Electronic apparatus for processing information for item delivery and method thereof

An electronic apparatus that processes information, the electronic apparatus comprising:

• a transceiver;
• a memory configured to store instructions;
• and
• a processor, connected to the transceiver and memory, wherein the processor is configured, when executing the instructions, to cause the electronic apparatus to:
• receive, from a device of a user that supplies items, first information related to supply including (i) information on a target fulfillment center to which an item is to be supplied and (ii) information on the item;
• determine, based on the first information, a delivery type of the supply;
• predict scheduled arrival time information of the item according to the supply according to a method corresponding to the determined delivery type of the supply, wherein the instructions to predict the scheduled arrival time information, when executed, cause the electronic apparatus to:
• train, using training data corresponding to predicting scheduled arrival time information for an item, a machine learning model to predict scheduled arrival time information based on the first information, the delivery type, and the information on the target fulfillment center;
• predict, using the trained machine learning model and based on the first information, the delivery type, and the information on the target fulfillment center, scheduled arrival time information for the item;
• and
• provide second information including the information on the item and the predicted scheduled arrival time information to the device corresponding to the target fulfillment center;
• acquire a reliability score corresponding to the user;
• based on a determination that the reliability score fails to satisfy a threshold, transmit, to the device corresponding to a target fulfillment center, an indication to perform an inventory check at the target fulfillment center when the item is processed;
• determining manpower allocation information corresponding to the target fulfillment center based on the second information;
• retraining, based on the manpower allocation information corresponding to the target fulfillment center, the machine learning model;
• predicting, based on retrained machine learning model, an updated scheduled arrival time information for the item;
• and
• based on predicting the updated scheduled arrival time information, transmit the updated scheduled arrival time information to the target fulfillment center.