Freight margins are thin, and one delay ripples through the whole chain. We build AI systems that give freight operators, 3PLs, and supply chain teams live shipment visibility, better forecasts, and less manual tracking.
Shipments go quiet between carriers, customs, and last-mile partners. Customers call asking where their order is, and the team has no clean answer.
Fixed route plans ignore traffic, weather, fuel prices, and delivery windows. Every vehicle running an outdated route burns fuel and time it didn't need to.
Seasonal spikes and shifting client orders strain warehouse space and carrier capacity, especially when forecasting still runs on spreadsheets and gut feel.
BOLs, AWBs, customs declarations, and proof-of-delivery documents move through email and manual queues. Each handoff adds a delay that shows up downstream.
An assistant trained on your SOPs, carrier data, and live shipment status. It answers routine "where is my order" questions on its own, so your team handles the exceptions.
Routing that adjusts to traffic, fuel prices, weather, and delivery windows as conditions change, not just at the start of the day.
Forecasting models built on your order history, market signals, and seasonal patterns, giving procurement and warehouse teams a number they can plan around.
Automatic extraction from BOLs, AWBs, invoices, and customs forms. Data flows into your TMS and ERP without someone retyping it.
Slotting, pick-path planning, and inventory prediction that improve warehouse throughput without ripping out your existing warehouse management system.
Supply chain risk signals like port congestion, carrier capacity, and geopolitical events, watched by AI and flagged before they hit your shipments.
We map your freight flows, carrier mix, and data sources to find where AI would pay off fastest for your operation.
We plan the connections to your TMS, WMS, and carrier portals, so data flows reliably before any model gets built on top of it.
We build against your real operational data and test it against past scenarios and live edge cases before it goes anywhere near production.
We deploy with monitoring in place and clear escalation paths. Once a pilot proves out, it extends to more lanes, regions, and modes.
Yes - the AI freight support assistant is trained on your SOPs, carrier data and live shipment status, so it handles routine status questions on its own and routes only genuine exceptions to your team.
Most route plans are fixed at the start of the day. Ours adjusts to traffic, fuel prices, weather and delivery windows as conditions change during the day, not just once each morning.
Yes - document automation extracts data from BOLs, AWBs, invoices and customs forms and flows it straight into your TMS and ERP, so nobody is retyping it manually.
No - warehouse automation and routing improvements are built to work with your existing TMS and WMS, not to rip them out. Integration design happens before any model is built on top.
Supply chain risk signals - port congestion, carrier capacity, geopolitical events - are watched continuously and flagged before they hit your shipments, instead of you finding out when a delivery is already late.
We start with an operations review to find where AI pays off fastest, then build and test against your real data before going near production. Once a pilot proves out on one lane or region, it extends step by step rather than a single big-bang rollout.
Move faster
Tell us where your team loses the most time or money. We'll help you shape a clear first AI project, show you what it looks like in practice, and give you a realistic timeline.
