Lockheed Martin rolls out AI-driven sustainment tools to boost readiness, forecast parts demand

• Lockheed Martin outlined AI-driven sustainment R&D aimed at improving military readiness through faster logistics decision-making.
• Machine-learning demand forecasting shifted from static flight-hour models to telemetry-driven predictions using sensor data, operational profiles, digital twins.
• Real-time LogC2 dashboard deployed on the F-35, integrating forecasts with parts-health views, anomaly detection, prescriptive stock routing.
• Program expansion underway for F-22, F-16, C-130 to create a common AI logistics picture across multiple Air Force platforms.
• Predictive-maintenance models target failure forecasts up to 72 hours ahead; autonomous robotics, unmanned resupply framed as next-phase logistics automation.

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