AI agents for supply chain & logistics operations.
PO intake, invoice matching, shipment status, exception routing — built by people who have spent years inside operations like yours, not by a generalist reading your SOP for the first time.
Years in ops
spent inside supply chain operations, not studying them from the outside
Enterprise scale
order and fulfilment platforms built for large trading and logistics businesses
Always-on
systems where an outage is counted in seconds, not working days
Mid-market operators, 10–200 people.
Big enough that manual ops genuinely hurts. Small enough that a decision doesn't need four committees.
Freight forwarders
Booking requests and status enquiries arriving as email, in six formats, from customers who won't use your portal.
3PLs & fulfilment
Client POs and ASNs landing in different shapes per brand, all needing the same OMS entry.
D2C with real logistics
Supplier invoices, inbound POs and customer WISMO volume outgrowing the person who handles all three.
Trade, import & export
Document-heavy workflows where the paperwork is the process and one missed discrepancy is expensive.
Workflows we've already built here
PO intake → OMS
Scanned or emailed POs entered without retyping
Invoice ↔ PO matching
Three-way match with variances surfaced, not buried
Shipment status replies
WISMO answered from live system data, in your tone
Exception routing
Short shipments and variances routed to a named owner
Because we've already lived inside this problem.
This vertical wasn't picked off a market-size spreadsheet. Years spent building and running order management infrastructure meant watching ops teams do exactly the manual work this product removes — and watching automation attempts fail because the input was a badly scanned PDF, not a clean API call.
Document-heavy operations, high daily frequency, and a wage bill that makes the maths obvious. That combination is rarer than it sounds, and it's why the wedge starts here rather than everywhere.