Supply chain visibility platform

A system comprising:

• one or more processors;
• and
• at least one computer-readable medium having stored thereon instructions that, when executed by the one or more processors, cause the one or more processors to:
• request a location of one or more devices based on a predicted time the one or more devices will be located at a user configured location, wherein the one or more devices is associated with tracking a load being transported by a carrier from a source location to a destination location;
• determine a communication error between the system and the one or more devices;
• determine one or more predicted locations of the load while the system is unable to communicate with the one or more devices or the carrier, wherein the one or more predicted locations of the load are determined based on one or more physical characteristics of the load influencing an environment and route;
• and
• generate, by a model trained based on an RNN configuration, tracking information that identifies the one or more predicted locations of the load and a trajectory of the load from a current location to the destination location, the trajectory of the load being based on the physical characteristics of the load, the one or more predicted locations of the load, and the destination location;
• wherein the model determines the trajectory of the load by sequentially processing, across one or more hidden layers, input data defining a previous state of the load and a current state of the load through the application of input-adaptive weighting values to the input data, the input data comprising the physical characteristics of the load, the one or more predicted locations of the load, and the destination location.

A non-transitory computer-readable storage medium comprising:

• instructions that, when executed by one or more processors, cause the one or more processors to:
• request, by a predictive visibility system, a location of one or more devices based on a predicted time the one or more devices will be located at a user configured location, wherein the one or more devices is associated with tracking a load being transported by a carrier from a source location to a destination location;
• determine a communication error between the predictive visibility system and the one or more devices;
• determine one or more predicted locations of the load while the predictive visibility system is unable to communicate with the one or more devices or the carrier, wherein the one or more predicted locations of the load are determined based on physical characteristics of the load influencing an environment and route, wherein the predictive visibility system comprises a model trained based on an RNN configuration;
• and
• generate tracking information that identifies the one or more predicted locations of the load and a trajectory of the load from a current location to the destination location, the trajectory of the load being based on the physical characteristics of the load, the one or more predicted locations of the load, and the destination location;
• wherein the model determines the trajectory of the load by sequentially processing input data defining a previous state of the load and a current state of the load through the application of input-adaptive weighting values to the input data, the input data comprising the physical characteristics of the load, the one or more predicted locations of the load, and the destination location.