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Big data analysis method for performing material preparation strategy guidance based on sales volume

An analysis method and big data technology, applied in the field of big data processing, can solve problems such as reducing inventory risk, and achieve the effect of improving production efficiency, occupying less resources and saving labor costs

Inactive Publication Date: 2017-08-22
温州市鹿城区中津先进科技研究院
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AI Technical Summary

Problems solved by technology

[0002] At present, the formulation of material preparation strategies for production units is often carried out based on existing experience, which is extremely blind. If we can analyze and guide enterprises to formulate material preparation strategies based on the sales data of e-commerce platforms, it will greatly reduce inventory risks. Therefore, using fast and reliable Analytical tools will bring great convenience

Method used

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Embodiment Construction

[0011] The present invention will be further described below in conjunction with specific examples.

[0012] The big data analysis method based on the sales volume to guide the material preparation strategy includes the following steps: (1) according to the given product classification list, search and grab the product display pictures corresponding to the product classification lists of the e-commerce platform; (2) read For the product document corresponding to the product display picture, when the product document has document information that is mutually exclusive with the keyword list, the product display picture will be excluded as a non-product of this category, and all product display pictures will be used as the processing picture set; (3) will process Each picture in the picture set is divided into several areas, and the RGB value change curve of each area is drawn, and the area with a gentle RGB value change curve and the smallest pixel RGB value limit difference is s...

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Abstract

The invention provides a big data analysis method for performing material preparation strategy guidance based on the sales volume. The big data analysis method comprises the following steps that (1) product display images are grabbed; (2) the products out of the class are eliminated; (3) each image is partitioned, and the change curve of the pixel point RGB value of each area is drawn; (4) the RGB mean of each area is calculated so as to obtain the RGB mean of the image; (6) the images of which the RGB mean is within the preset threshold are seen as the images of the same color; (7) the store sales volume data corresponding to the images of the same color are read; (8) the store sales volume data corresponding to the images of the color of each store are added so as to obtain the reproduction value of the corresponding product; (9) the time length value required for reaching the reproduction value of the corresponding product is acquired; and (10) the preferred value of material preparation within the planned time is calculated. The beneficial effects of the big data analysis method are that the analysis tool is fast in response and the result is reliable; and resource occupation is less and the labor cost is saved.

Description

technical field [0001] The invention relates to the technical field of big data processing, and specifically refers to a big data analysis method for guiding material preparation strategies based on sales volume. Background technique [0002] At present, the formulation of material preparation strategies for production units is often carried out based on existing experience, which is extremely blind. If we can analyze and guide enterprises to formulate material preparation strategies based on the sales data of e-commerce platforms, it will greatly reduce inventory risks. Therefore, using fast and reliable Analytical tools will bring great convenience. Contents of the invention [0003] The purpose of the present invention is to provide a big data analysis method for guiding material preparation strategies based on sales volume in order to solve the above-mentioned problems in the prior art. [0004] Above-mentioned invention purpose realizes by following scheme: [0005]...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06
CPCG06Q10/06313G06Q10/0637
Inventor 王振宇杨克杰
Owner 温州市鹿城区中津先进科技研究院
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