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WO2018139684A1 - Système de gestion et procédé de gestion de recommandations d'informations - Google Patents

Système de gestion et procédé de gestion de recommandations d'informations Download PDF

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Publication number
WO2018139684A1
WO2018139684A1 PCT/KR2017/000833 KR2017000833W WO2018139684A1 WO 2018139684 A1 WO2018139684 A1 WO 2018139684A1 KR 2017000833 W KR2017000833 W KR 2017000833W WO 2018139684 A1 WO2018139684 A1 WO 2018139684A1
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WO
WIPO (PCT)
Prior art keywords
information
pos
user
erp
systems
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/KR2017/000833
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English (en)
Korean (ko)
Inventor
엄인혁
김동겸
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Individual
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Individual
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Publication date
Application filed by Individual filed Critical Individual
Priority to PCT/KR2017/000833 priority Critical patent/WO2018139684A1/fr
Publication of WO2018139684A1 publication Critical patent/WO2018139684A1/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F15/00—Digital computers in general; Data processing equipment in general
    • G06F15/16—Combinations of two or more digital computers each having at least an arithmetic unit, a program unit and a register, e.g. for a simultaneous processing of several programs
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06Q10/00—Administration; Management
    • G06Q10/10—Office automation; Time management
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06Q20/00—Payment architectures, schemes or protocols
    • G06Q20/08—Payment architectures
    • G06Q20/20—Point-of-sale [POS] network systems
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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

Definitions

  • the present invention relates to an information recommendation management system and a management method, and in particular, automatically or in real time information between a user system, an enterprise resource planning (ERP) system, and a point of sales (POS) system that is a dedicated system for merchandise sales.
  • ERP enterprise resource planning
  • POS point of sales
  • An information recommendation management system and management method that can be shared manually and provide the necessary information.
  • the customer operates a web server 120 that is programmed on a web basis so that the price comparison system 140 can be used through a PC of an Internet or offline vendor.
  • the data input by the user including the 200, the seller 300, and the customer 400, or the data input by the POS system are processed according to the respective classifications in the data warehouse 111 to separate the data.
  • the collected data is integrated and managed in the data warehouse 111, and the data warehouse 111 is divided into accounting, purchasing, and sales modules, respectively, so that the data can be transmitted in real time between the modules. Is disclosed for; (Extension Enterprise Resource Planning e-ERP) based POS system yial blood - the Internet is used.
  • Patent Document 1 Korean Unexamined Patent Publication No. 2015-0099628 (2015.09.01 publication)
  • Patent Document 2 Korean Unexamined Patent Publication No. 2013-0047165 (2013.05.08 publication)
  • Patent Document 3 Republic of Korea Patent Publication No. 10-0810743 (2008.02.28 registration)
  • An object of the present invention has been made to solve the problems described above, the information recommendation that can share the information in the user system, ERP system and POS system and can perform the optimal information recommendation to the user system, ERP system and POS system It is to provide a management system and management method.
  • the information recommendation management system includes a server, a plurality of user systems connectable to the server by a network, and a plurality of POS (Point Of Point) systems dedicated to selling goods accessible by the network by the network.
  • Sales) system a plurality of Enterprise Resource Planning (ERP) system that can be connected to the server by the network, the server for the plurality of user systems, a plurality of POS system or a plurality of ERP system
  • ERP Enterprise Resource Planning
  • the server stores the information, and the server transmits the optimal information to the user system, the POS system, or the ERP system, respectively, in response to the information request from any one of the plurality of user systems, the POS system, or the ERP system.
  • the server stores a plurality of pieces of information for each of the user system, POS system or ERP system, the user system stored in the storage unit, POS system or ERP system
  • a condition information extraction unit for extracting a condition corresponding to the information requested by the user system, a POS system, or an ERP system according to each piece of information, and recommendation selection for selecting optimal information from information extracted by the condition information extraction unit It is characterized by including a wealth.
  • the optimal information includes product information, price information, sales information, customer information, purchase and sales information, supply source information, current status information, guide information, and is processed in real time. It is characterized by being updated.
  • the optimum information is characterized in that it is automatically or manually extracted, selected and transmitted.
  • the storage unit is a user information storage unit for storing information of each user system, a POS information storage unit for storing information for each POS system, information for each ERP system It characterized in that it comprises an ERP information storage unit for storing.
  • the condition information extracting unit combines the product information, the price information, the sales information, the customer information, the purchase and sales information, the supply source information, the current situation information, the guidance information, and the user system, the POS. And extracting a condition corresponding to the information requested by the system or the ERP system.
  • the information recommendation management method comprises the steps of (a) storing a plurality of user information, ERP information, POS information in the server, (b) the user system, POS system or ERP system network Requesting the server for necessary information through (c) extracting a condition corresponding to the request in step (b) according to the information stored in step (a), and (d) in step (c) Selecting the optimal information from the extracted information, and (e) transmitting the information selected in the step (d) to the user system, the POS system, or the ERP system.
  • the step (b) is a keyword, access history information or stored information stored in the step (a) when the user system, the POS system or the ERP system accesses the server through a network. It is characterized in that automatically run through the analysis.
  • the step (b) is characterized in that the user system, the POS system or the ERP system is manually executed according to the request information when accessing the server through a network.
  • the storage of the information in the step (a) is updated and stored in real time according to the product information, price information, sales information, customer information, purchase and sales information, supply source information It is done.
  • the extraction of the information in step (c) is performed by combining product information, price information, sales information, customer information, purchase and sales information, supply source information, current status information, and guide information. Extracting a condition corresponding to the information requested by the user system, POS system or ERP system.
  • the server transmits the optimal POS system information to the user system and the POS system according to the information request from the user system, and transmits the updated POS system information after the transfer to the POS system. Characterized in that the transmission to the ERP system.
  • the information recommendation management system and management method by using a server connected to the user system, POS system or ERP system, information in the user system, POS system or ERP system can be shared in real time. Effect is obtained.
  • the user can minimize the information retrieval. .
  • FIG. 1 is a block diagram of a conventional content recommendation apparatus
  • FIG. 2 is a block diagram of a conventional recommendation information providing apparatus
  • FIG. 3 is a conceptual diagram of an information recommendation management system according to the present invention.
  • FIG. 4 is a configuration block diagram of a server applied to the present invention.
  • FIG. 5 is a flowchart illustrating the operation of the information recommendation management system according to the present invention.
  • FIG. 6 is a diagram illustrating an example of map information provided by an information recommendation management system according to the present invention.
  • FIG. 7 is a diagram illustrating an example of a menu of a restaurant displayed on a map illustrated in FIG. 6.
  • FIG. 3 is a conceptual diagram of an information recommendation management system according to the present invention
  • FIG. 4 is a block diagram of a server applied to the present invention.
  • the information recommendation management system includes a plurality of user systems 30 and the network 20 that can be connected to the server 10 by a server 10 and a network 20.
  • a plurality of POS (Point Of Sales) system 40 which is a dedicated system for merchandise sales that can be connected to the server 10 by a plurality of enterprise resources management (Enterprise Resource) that can be connected to the server 10 by the network 20 Planning (ERP) system 50, the server 10 stores a plurality of information about the user system 30, POS system 40 or ERP system 50, respectively, and the server 10 In response to a request for information from any one of the user system 30, the POS system 40, or the ERP system 50, optimal information is sent to the user system 30, the POS system 40, or the ERP system 50. ).
  • POS Point Of Sales
  • ERP enterprise resources management
  • the server 10 is not limited thereto.
  • the server 10 may include functions of a peer activity management server (PAMS), an overlay management server (OMS), and a user management server (UMS). It may consist of multiple servers in charge.
  • PAMS peer activity management server
  • OMS overlay management server
  • UMS user management server
  • the user system 30 may use any one of a personal PC, a tablet, and a smartphone, for example.
  • the server 10 is connected to a module under the control of the controller 11 according to a request of the controller 11, the user system 30, the POS system 40, or the ERP system 50.
  • a storage unit for storing information about each of the transmission / reception unit 12, the plurality of user systems 30, the POS system 40, or the ERP system 50, which executes transmission or reception of related information, stored in the storage unit.
  • Conditions corresponding to the information requested by the user system 30, the POS system 40, or the ERP system 50 according to the respective information about the user system 30, the POS system 40, or the ERP system 50 are determined.
  • a recommendation selection unit 17 for selecting the optimal information from the information extracted by the condition information extraction unit 16.
  • the storage unit includes a user information storage unit 13 for storing information of the plurality of user systems 30, a POS information storage unit 14 for storing information for the plurality of POS systems 40, a plurality of ERP systems 50 ERP information storage unit 15 for storing information about).
  • the controller 11 controls the functional state of each component of the server 10 described above, for example, a transmission / reception state, an information storage state, an extraction state, a selection condition, and the like.
  • the transceiver 12 is the same as the transmission / reception function of a conventional wired / wireless system, a detailed description thereof will be omitted.
  • the storage unit is described as being included in the server.
  • a database separate from the server 10 may be used.
  • a database is a conventional storage medium for storing data required by the server 10, and information about a web browser environment for various user systems 30, POS system 40, or ERP system 50, and various webs. Information on the characteristics and environment of the browser, IDs for the plurality of user systems 30, the POS system 40 or the ERP system 50, unique information such as PASSWORD, and the like are stored.
  • the configuration of such a database is only a preferred embodiment, and in the development of a specific device, in consideration of the ease and efficiency of access and retrieval, it may be configured in a different structure by the database construction theory.
  • the user information storage unit 13 includes access information regarding a connection time between the user and the server, history information about a keyword requested by the user (searched), and the like, and connection information between the user system 30 and the POS system 40. Etc. are stored.
  • the POS information storage unit 14 and the ERP information storage unit 15 includes product information, price information, sales information, customer information, purchase and sales information, supply source information, current status information, guide information, and process in real time. And updated, the connection information between the user system 30 and the POS system 40 and the connection information between the POS system 40 and the ERP system 50 are stored.
  • the term 'auto' used in the present invention refers to the extraction of information regardless of the condition set in advance in the control unit 11 of the server 10 and the request of the user system 30, the POS system 40, or the ERP system 50. It means to execute the selection, 'manual' means to perform the extraction and selection sequentially in response to the conditions required by the user system 30, POS system 40 or ERP system 50.
  • the optimal information can be extracted automatically and manually.
  • the condition information extracting unit 16 is a product information, price information, sales information, customer information, purchase and sales information, supplier information, current status information, guide information in a plurality of POS system 40 or ERP system 50
  • the extraction of such information may be automatically or manually extracted according to a request from the user system 30, the POS system 40, or the ERP system 50. That is, according to the condition set in advance in the control unit 11 of the server 10 and the connection of the user system 30, the POS system 40 or the ERP system 50, the corresponding condition is automatically extracted or the user system 30 According to the condition required by the POS system 40 or the ERP system 50, the extraction may be executed manually.
  • the recommendation selection unit 17 is a product information, price information, sales information, customer information, purchase and sales information in the plurality of POS system 40 or ERP system 50 extracted from the condition information extraction unit 16, In response to the information desired by the user system 30 for the supply source information, the current situation information, and the guidance information, for example, only the price information, the current situation information, and the guidance information are selected and combined and recommended to the user system 30. Accordingly, the user system 30 may be connected to the desired POS system 40 or the ERP system 50 to execute necessary tasks.
  • FIG. 5 is a flowchart illustrating the operation of the information recommendation management system according to the present invention
  • FIG. 6 is a diagram illustrating an example of map information provided by the information recommendation management system according to the present invention
  • FIG. It is a figure which shows an example of the menu of the restaurant displayed on the illustrated map.
  • the user system 30 is a system of 'Ghana' among a number of corporations located in Gangnam-gu, Seoul, which uses an app or an in-house management system, which is a personal PC, a tablet, a smartphone, and a user uses a smartphone. It explains by applying.
  • the POS system 40 is a POS system of a restaurant of 'Dara' in a number of restaurants in Gangnam-gu
  • the ERP system 50 is described as an example of a system of a number of restaurant goods suppliers throughout the country, but is not limited thereto. It doesn't happen.
  • the user system 30 has a function of the POS system 40 or the ERP system 50
  • the POS system 40 is responsible for the function of the user system 30 or the ERP system 50
  • ERP system 50 may have the functionality of user system 30 or POS system 40.
  • the server 10 stores information about the user system 30, the POS system 40, or the ERP system 50, respectively (S10).
  • the user information storage unit 13 includes access information about the time when the user connected to the server with the smartphone, history information about keywords searched on the server with the smartphone, connection information between the smartphone and the POS system 40, and the like. Is stored.
  • the POS information storage unit 14 and the ERP information storage unit 15 include product information, price information, sales information, customer information, purchase and sales information, supply source information, current status information, guide information, and the user system 30.
  • the connection information between the POS system 40 and the connection information between the POS system 40 and the ERP system 50 are stored.
  • the user system 30, the POS system 40, and the ERP system 50 store respective information according to the storage conditions in the controller 11, and the stored information is processed in real time. Is updated.
  • the condition information extractor 16 is a POS system 40 provided in a plurality of restaurants in Gangnam station adjacent to the corporation 'Ghana'. Extract price information, customer information, current status information, and guidance information. For example, if the user wants to "reserving 4 people at 7 pm adjacent to the corporation" Kana "with the smart phone, the condition information extraction unit 16 is a POS system (e.g. In each of 40), a condition of "reserving 4 people at 7 pm" is extracted (S30). The extraction of such a condition is feasible since the information stored in each POS system 40 is updated in real time.
  • the recommendation selecting unit 17 recommends, for example, a restaurant of 'Dara' closest to the origin of the smartphone, and selects the 'Dara'. Information about 'and map information as illustrated in FIG. 6. At the same time, guide the food recommended at the restaurant. Such guidance is transmitted to the smart phone through the transmission and reception unit 12 under the control of the control unit 11 (S50).
  • the user can make a reservation with the POS system 40 of the restaurant of 'Dara' using a smartphone, and a transaction is concluded upon completion of such a reservation, and the POS is settled in accordance with a transaction settlement in the POS system 40.
  • Variation of article information, which is a food material, in the system 40 occurs, and the variation information is processed and updated in real time in the POS information storage unit 14 of the server 10, and the updated POS system of 'Dara' ( Information of 40 is automatically sent to multiple ERP systems 50.
  • the information recommendation management between the user system 30 and the POS system 40 has been described, but the present invention is not limited thereto, and the POS system 40 and the ERP system ( Information recommendation management between 50) is performed in the same manner as information recommendation management between the user system 30 and the POS system 40 as described above.
  • the user system 30, the POS system 40, and the ERP system 50 have been described as a structure that is manually executed according to the request information when the server 10 is connected to the network. Rather, the user system 30, the POS system 40, and the ERP system 50 may analyze keywords, access history information, or stored information stored in step S10 when the server 10 is connected to the server 10 through a network. It can be run automatically.
  • the condition information extracting unit 16 is The user's interest information is automatically extracted through the access history information, and the recommendation selection unit 17 automatically executes the information recommendation selection for the POS system 40 or the ERP system 50 to recommend the information to the user's smartphone. You can execute the transfer.

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Abstract

La présente invention concerne un système de gestion et un procédé de gestion de recommandations d'informations qui peuvent fournir des informations requises tout en permettant de partager automatiquement ou manuellement en temps réel des informations entre des systèmes d'utilisateur, des systèmes ERP (systèmes de planification de ressources d'entreprise) et des systèmes POS (systèmes de point de vente) qui sont des systèmes dédiés à des ventes de marchandises. La présente invention comprend : un serveur ; une pluralité de systèmes d'utilisateur qui peuvent se connecter au serveur via un réseau ; une pluralité de systèmes POS qui sont des systèmes dédiés à des ventes de marchandises et qui peuvent se connecter au serveur via le réseau ; et une pluralité de systèmes ERP qui peuvent se connecter au serveur via le réseau. Le serveur stocke des informations concernant la pluralité des systèmes d'utilisateur, la pluralité des systèmes POS ou la pluralité des systèmes ERP tandis que le serveur transmet des informations optimales aux systèmes d'utilisateur, aux systèmes POS ou aux systèmes ERP selon une demande d'informations au niveau de l'un quelconque de la pluralité des systèmes d'utilisateur, des systèmes POS ou des systèmes ERP, ce qui rend minimale une recherche d'informations par un utilisateur.
PCT/KR2017/000833 2017-01-24 2017-01-24 Système de gestion et procédé de gestion de recommandations d'informations Ceased WO2018139684A1 (fr)

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PCT/KR2017/000833 WO2018139684A1 (fr) 2017-01-24 2017-01-24 Système de gestion et procédé de gestion de recommandations d'informations

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PCT/KR2017/000833 WO2018139684A1 (fr) 2017-01-24 2017-01-24 Système de gestion et procédé de gestion de recommandations d'informations

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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20030033708A (ko) * 2001-10-24 2003-05-01 김경태 온라인을 이용한 자원관리방법 및 그 자원을 관리하는시스템
KR20070017559A (ko) * 2007-01-08 2007-02-12 (주)이인텍 고객관리 및 마켓팅통합시스템
KR20070109639A (ko) * 2006-05-12 2007-11-15 이성광 인터넷을 이용한 이-이알피 기반의 포스 시스템
KR20090000290A (ko) * 2007-02-16 2009-01-07 박달호 실시간 현재 정보 제공 방법 및 시스템
KR101596631B1 (ko) * 2015-04-24 2016-03-07 경희대학교 산학협력단 빅데이터 색인어를 이용한 상품 추천 방법

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20030033708A (ko) * 2001-10-24 2003-05-01 김경태 온라인을 이용한 자원관리방법 및 그 자원을 관리하는시스템
KR20070109639A (ko) * 2006-05-12 2007-11-15 이성광 인터넷을 이용한 이-이알피 기반의 포스 시스템
KR20070017559A (ko) * 2007-01-08 2007-02-12 (주)이인텍 고객관리 및 마켓팅통합시스템
KR20090000290A (ko) * 2007-02-16 2009-01-07 박달호 실시간 현재 정보 제공 방법 및 시스템
KR101596631B1 (ko) * 2015-04-24 2016-03-07 경희대학교 산학협력단 빅데이터 색인어를 이용한 상품 추천 방법

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