Using AI for Defence Logistics and Operations in Australia (2026)

Defence logistics is one of the most complex supply chain management challenges in existence. The Australian Defence Force must maintain readiness across a wide range of platforms — ships, aircraft, armoured vehicles, weapons systems — while managing a global supply chain, operating in remote and austere environments, and responding to both planned operations and unexpected contingencies.

AI tools are being applied to defence logistics to improve efficiency, reduce costs, and enhance operational readiness. This article covers the publicly known applications, drawing on publicly available information.

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Predictive Maintenance

Maintaining military equipment is expensive and time-consuming. Traditional maintenance approaches — scheduled maintenance at fixed intervals — can result in unnecessary maintenance of equipment that does not need it, and can miss developing faults between scheduled intervals.

Predictive maintenance uses AI to analyse data from equipment sensors to predict when maintenance will be needed — before a failure occurs. This allows maintenance to be scheduled when it is actually needed, reducing both unplanned downtime and unnecessary maintenance.

The ADF operates complex platforms — including F-35 Joint Strike Fighters, P-8 Poseidon maritime patrol aircraft, and Hobart-class destroyers — that generate large volumes of sensor data. AI-assisted predictive maintenance is being applied to these platforms.

The F-35 program, which Australia participates in, uses the Autonomic Logistics Information System (ALIS) and its successor, the Operational Data Integrated Network (ODIN), which incorporate AI features for maintenance management.

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Supply Chain Optimisation

Defence supply chains are global and complex. Managing the inventory of spare parts, consumables, and equipment across multiple bases, ships, and deployed locations is a significant logistical challenge.

AI tools can help by:

• Demand forecasting: Predicting what parts and supplies will be needed, when, and where — reducing both stockouts and excess inventory.
• Inventory optimisation: Determining optimal stock levels at each location to balance availability against cost.
• Supplier management: Analysing supplier performance and identifying supply chain risks.
• Distribution planning: Optimising the movement of supplies from depots to operational locations.

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Operational Planning

Military operational planning involves complex analysis of terrain, weather, logistics, and enemy capabilities. AI tools can support operational planning by:

• Course of action analysis: Analysing multiple potential courses of action and their likely outcomes.
• Logistics planning: Calculating the logistical requirements for planned operations — fuel, ammunition, food, water, medical supplies.
• Route planning: Optimising movement routes taking into account terrain, threats, and logistics constraints.
• Wargaming: AI-powered wargaming tools can help planners test plans against simulated adversary responses.

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Humanitarian Assistance and Disaster Relief

The ADF regularly conducts humanitarian assistance and disaster relief (HADR) operations — both in Australia and in the Indo-Pacific region. AI tools can support HADR operations by:

• Damage assessment: Analysing satellite imagery to assess the extent of damage and identify areas of greatest need.
• Logistics coordination: Managing the complex logistics of delivering aid to affected areas.
• Resource allocation: Optimising the allocation of limited resources — aircraft, ships, personnel — to maximise the impact of the relief effort.

The ADF has conducted HADR operations in response to natural disasters in Australia (including the 2019-20 bushfires and the 2022 Queensland floods) and in the Pacific region. AI tools are increasingly being used to support these operations.

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Autonomous Systems in Logistics

Autonomous systems are beginning to be used in defence logistics:

• Autonomous ground vehicles: Unmanned ground vehicles can be used to transport supplies in dangerous or austere environments, reducing the risk to personnel.
• Autonomous aerial vehicles: Drones are being used for last-mile delivery of supplies to remote or inaccessible locations.
• Autonomous underwater vehicles: AUVs are being used for mine countermeasures and underwater survey tasks.

The ADF is investing in autonomous systems as part of its broader modernisation program.

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Key Considerations

Reliability and Resilience

Defence logistics AI systems must be reliable in the demanding conditions of military operations — including in degraded communications environments and under adversarial conditions. Backup systems and manual processes must be maintained.

Security

Defence logistics systems contain sensitive information about military capabilities, locations, and plans. These systems must be protected against cyber threats and must comply with Defence security requirements.

Human Oversight

Logistics decisions that affect operational readiness must involve human oversight and accountability. AI provides analysis and recommendations; human logistics officers make decisions.