Commodity order quantity determination method and device, electronic equipment and storage medium

Abstract

The invention discloses a commodity order quantity determination method and device, electronic equipment and a storage medium. The commodity order quantity determination method comprises the steps ofobtaining the number of available target commodities of a target warehouse of a merchant every day in an optimization period; obtaining daily target commodity demands of merchants in the optimizationperiod; carrying out Poisson distribution fitting on the daily target commodity demand to obtain demand probability distribution of the daily target commodity; and determining the daily optimal orderquantity of the target commodity according to the demand probability distribution of the daily target commodity and the daily available target commodity quantity. On the basis that an existing commodity replenishment mode cannot give consideration to waste and supply shortage problems, the demand probability distribution of Poisson distribution is fitted according to the demand of the target commodity every day, and the optimal ordering amount every day is obtained according to the demand probability distribution and the number of available target commodities, so that the commodity inventory periodic rate is increased, the waste rate is reduced, and the efficiency of commodity replenishment is improved. And the service satisfaction rate is improved, so that the inventory turnover efficiency of the commodity supply chain is improved.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to a method, device, electronic equipment and storage medium for determining the order quantity of commodities. Background technique [0002] In the traditional inventory management mode, the allocation of inventory is extremely dependent on the experience and personal ability of the operator, and there will be daily repetitive calculation work, which is inefficient, high in cost, and low in accuracy and precision. Especially in the inventory management scheme of the retail industry, there are many types of Stock Keeping Unit (SKU), and the traditional inventory management scheme can no longer cope with the inventory model of the retail industry with a very fast update and iteration speed. [0003] With the rapid development of artificial intelligence operation optimization algorithms and the application in actual scenarios, intelligent and efficient inventory management s...

AI Technical Summary

Problems solved by technology

They have a very short life cycle. If they cannot be sold within the warranty period, it will cause great waste and bring huge profit losses to the enterprise. If they cannot be replenished in time, the supply will be in short supply and the market share cannot be increased. It will also bring huge profit loss to the enterprise. The existing commodity replenishment method cannot take care of waste and shortage of supply, resulting in huge profit loss for the enterprise. At the same time, the inventory turnover efficiency of the supply chain is low.

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