Internet-based e-commerce platform data analysis and decision-making system

An e-commerce platform and data analysis technology, applied in the field of data decision-making analysis system, can solve problems such as low pertinence and low transaction success rate, and achieve the effect of convenient shopping, satisfactory e-commerce platform, and concise processing results

Pending Publication Date: 2021-08-10
苏州扎堆网络科技有限公司
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AI Technical Summary

Problems solved by technology

However, the pertinence is often low, resulting in a low transaction success rate

Method used

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  • Internet-based e-commerce platform data analysis and decision-making system

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Experimental program
Comparison scheme
Effect test

Embodiment

[0032] Embodiment: a kind of Internet-based e-commerce platform data analysis decision-making system comprises

[0033] Data collection module: collect user data of each sub-platform in real time from the Internet, where the user data includes the user's transaction habits, including purchase time, purchased goods, purchase quantity and payment amount;

[0034] Data preprocessing module: perform format conversion, review and summary of the collected user information, and perform simple preliminary processing on the collected user data;

[0035] Data storage module: store all the data of the data processing module in the hard disk, and regularly upload it to the cloud disk or network disk for storage to prevent data loss;

[0036] Data analysis module: including visual analysis unit, data mining unit, predictive analysis unit, semantic analysis engine unit and data quality management unit. The visual analysis unit is for visual processing of data, and data visualization is main...

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Abstract

The invention discloses an internet-based e-commerce platform data analysis and decision-making system. The system comprises a data collection module, a data preprocessing module, a data storage module, a result feedback module, a result visualization display module, a correction module and a data index evaluation module. According to the invention, data analysis is carried out on browsing and shopping information of the user in the e-commerce platform, then targeted pushing is carried out on the user according to the analysis result, and then deviation correction is carried out on the data analysis result with low matching degree according to the acceptance of the user on pushing, so that the accuracy of the data analysis system is effectively improved, the user shopping is more convenient and faster, and then the user is more satisfied with the e-commerce platform.

Description

technical field [0001] The invention relates to the technical field of data analysis, in particular to a data decision analysis system in the Internet. Background technique [0002] Compared with the traditional retail industry, the biggest feature of e-commerce is that everything can be monitored and improved through digitization. Through the data, you can see where users come from, how to organize products to achieve a good conversion rate, how efficient your advertising is, and so on. Every little change based on data analysis is to improve your ability to make money a little bit, so the data analysis of e-commerce websites is particularly important. [0003] When a user makes a purchase on an e-commerce website, he changes from a potential customer to a valuable customer of the website. E-commerce websites generally store user transaction information, including purchase time, purchased goods, purchase quantity, payment amount, etc., in their own databases, so for these...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02G06Q30/06G06F16/2458G06F16/26
CPCG06Q30/0201G06Q30/0601G06F16/2465G06F16/26
Inventor 赵岩荆海燕
Owner 苏州扎堆网络科技有限公司
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