Ordering quantity information processing method and device and storage medium

Abstract

The invention provides an order quantity information processing method and device and a storage medium, and the method comprises the steps: determining an order constraint condition of a target store based on the historical order data and historical sales data of the target store in response to an order request of the target store, wherein the ordering constraint condition at least comprises initial ordering quantities, ordering cost intervals, sales prices and ordering quantity intervals of at least two single items; under the ordering constraint condition, based on the target function, obtaining the target ordering quantities of at least two single items corresponding to the maximum total gross profit; and outputting target information corresponding to the ordering request, wherein the target information at least comprises the target ordering quantities of at least two single items. According to the order quantity information processing method provided by the invention, the target order quantities of the target store for at least two kinds of single items are determined by combining the relevance between the single items, and compared with the fact that the order quantity based on the historical sales volume of the single item is predicted, the order quantity of each single item meeting the maximum gross profit can be predicted under the condition that the order cost is limited.

Description

technical field [0001] The present disclosure relates to the field of the Internet of Things, and in particular to a method, device and storage medium for processing order quantity information. Background technique [0002] Nissin store is a new type of fast-moving convenience store with the concept of zero inventory as the leading idea. Most of the items it deals in are fresh products and other items that require high freshness. Its operating feature is that the entire site has fixed-point discounts on single items, and it will never sell overnight items when it reaches Nissin. Therefore, compared with ordinary retail convenience stores, Nissin fresh food stores have higher requirements for product selection and ordering accuracy, otherwise serious losses will occur, which will affect the store's gross profit level. [0003] In related technologies, orders are placed for Nissin stores through a traditional ordering model. Among them, the traditional ordering model is main...

AI Technical Summary

Problems solved by technology

Due to the weak robustness of the item model, the order quantity obtained by this method may be unreasonable

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