AI for logistics that clears the exceptions

Logistics is an exception-handling business. The happy path is automated; the cost lives in the deviations — a delayed container, a customs hold, a mismatched PO and invoice. An agent that watches your TMS and EDI feeds, detects the exception early, drafts the customer notification and proposes the recovery action turns a reactive ops desk into a proactive one.

Documents are the other tax. Bills of lading, commercial invoices, packing lists and customs paperwork arrive as PDFs and scans that someone re-keys into the WMS. A freight-document agent extracts and validates that data, reconciles it against the booking, and flags discrepancies before they become demurrage charges or clearance delays.

Above the day-to-day, planners want better forecasts. We build demand and ETA models that fold in seasonality, lead-time variability and live disruption signals, then surface them inside the planner’s workflow rather than a separate dashboard nobody opens. Everything connects to the systems of record — TMS, WMS, EDI, carrier APIs — because in logistics an insight that isn’t in the operational flow is an insight that never gets used.