Material inventory analysis system and method based on SAP platform

Abstract

The invention relates to a material inventory analysis system and method based on an SAP platform. The system specifically comprises an SAP ERP system, and a tiered unit price calculation module, an EOL risk analysis prompt module, a purchase quantity recommendation module, a purchase cost analysis improvement module and an EOL control module all connected with the SAP ERP system. According to thematerial inventory analysis system and method based on the SAP platform, the tiered unit price automatic calculation module, the intelligent purchase quantity recommendation module, the EOL risk analysis prompt module, the purchase cost analysis improvement module and the EOL control module are added to the original SAP ERP system to realize tiered unit price automatic calculation, intelligent procurement quantity recommendation, EOL analysis calculation and early warning, and achieve the purposes of optimizing the procurement frequency, reducing the procurement cost, reducing the procurementEOL risk, reducing the inventory and improving the inventory turnover rate.

Description

technical field [0001] The invention relates to the technical field of inventory management, in particular to a material inventory analysis system and method based on a SAP platform. Background technique [0002] With the widespread use of SAP ERP technology and intelligent three-dimensional warehouses, more and more purchase order management is done through information systems. On the one hand, purchasers need to choose the appropriate material price to save costs for the company, and on the other hand, they need to purchase enough materials to ensure the normal production of the company, and the unit price costs required for different quantities of materials are also different. At the same time, they also need to consider Existing stock to decide order. Only in this way can the capital circulation of the enterprise be guaranteed and the capital turnover be promoted. [0003] In the case of a company with multiple factories, it is difficult to obtain outbound information ...

AI Technical Summary

Problems solved by technology

[0003] In the case of a company with multiple factories, it is difficult to obtain outbound information for different materials, different factories, and different inventories, and it is also difficult to integrate and analyze all material information. Moreover, due to the large number of materials, factories, and There is a lot of outbound information, resulting in a very large amount of material order information. Managers need to repeatedly screen the unit price data of these materials, resulting in very low efficiency of data analysis during the order formulation process, and it is impossible to make an overall view of the entire material order information. At the same time, various material purchase orders will cause certain procurement risks, and it is difficult for managers to obtain accurate information and avoid procurement risks in the entire production cycle; at the same time, a large number of projects require long-term order tracking, which cannot be directly reported to managers. reaction

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