status update in your OMS or TMS, a flag for the exceptions team, or a proof-of-delivery record written to your system. The customer never needs to check the carrier portal, status updates reach them proactively. For your team, the exception queue contains only shipments that actually need human attention, not everything in transit. Most operations see a significant reduction in inbound 'where is my order' contacts within the first month after launch.

Scope determines both. A focused automation, for example, multi-carrier rate shopping connected to your current OMS, or automated shipment status notifications, typically costs less and ships in 6 to 8 weeks. A broader project covering carrier integration, warehouse triggers, proof of delivery, invoice reconciliation, and exception routing is a 12 to 16 week build. We scope everything at a fixed cost before development starts. The scoping call takes 60 to 90 minutes, after which we produce a proposal with a defined scope, fixed price, and delivery timeline. If you've already tried to build something that stalled, we can also audit what exists and advise on whether it's faster to extend or rebuild.

Yes. We sign NDAs before any discovery conversation where sensitive operational or carrier pricing data is shared. Most clients in logistics and supply chain operate in competitive markets, so confidentiality is standard practice for us, not an exception. NDA requests are handled within one business day.

We work with freight brokers, 3PLs, e-commerce retailers with in-house fulfillment, manufacturers with complex distribution networks, and food and beverage distributors with temperature-controlled routing requirements. Clients are typically based in the US, UK, Europe, Canada, and Australia, and are processing enough shipment volume that manual coordination has become a measurable cost. Our AI OCR work for a US multi-site fuel retailer processed over 20,000 transactions in a single day during real-world testing.