Do you replace our TMS?

No. CargoWise, Magaya, Descartes — whatever you run stays. We build the intake and exception layer around it.

We mostly do air freight forwarding. Same approach?

Same shape, different documents and tariffs. The quoting and document extraction patterns translate cleanly across air, sea and cross-border road.

Can this help with customs declaration accuracy?

Yes — flagging mismatches between commercial invoice and declaration, surfacing missing supporting documents before submission. The declarant stays the responsible party.

What about last-mile operators specifically?

Different shape of problem. Route planning and customer comms matter more than document extraction. We adjust the engagement to fit.

Data security across multiple shipper clients?

Yes — we keep client data segregated and Singapore-hosted, and avoid sending shipment details to public LLMs.

AI for Logistics and freight forwarding in Singapore

How is AI useful for logistics in Singapore?: For Singapore logistics and freight forwarding firms, AI's real wins today are quote turnaround on RFQs, document extraction from bills of lading and customs paperwork, and exception management — knowing which shipments need attention before the client emails to ask.

What we see most

The three friction points showing up in logistics this year.

RFQ turnaround is the bottleneck on growth

Clients want a quote in hours, not days. Pricing them well needs rate sheets, tariffs and historical context the salesperson doesn't have at their fingertips.

Paperwork volume is enormous and mostly structured

Bills of lading, commercial invoices, packing lists, permits — high volume, repetitive structure, still manually keyed into the TMS. Errors here cost real money downstream.

Exception management is reactive

Customer service finds out a shipment is stuck when the client emails. The data to predict it was already in the system; nobody was watching for it.

Where AI actually helps today

Three honest wins. One thing we'd still wait on.

Quote co-pilot

Salesperson pastes the RFQ; the system drafts a quote against your rate sheet, tariffs and historical equivalents. The salesperson sanity-checks and sends, same day instead of next.

Document extraction into the TMS

Bills of lading, invoices and permits parsed straight into the system with confidence scores. Operations review the flagged ones; the clean ones flow through.

Exception watch

Continuous read of shipment status, ETA drift and document gaps. Operations see the shipments that need attention this morning instead of finding out from the client this afternoon.

Not yet

End-to-end autonomous shipment booking

Carriers, ports and regulatory edges still require human judgement and relationships. AI compresses the work around the booking; it doesn't replace the booker.

A typical engagement