Commodity customized method based on big data processing

A big data and product technology, applied in the field of product customization based on big data processing, can solve problems such as difficult to guarantee the stability of results, too simple evaluation system, complex models, etc., to achieve stable and reliable communication methods, reduce subjective influence, and improve the calculation process simple effect

Inactive Publication Date: 2016-10-12
温州市鹿城区中津先进科技研究院
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  • Application Information

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Problems solved by technology

In order to evaluate products on the basis of sales data, people have designed a variety of mathematical models. Some evaluation systems are too simple, and only list the sales of products with specific specifications for each brand. Because there may be existing on all major e-commerce platforms Abnormal trading behaviors such as brushing orders, sales data are often distorted, and its guiding significance for production and operation activities is very limited
Some models are too complex, and the system itself has many intermediate parameters that may introduce interference signals, and some intermedia

Method used

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Example Embodiment

[0013] The present invention will be further described below in conjunction with specific embodiments:

[0014] The method of product customization based on big data processing, and the method of product customization based on big data collection and processing, are characterized by the following steps: (1) Automatic search by product name keywords to obtain the name keywords on an e-commerce platform All corresponding items; (2) Select the item obtained in step (1) with the highest sales volume within a given period as the target product, and use the first a specification parameter of the target product by search volume as the logical calculation condition, Logic and calculation are performed on all the remaining items, and the calculation results of the specification parameters are true. The set of items is regarded as the equivalent product group of the target product; (3) Obtain the target product and its equivalent product group within a given time limit on the e-commerce platfo

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Abstract

The invention provides a commodity customized method based on big data processing. The method comprises the following steps that (1) all items corresponding to a name keyword are obtained; (2) an object commodity is selected, logics and computing are carried out on all the residual items, and commodities whose results are true serve as an equivalent commodity group; (3) an acceptable sale volume is obtained; (5) data of all e-commerce platforms within a given range is processed, and the acceptable sale volumes of the platforms are added to obtain a total effectively sale volume; (6) the customization amount is obtained and sent to a processing scheduling system; (7) the processing scheduling system processes certain commodity according to the customization amount; and (8) the processing scheduling system sends real-time processing information for checking. The commodity customized method has the advantages that an information collection mathematical model is simple and reasonable, the computing speed is high, and occupied resource is fewer; and the processing information can be displayed in real time, a demanding end is tightly and effectively combined with a supply end, and the communication manner is stable and reliable.

Description

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Claims

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Application Information

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Owner 温州市鹿城区中津先进科技研究院
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