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Shopping list customization method based on big data

A shopping list and big data technology, applied in data processing applications, commerce, instruments, etc., can solve problems such as troublesome discounts, achieve the effect of meeting shopping needs, realizing diversity, and improving flexibility

Inactive Publication Date: 2019-10-15
CHONGQING TECH & BUSINESS INST
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] The invention provides a shopping list customization method based on big data to solve the troublesome problem that users currently have when comparing the discount strength of discounted products in major supermarkets

Method used

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  • Shopping list customization method based on big data

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Embodiment Construction

[0040] In order to enable those skilled in the art to better understand the technical solutions in the embodiments of the present invention, and to make the above-mentioned purposes, features and advantages of the embodiments of the present invention more obvious and understandable, the following describes the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings For further detailed explanation.

[0041] In the description of the present invention, unless otherwise specified and limited, it should be noted that the term "connection" should be understood in a broad sense, for example, it can be a mechanical connection or an electrical connection, or it can be the internal communication of two elements, it can be Directly connected or indirectly connected through an intermediary, those skilled in the art can understand the specific meanings of the above terms according to specific situations.

[0042] see figure 1 , is a ...

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Abstract

The invention provides a shopping list customization method based on big data. According to the invention, the related information of discounted commodities in a certain supermarket can be displayed.Moreover, the related information of the commodities with the same commodity names as the discount commodities in the supermarket and other supermarkets can be compared with the discount commodities for display. Therefore, a user can quickly judge whether the discount activity of the commodities in the corresponding supermarkets is real and reliable or not. The supermarket with the maximum discount strength can be found out.

Description

technical field [0001] The invention belongs to the field of electronic commerce, and in particular relates to a shopping list customization method based on big data. Background technique [0002] With the continuous development of e-commerce, many supermarket chains have gradually developed their own online shopping platforms. After a user places an order on the online shopping platform, they will notify the physical supermarkets nearby to place the order according to the location information in the order. The goods are packaged and delivered to the user's home. In order to attract users to shop, the online shopping platforms of various supermarket chains often launch discounts for certain products. It is very troublesome for users to compare the discounts of various discounted products on the major online shopping platforms. Contents of the invention [0003] The present invention provides a shopping list customization method based on big data to solve the current troub...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/06
CPCG06Q30/0621
Inventor 文武
Owner CHONGQING TECH & BUSINESS INST
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