Abstract: Systems and methods for carrier operations are disclosed. The method includes generating, using a deep learning model on one or more processors, a real-time load model of available loads in a n-dimensional model space that incorporates spatial and temporal dimensions; generating, by the one or more processors, a simulated load representative of a load criteria for the carrier based on the real-time model; and determining, by the one or more processors, a real load, based on the simulated load, from the one or more load sources by selecting, from an updated aggregation of the load sources, one or more matching real loads based on a comparison to the simulated load.

Abstract: Systems and methods for carrier operations are described. A real-time load model of available loads can be generated. A simulated load representative of a load criteria for a carrier based on the real-time load model can be generated. A real load, based on the simulated load, can be determined. One or more matching real loads can be selected from available real loads based on a comparison to the simulated load.