Delivery management system, delivery management method, and non-transitory computer readable storage medium

A delivery management method, comprising:

• generating, through clustering processing, training data including:
• delivery destination information on a plurality of delivery destinations, the delivery destination information including information indicating positions of past delivery destinations;
• and ground truth data indicating delivery clusters into each of which a corresponding one of the plurality of delivery destinations is classified, and each of which is associated with a delivery person with at least one processor operating with a memory device in a system;
• and
• inputting, to a machine learning model, the delivery destination information on the plurality of delivery destinations included in the training data with the at least one processor operating with the memory device in the system, and
• training, with the at least one processor operating with the memory device in the system, the machine learning model based on information indicating predicted delivery clusters, which is output from the machine learning model, and based on the delivery clusters into which the plurality of delivery destinations are classified, and which are included in the training data.

A non-transitory computer readable storage medium storing a plurality of instructions, wherein when executed by at least one processor, the plurality of instructions cause the at least one processor to:

• generate, through clustering processing, training data including:
• delivery destination information on a plurality of delivery destinations, the delivery destination information including information indicating positions of past delivery destinations;
• and ground truth data indicating delivery clusters into each of which a corresponding one of the plurality of delivery destinations is classified, and each of which is associated with a delivery person;
• input, to a machine learning model, the delivery destination information on the plurality of delivery destinations included in the training data, and
• train the machine learning model based on information indicating predicted delivery clusters, which is output from the machine learning model, and based on the delivery clusters into which the plurality of delivery destinations are classified, and which are included in the training data.