Sales information statistic method

Abstract

The embodiment of the invention relates to a sales information statistic method. The sales information statistic method comprises the following steps: receiving a sales statistic command by a server; analyzing the sales statistic command, and according to analysis, obtaining a primary organization name, a secondary organization name and / or a shop name; according to the primary organization name, the secondary organization name and / or the shop name, acquiring corresponding ID numbers in an organization management list; acquiring order data in an order management database; according to an primary organization ID, a secondary organization ID, a shop ID and an order ID, splitting the order data; according to the ID numbers, matching in a split result, and when the ID numbers exist in the split result, acquiring corresponding order information from an order information database according to the order data; adding the order information into a sales statistic list; receiving sales statistic project information, performing corresponding statistic processing on the order information in the sales statistic list according to the sales statistic project information, and outputting statistic result data.

Description

technical field [0001] The invention relates to the field of data processing, in particular to a sales information statistics method. Background technique [0002] In today's highly developed information technology, the Internet has already become an indispensable part of daily life, online sales have become an important sales channel, and online shopping has increasingly become an important form of shopping. [0003] With the rise of online shopping platforms, the sales scope of merchants has gradually expanded, and there are more and more factors affecting sales. The consumer group of a traditional store is the consumers in the location where the store is located, and the analysis of product sales only needs to count the product sales according to the season. However, the consumers of online shopping platforms are not limited to the location of the store, and the consumer groups are distributed all over the country. Due to the large gap between the needs of the northern a...

AI Technical Summary

Problems solved by technology

However, the consumers of online shopping platforms are no longer limited to the location of the store, and the consumer groups are distributed all over the country. Due to the large gap between the needs of the northern and southern consumer groups in my country, merchants cannot clearly and accurately analyze the consumption situation of users, which will directly affect sales.

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