Lockheed Martin rolls out AI-driven sustainment tools to boost readiness, forecast parts demand
LMT•LogC2 dashboard deployed on the F-35
A real-time LogC2 dashboard has been deployed on the F-35, integrating forecasts with parts-health views, anomaly detection, and prescriptive stock routing.
AI-driven sustainment tools aimed at military readiness
Lockheed Martin outlined AI-driven sustainment R&D aimed at improving military readiness through faster logistics decision-making.
Machine-learning forecasts use telemetry and digital twins
Machine-learning demand forecasting shifted from static flight-hour models to telemetry-driven predictions using sensor data, operational profiles, and digital twins.
Expansion to other Air Force platforms and next-phase automation
Program expansion is underway for the F-22, F-16, and 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 and unmanned resupply are framed as the next phase in logistics automation.
