Method for determining optimal replenishment quantity based on big data

Abstract

The invention discloses a method for determining the optimal replenishment quantity based on big data. The method comprises the steps: obtained data is predicted and analyzed according to big data; the optimal value of the number of days of the safe inventory is calculated, then the value of the number of days of the existing safe inventory is estimated to obtain the value of the number of days ofthe safe inventory, coding is started, then population initialization and individual fitness evaluation in a group are carried out, selection, crossover and variation are carried out, and after a conclusion is obtained, evolution and circulation are continued until calculation is terminated. According to the method, a genetic algorithm is carried out on the basis of big data, so that the problemthat a replenishment scheme can be adjusted in time when goods are often changed or are inconvenient to check on site one by one in the actual supply process is solved, and the method can better adaptto actual changeable conditions.

Description

technical field [0001] The invention relates to the technical field of big data marketing, in particular to a method for determining optimal replenishment quantity based on big data. Background technique [0002] With the advent of the new retail era and the development of technology, under the impact of e-commerce, the traditional retail model currently represented by physical stores needs to be changed, and new breakthroughs should be found from the traditional model. The response speed of the supply chain is a major competitiveness. It is driven by the trend to improve the inventory turnover rate and spot rate, liberate human efficiency, and improve operational efficiency. In the supply chain, replenishment is a very important link in the supply chain. If the replenishment data can be generated through intelligent replenishment, it can effectively reduce the cost of manual operation, and assist enterprises to obtain specific benefits such as improving inventory turnover a...

AI Technical Summary

Problems solved by technology

[0004] One of the commonly used replenishment methods is the inventory upper and lower limit method, also known as the safety stock method. Since it is difficult for the business department to determine a reasonable upper and lower inventory limit for thousands of products in each store and store, the determined upper and lower inventory limits The lower limit needs to be constantly maintained according to the actual situation and different commodities, which makes the inventory turnover inefficient and affects sales performance

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