Method and apparatus for scheduling item, and computer-readable storage medium

An apparatus for scheduling an item, comprising:

• a processor;
• and
• a memory configured to store processor-executable instructions,
• wherein the processor is configured to:
• acquire a first time sequence corresponding to a target item in a target warehouse, the first time sequence including shipment volume information of the target item corresponding to each unit time within a first historical period;
• determine total shipment volume information of the target item within a target period through a shipment prediction model based on the first time sequence and a target period to be predicted that includes at least one unit time, the shipment prediction model including a plurality of parallel first time sequence sub-models and a weighted sub-model which is connected to an output of each of the parallel first time sequence sub-models, each of the parallel first time sequence sub-models being configured to determine shipment estimation information of the target item within the target period according to the first time sequence and the target period, and the weighted sub-model being configured to perform a weighted summation on pieces of the shipment estimation information which are output by the parallel first time sequence sub-models so as to determine the total shipment volume information according to a result of the weighted summation;
• and
• schedule the target item in the target warehouse according to the total shipment volume information and current inventory information of the target item in the target warehouse.

A non-transitory computer-readable storage medium having computer program instructions stored thereon that, when executed by a processor, cause the processor to implement operations comprising:

• acquiring a first time sequence corresponding to a target item in a target warehouse, the first time sequence including shipment volume information of the target item corresponding to each unit time within a first historical period;
• determining total shipment volume information of the target item within a target period through a shipment prediction model based on the first time sequence and a target period to be predicted, the target period including at least one unit time, the shipment prediction model including a plurality of parallel first time sequence sub-models and a weighted sub-model which is connected to an output of each of the parallel first time sequence sub-models, each of the parallel first time sequence sub-models being configured to determine shipment estimation information of the target item within the target period according to the first time sequence and the target period, and the weighted sub-model being configured to perform a weighted summation on pieces of the shipment estimation information which are output by the parallel first time sequence sub-models so as to determine the total shipment volume information according to a result of the weighted summation;
• and
• scheduling the target item in the target warehouse according to the total shipment volume information and current inventory information of the target item in the target warehouse.