Big data analysis method based on Southeast Asia cross-border e-commerce platform

An e-commerce platform and analysis method technology, applied in the field of cross-border e-commerce, can solve the problems of lack of big data analysis methods and the inability to formulate sales models relatively quickly, and achieve the realization of big data analysis process, high practicability, and analysis effectiveness. Good results

Pending Publication Date: 2022-04-01
亿橡信息科技(苏州)有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, many cross-border e-commerce platforms do not have more efficient big data analysis methods, so they cannot quickly formulate sales models to meet the purchase needs of different customers in different time periods

Method used

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Embodiment Construction

[0017] The following will clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative work fall within the protection scope of the present invention:

[0018] A big data analysis method based on a cross-border e-commerce platform in Southeast Asia, including the following steps, first collect raw data information from the cross-border e-commerce platform; in this embodiment, in order to facilitate the analysis of the required data, the collected raw data The information includes product information, purchase time information, price information, customer geographical distribution information, customer gender information, the industry information, etc., where the product infor...

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PUM

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Abstract

The invention discloses a big data analysis method based on a Southeast Asia cross-border e-commerce platform. The method comprises the following steps: acquiring original data information from the cross-border e-commerce platform; the original data information is classified into a plurality of different data sets after being processed; analyzing the data set, and performing keyword index marking on the data of the data set class; and a search model is established, and keywords of different data sets are substituted, so that the required data set can be obtained. The big data analysis method based on the Southeast Asia cross-border e-commerce platform is convenient to use, the big data analysis process of the e-commerce platform is effectively realized, the analysis efficiency is high, the analysis effectiveness is good, various required key data can be efficiently obtained, and thus the practicability is high.

Description

technical field [0001] The invention relates to a big data analysis method based on a cross-border e-commerce platform in Southeast Asia, and relates to the technical field of cross-border e-commerce. Background technique [0002] Cross-border e-commerce refers to an international business activity in which transaction subjects belonging to different customs borders conclude transactions through e-commerce platforms, conduct electronic payment settlements, and deliver goods through cross-border e-commerce logistics and off-site warehousing to complete transactions. . Cross-border e-commerce is developed based on the Internet. Compared with physical space, cyberspace is a new space, a virtual but objective world composed of URLs and passwords. The unique value standards and behavior patterns in cyberspace have profoundly affected cross-border e-commerce, making it different from traditional transaction methods and presenting its own characteristics. At present, many cross-b...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02G06F16/33G06F16/35G06K9/62
Inventor 王晨
Owner 亿橡信息科技(苏州)有限公司
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