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 PDFInfo
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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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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/28—Logistics, e.g. warehousing, loading, distribution or shipping
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS 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
- Y04S50/00—Market activities related to the operation of systems integrating technologies related to power network operation or related to communication or information technologies
- Y04S50/14—Marketing, 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
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.
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
WI-FI, 3G, 4G (for example, LTE-based), the
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A non-limiting example of the
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The modules and components constituting the
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.
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In the data preparation step, the
More specifically, in the data preparation step, the
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
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.
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8 schematically shows a screen provided by the
As described above, the
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
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
In this case, by the operation of the
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
In the case where an article of merchandise is received from a
The
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
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
The product information / advertisement information unit (product information information unit) 257 provides the
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
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
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
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
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As shown in FIG. 11, when a dealer manager processes an order for a specific product using the
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.
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In the first embodiment of the present invention, the
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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
The
The
The
The
The
Also, the
The
According to the second embodiment of the present invention, the
In the exemplary embodiment, the
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:
270: Sales Analysis Module 280: Information Management Module
290: Logistics management module 300: Dealer terminal
400: Logistics server 500: Shipper terminal
Claims (15)
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.
Wherein the order management server further provides marketing information on untrained goods requested by the dealer terminal to the dealer terminal.
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.
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.
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.
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.
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.
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.
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) 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.
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.
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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KR102083317B1 (en) | 2019-09-09 | 2020-03-02 | 도기환 | The method for providing comparative quotations and for controlling automatic orders through searching raw material of cosmetic |
KR102326583B1 (en) | 2021-08-19 | 2021-11-15 | (주)제이케이씨앤피 | Method, device and system for managing inventory based on purchase and sales |
KR102496023B1 (en) | 2022-11-11 | 2023-02-06 | (주)파워텔레콤 | Integrated ordering management system with automatic ordering monitoring function and method thereof |
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