US TRANSCOM makes its logistics routes random by AI to avoid being predictable

The American transport command varies the routes and frequencies of delivery rather than following fixed schedules, which can be exploited by an adversary.

The United States Forces Transport Command (TRANSCOM) presented at the DefenseTalks Conference on 23 September the use of randomization algorithms to protect its global distribution networks. The principle is simple: rather than following regular, easy-to-observe and therefore targeted tours, the system continuously varies the routes and frequencies of ammunition, batteries, medical supplies and rations.

Around this brick are added the autonomous recalculation of routes in case of disturbance, predictive planning of demand, connected sensors for tracking shipments, digital twins simulating distribution corridors and encryption of cargo data backed by a chain of blocks. "IA allows us to randomize routes, to use autonomy to reduce cognitive load and to anticipate operational friction before it occurs," says General Randall Reed, head of command.

Three technical obstacles are assumed: the scarcity of data, the uncertain quality of the synthetic games used in substitution, and the need for computing power "from the plant to the hole of tiring". Command builds in response authoritative data layers, intended to feed predictive models with verified inputs to keep automation in a combat situation.