Big data e-commerce shopping guide system

An e-commerce and big data technology, applied in the field of business shopping guides, can solve problems such as complex structure levels, incomplete grasp of flow data, loss of platform control effects, etc., and achieve the effects of improving protection, increasing sales, and expanding publicity

Inactive Publication Date: 2020-02-21
温州红秀招信息科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, most of the shopping guide platforms in the existing market do not have a comprehensive grasp of consumers' purchase needs, purchase intentions, and product flow data. unable to collect in time

Method used

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  • Big data e-commerce shopping guide system
  • Big data e-commerce shopping guide system
  • Big data e-commerce shopping guide system

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Embodiment Construction

[0029] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments.

[0030] Reference Figure 1-5 , A big data e-commerce shopping guide system, including a data acquisition module, the data acquisition module is connected with the business platform module through signal connection, and the business platform module is signally connected with the data storage module to connect the data information in the business platform module Transfer to the data storage module for storage. At the same time, the business platform module and the promotion module realize signal connection. The business platform module includes a mobile base station module. The mobile base station module receives the data information collected...

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Abstract

The invention relates to the technical field of business shopping guide, in particular to a big-data e-commerce shopping guide system. The big-data e-commerce shopping guide system includes a data acquisition module, the data acquisition module is connected with the business platform module in a signal connection mode. Meanwhile, the business platform module is in signal connection with the data storage module; data information in the business platform module is transmitted to the data storage module to be stored; the business platform module is in signal connection with the propaganda module;the business platform module comprises a mobile base station module. The mobile base station module receives the data information collected by the data acquisition module; the data is transmitted tothe cloud big database module through the wireless transmission module to be processed, the processed data is transmitted to the internal server module, and the data information is transmitted to theinternal computer control module through the internal server. Propaganda strength on commodities can be improved, and meanwhile the sales volume of the commodities is increased.

Description

Technical field [0001] The invention relates to the technical field of commercial shopping guides, in particular to a system for big data e-commerce shopping guides. Background technique [0002] Literally speaking, shopping guide is the process of guiding customers to make purchases. Consumers often have many questions when entering the store, which hinders the realization of purchase behavior. Shopping guide is to relieve consumers' psychological doubts and help consumers to make purchases. [0003] However, most shopping guide platforms in the existing market have incomplete grasp of consumer purchase needs, purchase intentions, and commodity flow data. At the same time, the structure level is too complicated, causing the control of the platform to lose effectiveness and the opinions of consumers Unable to collect in time. Summary of the invention [0004] The purpose of the present invention is to solve the shortcomings existing in the prior art, and propose a big data e-commer...

Claims

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Application Information

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IPC IPC(8): G06Q30/02
CPCG06Q30/0201G06Q30/0241G06Q30/0281
Inventor 何双均陈时亮彭书友
Owner 温州红秀招信息科技有限公司
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