E-commerce platform commodity sales volume and trading volume statistical monitoring method
A technology of e-commerce platform and turnover, which is applied in marketing, computing, electronic digital data processing, etc., and can solve problems such as inability to sell products better and inconvenient marketing strategies
Pending Publication Date: 2021-11-19
青岛汇铭信息技术有限公司
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Problems solved by technology
[0003] In the existing technology, e-commerce sellers know the sales volume and GMV of competing products in a short period of time for the products under their own category, and it is not convenient to formulate their own marketing strategies according to the sales situation, so that they cannot sell products better
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[0018] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention.
[0019] refer to figure 1 , a method for statistical monitoring of commodity sales and turnover on an e-commerce platform. This method is applicable to the data monitoring of any e-commerce platform in markets such as JD.com and Tmall. This embodiment takes JD.com as an example, specifically traversing in the commodity pool Its internal commodities: obtain the sales total of the corresponding number of days set from the Jingdong Kepler interface, wherein the value of the corresponding number of days can be set by the user according to the needs of the user. In this embodiment, the preferred setting is 30 days. Obtain the total sales volume of the past 30 days from the...
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The invention relates to the technical field of e-commerce, in particular to an e-commerce platform commodity sales volume and trading volume statistical monitoring method, which comprises the following steps: acquiring a set total sales volume of corresponding days from an e-commerce open platform interface, warehousing the set total sales volume of corresponding days, performing data processing, and calculating commodity single-day sales volume data; calling a commodity promotion query interface of the e-commerce open platform to obtain the total order introduction amount and the total commission amount of the set corresponding days, merging the total order introduction amount and the total commission amount into a database, calculating the order introduction amount and the commission amount of one day, merging the commodity single-day sales volume data, the single-day GMV data, and the order introduction amount and the commission amount data of one day, and performing front-end output. A user can count the sales volume and the GMV data of each commodity every day or every month, further can understand the sales condition of the commodities in detail, formulate own marketing strategies at any time, more reasonably price the commodities and improve the sales volume of the commodities, and the method is suitable for wide popularization.
Description
technical field [0001] The invention relates to the technical field of e-commerce, in particular to a statistical monitoring method for the sales volume and turnover of commodities on an e-commerce platform. Background technique [0002] E-commerce platform, commonly known as e-commerce platform, broadly speaking, is a collection of electronic technical means used by various participants in business activities and supporting enterprises to carry out transaction activities. In a narrow sense, an e-commerce platform refers to enterprises, consumers, banks, governments, etc. on the basis of the Internet and other networks, in order to achieve the goals of enterprise e-commerce activities and meet the needs of production, sales, service and other production and management of enterprises. , support the external business cooperation of enterprises, comprehensively improve the level of enterprise informatization from the levels of operation, management and decision-making, and prov...
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IPC IPC(8): G06Q30/02G06F16/2458G06F16/248G06F16/25
CPCG06Q30/0201G06F16/2462G06F16/248G06F16/252
Inventor 高景洋
Owner 青岛汇铭信息技术有限公司