KR101770291B1 - System of managing commodity order and method of managing commodity order using the system - Google Patents

System of managing commodity order and method of managing commodity order using the system Download PDF

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KR101770291B1
KR101770291B1 KR1020160006263A KR20160006263A KR101770291B1 KR 101770291 B1 KR101770291 B1 KR 101770291B1 KR 1020160006263 A KR1020160006263 A KR 1020160006263A KR 20160006263 A KR20160006263 A KR 20160006263A KR 101770291 B1 KR101770291 B1 KR 101770291B1
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South Korea
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order
dealer
information
dealer terminal
retail store
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KR1020160006263A
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Korean (ko)
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KR20170086805A (en
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김학성
주영민
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주식회사농심
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/04Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/28Logistics, e.g. warehousing, loading, distribution or shipping
    • YGENERAL 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
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S50/00Market activities related to the operation of systems integrating technologies related to power network operation or related to communication or information technologies
    • Y04S50/14Marketing, i.e. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards

Abstract

According to the present invention, it is possible to generate order forecast information based on past purchase information requested by a retailer, and provide retailer information and a travel route expected to be placed on a specific day on a dealer terminal to a dealer terminal, And an order management server capable of providing information related to a merchandise to a dealer terminal, and a product order management method using the same. It is possible to conduct systematic and scientific operations by transmitting information on retail stores, which are expected to be ordered using past data such as order or purchase information as big data, to the dealer terminal. In addition, by providing information on the order status of goods not handled by a specific retailer and information on non-deal retail stores in a dealer jurisdiction, it is possible to induce sales of products objectively and positively.

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention [0001] The present invention relates to a commodity order management system and a commodity order management method using the commodity commodity order management system.

More particularly, the present invention relates to a system for managing a product order through a communication network, and more particularly, to a system for extracting a forecasted order quantity of a retail store based on big data and efficiently and systematically and scientifically ordering goods, And a method for managing product ordering using the system.

As communication technologies such as the Internet and mobile have rapidly developed, commodity trading and commodity supply have increased dramatically. Product trading and supply of products through online are not only done between supplier and consumer (so-called business-to-consumer), but also between manufacturers who produce goods and those who sell and supply them , Business-to-Business).

For example, if a manufacturer of a product is unable to sell the product directly to all retailers, the manufacturer typically installs a dealer or distributor for each region and supplies goods to retailers through these dealers . The process of supplying and distributing goods to retailers through the dealers is briefly reviewed.

Dealers exclusively manage the supply of goods manufactured by the head office to retail stores through contracts with the head office. Dealers circulate through retail stores located in the area of dealers and relate to the products manufactured by the head office, order the products manufactured by the head office, and send the ordered products to the head office. Currently, between the head office and the dealer, the product order through the communication network is simply notified to the head office of the commodity ordered by the dealer, and the head office is at a level instructing the delivery of the ordered commodity in consideration of the stock list of the requested commodity.

Retailers operate independently of their headquarters or dealers, so neither the head office nor their dealers know what products retailers have sold to consumers. As a result, dealers will randomly go through the retail stores in their dealers' jurisdictions without knowing the product sales at the retail store or the inventory status of the specific product, and receive orders for specific products. Since dealers can not confirm the sales results of a specific product at a retailer, even if a dealer visits a retailer, there are not many products that a retailer may request for an order.

Of course, dealers can request product orders only through retailers that are expected to receive orders based on order data from specific retailers. However, because dealers visit retail stores in accordance with different standards, the possibility that orders will not be made at the retail stores actually visited can not be ignored.

In addition, depending on the retailer, there are cases where only certain products are traded and other products are not traded. When a dealer recommends a product not covered by a particular retailer, the retailer can not be certain that the product recommended by the dealer is likely to be sold, and it is unclear whether the sale of the referral product will result in sufficient profit not. For example, even if a new product is released from the head office and there is a recommendation for the new product from the dealer, retailers are not sure about whether the new product is a product that can be sold to the final consumer. I am reluctant.

As a result, the dealer 's operation performed through the contract with the head office, which is the manufacturer of the conventional product, was not systematic. In addition, there has been a considerable insufficiency in promoting active marketing of products that are not handled in a specific retail store.

Korean Patent No. 10-0895272

SUMMARY OF THE INVENTION The present invention has been made in order to solve the problems of the prior art described above, and an object of the present invention is to provide a systematic and objective merchandise order management system using big order data of a specific retail store as big data, And to provide a management method.

Another object of the present invention is to provide a merchandise order management system and a merchandise order management method using the merchandise order management system, in which dealers can efficiently visit merchandise stores and order merchandise.

It is still another object of the present invention to provide a system and method for providing an objective sales data for a merchandise not handled at a specific retail store, thereby enabling active marketing of the merchandise not yet handled, An order management system and a method for managing order placement of products using the same.

According to an aspect of the present invention, there is provided a merchandise order management system using a dealer terminal connected to an order management server through a communication network, the merchandise order management system comprising: and; Extracting a forecasted commodity purchase order that is expected to be ordered at each retail store based on the past order history of the retail store sent from the dealer terminal, transmitting the extracted forecast merchandise order to the dealer terminal, And an order management server for presenting, to the dealer terminal, a route of movement between the retail stores, which is expected to request an order for goods based on the ordered product order.

The order management server can further provide the dealer terminal with the marketing information on the untrained goods requested from the dealer terminal and from the retail store.

In an exemplary embodiment, the order management server may further include an ordering history of the untrained goods at retail stores that are requested by the dealer terminal and are similar in merchandise and sales to untraced goods at the retail store It can be further provided as a dealer terminal.

For example, the order management server may extract, based on the past order history of the retailer transmitted from the dealer terminal, a forecasted product order list that is expected to be ordered at each retail store, A course recommendation module for presenting, to the dealer terminal, a route between a retail store expected to request a product order based on the forecasted product order list extracted by the order forecasting module; And a marketing management module for providing the dealer terminal with the marketing information on the untrained goods and the order details of the retailer having similar merchandise sales and sales related to the untrained product to the dealer terminal.

In this case, the course recommendation module may be configured such that the possibility of ordering a product, which is likely to be highly likely to be ordered sequentially, is determined based on a priority order of the retailers having a high possibility of requesting an order for products based on the forecasted product ordering details extracted from the order forecasting module A shortest travel route between a recommendation unit for each day that provides a route between retailers expected to be high and a retail store that is expected to request an order for goods or a retail store where the order amount is expected to be the largest, And a retail store recommendation unit that provides a movement path between retail stores that is expected to be large in amount.

In addition, the marketing management module may include an event guide unit for each retail store to present a retail store targeted for a promotion event to the dealer terminal, a product-specific event guide unit for presenting a product to be promoted to the dealer terminal, A merchandise information guide unit for presenting merchandise information on the unused merchandise in the retail store to the dealer terminal; And an order history information unit for presenting the order history to the dealer terminal after analyzing the order history at another retail store having similar sales.

For example, the merchandise information guide unit may present a link page address at which an advertisement for an untrained product of the retail store is posted to the dealer terminal, and display the link page address at the dealer terminal.

In another alternative embodiment, the order management server includes: a business management module for providing information on a product requested to be ordered through the dealer terminal to the dealer terminal; and a sales management module for providing sales information To the dealer terminal, and an information management module for providing the retailer information and the information related to the goods to the dealer terminal.

The order management server may further include a distribution management module that manages the delivery of goods ordered to the retail store sent from the dealer terminal to the order management server to the retail store.

In another alternative embodiment, the merchant terminal may further include a distribution server for managing delivery of the ordered goods to the retail store at the retail store sent from the dealer terminal to the order management server.

According to another aspect of the present invention, there is provided a method for managing an order for goods using a dealer terminal connected to an order management server through a communication network, the method comprising: (a) transmitting, from a dealer terminal to the order management server, (b) extracting, from the order management server, a forecasted commodity purchase order that is expected to be ordered at each retail store based on the past order history of the retail store sent from the dealer terminal; (c) transmitting the extracted forecast product order history from the order management server to the dealer terminal; (d) a step of presenting, to the dealer terminal, a route between the retail stores, which is predicted to request an order for goods on the basis of the extracted forecast product order history from the order management server.

In one exemplary embodiment, the step (d) may further include the step of, in the case where a retailer having a high possibility of requesting an order for goods based on the forecasted goods order history extracted by the order management server is a priority, And providing a movement route between the retail stores, which is predicted to be the retail store, to the dealer terminal.

In another alternative embodiment, in the step (d), the shortest movement route between the retail stores predicted to require the goods order by the operation of the dealer terminal, or the retail store predicted to have the largest order amount, A movement route between the retail stores, which is predicted to have a large order amount sequentially, can be provided from the order management server to the dealer terminal.

Further, in one exemplary embodiment, the step (d) may include: requesting, by the dealer terminal, information on an untrained item of the retail store to the order management server; And providing profile information and advertisement information for the handled product to the dealer terminal.

In an alternative embodiment, after the step (d), if the order history for the untreated goods at the retail store that trades the untrained goods at the retail store and at other retail stores that are similar in sales by the dealer terminal, A step of requesting from the server to the dealer terminal, and a step of providing an order for the untrained goods from the other retailer who has traded the untrained goods from the order management server to the dealer terminal.

According to the system and method of the present invention, the past order history is analyzed as big data, and a forecast ordering order that is expected to be ordered at a specific retail store is generated. A forecasting order history from an order management server managed by a manufacturer that manufactures a product to a dealer terminal, retail store information predicted to order a product on a specific day, Provide a travel route.

When the dealer circulates through these retail stores based on the forecast order history and the movement information of the retail stores provided by the order management server, it is based on the data analyzed from the big data. Therefore, The likelihood of receiving a large increase. Therefore, retailers will be supplied with the appropriate quantity. At dealers, systematic and scientific efficient order processing becomes possible.

In addition, by presenting information on products not handled at a specific retail store based on data ordered and sold at other retail stores, it is possible to induce ordering and sales of products that were not handled by the retail store. Dealers offer objective data on untreated goods, enabling active marketing and sales activities for products that were not handled by a particular retailer.

The manufacturing company can also provide reliable ordering data for the products that were not handled at a specific retail store and thus have the advantage of exploiting the merchandise of the merchandise which was not handled at a specific retail store mainly in the new merchandise.

FIG. 1 is a view schematically showing a state where a server and a terminal (client) constituting a goods order management system according to an exemplary embodiment of the present invention are connected through a communication network.
FIG. 2 is a block diagram schematically showing a module and a component constituting an order management server and a dealer terminal constituting a commodity order management system when a separate logistics server exists according to an exemplary embodiment of the present invention.
3 is a functional block diagram showing the configuration of each module included in the order management server when there is a separate logistics server according to an exemplary embodiment of the present invention.
4 is a view schematically showing a process of placing an order for goods between an order management server and a dealer terminal in the case where there is a separate logistics server according to an exemplary embodiment of the present invention.
5 is a block diagram schematically showing modules and components constituting an order management server and a dealer terminal constituting a commodity order management system when there is no separate logistics server according to another exemplary embodiment of the present invention .
FIG. 6 is a block diagram showing the functional configuration of each module included in the order management server in the case where there is no separate logistics server according to another exemplary embodiment of the present invention.
7 is a view schematically showing a process of placing an order for goods between an order management server and a dealer terminal in the case where there is no separate logistics server according to an exemplary embodiment of the present invention.
8 is a diagram showing a screen of a dealer terminal provided with a recommendation course from the order management server according to an exemplary embodiment of the present invention.
9 is a view showing a screen of a dealer terminal provided with profile information and advertisement information for a handled or untrained product at a retail store from an order management server according to an exemplary embodiment of the present invention.
FIG. 10 is a view showing a screen of a dealer terminal provided with an ordering history at another retail store, the merchandise of which is of a commercial value and a sales scale similar to those of the merchandise untrained at the retail store from the order management server according to the exemplary embodiment of the present invention.
11 is a view showing a screen of a dealer terminal provided with past performance information on goods to be handled at a retail store from an order management server according to an exemplary embodiment of the present invention.
12 is a view showing a screen of a dealer terminal for processing an order for goods at a specific retail store according to an exemplary embodiment of the present invention.

Hereinafter, the present invention will be described with reference to the accompanying drawings where necessary.

FIG. 1 is a view schematically showing a state where a server and a terminal (client) constituting a goods order management system according to an exemplary embodiment of the present invention are connected through a communication network. 1, the exemplary merchandise order management system 100 of the present invention includes an order management server 200 connected via a communication network, a dealer terminal 300, an optional distribution server 400, And a sender terminal 500.

WI-FI, 3G, 4G (for example, LTE-based), the carrier management server 200, the dealer terminal 300 and the communication network for selectively connecting the logistics server 400 and the receiver terminal 500, A general communication network such as a data communication network such as 4G of the Internet, or a dedicated communication network centering on the order management server 200 managed by the head office.

The order management server 200 may be a server managed by a head office that produces and manufactures goods finally supplied to consumers through a retail store. The order management server 200 is connected to the dealer terminal 300 through a communication network and receives the order information from the specific retail store provided from the dealer terminal 300. The order management server 200 receives various information related to the order processing performed through the dealer terminal 300 Information and data. In particular, according to the present invention, the order management server 200 generates and extracts a forecast product order history based on the past order history of the retailer sent from the dealer terminal 300, and outputs the extracted order of the forecast product to the dealer terminal 300 And presents the same to the dealer terminal 300, and guides the sales activity such as ordering of goods at the dealer dealer.

If necessary, the order management server 200 can provide marketing information on the untrained goods of the retail store requested by the dealer terminal 300 to the dealer terminal 300. Alternatively, the order management server 200 may provide the dealer terminal 300 with an order for the goods at the other retail stores with respect to the untrained goods of the retail stores requested by the dealer terminal 300. [ The detailed configuration and functions of the order management server 200 will be described later.

The dealer terminal 300 may be any dealer, distributor, and / or regional distributor who performs sales to a retail store that sells goods in a specific area or area through a contract with a company that operates the goods supply management server, , And a terminal managed by a person in charge of carrying out actual work through these companies. The dealer terminal 300 downloads a dedicated application (app, App) provided by the order management server 200 and can perform sales in a retail store using various information and data provided by the order management server 200 have. In one exemplary embodiment, the dealer terminal 300 transmits to the order management server 200 the item details (type of product, quantity, etc.) requested by the retailer in the area managed by the dealer.

A non-limiting example of the dealer terminal 300 is a PC, a laptop, and / or a laptop, which can be installed in an office or the like of a dealer who takes charge of an ordering process for a retail store in a specific area through a contract with a head office, Or a computer terminal such as a notebook computer. Or the dealer terminal 300 may be a mobile terminal such as a cellular phone, a PDA, a smart phone, and / or a smart device such as a tablet PC managed by a person in charge of a dealer. The dealer or dealer manager accesses the order management server 200 through the communication network using the dealer terminal 300 to download the application provided by the order management server 200 and drives the application to manage the order The server 200 can enjoy the service for order management.

The warehouse server 400 issues goods ordered from among the stored goods and directs and manages the delivery of the goods when the goods ordering details from the dealer terminal 300 and / or the order management server 200 are notified. The logistics server 400 may be configured independently of the order management server 200 and may have a component for omitting the logistics server and managing the logistics in the order management server 200 when necessary.

The distributor terminal 500 is responsible for delivering the commodity ordered by the instruction from the order management server 200, the dealer terminal 300 and / or the logistics server 400 to a specific retail store that requested the order, . For example, the sender terminal 500 may be a mobile terminal, such as a smart device, such as a cell phone, PDA, smartphone, and / or tablet PC.

The modules and components constituting the order management server 200 and the dealer terminal 300 in the goods order management system 100 according to the exemplary embodiment of the present invention will be described with reference to FIG. FIG. 2 is a block diagram schematically showing a module and a component constituting an order management server and a dealer terminal constituting a commodity order management system when a separate logistics server exists according to an exemplary embodiment of the present invention. The goods order management system 100A according to the first exemplary embodiment of the present invention shown in FIG. 2 includes the order management server 200A and an independent distribution server 400 (see FIG. 1).

A module in this specification may mean a functional and structural combination of hardware for carrying out the technical idea of the present invention and software for driving this hardware. For example, a module may refer to a logical word of a code written in a predetermined computer language and a hardware resource for executing the code, and may be a code that is physically connected to the module, or a specific type of hardware It will be readily appreciated by those of ordinary skill in the art to which the present invention pertains.

In the present specification, a database or a DB may mean functional and structural combination of software and hardware storing information corresponding to each DB. Illustratively, the DB may be implemented as at least one table, and may further include a separate DBMS (Database Management System) for searching, storing, and managing information or data stored in the DB. If necessary, the DB may be implemented in various ways such as a link-list, a tree, a relational DB, etc., and may be any data storage medium and data capable of storing information corresponding to the DB Structure.

2, the order management server 200A according to the first embodiment of the present invention includes an interface module 210, a database module (DB module) 220, an order prediction module 230, A recommendation module 240 and optionally a marketing management module 250, a business management module 260A, a business analysis module 270, an information management module 280, and information and / And a control unit 202 such as a central processing unit (CPU) for controlling the data.

The interface module 210 provides an access environment to the dealer terminal 300 connected to the order management server 200A through a communication network. The DB module 220 stores and manages dealer information, information on products to be sold or sold, ordering information, and promotional event information.

The order forecasting module 230 generates and extracts a forecasted product order to be expected to be placed on a specific day of the week at each retail store on the basis of the past order history and performance of the retailer sent from the dealer terminal 300, (300). The course recommendation module 240 presents a route of movement between the retail stores, which is expected to request an order for goods among the retail stores controlled by the dealer, on the dealer terminal 300, based on the forecasted product order list extracted by the order prediction module 230 do. For example, FIG. 8 shows a route between a retail store where a product order is expected from a recommendation course module 240 and a screen of a dealer terminal 300 on which a retail store expected to be placed is displayed, according to an exemplary embodiment Giving.

If necessary, the course recommendation module 240 may request an order for a product, in addition to a route between the retail stores, which is predicted to request an order for a product on a specific day based on the forecast product order list extracted by the order forecast module 230 It is anticipated that the shortest route between retail stores and / or a retail store expected to order the most goods, or a retail store expected to have the largest order amount, To the dealer terminal 300 in the order of the retailer.

The marketing management module 250 not only stores the merchandise of the retail store requested by the dealer terminal 300 but also stores the marketing information on the untrained merchandise and the order details of other retail stores in relation to the untrained merchandise of the retail store To the dealer terminal (300).

The task management module 260A constituting the order management server 200A provides the dealer terminal 300 with information on the goods requested for ordering through the dealer terminal 300. [ The sales analysis module 270 provides the dealer terminal 300 with sales information related to the order and purchase details performed through the dealer terminal 300. The information management module 280 provides the dealer terminal 300 with basic information such as retail store information within a specific area managed by the dealer and information related to an order or a product to be purchased.

On the other hand, the dealer terminal 300 is connected to the order management server 200A via a communication network, and is configured to transmit and receive various information and / or data related to product ordering with the order management server 200A. For example, the dealer terminal 300 may include an input unit 310, a display 320, a communication unit 330, a memory 340, and an APP driver 350, and may be equipped with appropriate software capable of implementing them have. If necessary, the dealer terminal 300 may further include a GPS 360 and a product reading unit 370 such as a barcode reader.

The input unit 310 constituting the dealer terminal 300 may be a keyboard and / or a touch panel that can input information on an ordering history requested by a retailer or input an inquiry request for business details and the like. The display 220 displays the order forecast information, recommendation course, retail store information, product information, sales data, and the like transmitted through various user interfaces (UI) provided through the order management server 200A on the dealer terminal 300 . The communication unit 330 processes the connection to the order management server 200A and, if necessary, the distribution server 400 (see FIG. 1) via the communication network of the dealer terminal 300. [ The memory 340 stores various programs implemented by the software installed in the dealer terminal 300 or various information transmitted from the order management server 200A or the logistics server 400 (see FIG. 1). The APP driver 350 processes the application and the implementation downloaded from the order management server 200A.

For example, when an application implemented by the APP driver 350 is displayed on the dealer terminal 300 through the display 320, a menu corresponding to the various modules constituting the above-described order management server 200A is displayed (Not shown). For example, various menus are sequentially displayed at the top of the screen shown in FIG.

At this time, the recommended course menu is sent to the course recommendation module 240 of the order management server 200A, and the work management menu and other tasks menu are sent to the task management module 260A of the order management server 200A, The profile / advertisement menu is transmitted to the marketing management module 250 of the order management server 200A, the sales analysis information menu to the sales analysis module 270 of the order management server 200A and the basic information management menu to the order management server 200A The information management module 280 of FIG. In other words, when the upper menu displayed on the display 320 of the dealer terminal 300 shown in FIG. 8 is operated, related data and information can be transmitted and received from the module of the order management server 200A corresponding thereto Lt; / RTI > In particular, a map engine may be installed in the application provided from the order management server 200A to the dealer terminal 300 so that the dealer terminal 300 can display the movement route of the retail store.

Also, since the dealer terminal 300 is equipped with the GPS 360, the dealer representative can register the travel route of the retail shop actually visited using the dealer terminal 300. [ Accordingly, the order management server 200A is implemented so as to confirm the circulation or the number of visits of the day, week, month, and year of the retail store actually performed by the dealer representative.

In addition, the dealer terminal 300 is provided with a product reading unit 370 such as a barcode reader. Accordingly, when a dealer in charge of a dealership requests an order for a product, the customer can recognize the recognized barcode on the surface of the requested product and transmit the order and purchase history of the product to the order management server 200A.

The module and function of the order management server 200A constituting the goods order management system 100A according to the first embodiment of the present invention will be described in detail with reference to FIG. 3 is a functional block diagram showing the configuration of each module included in the order management server when there is a separate logistics server according to an exemplary embodiment of the present invention.

3, the DB module 220 can be divided into a dealer DB 222, a retail store DB 224, a merchandise DB 226, and a marketing DB 228. The dealer DB 222 stores information on dealers who ultimately process an order, purchase, delivery, etc. of a requested product at a retail store in a specific area according to a predetermined agreement. For example, the dealer DB 222 stores not only the ID information and the password of the dealer and dealer representative for accessing the order management server 200A, but also the ID and password of the dealer representative for the connection to the order management server 200A as well as the address and contact information of the dealer & Information such as order history, purchase history, and delivery details performed by the dealer and each dealer manager is stored and managed in units of day, week, month, and year.

The retail store DB 224 stores retail store information in a specific area input through the dealer terminal 300 or the salesperson terminal of the main office. For example, the retail store DB 224 stores not only information such as a business name, a contact address, and the like of a retail store, but also information on a commercial area such as a commercial area or size of a commercial area, And the like are stored and managed. In the exemplary embodiment, the retail store DB 224 stores and manages not only retail stores where merchandise is ordered through dealers, but also merchant stores that are not traded through dealers . At this time, the information stored in the retail store DB 224 and the information stored in the dealer store DB 222 are linked to each other, so that only the dealer store information in the jurisdiction area is displayed with the dealer terminal 300 managed by the dealer manager managing the specific area You can implement it.

The commodity DB 226 stores information related to an arbitrary commodity produced by a manufacturer's head office that operates the order management server 200A. For example, the merchandise DB 226 may classify the produced merchandise into a certain classification (e.g., classifying the merchandise as snacks, noodles, beverages, soy products, etc.). The commodity DB 226 stores information on the type of commodity, the unit price of the commodity (for example, the unit price per commodity box), and the like. In addition, the merchandise DB 226 is associated with the retail store DB 224 to separately store and manage information on merchandise previously ordered from the merchandise produced by the head office, that is, merchandise handled by the retail store . In addition, the product DB 226 may separately store and manage information on a product that is not handled at a specific retail store, that is, information about an untrained product, among products produced by the main office.

The marketing DB 228 stores information related to promotional events and product information or profiles. In the exemplary embodiment, the marketing DB 228 may be associated with the dealer DB 222, the retail store DB 224, and the merchandise DB 226 described above. In this case, the marketing DB 228 stores and manages promotional event information, retail shop information targeted for a promotion event, and product information to be promoted through a specific dealer. If necessary, the marketing DB 228 may store and manage profile information of a product that is being handled / not handled by the retailer and / or advertisement information of the product.

The order prediction module 230 can be divided into an order analysis part 232 and an order extracting part 234, for example. The order analysis unit 232 generates a forecasted commodity purchase order at the corresponding retail store based on the past commodity purchase order requested at each retail store in the specific area transmitted through the dealer terminal 300. [ In one exemplary embodiment, the order analysis unit 232 prepares predicted data based on data provided by the dealer terminal 300 or the like, and can finally calculate the order quantity after selecting a predictive model. To do this, you could use a commercial statistical engine such as the R statistical engine or Oracle DB (Oracle DB).

In the data preparation step, the order analysis unit 232 stores data such as retail store information, dealer store information and product information provided through the dealer terminal 300 and / or the distribution server 400 (see FIG. 1) , The data such as the order of the forecasted product order is loaded on the basis of the sales date of each product requested by each retailer. For example, logistics data such as 15-month shipping goods, time and quantity stored in the logistics server 400 (see FIG. 1), sales history and collection information of the retail store for the past three months requested through the dealer terminal 300 , The retailer's address, commodity, commercial area, local information, etc., can be analyzed and utilized as big data, so that the day of the week and the order quantity expected at the retail store can be predicted. The logistics data provided from the logistics server 400 (see FIG. 1) and the sales details of the retail store provided from the dealer terminal 300 are exemplified as the past 15 months and the past 3 months information, respectively. However, It is not.

More specifically, in the data preparation step, the order analysis unit 232 analyzes the sales data corresponding to the order history performed through the dealer terminal 300 and the logistics data managed by the logistics server 400 (see FIG. 1) . Considering both the past order history considering only the sales data, the logistics data and the sales data, the order quantity and order forecast day at the retail store are analyzed and generated.

In the prediction module selection step, an appropriate prediction module is selected based on past order history and logistics data of the corresponding retail store. According to the retailer, the appropriate prediction module can be selected in consideration of the volatility of the fluctuation of the quantity of sales related to the order of the product, and the frequency of the sales days.

For example, when volatility and frequency are considered, when there is a significant difference between sales volatility and sales frequency, it is classified as irregular. In this case, it is necessary to adjust the overall forecasting method. On the other hand, if the sales fluctuation is irregular but the number of days is small, the intermittent model is applied first because the sales fluctuation is regular but when the number of days of sales is small, it is classified as intermittent. On the contrary, when sales fluctuations are regular and sales are likely to occur, they are classified as having regularity, Method can be used to analyze the forecasted quantity of orders and forecasting day of order at each retailer.

Finally, in the step of calculating the number of proposals, the accuracy is verified on the basis of a predetermined formula by comparing the actual order details derived from the first step with the predicted order amounts derived from the prediction model in the second step. In one exemplary embodiment, the estimated final order quantity and the estimated order placement date can be calculated by considering the order quantity predicted value calculated according to the model classified in step 2 and the weight according to each model.

Recife, R, Frequency, F Purchase Amount (Monetary, F) Purchase Amount (Monetary) Purchase Amount (Monetary) Purchase Amount (Monetary) M), and so on, in accordance with the so-called R / F / M standard.

For example, the recent trend is to analyze the predictability of order placement on the same day as the dealer's visit schedule. It is based on the number of visits per week for the last three months divided by the number of orders per week for the last three months. The purchase frequency is related to the length of the visit period of the retailer of the dealership representative, based on the number of days of order placement for the last three months divided by the number of business days for the last three months. The purchase amount is related to the size of the sales amount. The purchase amount is based on a value obtained by dividing the total sales amount by the day of the last three months by the number of orders per day in the last three months. These can be combined to score the evaluation of each retailer, and it is possible to analyze and calculate the retailer that is expected to be ordered by day of the week.

At this stage, it is possible to predict the order of each product forecasting order at each retail store by month or day of the week . If it is not suitable for the prediction model, it is replaced with the average of past order performance. At the same time, according to the prediction model, the final order quantity and the order request date can be calculated with the accuracy as the weight. In addition, the daily order quantity of the proposal will be able to be distributed to the daily order quantity of the monthly proposal.

The order extracting unit 234 extracts an order quantity, an order item, an order date, and the like, which are expected to be requested from the respective retail stores analyzed by the order analysis unit 230, together with the retail store information, to provide.

The course recommendation module 240 provides information on the retail store, which is expected to be ordered, to the dealer terminal 300 together with the movement route, based on the forecasted order information of the retail store extracted by the order prediction module 230 and the like. For example, the course recommendation module 240 includes a recommendation section 242 for each day of the week, a retail recommendation section 244, an unauthorized party display section 246, a non-handling destination display section 247 and a direct delivery display section 248.

The recommendation section 242 for each day of the week can be used for a specific day of the week, that is, a day on which the dealer manager visits the retail store in the jurisdiction area using the dealer terminal 300, on the basis of the forecasted merchandise order history extracted and transmitted by the order extracting section 234 A route of movement between the retail stores is provided to the dealer terminal 300 with the retail stores having a high possibility of requesting the product ordering as priority. For example, the day-of-week recommendation unit 242 may sequentially determine the route of movement between the retail stores to the dealer terminal 300 (300) according to the order of the product order request, with the retailer having the highest possibility of requesting the product order on a particular day as the highest- ).

8 schematically shows a screen provided by the recommendation section 242 for each day of the day, which constitutes the order management server 200A through the display 320 (see Fig. 2) of the dealer terminal 300. As shown in Fig. The dealer manager can check the retail store where the product order is predicted to be displayed through the dealer terminal 300. Based on the travel route between the product order forecast retail store provided by the recommendation section 242 per day and the retail store, You can inquire whether or not.

As described above, the order prediction module 230 provides the dealer terminal 300 and the retail store expected to order goods on a specific day and the estimated order quantity of order, based on past order history and logistics data at a specific retail store . As a result, dealer agents visit retail stores based on systematic and scientifically analyzed forecasted product orders, so it is very likely that the retailer will request product orders from retailers. Therefore, dealers do not need to visit retail stores that do not order, so efficient and systematic retail sales are possible.

If necessary, the dealer representative may want to know various routes in accordance with other criteria other than the retail store moving route by day of the week provided by the order forecast module 230. [ For this, the course recommendation module 240 may include other components showing the movement path between retail points according to a predetermined criterion in addition to the recommendation section 242 for each day. Illustratively, the retail store recommendation unit 244 may be configured to determine a shortest path between retail stores that is expected to request a product order on a particular day and / or a retail store that is expected to have the largest order value (or order quantity) (That is, the order quantity) is expected to be the largest in the order of priority, and the retailer terminal 300 can be provided with a movement route between the retail stores, which is predicted to have a large order value sequentially.

In addition, there may be a large number of retail stores that do not deal with dealers because they do not deal with products manufactured by the head office at all within the territory of the dealer. The information on the retail store is collected by the salesperson at the head office and provided to the order management server 200A. The order management server 200A processes the information about the non-deal retail store that is not trading the head office product, 300).

In this case, by the operation of the dealer terminal 300, the non-dealer display unit 246 provides the dealer terminal 300 with the route of the non-deal retail shop information and the non-deal retail shop located in the jurisdiction area of the dealer dealer. For example, a dealer representative can determine the location and route of a non-traded retail store if there is no or expected order at a retail store currently trading on a particular day, visit these retail stores and request an order for a product produced by the head office This has the advantage of being able to quickly acquire new retail outlets.

In addition, some retail stores within the jurisdiction of dealers may have some retail stores that do not place orders for specific products, although some of their products are handled. The unprocessed destination display unit 247 provides the dealer terminal 300 with the information about the untreated retail store that does not handle a specific product from the main merchandise and the movement route by the operation of the dealer terminal 300. [ For example, a dealer representative who has obtained information on a new product at the head office but has not yet traded a new product, and who has obtained the information about the travel route, can visit these untreated retail stores first and request an order for a new product. As a result, it is possible to secure more retail stores handling new products and promote new business activities for new products.

In the case where an article of merchandise is received from a dealer terminal 300 at a certain retail store, the delivery of goods to the retail store may be performed at the head office or may be performed at a dealer dealer receiving the product order. Accordingly, the direct delivery display unit 248 can provide the delivery route of the deliverer to the dealer terminal 300 in connection with the direct delivery which can be performed at the head office level or dealer dealer level. After receiving a product order from a specific retail store, the position and the like of the sender are provided to the dealer terminal 300 through the direct delivery display unit 248 in real time. As a result, dealers have the advantage of being notified directly to the retailer operator about their delivery status.

The marketing management module 250 is a module for managing various promotional information, profile and / or advertisement information of a specific product, and an untrained item of a specific retail store at the head office or dealer level, To the dealer terminal (300). For example, the marketing management module 250 may include an event guide unit 250 for each retail store, a product event guide unit 254, a dealer event guide unit 256, a product information / advertisement guide unit 257, A guide unit 258, and the like.

In an exemplary embodiment, for the purpose of promoting incentives to retailers that have superior ordering and purchasing performance for products manufactured or manufactured by the head office at the headquarters level, or conversely, promoting sales to retail stores that are not satisfactory , Promotions may only be conducted for specific retail outlets. The event guide unit 252 for each retail store presents the specific retail store information targeted for the promotion event to the dealer terminal 300.

Promotional events may be conducted on certain products manufactured by the head office, for example, products whose sales have been slower than expected. The product-specific event guide unit 254 presents information on the merchandise to be promoted to the dealer terminal 300. In addition, a predetermined promotional event may be conducted at the dealer level. The dealer dealer information display unit 250 presents information related to a promotional event being conducted at a particular dealer dealer to the dealer terminal 300. [

The product information / advertisement information unit (product information information unit) 257 provides the dealer terminal 300 with profile information and advertisement information about products manufactured by the main office. For example, the product information guide unit 257 notifies the user of profile information and advertisement information about not-yet-handled products not handled by a specific retail store as well as profile information and advertisement information about the products handled by a specific retail store, And provides it to the terminal 300.

9 is a view showing a screen of a dealer terminal provided with profile information and advertisement information for a handled or untrained product at a retail store from an order management server according to an exemplary embodiment of the present invention. As shown in FIG. 9, the product information guide unit 257 provides the dealer terminal 300 with the link page address where the advertisement for the specific product is posted. The dealer manager can be implemented so that profile information or advertisement information of the corresponding product can be displayed on the dealer terminal 300 by touching the link page displayed on the display 320 of the dealer terminal 300, (See FIG. 2) of the retail store manager 300 (see FIG. 2), and sends the message to the retail store manager to send the link page address where the advertisement is posted to the retail store manager's terminal (not shown) It is possible. The manager of the retail store requests an order for an untrained item based on profile information or advertisement of the product provided to the dealer terminal 300 through the product information guide unit 257 with respect to the untrained product at the specific retail store . The dealer representative can conduct active marketing for untreated goods in the retail store.

On the other hand, as the retail store manager, it may be uncomfortable to trade the untrained product only with the profile information and the advertisement information of the untrained product provided from the product information guide unit 257. [ Accordingly, the order history guide unit 258 constituting the marketing management module 250 of the present invention can be configured to display the order history of other retail stores, such as the monthly order history, To the dealer terminal (300).

10 is a view showing a screen of a dealer terminal 300 (see FIG. 2) provided with an ordering history at a retail store similar in merchandise and sales to merchandise not yet handled at a retail store from the order management server according to the exemplary embodiment of the present invention FIG. As shown in FIG. 10, the order history guide unit 258 is a unit that, among the retail stores that have ordered the goods related to the untrained products in the specific retail store, The dealer terminal 300 may provide only the order history in the dealer terminal 300 or may provide the dealer terminal 300 with the order details of other retail stores having a similar size or size.

The retail store manager can check the extent to which the untrained product is sold to the consumer by considering the order placement of other retailers with similar merchandise, store size and / or sales history. As described above, in the present invention, it is possible to provide an order history from other retailers having similar merchandise, store size, and / or sales history to the untrained merchandise at a specific retail store, It can induce orders for untreated goods. Dealer representatives can also present an objective and reliable order history of untrained products, and actively pursue sales of untrained products based on this.

3, the product information guide unit 257 and the order history guide unit 258 are included in the same marketing management module 250 as the other promotional event guide units 252, 254, and 256. However, it is also possible to include the product information guide unit 257 and the order history guide unit 258 in an independent separate module instead of the marketing management module 250.

The business management module 260A provides the dealer terminal 300 with information on the goods requested for ordering through the dealer terminal 300. [ The business management module 260A may include, for example, a sales management unit 262, a purchase information display unit 264, and a shipping request / inquiry unit (delivery management unit 266).

The sales management unit 262 processes the business related to the order processing of the goods requested by the dealer representative who visited the specific retail store. 11 is a view showing a screen of a dealer terminal provided with past performance information on goods to be handled at a retail store from an order management server according to an exemplary embodiment of the present invention.

As shown in FIG. 11, when a dealer manager processes an order for a specific product using the dealer terminal 300, it is possible to determine whether or not a product requested to be placed on the display 320 (see FIG. 2) of the dealer terminal 300 Information is displayed. At this time, when the dealer agent clicks the corresponding product code, information such as the recent ordering performance (for example, the ordering result in the last 3 months), the average ordering quantity or the immediately preceding ordering quantity of the corresponding product at the corresponding retail store is transmitted to the dealer terminal 300). At the same time, information such as recent average ordering performance (for example, average order quantity in the last three months) and average order quantity at other retail stores having similar merchandise orders, store sizes, 300).

The dealer representative can perform guidance on the order quantity at the retail store that requested the order, based on data such as recent order performance for the corresponding product at another retail store, for example, at another retail store with similar merchandise and sales. For example, a dealer representative can actively guide the need to increase the order quantity for a specific product, which will lead to active sales of the product.

The purchase information display unit 264 presents purchase information to the dealer terminal 300 based on the quantity of the ordered product and the ordering product when the customer orders the product at the retail store through the dealer terminal 300. When the merchandise order requested by a specific retail store is received through the dealer terminal 300, the delivery manager 266 requests the merchandise to be delivered to the retail store that requested the order, and provides the delivery information to the dealer terminal 300. The dealer terminal 300 can access the order management server 200A and inquire the delivery status of the goods linked thereto based on the purchase information and the like.

In the first embodiment of the present invention, the order management server 200A sends the order information (see FIG. 1) to the logistics server 400 (see FIG. 1) provided in the logistics warehouse for storing the goods, Order item, quantity, and retailer information). The logistics server 400 (see FIG. 1) instructs the shipper terminal 500 (see FIG. 1) to issue the goods and deliver the goods to the shipper terminal 500 and a GPS And provides the delivery status to the order management server 200A on the basis of the delivery status. Accordingly, the dealer manager can access the order management server 200A and inquire and confirm the delivery status of the goods ordered in the specific retail store.

The sales analysis module 270 provides the dealer terminal 300 with sales information related to the order history performed through the dealer terminal 300. Illustratively, the sales analysis module 270 includes a sales performance inquiry unit 272, an untrained retail store inquiry unit 274, an unprocessed product inquiry unit 276, a promotional event inquiry unit 277, and an inventory status inquiry unit 278 ).

The sales performance inquiry unit 272 is configured to determine sales performance / sales profit performed by a specific dealer and / or a dealer representative, sales performance through other accounts, The delivery rate at which the actual order has been placed with respect to the quantity of the order placed, the transaction book at the specific retail store, the direct delivery rate at the headquarters among the goods received and received, and the marketing or sales activity details at the specific retail store, . The dealer representative can confirm and inquire about these sales information by operating the dealer terminal 300. [

The untrained retail store inquiry unit 274 provides the dealer terminal 300 with information on the retail stores that are not handling the specific commodities by the operation of the dealer terminal 300, The dealer terminal 300 provides product information not handled by the specific retail store to the dealer terminal 300 by operating the dealer terminal 300. [ The dealer manager can inquire about the unused items displayed on the display 320 (see FIG. 2) of the dealer terminal 300 and the untrained items. Based on the inquired information, the customer visits the relevant retail store, , Or request an order for an untrained item.

The promotional event inquiry unit 277 receives information on various promotional events currently underway, for example, retail stores for promotional events, promotional event products, and promotional events at dealers, And provides it to the terminal 300. A dealer manager can request an active order for a specific retail store, a specific product, etc., based on these promotional event information searched by a dealer terminal.

The inventory status inquiry unit 278 displays the inventory status of a specific product being stored managed by the logistics server 400 (see FIG. 1), for example, by the operation of the dealer terminal 300, Inventory status, and the like to the dealer terminal 300.

The information management module 280 may include, for example, a retail store inquiry unit 282, a goods / unit price inquiry unit 284, a course registration unit 286, a schedule management unit 287 and an announcement inquiry unit 288 have. The dealer manager can confirm the retail shop related information provided by the retail store inquiry unit 282 by operating the dealer terminal 300 or can confirm the information related to the unit price of the specific commodity or the commodity provided from the commodity unit price inquiry unit 284 . The course registering unit 286 manages the moving course of the retail store to be visited within the jurisdiction area of the dealer dealer for a certain period of time by the dealer manager. As described above, since the dealer terminal 300 is equipped with the GPS 360 (see FIG. 2), the route of the retail store or the like visited by the dealer representative during a predetermined period is transferred from the dealer terminal 300 to the order management server 200A Lt; / RTI > Therefore, it is possible to evaluate the sales activities and the like of the dealer representative based on the route or the like transferred from the dealer terminal 300 to the order management server 200A.

The schedule management unit 287 presents the schedule information recorded by the dealer representative in charge by the operation of the dealer terminal 300 to the dealer terminal 300 in connection with the business process of the dealer representative. The announcement inquiry unit 288 provides notifications to the dealer terminal 300 at the headquarters level or the dealer level.

The schedule management unit 287 and the announcement inquiry unit 288 are both included in the information management module 280. The schedule management unit 287 and the announcement inquiry unit 288 are independent of the information management module, Modules, for example, other business management modules.

As described above, the order management server of the present invention generates and extracts a forecasted merchandise order list at a specific retail store based on past order results at a retail store, etc., transmitted from a dealer terminal or the like, and provides the list to the dealer terminal. It suggests the movement route of high retailers. Dealer salespeople can visit systematic, scientific, and efficient ordering processes only by visiting retailers with high possibility of ordering. Instead of visiting a retail store that is not likely to be ordered, it is possible to conduct efficient merchandising by visiting a non-traded retail store or a non-commodity retail store to promote commodity trading at the head office.

In addition, the order management server may present the order history of the similar type of other retailer, which has traded the relevant product, to the dealer terminal in relation to the untrained product in the specific retail store, or may transmit profile information and / And provides the information to the dealer terminal. By presenting an objective order history, it is possible to engage in transactions and orders for untreated goods, enabling active marketing.

Next, a product order management method using a goods order management system according to the first embodiment of the present invention will be described. 4 is a view schematically showing a process of placing an order for goods between an order management server and a dealer terminal in the case where there is a separate logistics server according to an exemplary embodiment of the present invention.

As shown in FIG. 4, the order management server collects and analyzes the past order history at a specific retail store provided from the dealer terminal, the logistics data of the goods provided from the logistics server if necessary, A forecasted order quantity of a specific retail store, a forecasted product order list such as a forecasted order item is generated and extracted (step S410). The dealer dealer or dealer can use the dealer terminal to store the information such as the type and quantity of the goods requested by the specific retail store in the jurisdiction area to the order management server Lt; / RTI >

Meanwhile, although not shown in the drawings, the dealer can transmit the content of the promotional event conducted at the dealer level to the order management server, and can implement the product order taking into consideration the promotional event performed at the dealership level in the order management server . In addition, the order management server may announce a promotion event for a specific retail store or a specific product, and may implement sales or order according to the conditions of a promotional event for the retail store or product.

The order management server transmits the generated forecasted upper order purchase order to the dealer terminal (S415), and provides a route of movement between the retail stores predicted to request the product ordering based on the extracted order of the forecasted merchandise to the dealer terminal , The order forecast retail store is displayed on the dealer terminal (step S420). In one exemplary embodiment, the order management server is a server for managing a specific day (for example, a date when a dealer manager performs sales, or a forecasted merchandise order history to a dealer manager, The distribution route between the retail stores, which is expected to have a high possibility of ordering goods in order, is provided to the dealer terminal, with the retailer having a high possibility of requesting the product ordering as a priority. For example, it is possible to sequentially provide the route between the retail stores to the dealer terminal in descending order of the possibility of requesting the product order, with the retailer having the highest possibility of requesting the product order on a particular day as the highest priority.

Alternatively, the operation of the dealer terminal allows the order management server to determine whether the shortest movement route between the retail stores, which is predicted to request the product placement on a particular day, or the shortest movement route, (Or the order quantity is expected to be large) sequentially from the order management server to the dealer terminal may be provided from the order management server to the dealer terminal. If necessary, the order management server may present / present the information and the movement route of the retailer that has not traded the main product in the dealer jurisdiction to the dealer terminal, or the information of the non-transaction retailer that does not handle the specific product, To the dealer terminal.

A dealer manager can visit a retail store that has a high possibility of placing an order, or visit a retail store with the highest order amount based on the retail store information provided from the order management server to the dealer terminal, And performs sales such as ordering goods (step S425). Basically, the dealer manager reads and inputs product information requested by a specific retail store using a dealer terminal, and orders, sells, collects, purchases, and delivers the product.

In the exemplary embodiment, the dealer representative can inquire at a dealer terminal or the like about promotion events conducted at a specific retail store, promotional events conducted for specific products, and promotional events conducted at the dealer level, You can do it.

On the other hand, regarding the products handled by the retail store, it is possible to encourage the ordering and sales of the products by presenting the order data at the other retail stores having similar merchandise and sales. Alternatively, the dealer manager may request an order for an untrained item, purchase the untrained item while notifying the untrained item at the retail store using the dealer terminal.

In particular, the dealer manager receives the un-traded merchandise (un-traded retail store) and the un-merchandised merchandise information provided from the order management server, and guides the un-traded merchandise and untrained merchandise on the basis thereof. For example, the dealer manager can request the order management server for product information about the goods to be handled and untreated goods using the dealer terminal at the request of the retailer manager (step S425). On the other hand, the order management server can provide the dealer terminal with information such as profile information about the goods requested from the dealer terminal, product information including the advertisement information, past past orders in the specific retail store, and so on in step S435. Accordingly, the dealer manager can invite the retail store manager to order not-yet-handled merchandise at the retail store, as well as the order quantity for the merchandise handled.

In one exemplary embodiment, if there is a request from the retail store manager, the dealer agent can request the order management server for profile information and / or advertisement information about untrained goods using the dealer terminal (step S425). The order management server presents the profile information and / or the advertisement information of the corresponding untrained goods requested from the dealer terminal to the dealer terminal (step S430). At this time, for example, the order management server transmits the link address where the profile information and / or the advertisement information about the untrained goods are posted to the dealer terminal in the form of a short message, and when the dealer agent selects the link address, Profile information and / or advertisement information about the goods may be displayed to the dealer terminal. In an alternative embodiment, the dealer representative clicks the message on the screen displayed on the display of the dealer terminal to transmit the link page address where the advertisement is posted to the terminal of the retail store manager (not shown) as a message, .

If necessary, the dealer representative can present the order data to the retailer manager for the untrained item at the other retail store, while inviting the retailer to order the untrained item at the retailer. Specifically, the dealer manager requests an order for an untreated product from another retail store (for example, another retail store whose merchandise and sales are similar) that trades the untrained goods at the retail store visited using the dealer terminal (S425 step). The order management server provides the dealer terminal with the order history of the untreated goods at the retail store having similar merchandise sales and sales in relation to the corresponding untrained goods requested by the dealer terminal at step S430, To request the order with reliability.

In response to a request from the retail store manager, the dealer manager requests an order for a product at a specific retail store using the dealer terminal (S435), and requests the order management server to order and deliver the product requested by the retail store using the dealer terminal (Step S440). 12 is a view showing a screen of a dealer terminal for requesting an order for a handled product at a specific retail store, according to an exemplary embodiment of the present invention. Optionally, the commodity order request, ordering and delivery request may be performed in one step. In this manner, the sales information such as order, sale, collection, and purchase history of the specific retail store transmitted from the dealer terminal is stored in the order management server (S445). The order management server may collect and analyze the data of the commodity order history requested by the specific retail store and utilize it as basic data for generating and extracting the order of the forecasted commodity at the future specific retail store.

In step S450, the order management server having received the sales data such as the order of the goods requested from the dealer terminal to the specific retail store requests the delivery server to deliver the requested goods based on the order history. After considering the inventory situation, the logistics server instructs the delivery terminal to deliver the ordered commodity commissioned from the order management server (step S455), and transmits the delivery information according to the delivery status transmitted from the delivery terminal to the order management server (Step S460A), and provides it to the dealer terminal via the order management server (step S460B). The dealer manager who receives the delivery information provides the order management server with the purchase information performed at the specific retail store using the dealer terminal (S465). The order management server stores the purchase information and utilizes the purchase information as sales data.

In the figure, only a commodity delivery request performed at the main office level is shown. However, if it is possible to deliver the commodity at the dealer level, the dealer representative directly or through the order management server sends the order details requested at the specific retail store The user can request the delivery of the product based on the received information. In this case, the delivery information is provided to the order management server from the distributor terminal of the dealer terminal, and can be provided to the dealer terminal directly via the order management server or directly from the distributor terminal.

Through this method, dealers can visit systematic, scientific, efficient order processing and sales as they only need to visit retailers with high possibility of ordering. In addition, the order management server can induce transactions and orders for untreated goods by presenting objective order details, thereby enabling active marketing.

2 to 4, a goods order management system having a goods distribution server separate from the order management server and a method of managing goods order management using the system are described. However, the logistics server can be managed by the order management server without separately providing the logistics server. 5 is a block diagram schematically showing a module and a component constituting an order management server and a dealer terminal constituting a commodity order management system when there is no separate logistics server according to another exemplary embodiment of the present invention And FIG. 6 is a block diagram showing, in functional granularity, the configuration of each module included in the order management server in the case where there is no separate logistics server according to another exemplary embodiment of the present invention. Only modules and components that are different from those described in detail in Figs. 2 to 3 will be described in detail.

5 and 6, the order management server 200B of the goods order management system 100B according to the second embodiment of the present invention includes an interface module 210, a database module (DB module, And a course recommendation module 240. The marketing management module 250 includes a business management module 260B, a sales analysis module 270, an information management module 260, (280), a goods management module (290), and a controller (202) for controlling these modules.

The interface module 210 provides an access environment to the dealer terminal 300 connected to the order management server 200A through a communication network. The DB module 220 includes a dealer DB 222 for storing and managing information related to dealers, a retail store DB 224 for storing and managing information on the retail stores in a specific region in accordance with the local information of the dealers, And a marketing DB 228 for storing and managing promotional events, product profile information, and / or advertisement information.

The order prediction module 230 includes an order analysis unit 232 for collecting and analyzing past order history and logistics information at a specific retail store to generate a forecast product order history, And an order extracting unit 234 for providing an order.

The course recommendation module 240 provides information on the retail store, which is expected to be ordered, to the dealer terminal 300 together with the movement route, based on the forecasted order information of the retail store extracted by the order prediction module 230 and the like. The course recommendation module 240 refers to the recommendation section 242 for each day of the week to present the route of the retail store to the dealer terminal based on the forecasted product order list extracted by the order forecast module 230, And a retail store recommendation unit 244 for presenting the retail store information predicted to have the shortest travel route and / or the estimated ordering amount of money and the travel route of these retail stores to the dealer terminal 300. In addition, the course recommendation module 240 includes a seller's account display section 246 for presenting non-deal retail shop information and / or a movement route of these retail stores to the dealer terminal 300, (247) for presenting to the dealer terminal (300) information about the retail store information and / or the movement route of these retail stores, and a direct delivery display section (248) for presenting information on the position and the like of the deliverer to the dealer terminal (300) .

The marketing management module 250 includes an event guide unit 250 for each retail store, a product event guide unit 254, a dealer event guide unit 256, a product information / advertisement information unit (product information guide unit 257) A component 258, and the like.

The business management module 260B provides the dealer terminal 300 with information on the goods requested for ordering through the dealer terminal 300. [ The business management module 260B has a sales management unit 262 for processing the business related to the order processing of the goods requested from the retailer visited by the dealer manager, and purchase information based on the quantity of the ordered product and the order product, etc. to the dealer terminal 300 And an embedded information display unit 264 for presenting the embedded information.

Also, the sales analysis module 270 provides the dealer terminal 300 with sales information related to the order history performed through the dealer terminal 300. Illustratively, the sales analysis module 270 includes a sales performance inquiry unit 272, an untrained retail store inquiry unit 274, an unprocessed product inquiry unit 276, a promotional event inquiry unit 277, and an inventory status inquiry unit 278 ). The information management module 280 may include, for example, a retail store inquiry unit 282, a goods / unit price inquiry unit 284, a course registration unit 286, a schedule management unit 287 and an announcement inquiry unit 288 have.

The schedule management unit 287 presents the schedule information recorded by the dealer representative in charge by the operation of the dealer terminal 300 to the dealer terminal 300 in connection with the business process of the dealer representative. The announcement inquiry unit 288 provides notifications to the dealer terminal 300 at the headquarters level or the dealer level.

According to the second embodiment of the present invention, the order management server 200B is configured to directly process storage and delivery of goods requested for placement from the dealer terminal 300. [ To this end, the order management server 200B includes a logistics management module 290 for processing and managing delivery of goods ordered by the retailer from the dealer terminal 300 to the retail store.

In the exemplary embodiment, the goods management module 290 includes an inventory management unit 292 for managing the inventory status of goods stored in a warehouse or the like operated and managed by the head office, And a delivery inquiry unit 296 for providing information on the delivery status to the dealer terminal by a method of identifying the position of the sender terminal or the like.

Also in the second embodiment of the present invention, it is possible to generate and extract the forecasted merchandise order details at a specific retail store through a scientific method based on the sales information and the logistics information including the past order history of the retail stores in the area, And provides the movement path of the order forecast retail store together to the dealer terminal. As a result, dealers can visit the retailers that are most likely to place orders first and efficiently perform sales. Since it is possible to process the order efficiently, it is possible to systematically carry out the transaction of the head office product by visiting the customer's retailer.

In addition, it is possible to objectively present the profit or loss through sales of the untrained product by providing the dealer terminal with the order history at the other retailer having similar merchandise and sales to the untreated merchandise at the specific retail store. Accordingly, the dealer manager can actively promote marketing of unprocessed products at the retailer centering on new products based on such objective ordering history, thereby expanding the order of the unprocessed products.

Next, a product order management method using the goods order management system according to the second embodiment of the present invention will be described with reference to FIG. 7 is a view schematically showing a process of placing an order for goods between an order management server and a dealer terminal in the case where there is no separate logistics server according to an exemplary embodiment of the present invention. The steps and / or configurations differ from those of the merchandise order management method according to the first embodiment of the present invention described in FIG.

As shown in FIG. 7, the order management server generates and extracts the forecasted merchandise order details at a specific retail store based on the sales information and the distribution information (S710). For this, sales information including ordering information at a specific retail store may be provided from the dealer terminal to the order management server. The order management server transmits the forecasted merchandise order history to the dealer terminal (S715), and presents the order forecast retail store to the dealer terminal by presenting the retail store information highly likely to be ordered on a specific day and / And displays it on the terminal (S720).

On the basis of the retailer information indicated on the dealer terminal, the dealer manager visits the retail store, conducts sales such as an ordering request, and guides the customer (dealer) and / or untrained merchandise if necessary (step S725 ). If necessary, the dealer manager can request the order management server to provide information on the untrained goods of the retail store and / or orders from other retail stores that are similar in merchandise and sales to untreated goods, using the dealer terminal. The order management server provides the dealer terminal with the information on the untrained goods requested by the dealer terminal and / or the order history of the retail store with similar merchandise and sales in step S730. Based on such information, the dealer manager requests the ordering of the specific commodity commissioned by the retail store manager using the dealer terminal (S735), requests the order management server to deliver the requested commodity (S740) Stores the sales information such as order details (S745), and uses it as information for generating and extracting a forecasted merchandise order in the retail store in the future.

The order management server grasps the status of inventory and the like, instructs the distributor terminal to deliver the goods ordered by the dealer terminal (S750), receives the location information of the distributor terminal and the like, To the terminal (S755).

In the figure, only a commodity delivery request performed at the main office level is shown. However, if it is possible to deliver the commodity at the dealer level, the dealer representative directly or through the order management server sends the order details requested at the specific retail store The user can request the delivery of the product based on the received information. In this case, the delivery information is provided to the order management server from the distributor terminal of the dealer terminal, and can be provided to the dealer terminal directly via the order management server or directly from the distributor terminal.

The dealer manager who receives the delivery information provides the order management server with the purchase information performed at the specific retail store using the dealer terminal (S760), and the order management server stores the purchase information and uses it as sales data.

Through this method, dealers can visit systematic, scientific, efficient order processing and sales as they only need to visit retailers with high possibility of ordering. In addition, the order management server can induce transactions and orders for untreated goods by presenting objective order details, thereby enabling active marketing.

Although the present invention has been described based on the exemplary embodiments and examples of the present invention, the present invention is not limited to the technical ideas described in the above-described embodiments and examples. Those skilled in the art will appreciate that various modifications and changes may be made without departing from the scope of the present invention. It will be apparent, however, that such modifications and changes are all within the scope of the present invention.

100, 100A, 100B: Commodity order management system
200, 200A, 200B: an order management server
210: interface module 220: database module
230: order prediction module 240: course recommendation module
250: Marketing management module 260A, 260B: Business management module
270: Sales Analysis Module 280: Information Management Module
290: Logistics management module 300: Dealer terminal
400: Logistics server 500: Shipper terminal

Claims (15)

A commodity order management system using a dealer terminal connected to an order management server via a communication network,
A dealer terminal transmitting a product description requested by the retailer to the order management server;
Extracting a forecasted commodity purchase order that is expected to be ordered at each retail store based on the past order history of the retail store sent from the dealer terminal, transmitting the extracted forecast merchandise order to the dealer terminal, An order management server for presenting, to the dealer terminal, a movement route between the retail stores predicted to request the product ordering based on the ordered product order history, and a movement route to the non-dealer retail store that is not in deal with the dealer dealer, A route between the retail stores expected to have a high possibility of ordering goods sequentially and a retail store predicted to request an order for goods with priority given to the retail stores having a high possibility of requesting an order for goods on the basis of the forecasted goods order history of the goods The shortest route or the amount of order should be the largest , A route between the retail stores predicted to have a large order amount sequentially with priority given to the retail store predicted by the customer, information on the retail location of the non-supplier, route information about the untrained retail store that does not handle a specific product And an order management server
And a goods order management system.
The method according to claim 1,
Wherein the order management server further provides marketing information on untrained goods requested by the dealer terminal to the dealer terminal.
The method according to claim 1,
Wherein the order management server is further operable to issue an order for goods to be further provided to the dealer terminal at the retail store having similar merchandise sales and sales in relation to untrained goods at the retail store, Management system.
The method according to claim 1,
Wherein the order management server comprises:
An order prediction module for extracting a forecasted commodity purchase order that is expected to be ordered at each retail store based on the past order history of the retail store sent from the dealer terminal and providing the extracted forecast to the dealer terminal,
A movement path between the retail stores expected to request an order for goods based on the forecasted product order history extracted by the order forecast module, information and movement path for the non-customer retailer, and an untreated A course recommendation module for providing information on a retail store and a travel route to the dealer terminal, the shop recommendation module comprising: a recommendation module that, based on the forecast item order history extracted by the order forecast module, A shortest path between the recommendation unit for each day providing the route between the retailers expected to have a high possibility of ordering and a retail store expected to request the order for the goods or a retail store predicted to have the greatest amount of order, The order amount expected to be large And an unprocessed destination display unit for providing information on the untrained retail store and a route to the untrained retailer, and an unprocessed destination display unit A course recommendation module,
And a marketing management module for providing the dealer terminal with the marketing information on the untrained goods at the retail store requested by the dealer terminal and the ordering details at the other retail stores related to the untrained product.
delete 5. The method of claim 4,
Wherein the marketing management module comprises: an event guide unit for each retail store for presenting a retail store targeted for a promotion event to the dealer terminal; a product-specific event guide unit for presenting a product to be promoted to the dealer terminal; A merchandise information guide unit for presenting merchandise information to the dealer terminal, profile information and advertisement information about untrained merchandise at the retail store, And an order history information unit for analyzing the order history of the other retail stores and presenting the same to the dealer terminal.
The method according to claim 6,
Wherein the product information guide unit presents the link page address at which an advertisement for untreated goods of the retail store is posted to the dealer terminal to appear on the dealer terminal.
5. The method of claim 4,
Wherein the order management server comprises:
A business management module for providing the dealer terminal with information on a product requested to be ordered through the dealer terminal;
A sales analysis module for providing sales information related to an order made through the dealer terminal to the dealer terminal;
And an information management module for providing the dealer terminal information and the information related to the goods to the dealer terminal.
9. The method of claim 8,
Wherein the order management server further comprises a logistics management module that manages the delivery of the commodity requested for an order at the retail store sent from the dealer terminal to the order management server to the retail store.
5. The method according to any one of claims 1 to 4,
Further comprising: a distribution server that manages the delivery of the commodity requested to be ordered from the dealer terminal to the retail store, which is transmitted from the dealer terminal to the order management server.
A product order management method using a dealer terminal connected to an order management server via a communication network,
(a) the merchandise details requested by the retailer are transmitted from the dealer terminal to the order management server;
(b) extracting, from the order management server, a forecasted commodity purchase order that is expected to be ordered at each retail store based on the past order history of the retail store sent from the dealer terminal;
(c) transmitting the extracted forecast product order history from the order management server to the dealer terminal;
(d) a movement path between the retail stores predicted to request the product ordering based on the extracted forecast product order history extracted from the order management server, and a movement path for the non-dealer retailer that does not deal with the dealer dealer, A route between the retail stores predicted to have a high possibility of placing an order of merchandise in order of preference to a retail store likely to request an order for goods based on the forecasted merchandise order history extracted from the order management server, A movement path between the retail stores where the order amount is expected to be large in order of the shortest movement route between the retail stores predicted to request the goods order or the retail stores that are expected to have the largest order amount as the priority, Information and travel routes, and specific products Phase information and the moving path for the non-treated retailer that is not the terminal to be presented to the dealer
And managing the goods order.
delete delete 12. The method of claim 11,
The method of claim 1, further comprising: after the step (d), requesting the order management server for information on an untrained item of the retail store by the dealer terminal; and receiving profile information and advertisement information of the untraced article from the order management server Further comprising the step of providing the product to the dealer terminal.
12. The method of claim 11,
The step (d) includes a step of requesting the order management server to place an order for the untreated goods in the retail store where the untrained goods are traded by the dealer terminal, Further comprising the step of providing an ordering status of the untrained goods at another retail store that has traded the untrained goods from the order management server to the dealer terminal.
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