CN110889723B - Commodity information management method and system based on big data analysis - Google Patents
Commodity information management method and system based on big data analysis Download PDFInfo
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- CN110889723B CN110889723B CN201911149282.0A CN201911149282A CN110889723B CN 110889723 B CN110889723 B CN 110889723B CN 201911149282 A CN201911149282 A CN 201911149282A CN 110889723 B CN110889723 B CN 110889723B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
- G06Q30/0203—Market surveys; Market polls
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Abstract
The invention relates to the technical field of commodity information management, and discloses a commodity information management method and system based on big data analysis, comprising the following steps: the local server is provided with commodity information management system software and the cloud server is operated, wherein the commodity information management system comprises a commodity sales target management system, a commodity market adjustment large data analysis system and a commodity display management system.
Description
Technical Field
The invention relates to the technical field of commodity information management, in particular to a commodity information management method and system based on big data analysis.
Background
The invention patent with the authorized bulletin number of CN104318375B discloses a small supermarket commodity information management system, which comprises a commodity management module for commodity information management and commodity type management; the commodity flow management module is used for commodity input management, warehouse-out management and supplier management; a system management module for user management and password modification; the commodity management module, the commodity flow management module and the system management module all apply an SSH integration architecture, the Hibernate serves as a data persistence layer, and the addition, modification, deletion and query operation of the object data table are processed; spring acts as an intermediate layer and persists as a business of the controller by relying on the relation of injection of I0C; the Action controllers in the Struts framework interoperate with JSP pages through this service.
Although the invention realizes the informatization management of the supermarket, reduces errors in management, improves the working efficiency, and plays an important role in informatization management of the supermarket; however, the above-mentioned patent does not give a solution how to improve the sales capacity of the commodity.
Disclosure of Invention
(one) solving the technical problems
Aiming at the defects of the prior art, the invention provides a commodity information management method and system based on big data analysis, which are used for acquiring big data of commodity information by market adjustment analysis on commodities with sales targets, and carrying out display adjustment on the commodities according to analysis and calculation conclusion of the market adjustment big data so as to achieve the technical purpose of improving the commodity sales capacity.
(II) technical scheme
In order to achieve the above purpose, the present invention provides the following technical solutions:
a commodity information management method based on big data analysis comprises the following steps:
step one: running commodity information management system software on a local server, setting sales targets of commodities A, B, C, … and N in a commodity sales target management system of a commodity information management system, and synchronously uploading the sales targets of the set commodities A, B, C, … and N to a cloud server;
creating and storing market-note lists of commodities A, B, C, … and N in a commodity market-note management system of the commodity information management system, and synchronously uploading the created commodity market-note lists to a cloud server;
step two: the commodity marketing management system of the second intelligent terminal accesses the cloud server by a commodity marketing manager, receives marketing tasks of commodities A, B, C, … and N pushed by the commodity marketing management system of the cloud server, starts commodity marketing, creates marketing data records and marketing event records on commodity marketing management system software, and synchronously uploads the created marketing data records and the created marketing event records to the cloud server;
step three: the commodity marketing big data analysis system of the local server accesses the cloud server, acquires the acquired commodity marketing big data, analyzes, calculates and processes the commodity marketing big data, gives marketing conclusions of commodities A, B, C, … and N, synchronously uploads the marketing conclusions to the cloud server, and transmits the marketing conclusions to the commodity display management system of the commodity information management system running on the local server;
step four: the commodity display management system of the commodity information management system on the local server performs display management on the commodities A, B, C, … and N according to market adjustment conclusions of the commodities A, B, C, … and N, and specifically comprises the steps of creating a new display record of the commodities, editing a historical display record of the commodities, and uploading the created new display record of the commodities and the edited historical display record of the commodities to the cloud server synchronously;
step five: the commodity display specialist accesses the cloud server on the commodity display management system of the third intelligent terminal, receives the display tasks of the commodities A, B, C, … and N pushed by the commodity display management system of the cloud server, and then starts commodity display operation.
Further, the second step further includes: the company staff accesses the cloud server on the commodity sales target management system of the first intelligent terminal or the PC terminal, checks the established company targets of all levels, the daily sales targets and the monthly sales targets of the set commodities A, B, C, … and N, and supports setting the personal challenging daily sales targets and the monthly sales targets of the staff.
A commodity information management system based on big data analysis, comprising: the system comprises a local server and a cloud server, wherein the local server is provided with commodity information management system software and the cloud server is operated, and the commodity information management system comprises a commodity sales target management system, a commodity market adjustment big data analysis system and a commodity display management system;
further comprises: a first intelligent terminal or PC terminal installed and operated with commodity sales target management system software, a second intelligent terminal installed and operated with commodity market adjustment management system software, and a third intelligent terminal installed and operated with commodity display management system software;
the local server and the cloud server are in communication connection through network communication equipment;
the first intelligent terminal and the cloud server are in communication connection through a wireless public network;
the PC terminal and the cloud server are in communication connection through network communication equipment;
the second intelligent terminal is in communication connection with the cloud server through a wireless public network;
and the third intelligent terminal is in communication connection with the cloud server through a wireless public network.
Further, the commodity sales target management system is used for displaying: established corporate targets of various levels, daily sales targets and monthly sales targets of the set commodities A, B, C, …, N;
the commercial modulation management system has the functions that: creating a market-note list of commodities A, B, C, … and N, storing the created commodity market-note list, performing market-note according to the created market-note list, creating a market-note data record and creating a market-note event record;
the commodity market-tuning big data analysis system is used for analyzing and processing market-tuning data of commodities A, B, C, … and N and giving commodity market-tuning conclusion;
the merchandise display management system functions as: creating a commodity display record, checking the commodity display record and editing the commodity display record; wherein creating the merchandise display record specifically includes: entering a new page, selecting a store where a show is located, inputting a show subject, selecting a show position, setting the effective time of the show, selecting a label for promotion and show, adding a show photo, adding show commodities A, B, C, … and N, storing a show record, and submitting the show record.
(III) beneficial technical effects
Compared with the prior art, the invention has the following beneficial technical effects:
1. according to the invention, the commodity sales target is established on the commodity sales target management system of the commodity information management system of the local server, the commodity market adjustment management is realized on the commodity market adjustment management system, the market adjustment data acquired by calculation on the commodity market adjustment data analysis system are provided, the commodity market adjustment conclusion is given, and the commodity is subjected to display adjustment on the commodity display management system, so that the technical effect of improving the commodity sales capacity is realized.
2. According to the invention, commodity information management system software is operated on the local server to carry out electronic management on commodities, and commodity management data are synchronously uploaded to the cloud server, so that staff can access the cloud server through the system software client on the intelligent terminal to obtain task allocation of commodity management links, and the technical effect of commodity informationized management is realized.
Detailed Description
A commodity information management system based on big data analysis, comprising: the system comprises a local server and a cloud server, wherein the local server is provided with commodity information management system software and the cloud server is operated, and the commodity information management system comprises a commodity sales target management system, a commodity market adjustment big data analysis system and a commodity display management system;
the commodity sales target management system is mainly used for displaying: established corporate targets of various levels, daily sales targets and monthly sales targets of the set commodities A, B, C, …, N;
the commercial modulation management system has the main functions that: creating a market-note list of commodities A, B, C, … and N, storing the created commodity market-note list, performing market-note according to the created market-note list, creating a market-note data record and creating a market-note event record;
the commodity market-tuning big data analysis system is mainly used for analyzing and processing market-tuning data of commodities A, B, C, … and N and giving commodity market-tuning conclusions;
the main functions of the merchandise display management system are: creating a commodity display record, checking the commodity display record and editing the commodity display record; wherein creating the merchandise display record specifically includes: entering a newly added page, selecting a store where a show is located, inputting a show subject, selecting a show position, setting the effective time of the show, selecting a label for promotion and show, adding a show photo, adding show commodities A, B, C, … and N, storing a show record, and submitting the show record;
further comprises: a first intelligent terminal or PC terminal installed and operated with commodity sales target management system software, a second intelligent terminal installed and operated with commodity market adjustment management system software, and a third intelligent terminal installed and operated with commodity display management system software;
the local server and the cloud server are in communication connection through network communication equipment;
the first intelligent terminal and the cloud server are in communication connection through a wireless public network;
the PC terminal and the cloud server are in communication connection through network communication equipment;
the second intelligent terminal is in communication connection with the cloud server through a wireless public network;
and the third intelligent terminal is in communication connection with the cloud server through a wireless public network.
A commodity information management method based on big data analysis comprises the following steps:
step one: running commodity information management system software on an operating system of a local server, setting daily sales targets and monthly sales targets of commodities A, B, C, … and N in a commodity sales target management system of the commodity information management system, and synchronously uploading the daily sales targets and monthly sales targets of the set commodities A, B, C, … and N to a cloud server;
creating a market-note list of commodities A, B, C, … and N in a commodity market-note management system of the commodity information management system, storing the created commodity market-note list, and synchronously uploading the created commodity market-note list to a cloud server;
step two: a company employee accesses a cloud server on a commodity sales target management system of a first intelligent terminal or a PC terminal, checks established company targets of various levels, set daily sales targets and monthly sales targets of commodities A, B, C, … and N, and supports setting of individual challenging daily sales targets and monthly sales targets of the employee;
the commodity marketing management system of the second intelligent terminal accesses the cloud server by a commodity marketing manager, receives marketing tasks of commodities A, B, C, … and N pushed by the commodity marketing management system of the cloud server, starts commodity marketing, creates marketing data records and marketing event records on commodity marketing management system software, and synchronously uploads the created marketing data records and the created marketing event records to the cloud server;
step three: the commodity marketing big data analysis system of the local server accesses the cloud server, acquires the acquired commodity marketing big data, analyzes, calculates and processes the commodity marketing big data, gives marketing conclusions of commodities A, B, C, … and N, synchronously uploads the marketing conclusions to the cloud server, and transmits the marketing conclusions to the commodity display management system of the commodity information management system running on the local server;
step four: the commodity display management system of the commodity information management system on the local server performs display management on the commodities A, B, C, … and N according to market adjustment conclusions of the commodities A, B, C, … and N, and specifically comprises the steps of creating a new display record of the commodities, editing a historical display record of the commodities, and uploading the created new display record of the commodities and the edited historical display record of the commodities to the cloud server synchronously;
step five: the commodity display specialist accesses the cloud server on the commodity display management system of the third intelligent terminal, receives the display tasks of the commodities A, B, C, … and N pushed by the commodity display management system of the cloud server, and then starts commodity display operation.
Claims (3)
1. The commodity information management method based on big data analysis is characterized by comprising the following steps:
step one: running commodity information management system software on a local server, setting sales targets of commodities A, B, C, … and N in a commodity sales target management system of a commodity information management system, and synchronously uploading the sales targets of the set commodities A, B, C, … and N to a cloud server;
creating and storing market-note lists of commodities A, B, C, … and N in a commodity market-note management system of the commodity information management system, and synchronously uploading the created commodity market-note lists to a cloud server;
step two: the commodity marketing management system of the second intelligent terminal accesses the cloud server by a commodity marketing manager, receives marketing tasks of commodities A, B, C, … and N pushed by the commodity marketing management system of the cloud server, starts commodity marketing, creates marketing data records and marketing event records on commodity marketing management system software, and synchronously uploads the created marketing data records and the created marketing event records to the cloud server;
step three: the commodity marketing big data analysis system of the local server accesses the cloud server, acquires the acquired commodity marketing big data, analyzes, calculates and processes the commodity marketing big data, gives marketing conclusions of commodities A, B, C, … and N, synchronously uploads the marketing conclusions to the cloud server, and transmits the marketing conclusions to the commodity display management system of the commodity information management system running on the local server;
step four: the commodity display management system of the commodity information management system on the local server performs display management on the commodities A, B, C, … and N according to market adjustment conclusions of the commodities A, B, C, … and N, and specifically comprises the steps of creating a new display record of the commodities, editing a historical display record of the commodities, and uploading the created new display record of the commodities and the edited historical display record of the commodities to the cloud server synchronously;
step five: the commodity display specialist accesses the cloud server on the commodity display management system of the third intelligent terminal, receives the display tasks of the commodities A, B, C, … and N pushed by the commodity display management system of the cloud server, and then starts commodity display operation.
2. The merchandise information management method according to claim 1, wherein the step two further comprises: the company staff accesses the cloud server on the commodity sales target management system of the first intelligent terminal or the PC terminal, checks the established company targets of all levels, the daily sales targets and the monthly sales targets of the set commodities A, B, C, … and N, and supports setting the personal challenging daily sales targets and the monthly sales targets of the staff.
3. A commodity information management system based on big data analysis, comprising: the system comprises a local server and a cloud server, wherein the local server is provided with commodity information management system software and the cloud server is operated, and the commodity information management system comprises a commodity sales target management system, a commodity market adjustment big data analysis system and a commodity display management system;
further comprises: a first intelligent terminal or PC terminal installed and operated with commodity sales target management system software, a second intelligent terminal installed and operated with commodity market adjustment management system software, and a third intelligent terminal installed and operated with commodity display management system software;
the local server and the cloud server are in communication connection through network communication equipment;
the first intelligent terminal and the cloud server are in communication connection through a wireless public network;
the PC terminal and the cloud server are in communication connection through network communication equipment;
the second intelligent terminal is in communication connection with the cloud server through a wireless public network;
the third intelligent terminal is in communication connection with the cloud server through a wireless public network;
wherein, commodity sales target management system is used for showing: established corporate targets of various levels, daily sales targets and monthly sales targets of the set commodities A, B, C, …, N;
the commercial modulation management system has the functions that: creating a market-note list of commodities A, B, C, … and N, storing the created commodity market-note list, performing market-note according to the created market-note list, creating a market-note data record and creating a market-note event record;
the commodity market-tuning big data analysis system is used for analyzing and processing market-tuning data of commodities A, B, C, … and N and giving commodity market-tuning conclusion;
the merchandise display management system functions as: creating a commodity display record, checking the commodity display record and editing the commodity display record; wherein creating the merchandise display record specifically includes: entering a new page, selecting a store where a show is located, inputting a show subject, selecting a show position, setting the effective time of the show, selecting a label for promotion and show, adding a show photo, adding show commodities A, B, C, … and N, storing a show record, and submitting the show record.
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Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1324040A (en) * | 2000-02-23 | 2001-11-28 | 株式会社东芝 | Data analyzing method and data analyzing system and the recording medium |
WO2003083740A1 (en) * | 2002-03-28 | 2003-10-09 | Fujitsu Limited | Sales supporting method and program |
JP2004054878A (en) * | 2002-07-23 | 2004-02-19 | Kyo Yamauchi | Consumers' purchase trend management system |
JP2004118453A (en) * | 2002-09-25 | 2004-04-15 | Toshiba Lighting & Technology Corp | Salesroom integrated monitoring system |
CN105117944A (en) * | 2015-09-07 | 2015-12-02 | 黄育斌 | Commodity sales information system |
CN105590237A (en) * | 2015-12-18 | 2016-05-18 | 齐鲁工业大学 | Application of high utility sequential pattern with negative-profit items in electronic commerce business decision making |
CN108288182A (en) * | 2018-02-12 | 2018-07-17 | 安徽千云度信息技术有限公司 | Supermarket's commodity management system based on big data and method |
CN109670861A (en) * | 2018-11-30 | 2019-04-23 | 深圳冠思大数据服务有限公司 | Commodity on shelf sale effect method for improving and system based on artificial intelligence |
Family Cites Families (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20070050229A1 (en) * | 2005-08-17 | 2007-03-01 | Edward Tatro | Methods and systems for providing access to decision critical information for food services supply chain management |
-
2019
- 2019-11-21 CN CN201911149282.0A patent/CN110889723B/en active Active
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1324040A (en) * | 2000-02-23 | 2001-11-28 | 株式会社东芝 | Data analyzing method and data analyzing system and the recording medium |
WO2003083740A1 (en) * | 2002-03-28 | 2003-10-09 | Fujitsu Limited | Sales supporting method and program |
JP2004054878A (en) * | 2002-07-23 | 2004-02-19 | Kyo Yamauchi | Consumers' purchase trend management system |
JP2004118453A (en) * | 2002-09-25 | 2004-04-15 | Toshiba Lighting & Technology Corp | Salesroom integrated monitoring system |
CN105117944A (en) * | 2015-09-07 | 2015-12-02 | 黄育斌 | Commodity sales information system |
CN105590237A (en) * | 2015-12-18 | 2016-05-18 | 齐鲁工业大学 | Application of high utility sequential pattern with negative-profit items in electronic commerce business decision making |
CN108288182A (en) * | 2018-02-12 | 2018-07-17 | 安徽千云度信息技术有限公司 | Supermarket's commodity management system based on big data and method |
CN109670861A (en) * | 2018-11-30 | 2019-04-23 | 深圳冠思大数据服务有限公司 | Commodity on shelf sale effect method for improving and system based on artificial intelligence |
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