SIMS World Wide

Trade AI ◆ simsww.com/trade-ai/

AI applied to trade, by people who know both sides of the border

Risk detection, exception targeting, and pre-clearance intelligence, grounded in customs practice, not demos.

GLaaS and related concepts are documented as product architecture and active business development. They are described here as intended architecture and outcomes, not as production scale, adoption or completed deployments.

Through International Trade Systems, SIMS translates practitioner knowledge into platform architecture, interoperability, analytics and evidence workflows. Technology enables the operating model; it does not substitute for it.

What SIMS does here

Evidence portals

AEO/OEA administration and continuous-evidence portals for programs and their participants.

Compliance workflows

Classification, valuation, origin, tariff-treatment, screening, licensing and end-use workflows.

Custody-event records

Custody-event records, e-seal and tracking integration, anomaly alerts and evidence packaging.

Interoperability

API and semantic layers connecting customs, ports, single windows, enterprise systems and partners.

Emerging technology

Fraud detection, anomaly detection, and distributed-ledger immutability applied to the information and financial flows, so a record cannot be altered after the fact. Applied under human governance with traceable evidence: the technology amplifies judgment, it does not replace it.

Frequently asked questions

What stage is this at?

Architecture, proposals and active business development. Where a capability is in build rather than delivered, it is labeled that way.

Who is it for?

Customs authorities, ports, trusted-trader programs, importers, exporters and technology partners.

Certification, validation, refund and clearance are agency decisions and are never guaranteed. Recovery amounts and timelines depend on the facts.

Tell us which systems hold the data. We scope the interoperability assessment first.

Scope a data assessment →