Method for processing inventory data based on dynamic weighting and splitting algorithms

Abstract

The invention discloses a method for processing inventory data based on dynamic weighting and splitting algorithms. The method comprises the following steps of (1) starting; (2) verifying data; when the data verification fails, directly entering the finishing step; (3) judging whether the data verification is successful or not; when the data verification is successful, obtaining a distributed typelock; (4) further judging whether the distributed type locked is obtained or not; when the distributed type lock is not obtained, returning back to the previous step; when the distributed type lock is obtained, obtaining data in the storage system; (5) calculating cost; (6) after cost calculation is completed, sending starting information; (7) after information sending is completed, releasing thedistributed type lock; (8) finishing the processing method. The method has the advantages that the commodity retailing information and inventory change data can be solved, the data information can becalculated in real time, the data processing ability is strong, the data is conveniently and rapidly processed, and the running is safe and reliable.

Description

Technical field [0001] The invention relates to a data processing technology for a database, in particular to an inventory data processing method. Background technique [0002] At present, data such as purchase, sales and inventory flow, daily settlement, etc. in retail enterprises show that the company starts from receiving the order contract, enters the purchase of materials, warehousing, requisition to product completion warehousing, delivery, recovery of goods, payment of raw materials, etc. Provide detailed and accurate data at each step. Effectively assist enterprises to solve business problems in business management, distribution management, inventory management, execution and monitoring of marketing plans, and collection of statistical information. Information data such as purchase, sales and inventory, daily settlement, etc. are involved in production management, product inventory management, sales management, data files, customer resource credit management, fund receip...

AI Technical Summary

Problems solved by technology

[0003] It is cumbersome and complicated to count information data such as purchase, sales, inventory, and daily balance, especially the inventory daily balance data may need to be recalculated

When uploading offline data, it is necessary to recalculate the inventory data information for a certain period of time according to the actual transaction time of the offline data, and it is impossible to count the inventory data in real time, which causes great inconvenience to the statistical inventory information

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