A method, device, equipment and storage medium for determining the order quantity of a store

Abstract

The embodiment of the present invention provides a method, device, equipment and storage medium for determining the order quantity of a store. The method includes: first extracting the business district characteristics of a target store whose order quantity is to be determined and each of the benchmark stores, and then based on the target store and the target store. The business district characteristics of each benchmarking store, calculate the similarity between the target store and each benchmarking store, and select a preset number of benchmarking stores whose similarity meets the preset rules as reference stores, and then based on the operation of each reference store Data to determine the type and quantity of orders in the target store. By applying the embodiment of the present invention, the order quantity of the target store is determined based on the operation data of the similar benchmark stores of the target store, so that when the order quantity of the store is determined, the historical data with strong reference can be referred to, and there is no need to rely only on manual labor. Ordering with experience makes store ordering more reasonable and improves the accuracy of store ordering.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a method, device, equipment and storage medium for determining the order quantity of a store. Background technique [0002] At present, data processing technology has been widely used in all walks of life. In the field of data processing technology, machine learning methods are usually used to make relevant data predictions relying on a large amount of historical data. However, in some cases, because there is not enough historical data with strong reference, it is impossible to use machine learning methods for data processing and prediction. [0003] For example: for the retail industry. Usually, it is necessary to place an order for the store for sales. At this time, it is necessary to determine the specific order quantity, that is, to determine the type of goods to be ordered, and the order quantity of various goods. However, because some stores do not have enough hi...

AI Technical Summary

Problems solved by technology

However, due to relying entirely on manual experience, there will be situations where too many orders for a certain product lead to a backlog of goods, or too few orders for a certain product, which cannot meet customer needs, and the order is very inaccurate

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