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Novel commodity inventory data system based on big data analysis

A database and big data technology, applied in the field of new commodity inventory data system, can solve the problems of reducing the income of the mall, affecting the sales of commodities in the mall, slowing down the circulation of funds in the mall, etc., so as to reduce the hoarding of commodities, realize information management, and ensure the quality of commodities Effect

Inactive Publication Date: 2015-05-13
XIAN ELITE ELECTRONICS IND
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

With the continuous expansion of the scale of shopping malls, it is more difficult to manage the inventory of shopping malls. Due to the inability to know the inventory information of shopping malls in a timely manner, the phenomenon of shortage of goods or hoarding of goods is serious, which slows down the circulation of funds in shopping malls and affects the sales of goods in shopping malls. , reducing the mall's revenue

Method used

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  • Novel commodity inventory data system based on big data analysis

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Embodiment Construction

[0010] A new type of commodity inventory data system based on big data analysis proposed by the present invention, as shown in the figure, collects commodity supplier information to form a commodity supplier database, and collects commodity warehousing and outbound information to form commodity information Database, through the inventory data analysis system to analyze the collected commodity supplier database and commodity information database, get the inventory information table, and use the inventory information table to reflect the out-of-stock commodities, expired commodities and hoarded commodities in real time, and remind the mall managers in time Adjust inventory products, arrange purchases and deal with expired products, realize information management of store inventory, reduce product hoarding, ensure product quality, and increase store sales profits.

[0011] The information in the commodity supplier database includes supplier name, supplier address, supplier number ...

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Abstract

The invention provides a novel commodity inventory data system based on big data analysis. Commodity information is collected, a data analysis system is adopted to analyze and process data to obtain an inventory information table, stockout commodities, out-of-data commodities and cornered commodities are reflected in real time through the inventory information table, market managers are reminded of regulating inventory commodities in time, arranging purchases and processing the out-of-data commodities. Through the technology, the informatization management of market inventories is realized, a commodity cornering phenomenon is reduced, commodity quality is guaranteed, a basis is provided for the market managers, and higher profit are brought for markets.

Description

technical field [0001] The invention belongs to the technical field of marketing, and in particular relates to a novel commodity inventory data system based on big data analysis. Background technique [0002] With the development of Internet technology, data is rapidly expanding and becoming larger. How to apply data determines the future development of enterprises. Although enterprises may not realize the hidden dangers of problems caused by explosive data growth, as time goes by , People will increasingly realize the importance of data to enterprises. The era of big data poses new challenges to human's ability to control data, and also provides unprecedented space and potential for people to obtain deeper and more comprehensive insights. With the continuous expansion of the scale of shopping malls, it is more difficult to manage the inventory of shopping malls. Due to the inability to know the inventory information of shopping malls in a timely manner, the phenomenon of s...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/08
CPCG06Q10/08
Inventor 郑志军郝小博
Owner XIAN ELITE ELECTRONICS IND
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