Intelligent replenishment system

Abstract

An intelligent replenishment system belongs to the technical field of logistics management and comprises a business module, a prediction module, an adjustment module and an evaluation module. The business module is used for placing an order; the prediction module is used for product demand prediction to obtain a demand prediction scheme; the evaluation module is used for evaluating the demand prediction scheme output by the prediction module, outputting a predicted value of the product variation, comparing the predicted value with the self demand, and determining whether to adjust parameters in the demand prediction scheme according to a comparison result; the adjustment module is used for transmitting the parameters output by the evaluation module to the prediction module to optimize a demand prediction scheme. The intelligent replenishment system achieves the automatic prediction of the order placing amount, reduces the labor intensity and cost of an enterprise, improves the prediction precision, reasonably reduces the inventory turnover, avoids the stockout phenomenon, and improves the competitiveness of the enterprise development.

Description

technical field [0001] The invention belongs to the technical field of logistics management, in particular to an intelligent replenishment system. Background technique [0002] Inventory management is the most important thing for a company. For a company, if its best-selling products are out of stock, it may cause the company to be overtaken by competitors, and even need to spend a lot of time and money to re-promote the product. [0003] At present, enterprise inventory management is through manual ordering. Before placing an order, the goods are calculated manually, and then combined with personal experience to manually predict the quantity to determine the order quantity required by the enterprise. This method not only wastes the cost of the enterprise, but also affects the individual employees. In other words, it takes more time and energy. In addition, there are large deviations in the results calculated by different people, which is obviously not good for the developme...

AI Technical Summary

Problems solved by technology

[0002] Inventory management is the most important thing for a company. For a company, if its best-selling products are out of stock, it may cause the company to be overtaken by competitors, and even need to spend a lot of time and money to re-promote the product

[0003] At present, enterprise inventory management is through manual ordering. Before placing an order, the goods are calculated manually, and then combined with personal experience to manually predict the quantity to determine the order quantity required by the enterprise. This method not only wastes the cost of the enterprise, but also affects the individual employees. In other words, it takes a lot of time and energy. In addition, there are large deviations in the results calculated by different people, which is obviously not good for the development of enterprises.

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