01 Challenge
Too much operational noise
Teams lacked a coherent command view for tracking statuses, surfacing critical alerts, and coordinating operational responses.
02 Approach
Prioritise the next decision
I built a monitoring prototype with prioritised alerts, status visibility, and workflow-oriented decision support.
03 Execution
Designing for triage speed
I designed process flows, implemented dashboard interactions, and structured the interface for fast triage and follow-up action.
04 Outcome
Faster coordination in day-to-day ops
The solution improved visibility of operational issues and shortened decision loops for day-to-day coordination.
Technical delivery
How the product was shaped
The logistics twin was designed around exception management: helping an operator understand what changed, what it affects and what action should happen next across a moving network.
From asset data to operational exceptions
A useful twin cannot treat every update as equally important. The interface model separated routine movement from late, blocked or at-risk states, linked those conditions to affected shipments and exposed ownership. That gave alerts a place in an operational workflow instead of displaying them as disconnected notifications.
One state across map, table and detail
Network views, shipment lists and task panels were designed as different projections of the same underlying status model. Selecting an asset or exception propagated context across the interface, reducing the reconciliation work users perform when separate dashboards disagree about filters, time windows or identifiers.
Designed for integration conversations
The prototype made likely boundaries visible: telemetry and shipment events coming in, normalised status and rules in the middle, and role-specific views or actions at the edge. That architecture is valuable in discovery because it reveals integration, data-quality and ownership questions before a production build begins.