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From locations to intelligence: rethinking Silq Network
Network started as a relatively passive directory of organisations and locations. I redesigned it as a connected layer of operational intelligence, surfacing relationships between organisations, shared facilities, shipments, inspections and logistics infrastructure that were already present in Silq’s data.
I worked across the information architecture, operator and client experiences, facility intelligence, maps and the concept of Gateway Regions. The goal was to help teams move from simply finding a facility to understanding it: what Silq knows about it, how it has performed across the network, and what that context could mean for future decisions.
Discovery · Explore gateway regions
Gateway Regions organise the network around the most-used logistics hubs, letting operators explore connected infrastructure directly on the map. Selecting a region surfaces its organisations, facilities, active shipments, airports, seaports and CFSs in one view.
Context · Understand the gateway
Each gateway brings its logistics infrastructure together to show how facilities, ports, airports and CFSs connect within a region. This gives operators a clearer operational picture without having to piece information together across multiple places.
Intelligence · Learn from shared facilities
Facility views bring together location details, shipment activity, inspection history and data from other organisations using the same facility. AI-generated insights turn this accumulated network data into concise signals, helping users understand how a facility has performed before making operational decisions.
The work is complete; the case study is still being documented.
