Intelligent auxiliary decision-making purchasing method

Abstract

The invention relates to an intelligent auxiliary decision-making purchasing method. The method comprises the steps of establishing a material basic table associated with purchased materials, configuring inventory standards based on the material basic table, obtaining historical purchasing data of a current unit, and constructing an inventory removal model; and after the user initiates a purchasedemand, giving an auxiliary purchase decision based on the inventory removal model. According to the invention, based on comparison of real-time storage data, ideal commodity inventory setting, commodity expiration and scrap data and historical same-period data, an intelligent purchasing auxiliary decision-making suggestion is given, the human experience level requirement of material purchasing quantity judgment is reduced, the related data statistics time is reduced, the purchasing quantity is more accurate, and inventory overstock is reduced on the basis of guaranteeing the requirement.

Description

technical field [0001] The present invention relates to data processing systems or methods specially suitable for administrative, commercial, financial, management, supervisory or forecasting purposes; processing systems or methods specially suitable for administrative, commercial, financial, management, supervisory or forecasting purposes not included in other categories The technical field of the method, in particular to an intelligent auxiliary decision-making procurement method. Background technique [0002] Purchasing refers to a business activity in which an individual or unit obtains products or services from the supply market as their own resources under certain conditions to meet their own needs or ensure the normal development of production and business activities. [0003] At the same time as the purchase, the inventory will change. Inventory is the goods actually stored in the warehouse, including production inventory and circulation inventory. The production in...

AI Technical Summary

Problems solved by technology

[0005] (1) The personnel in charge of procurement must be required to have rich experience and high personnel costs;

[0006] (2) A lot of statistics need to be done first, and it takes a lot of time to organize and analyze information;

[0007] (3) There are problems of excessive or insufficient purchase quantity due to inconsiderate consideration, which leads to increased purchase cost or inventory backlog;

[0008] (4) The material data is constantly changing, and the statistical data is not necessarily accurate. Even with experience and careful analysis, there may still be mistakes

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