Price data statistics decision-making analysis method for e-commence platform

A technology for data statistics and decision analysis, applied in market data collection, market forecasting, marketing, etc., to solve problems such as insufficient pricing methods

Inactive Publication Date: 2016-11-09
杭州呼巴网络技术有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The actual technical problem to be solved in the present invention is to provide a statistical decision-making method for price data of the e-commerce platform in view of the imperfect pricing methods in the current e-commerce

Method used

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  • Price data statistics decision-making analysis method for e-commence platform

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Embodiment Construction

[0021] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0022] Such as figure 1 As shown, a statistical decision analysis method for price data of an e-commerce platform is characterized by the following steps:

[0023] (1) Collect data on similar products that will be put into the product. The data collection time is set to 30 days. The data types include the number of viewers, the number of buyers, the sales quantity, the sales price and the cost of the product. Similar products have the characteristics of the input product and have Very good reference effect, the data is used to analyze the sales of similar products at different prices within a specified time;

[0024] (2) Establish a data table in the database, classify according to the data type, store the data into the corresponding commodity type, and perform statistics and addition every day to form the basis for data analysis and query; ...

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Abstract

The invention relates to the field of e-commence and discloses a price data statistics decision-making analysis method for an e-commence platform. The method comprises the following steps of (1) performing data collection on similar commodities; (2) storing data in a database and performing classification; (3) making a chart after data statistics is finished; (4) performing analysis according to the chart made in the step (3); and (5) making a decision-making scheme by taking sales price as a variable according to an analytic result in the step (4). According to the method, the data of the similar commodities is subjected to collection and statistics, similar commodity data and chart of the commodities are established, and the decision-making scheme is made by analyzing the data, so that merchants have good price indexes for reference before inputting the commodities in the e-commerce platform.

Description

technical field [0001] The invention relates to the field of electronic commerce, in particular to a statistical decision analysis method for price data of an electronic commerce platform. Background technique [0002] In recent years, under the environment that the country is vigorously promoting the integration of informatization and industrialization, my country's service industry and enterprises have accelerated the pace of informatization construction, and the demand for e-commerce applications has become increasingly strong. Many traditional industries have achieved good results in developing e-commerce applications. Rural informatization has made gratifying achievements, innovative e-commerce application models have emerged, and a number of Taobao stores have emerged. Some villages have developed characteristic e-commerce applications based on their own resources and market advantages. Traditional retailers have entered e-commerce one after another. Other industries...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02
CPCG06Q30/0201G06Q30/0206
Inventor 倪明仿
Owner 杭州呼巴网络技术有限公司
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