An intelligent replenishment system

Abstract

An intelligent replenishment system belongs to the technical field of logistics management, and includes a business module, a forecast module, an adjustment module and an evaluation module; wherein, the business module is used for placing orders; the forecast module is used for product demand forecasting, and a demand forecasting scheme is obtained. The evaluation module is used to evaluate the demand forecasting scheme output by the forecasting module, output the forecast value of the product variation, compare the forecast value with its own demand, and determine whether to adjust the parameters in the demand forecast scheme according to the comparison result; The adjustment module is used to transmit the parameters output from the evaluation module to the prediction module to optimize the demand prediction scheme; the present invention realizes the automatic prediction of the order quantity, reduces the labor intensity and cost of the enterprise, improves the prediction accuracy, and reasonably reduces the inventory turnover , to avoid the phenomenon of out-of-stock, and enhance the competitiveness of enterprise development.

Description

technical field [0001] The invention belongs to the technical field of logistics management, and particularly relates to an intelligent replenishment system. Background technique [0002] Inventory management is a top priority for companies. For a company, if its best-selling products are out of stock, it may lead to the company being overtaken by competitors, and even spend a lot of time and money to re-promote products. [0003] At present, enterprise inventory management uses manual ordering. Before placing an order, it conducts commodity accounting manually, and then combines 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 is a large deviation in the results calculated by different people, which is obviously unfavorable for the development of en...

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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