Adaptive logistics platform for determining demurrage and detention data

A method, comprising:

• determining, by a device, a predicted port congestion based on a model that maps movement of shipping vessels,
• the predicted port congestion being determined based on global positioning system (GPS) readings indicating the shipping vessels are in motion or at rest outside of a port;
• receiving, by the device, geolocation information from a location sensor of a shipping vessel that carries one or more shipping containers,
• the geolocation information identifying a location of the shipping vessel,
• each shipping container, of the one or more shipping containers, being associated with a GPS sensor;
• altering, by the device and based on the location of the geolocation information received from the location sensor of the shipping vessel and the predicted port congestion, an amount of computing resources used to monitor periodic GPS measurements reported by the GPS sensor associated with each shipping container,
• the amount of computing resources to be altered being determined based on a predicted amount of time the shipping vessel will be motionless;
• collecting, by the device, event information using the altered amount of computing resources used to monitor the periodic GPS measurements;
• the event information identifying a container event associated with generating demurrage or detention data for a shipping container;
• identifying, by the device and based on the event information, baseline information associated with generating the demurrage or detention data for the shipping container;
• determining, by the device and based on the container event and the baseline information, that generation of the demurrage or detention data is to be triggered in association with the shipping container;
• generating, by the device, the demurrage or detention data for the shipping container based on the event information and the baseline information, and based on determining that generation of the demurrage or detention data is to be triggered in association with the shipping container,
• where generating the demurrage or detention data comprises:
• generating the demurrage or detention data based on one or more exception events that identify an exception to demurrage or detention,
• the one or more exception events including one or more of:
• a port congestion delay, or
• a customs delay;
• providing, by the device, the demurrage or detention data;
• and
• updating, by the device, the model using the baseline information and the event information.

A non-transitory computer-readable medium storing instructions, the instructions comprising:

• one or more instructions that, when executed by one or more processors, cause the one or more processors to:
• determine a predicted port congestion based on a model that maps movement of shipping vessels,
• the predicted port congestion being determined based on global positioning system (GPS) readings indicating the shipping vessels are in motion or at rest outside of a port;
• receive geolocation information from a location sensor of a shipping vessel that carries one or more shipping containers,
• the geolocation information identifying a location of the shipping vessel,
• each shipping container, of the one or more shipping containers, being associated with a GPS sensor;
• alter, based on the geolocation information received from the location sensor of the shipping vessel and the predicted port congestion, an amount of computing resources used to monitor periodic GPS measurements reported by the GPS sensor associated with each shipping container,
• the amount of computing resources to be altered being determined based on a predicted amount of time the shipping vessel will be motionless;
• collect event information using the altered amount of computing resources used to monitor the periodic GPS measurements,
• the event information identifying a container event associated with generating demurrage or detention data for a shipping container,
• the container event indicating a time to be used to generate the demurrage or detention data for the shipping container;
• identify, based on the event information, baseline information associated with generating the demurrage or detention data for the shipping container;
• determine, based on the event information and the baseline information, that generation of the demurrage or detention data is to be triggered in association with the shipping container;
• generate the demurrage or detention data for the shipping container based on the event information and the baseline information, and based on determining that generation of the demurrage or detention data is to be triggered in association with the shipping container,
• where the one or more instructions, that cause the one or more processors to generate the demurrage or detention data, cause the one or more processors to:
• generate the demurrage or detention data based on one or more exception events that identify an exception to demurrage or detention,
• the one or more exception events including one or more of:
• a port congestion delay, or
• a customs delay;
• provide the demurrage or detention data;
• and
• update the model using the baseline information and the event information.