digitising, optimising, automating
FLC Control Tower
Challenge
A Front Line Command was responsible for managing Government Furnished Equipment that enabled a critical operational capability. Inventory was controlled through manual processes, which led to reactive planning and significant inefficiencies. Visibility of both supply and demand was limited, with more than 15 teams submitting requests through disconnected and time-consuming workflows. The Command lacked the ability to plan effectively, source and allocate GFE, or maintain a reliable audit trail of equipment movements. This resulted in delays, short-term firefighting and reduced confidence in inventory data.
stakeholders engaged
decision questions answered
platform teams now using the tool
months from initiation to final release
What Squarcle Did
Squarcle developed a concept demonstrator that unified data, people, processes and systems in order to enable proactive, data-driven planning. We combined multiple data sources from logistics information systems and user teams, and produced a consolidated picture of demand and availability. Squarcle explored six potential platforms for deployment and engaged more than 50 stakeholders across the enterprise, addressing over 150 decision questions to ensure alignment with Defence Digital, DE&S and Front Line Command users.
The demonstrator showcased the impact of digitising, optimising and automating GFE management. It included streamlined workflows, visual analytics, allocation functionality and an end-to-end view of the equipment lifecycle, supported by technical documentation and user guidance.
Outcomes
The unified tool created a single authoritative view of GFE inventory and future demand, which reduced manual effort, removed duplication and improved organisational planning. Clear visualisation of objective data, trends and performance enabled better decision making on priority allocations to support the modernisation and fielding of new platforms.
Workflow efficiency improved, saving the Command time and resources, while reducing the risk associated with limited critical equipment. Accuracy increased through the use of live and historical data, including warnings and indicators that highlighted emerging issues in allocation. More than 30 platform teams adopted the demonstrator and provided feedback to shape the next stage of capability development.
