JP2022006979A - Server system, control method thereof and program - Google Patents

Abstract

To provide a server system, a control method, and a control program that allow an advertisement distribution effect to be objectively grasped.SOLUTION: An information processing server system 1 for collecting and storing purchase information on articles in retail stores includes: an advertisement information setting processing unit that sets advertisement information that is information regarding advertisements of articles on sale at the retail stores in response to a request from a client terminal; a distribution processing unit that generates distribution target information based on the set advertisement information and distributes the same to advertisement media related to customers of the retail stores; and effect-related information providing means for generating effect-related information to quantitatively and visually present information related to an advertisement effect based on the purchase information and providing the same to the client terminal.SELECTED DRAWING: Figure 10

Description

The present invention relates to a server system or the like that manages purchase information or the like of a product.

In retail stores, it is widespread to manage product purchase information by a POS (Point Of Sales) system. According to the POS system, it is possible to manage information such as when, what kind of product was sold, how much, and how much.

On the other hand, in recent years, various systems linked with the POS system have been studied. For example, Patent Document 1 discloses a system for notifying a privilege information given to a product from a server of a product maker to a POS terminal.

Japanese Unexamined Patent Publication No. 2016-53921

However, in the conventional system, it is not easy to grasp the effect, that is, the advertising effect, even if the privilege is given.

For example, in order to grasp the advertising effect in the conventional configuration, it was necessary to extract purchase information such as the corresponding period and category from the POS system and use spreadsheet software to reorganize and analyze the data. However, the load of this series of work was high, and it was difficult for busy retail store personnel to do it. As a result, the evaluation of the advertising effect ultimately depends on the subjectivity of the person in charge, and the following advertising measures may be taken under the unclear advertising effect. In addition, it was even more difficult to know the advertising effect at the retail store from the outside standpoint of the manufacturer or the like that carried out the campaign such as product advertisement or sales promotion.

The present invention has been made under the above-mentioned technical background, and an object of the present invention is to provide a server system or the like capable of objectively grasping the effect of advertisement distribution.

The above-mentioned technical problem can be solved by a server system or the like having the following configuration.

That is, the server system according to the present invention is a server system that collects and stores purchase information of products at a retail store, and relates to an advertisement for a product sold at the retail store in response to a request from a client terminal. An advertisement information setting unit that sets advertisement information, which is information, and a distribution unit that generates distribution target information based on the set advertisement information and distributes it to an advertisement medium related to a customer of the retail store. It is provided with an effect-related information providing unit that generates effect-related information that quantitatively and visually presents information related to the effect of the advertisement based on the purchase information and provides the effect-related information to the client terminal.

According to such a configuration, since the information corresponding to the advertisement effect is presented quantitatively and visually after the advertisement is delivered, the user of the client terminal can objectively and easily grasp the advertisement effect. .. In addition, since the advertising measures can be evaluated, the advertising measures can be gradually improved, and eventually the sales in the retail stores can be improved. It should be noted that the term "advertisement" here has a broad meaning including all information that may lead to sales promotion.

The client terminal may include a retail store client terminal and a manufacturer client terminal.

According to such a configuration, the retail store can improve the advertisement distribution performed by itself or effectively distribute the advertisement set by the manufacturer, so that it is possible to improve the sales in the store. In addition, for the manufacturer, it is possible to deliver the advertisement directly from the manufacturer to the advertising medium related to the customer of the retail store while confirming the advertising effect based on the purchase information of the retail store, so while conducting a quantitative analysis. It can improve the sales of own products and brand awareness.

The request is a request from the client terminal for the manufacturer, and the distribution unit further provides the set advertisement information to the client terminal for the retail store, and the advertisement information by the client terminal for the retail store. It may be provided with an approval processing unit that enables approval of the above-mentioned advertisement information, and distributes the distribution target information based on the approved advertisement information to the advertisement medium related to the customer of the retail store.

With such a configuration, the retail store can approve the advertisement information set by the manufacturer terminal, so that the content of the advertisement information from the manufacturer is examined and the advertisement information considered to be more useful for the retail store is selected. Can be provided. Also, better advertising information can be approved when there are multiple requests.

The advertisement information includes the target information of the advertisement, the distribution unit specifies the advertisement medium to be the distribution destination based on the target information, and the distribution target information is delivered to the customer of the retail store according to the distribution destination. It may be provided with a selective distribution unit for distribution to an advertising medium related to the above.

According to such a configuration, since the delivery destination is set according to the advertising target, it is possible to selectively deliver the advertisement to the customer having a high advertising effect.

The server system further includes an inference processing unit that generates a distribution destination advertisement medium list from the advertisement information based on a learned model obtained by machine learning, and the distribution unit is added to the advertisement medium list. Based on this, the distribution target information may be distributed.

According to such a configuration, it is possible to deliver to a delivery destination inferred to have a high advertising effect based on the machine learning technique, so that the advertising effect can be enhanced.

The purchase information is stored in association with the customer ID used in the retail store system, and the server system further obtains the member information of the retail store including the member ID, and the member information acquisition unit and the said. It may be provided with a related processing unit that associates the customer ID with the member ID by collating the purchase information with the member information.

According to such a configuration, the customer ID and the member ID can be collated and associated with each other based on predetermined information on the server side, so that the confidentiality and safety at the time of collecting information can be improved. , It becomes possible to centrally manage customer information together with purchase information in the server system.

The member information includes the location information of the mobile terminal used by the member, and the related processing unit associates the customer ID with the member ID by collating the purchase information with the location information. It may be a thing.

According to such a configuration, the customer ID and the member ID can be accurately associated with each other from the location information.

The advertisement information may include the target information of the advertisement, and the effect-related information may include the analysis result of the purchase information corresponding to the target of the advertisement.

With such a configuration, the analysis result according to the goal of the advertisement is generated, so that the validity of the advertising measure can be judged more quickly and accurately.

The effect-related information may include the main point information of the analysis result corresponding to the target information and the quantitative information which is the basis of the main point information.

With such a configuration, the main points of the analysis result and the quantity information on which the analysis result is based can be confirmed at a glance, so that the advertising effect can be easily and quickly grasped.

In the advertisement information setting unit, the advertisement information may include information about a planning shelf of the retail store.

According to such a configuration, advertising information can be set for a planning shelf having a high advertising effect. As a result, the person in charge of the manufacturer or the like can propose a campaign on the planning shelf to the retail store, and the advertisement result can be directly obtained visually and quantitatively.

The advertising information may include product information to be advertised, a period, and a budget.

According to such a configuration, the product to be advertised, the period, and the budget can be specifically presented and presented to the client terminal for the retail store, so that the retail store can examine the content of the advertisement.

The advertising information may include information about the target customer.

According to such a configuration, the target customer of the advertisement can be specifically presented and presented to the client terminal for the retail store, so that the retail store can examine and approve the content of the advertisement.

The advertising information may include coupon information about products sold at the retail store.

According to such a configuration, since the information regarding the coupon can be specifically presented and presented to the client terminal for the retail store, the retail store can examine and approve the content of the advertisement.

The advertisement information may include text information and image information included in the distribution target information.

According to such a configuration, since the information regarding the coupon can be specifically presented and presented to the client terminal for the retail store, the retail store can examine and approve the content of the advertisement.

It may further include a storage unit that stores and stores the set advertisement information and effect-related information that is information related to the effect of the advertisement corresponding to the advertisement information.

According to such a configuration, since the set advertisement information and the information related to the advertisement effect are accumulated, it is possible to provide the basic data such as the improvement regarding the future advertisement.

The distribution target information may be generated based on the accumulated effect-related information.

According to such a configuration, since the distribution target information is generated based on the effect-related information, it is possible to automatically generate the distribution target information that is predicted to have a high advertising effect, for example.

An effect-based advertisement information setting unit that sets the advertisement information so as to increase the advertisement effect based on the accumulated effect-related information may be further provided.

According to such a configuration, it is possible to easily set the advertising information so as to increase the advertising effect based on the accumulated information.

The advertisement information may include the target information of the advertisement, and the effect-related information may be generated according to the target information.

According to such a configuration, the advertising effect can be set for each target of the advertisement, so that the optimum advertising information can be set for each target.

The advertising medium may be application software for members of the retail store.

With such a configuration, it is possible to directly provide the advertising information to the members of the retail store.

The advertising medium may be an advertising display arranged in the retail store.

With such a configuration, it is possible to provide advertising information to a customer who visits a retail store.

The invention of the present application can also be considered as a method. That is, the method according to the present invention is a method for controlling a server system that collects and stores purchase information of products at a retail store, and is an advertisement for products sold at the retail store in response to a request from a client terminal. An advertising information setting step that sets advertising information that is information about the product, and a distribution step that generates distribution target information based on the set advertising information and distributes it to an advertising medium related to the customer of the retail store. It is provided with an effect-related information providing step of generating effect-related information that quantitatively and visually presents information related to the effect of the advertisement based on the purchase information and providing the effect-related information to the client terminal. ..

The invention of the present application can also be considered as a program. That is, the program according to the present invention is a control program of a server system that collects and stores purchase information of products at a retail store, and is an advertisement for products sold at the retail store in response to a request from a client terminal. An advertising information setting step that sets advertising information that is information about the product, and a distribution step that generates distribution target information based on the set advertising information and distributes it to an advertising medium related to the customer of the retail store. It is provided with an effect-related information providing step of generating effect-related information that quantitatively and visually presents information related to the effect of the advertisement based on the purchase information and providing the effect-related information to the client terminal. ..

According to the present invention, the user of the client terminal can objectively and easily grasp the advertising effect. As a result, the advertising measures can be gradually improved, and eventually the sales in the retail stores can be improved.

Still other objects of the invention, as well as effects, will be readily appreciated by those of skill in the art by reference to the following description of the specification.

FIG. 1 is an explanatory diagram showing an overall configuration of a purchasing information providing system. FIG. 2 is a table showing an example of purchasing information. FIG. 3 is a flowchart showing a collation process between the customer ID and the member ID. FIG. 4 is a flowchart relating to the mode selection process. FIG. 5 is a functional block diagram of an information processing server system that performs a purchase information analysis mode. FIG. 6 is a detailed flowchart of the buying information analysis mode. FIG. 7 is a display example (No. 1) of a screen diagram showing the analysis result. FIG. 8 is a display example (No. 2) of a screen diagram showing the analysis result. FIG. 9 is a detailed flowchart of the advertisement setting mode processing. FIG. 10 is a functional block diagram of an information processing server system that performs advertisement information setting processing. FIG. 11 is a detailed flowchart of the advertisement information setting process. FIG. 12 is a display example of the advertisement information setting screen. FIG. 13 is a display example of the delivery estimation screen. FIG. 14 is a detailed flowchart of the delivery request approval process. FIG. 15 is a detailed flowchart of the distribution process. FIG. 16 is a flowchart showing a report generation process. FIG. 17 is an example of a screen diagram (No. 1) included in the report. FIG. 18 is an example of a screen diagram (No. 2) included in the report. FIG. 19 is an example of a screen diagram (No. 3) included in the report. FIG. 20 is an example of a screen diagram (No. 4) included in the report. FIG. 21 is a flowchart relating to the advertising effect analysis process. FIG. 22 is an explanatory diagram showing an example of stored advertisement distribution result data. FIG. 23 is a flowchart showing an operation example of the information processing apparatus in the advertisement information setting process. FIG. 24 is a display example of the advertisement information setting screen according to the modified example.

Hereinafter, an embodiment of the server system or the like according to the present invention will be described in detail with reference to the attached drawings.

(1. First Embodiment)
(1.1 Configuration)
FIG. 1 is an explanatory diagram showing an overall configuration of a purchasing information providing system. As is clear from the figure, the product purchase information providing system includes an information processing server system 1, a store system 3, a client terminal for retail stores 7, a client terminal for manufacturers 8, a data providing server 4, an application software management server 5, and the web. The advertising servers 6 are configured by being connected to each other via the Internet.

The store system 3 is an information processing system (so-called ID-POS system) arranged in a retail store, and is configured by connecting an information processing device 31, a cash register terminal 32, and a store database 34 to each other via a local network. Has been done. An advertising display 36 is further connected to the store system 3.

The cash register terminal 32 generates purchase information based on information input by a clerk or the like at the time of retailing. The generated purchase information is stored in the store database 34. Here, the purchase information includes customer ID information (age, gender, etc.) that identifies the customer, purchase time, price, purchase quantity, product identification information (product category, JAN code, etc.), store identification information, and the like. In addition, the store database 34 also manages and stores customer information such as member information of retail stores in association with the customer ID.

The information processing device 31 is an information processing device such as a personal computer, and can browse purchase information via a connected display and perform various settings and management related to the store system 3.

The advertising display 36 is a display arranged in the store and provides advertising information in cooperation with the information processing device 31 and the like. The advertising display 36 may be appropriately arranged at various places in the store, or may be arranged on a specific planning shelf or the like.

The information processing server system 1 is configured by connecting an information processing device 11, a data warehouse (DWH) 12, and a trained model storage unit 14 to each other via a local network.

The information processing device 11 makes an inquiry to the store system 3 of each retail store at predetermined intervals, and aggregates and stores the purchase information in the data warehouse 12. Further, the information processing apparatus 11 performs various processes based on purchase information, for example, various analysis processes described later.

The data warehouse 12 is a large-capacity storage device that organizes and stores various information, and stores various information described later such as analysis results and various report information in addition to purchasing information.

FIG. 2 is a table showing an example of purchasing information stored in the data warehouse 12. As is clear from the figure, the purchase information includes purchase date and time information (1, 2 in the same table), customer ID (3), store ID (4), receipt ID (5), product ID (6), and quantity ( 7), tax-included sales amount (8), tax-excluded sales amount (9), tax-included cost (10), tax-excluded cost (11), JAN code (12), first layer category ID (13), second layer category ID (14), 3rd layer category ID (15), 4th layer category ID (16), supplier ID (17), product brand ID (18), customer age (19), customer gender (20), and It contains a shelf ID (21) indicating which planning shelf the product is on. It should be noted that the purchase information is not limited to such an example, and may lack a part of the purchase information or may further include additional information.

The trained model storage unit 14 stores a trained model generated in advance by predetermined machine learning, and is used for various inference processes described later.

The retail store client terminal 7 is a client terminal used by a person in charge such as a retail store buyer, and as will be described later, information is transmitted and received to and from the information processing server system 1 to obtain various analysis results and the like. Can be obtained.

The maker client terminal 8 is a client terminal used by a person in charge of a maker who delivers a product to a retail store, and as will be described later, information is transmitted and received to and from the information processing server system 1 for various analyzes. Results etc. can be obtained.

In the following, the retail store client terminal 7 and the manufacturer client terminal 8 may be collectively referred to as a client terminal.

The data providing server 4 is a server device that provides the information processing server system 1 with all the information that can be used for analysis that may affect the purchasing behavior in a timely manner. Information available for analysis includes, for example, meteorological information, holiday information and other environmental factor information.

The application software management server 5 is a server that manages member information including a member ID, a terminal ID, purchased product information, and a member's personal information related to the application software issued by the retail store, and the application software issued by the retail store. Various information including the advertisement described later is distributed to the members of the downloaded retail store via the application software. Further, the application software management server 5 stores the location information of the terminal from which the application software has been downloaded as member information.

The web advertisement server 6 is a server that delivers web advertisements. The web advertisement server 6 receives and manages advertisement request information, and appropriately delivers a web advertisement to a specific advertisement medium.

(1.2 operation)
Next, the operation of the purchase information providing system according to the present embodiment will be described.

(1.2.1 Collation process between customer ID and member ID)
FIG. 3 is a flowchart showing a collation process between the customer ID and the member ID performed in the information processing apparatus 11.

As is clear from the figure, when the process starts, the information processing apparatus 11 performs a process of reading purchase information including a customer ID from the data warehouse 12 (S101). Further, the information processing apparatus 11 makes an inquiry to the application software management server 5 and performs a process of reading out the member information including the member ID (S102).

When the purchase information and the member information are read out, the information processing apparatus 11 performs collation processing between the information. In the present embodiment, the information processing apparatus 11 specifies information on when, who, and what kind of product was purchased from the purchase information, and also from the member information, when, who, in which store, what kind of product. Is specified as information as to whether or not the product has been purchased, and a collation process for determining the degree of matching between the information is performed (S104). At this time, for example, the presence or absence of a visit to the store may be determined using the position information of the member obtained by GPS or the like included in the member information, and the collation process may be performed accordingly.

As a result of this collation process, if it is determined that the predetermined condition is satisfied, such as when the predetermined degree of matching is exceeded (S106YES), a process of associating the customer ID and the member ID and storing them in the data warehouse 12 is performed. Do (S108). As a result, the information processing server system 1 can centrally manage the purchase information and the personal information even if the purchase information provided from the store system 3 does not include the personal information or the like. After that, the process returns to the beginning, and a series of processes (S101 to S106) are repeated again.

On the other hand, if the predetermined condition is not satisfied (S106NO), no processing is performed and a series of processing (S101 to S106) is repeated again.

According to such a configuration, the customer ID and the member ID can be collated and associated with each other based on predetermined information in the server system, so that it is not necessary to unnecessarily transmit personal information or the like at the time of data aggregation, and information is collected. It is possible to improve the safety of time. In addition, customer information, member information, and purchasing information can be centrally managed in the server system.

Further, by using the location information, the customer ID and the member ID can be associated with each other with high accuracy.

(1.2.2 Various mode processing)
Subsequently, various modes provided by the information processing server system 1 will be described.

FIG. 4 is a flowchart relating to the mode selection process performed between the client terminal and the information processing server system 1.

As is clear from the figure, when the process starts, the authentication process is performed between the client terminal and the information processing device 11 (S1). More specifically, in the authentication process, the user ID and password are provided from the client terminal to the information processing device 11, and whether or not the information processing device 11 matches the user information registered in advance based on the information. Authenticate by determining. At this time, it is determined whether or not the user is a user, and at the same time, it is also determined whether or not the user is a user as a retail store or a user as a manufacturer.

If the authentication fails as a result of the authentication process (S1) (S2NO), the authentication process is performed again (S1). At this time, if the authentication process fails a plurality of times, the login may be frozen.

If the authentication is successful as a result of the authentication process (S2) (S2YES), the information processing apparatus 11 provides the mode selection screen to the client terminal according to the type of user (retail store / manufacturer). The client terminal performs a process of displaying the provided mode selection screen (S3). After that, the information processing apparatus 11 reaches a predetermined standby state (S4NO).

In this state, when a signal for selecting one of the modes is received from the client terminal (S4YES), the information processing apparatus 11 processes the purchase information analysis mode (S6) or the advertisement setting mode according to the selected mode. Start any of (S7).

(Purchasing information analysis mode processing)
Hereinafter, the purchase information analysis mode processing (S6) will be described with reference to FIGS. 5 to 8.

FIG. 5 is a functional block diagram of the information processing server system 1 that performs the purchase information analysis mode. As is clear from the figure, the information processing device 11 is a data warehouse in response to a communication unit 161 that exchanges information with an external device including a client terminal and a request obtained via the communication unit 161. The information reading unit 162 that reads data from 12 and the analysis processing unit 163 that performs analysis processing of the read data and the like are connected to each other.

Further, the analysis processing unit 163 is further connected to the inference processing unit 164 that provides various inference processing results to the analysis processing unit 163 based on the predetermined learned model read from the learned model storage unit 14. There is.

FIG. 6 is a detailed flowchart regarding the purchase information analysis mode. The flowchart on the left side of the figure shows the operation of the client terminal, and the flowchart on the right side of the figure shows the operation of the information processing apparatus 11.

When the process starts, the information processing apparatus 11 performs a process of identifying whether the user is a user as a retail store or a user as a manufacturer (S601). After that, the information processing apparatus 11 performs a process of providing the client terminal with an initial screen according to the type of the user according to the result of the identification process (S601) (S602).

When the client terminal that has been in the predetermined standby state (S603NO) until the initial screen is received (S603YES), the client terminal performs a process of displaying the initial screen (S604).

After that, a process of setting an analysis target is performed using the client terminal (S606). The analysis target is wide-ranging, for example, the store, period, product, product category, etc. to be analyzed. At this time, the analysis target includes not only the analysis of past data but also the future sales forecast based on predetermined conditions. When the analysis target is finally determined, the client terminal performs a process of transmitting an analysis request (S608).

When the information processing apparatus 11 has been in a predetermined standby state (S610NO) until the request is received (S610YES), the information processing apparatus 11 uses the information reading unit 162 to collect the related data required for analysis in the data warehouse 12. The process of reading from is performed (S611). At this time, information such as weather information may be acquired at the same time from the data providing server 4.

After reading the related data, the analysis process is performed according to the content set by the analysis target setting process (S606) (S613). For example, processing such as adding the sales amount for each product category to be analyzed is performed. If the analysis target is a future sales forecast or the like, the inference processing unit 164 reads out various trained models stored in the trained model storage unit 14 and performs inference processing. Specific analysis examples will be described later (see FIGS. 7 and 8).

After the analysis process, a process of generating a display screen in which the information obtained by the analysis process is appropriately arranged and providing the generated display screen is performed (S615). When the client terminal that has been in the predetermined standby state (S617NO) until the display screen is received (S617YES), the client terminal provides the analysis result by displaying the display screen (S608).

FIG. 7 is a display example (No. 1) of a screen diagram showing the analysis result. As is clear from the figure, a data set selection area 504 for selecting a data set and a logout display area 505 for logging out are arranged at the uppermost stage of the screen diagram. By selecting the data set selection area 504, the names of the candidate retail stores are displayed in a pull-down manner, and it is possible to determine which store's purchase information is to be analyzed. You can also log out by selecting the logout display area.

A switching area to be displayed is displayed in the upper left part of the screen diagram, and a "list" display area 501, a "purchase summary" display area 502, and a "purchase segment" display area 503 are arranged in order from the left. .. When the "list" display area 501 is selected, the analysis target information is displayed in a list. In the same screen diagram, this "list" is displayed. When the "purchase summary" display area 502 is selected, the purchase information is analyzed and the main points are displayed. When the "purchase segment" display area 503 is selected, purchase information for each of various segments such as customers is displayed.

A filter setting area is displayed immediately below the switching area to be displayed, and a filtering execution selection area 507, a period setting area 508, and a store area setting area 509 are arranged in order from the left. For example, by setting the aggregation period in the period setting area 508, setting the store area to "Kanto", and finally selecting the filtering execution selection area 507, the products sold in the Kanto area within the set period will be described later. Can be set to selectively display in the tablespace of.

A table area for displaying filtered purchase information is arranged directly under the filter setting area. In the table area, a category display column 511, a sales information display column 512, a sales share information display column 513, a gross profit information display column 514, and a gross profit share information display column 516 are arranged in order from the left. In the example of the figure, each information is displayed together with the year-on-year change.

Further, in the example of the figure, information such as sales is displayed based on the large category, which is the largest category among the large, medium, and small categories. However, by moving the pointer 518 and arranging it on each item so that it is near the center of the table, the change candidate category display 519 can be displayed near the pointer 518, and the same display can be actually selected. You can change the category with.

FIG. 8 is a display example (No. 2) of a screen diagram showing the analysis result. In the same figure as in FIG. 7, a filter setting area is displayed at the top, and a filtering execution selection area 601, a period setting area 602, and a store area setting area 603 are arranged in order from the left.

Immediately below the filter setting area, a hierarchical display unit 605 that decomposes the sales results into elements and arranges each element hierarchically is arranged. Specifically, the number of purchases and the unit price of customers are displayed at the bottom of the sales record, and the number of customers visiting the store and the purchase rate are displayed at the bottom of the number of purchases. In addition, the purchase price and the purchase frequency per purchase are displayed at the bottom of the customer unit price, and the number of purchase points and the average product price per purchase are displayed at the bottom of the purchase price. In addition, the actual results are displayed together with the year-on-year change and the year-on-year difference, respectively.

With such a configuration, the sales performance can be quantitatively analyzed for each element, and the comparison with the previous year is displayed for each element. Therefore, for example, which element causes the sales to fluctuate. It is possible to quickly analyze factors such as.

Further, a brand information display unit 606 is further arranged below the hierarchical display unit 605. The table of the brand information display unit 606 includes a brand name display column 608, a sales information display column 609, a purchase rate information display column 610, and a customer unit price display column 611 in this order from the left. In each column, the actual results for this year, year-on-year changes, and year-on-year differences are displayed.

With such a configuration, purchasing information can be analyzed for each brand.

According to the above configuration, by setting the analysis target, the corresponding purchase information can be obtained quantitatively and visually, so that the purchase information can be analyzed accurately.

In the present embodiment, the product information can be analyzed without limitation from any client terminal, but the present invention is not limited to such a configuration. Therefore, for example, in the case of access from the client terminal 8 for a manufacturer, the range of products to be analyzed may be limited to the product of the manufacturer or its category.

(Advertising setting mode processing)
Subsequently, the details of the advertisement setting mode processing (S7) will be described with reference to FIGS. 9 to 20.

FIG. 9 is a detailed flowchart of the advertisement setting mode processing in the information processing apparatus 11. As is clear from the figure, when the process starts, the information processing apparatus 11 performs a process of identifying whether the user is a user as a retail store or a user as a manufacturer (S71). The example in the figure shows the case where the user is a manufacturer. After that, the information processing apparatus 11 performs a process of providing a mode selection screen according to the type of the user to the client terminal according to the result of the identification process (S71) (S72).

After that, when the information processing apparatus 11 which has been in the standby state (S73) until the mode selection signal is received from the client terminal (S73YES), the information processing apparatus 11 starts three modes according to the mode selection signal. I do. Specifically, a process of starting any one of the advertisement information setting process (S76), the delivery request confirmation process (S78), and the report confirmation process (S79) is performed.

In the advertisement information setting process (S76), the user can generate a distribution request by setting the advertisement information to be distributed. Further, by the distribution request confirmation process (S78), it is possible to confirm whether or not the distribution request generated by the advertisement information setting process is approved by the user as the corresponding retail store. Further, it is possible to confirm the report showing the effect of the advertisement delivered by the report confirmation process (S79).

In addition, in the example of the figure, since the example when the user is a manufacturer is shown, three processes are described, but when the user is a user as a retail store, a delivery request is made. Instead of the status confirmation process, the delivery request approval process can be selected.

FIG. 10 is a functional block diagram of the information processing server system 1 that performs the advertisement information setting process. As is clear from the figure, the information processing device 11 is a communication unit 175 that exchanges information with and from an external device including a client terminal, and a data warehouse in response to a request obtained via the communication unit 175. An advertisement information setting processing unit 172 that sets advertisement information to 12 and a distribution processing unit 173 that generates distribution information based on the set advertisement information and performs distribution processing are connected to each other.

Further, the advertisement information setting processing unit 172 is further connected to a distribution list generation unit 171 that generates a distribution list based on a predetermined trained model read from the trained model storage unit 14.

FIG. 11 is a detailed flowchart of the advertisement information setting process (S76). The flowchart on the left side of the figure shows the operation of the client terminal, and the flowchart on the right side of the figure shows the operation of the information processing apparatus 11.

As is clear from the figure, when the process starts, the information processing apparatus 11 performs a process of identifying whether the user is a user as a retail store or a user as a manufacturer (S761). After that, a process of providing an initial screen according to the identification result to the client terminal is performed (S762). When the client terminal in the predetermined standby state (S763NO) receives the initial screen (S763YES), the client terminal performs a process of displaying the initial screen on the client terminal (S765). After that, the advertisement information setting process is performed between the client terminal and the information processing device 11 (S766).

FIG. 12 is an example of a screen view displayed on the client terminal during the setting process of the advertisement information. At the top of the figure, "STEP1 campaign creation", "STEP2 distribution estimate creation" and "STEP3 confirmation / application" are displayed in order from the left, and in the same screen diagram, the screen corresponding to the campaign creation in step 1 is displayed. Has been done.

In the same screen diagram, a target setting area 701, a campaign information setting area 702, a distribution target attribute setting area 703, a coupon information setting area 704, a distribution creative setting area 705, and a screen transition decision button 706 are arranged in order from the top. ing.

In the target setting area 701, target candidates for advertisements such as "expansion of non-purchasers", "follow-up", and "prevention of withdrawal" are arranged in order from the left. It has been selected. This area is an area for selecting and setting the target of advertisement distribution or campaign, and as will be described later, for example, by selecting "Expand non-purchasers", customers who have not yet purchased a predetermined product. By selecting "Follow-up", you can distribute advertisements that appeal to customers, and by selecting "Prevention of withdrawal", you can distribute advertisements that encourage purchasers to make the next purchase. You can set up ad serving to prevent certain brand buyers from purchasing other brands.

The campaign information setting area 702 further includes a campaign name input area 7021 for inputting a campaign name, a target period input area 7022 for setting a campaign period, and a JAN (Japanese Artist Number Number) for specifying a campaign target product in order from the top. ) A JAN code input area 7023 for inputting a code and a budget input area 7024 for inputting a campaign budget are provided.

In the distribution target attribute setting area 703, a gender setting area 7028 for setting the gender of the distribution target and an age setting area 7029 for setting the age of the target are arranged from above. For example, in the example of the figure, a man in his twenties is set as a distribution target.

The coupon information setting area 704 is configured so that it is possible to input the type of coupon, which is either a point grant or a price discount, and the quantity thereof. For example, in the example of the figure, "discount" is selected as the coupon type, and the quantity is set to 10%.

In the distribution creative setting area 705, from the top, a title input area 7051 for inputting the title of the distribution advertisement, a specific information input area 7052 for inputting a sentence for explaining privilege information such as a coupon, and distribution. An image setting unit 7053 for setting an image included in the advertisement is arranged. In the image setting unit 7053, the distribution image can be set by uploading the image file.

By inputting or setting the above items and selecting the screen transition determination button 706, the advertisement information setting process (S766) is completed.

Returning to FIG. 11, when the advertisement information setting process is completed, the delivery estimation request is transmitted from the client terminal to the information processing apparatus 11 (S767). When the information processing apparatus 11 has been in the standby state (S768NO) until the delivery quotation request is received (S768YES), the information processing apparatus 11 performs a process of generating a distribution list (S770).

In the distribution list generation process (S770), the distribution list generation unit 171 adds a member to the distribution list based on each item set by the advertisement information setting process. For example, in the present embodiment in which the goal is to increase the number of non-purchasers, a process is performed in which a member who has not yet purchased a product corresponding to the input JAN code is specified and the member is added to the distribution list. ..

Further, the distribution list generation unit 171 reads the trained model from the trained model storage unit 14. At this time, the learned model is a model in which the relationship between the content set by the advertisement information setting process and the member having a high advertising effect at that time is learned in advance. The distribution list generation unit 171 inputs each item set by the advertisement information setting process into the trained model, outputs a member inferred to have a high advertising effect, and adds the member to the distribution list.

According to such a configuration, since the delivery destination is set according to the advertising target, it is possible to selectively deliver the advertisement to the customer having a high advertising effect.

Further, according to such a configuration, it is possible to deliver to a delivery destination inferred to have a high advertising effect based on the machine learning technique, so that the advertising effect can be enhanced.

When the distribution list generation process (S770) is completed, the distribution content setting process is performed (S771). More specifically, a delivery scenario including a delivery means and a delivery time is set according to the goal. Since the goal in this embodiment is to increase the number of non-purchasers, as a distribution scenario, a push notification of the campaign start date and a coupon distribution, and a process of setting a push notification again after a predetermined day has passed after the opening process in the application program are performed. ..

After that, a process of generating and providing a display screen to the client terminal is performed based on the items set by the advertisement information setting process, the distribution list, and the distribution scenario (S773).

When the client terminal that has been in the standby state (S774NO) until the display screen is received receives the display screen (S774YES), the client terminal performs the display processing of the distribution estimation screen (S775).

FIG. 13 is a display example of the delivery estimation screen. As is clear from the figure, in the same screen diagram, "STEP2 distribution estimate creation" is in the active state at the top, and in order from the top, the distribution scenario display area 707, the distribution content display area 709, and all page display. A button 710 and a delivery application button 711 are arranged.

The distribution scenario display area 707 includes a distribution campaign name, a distribution purpose, a target product, a target period, a target user, and a distribution timing generated based on the setting contents in the advertisement information setting process. The target user is the number of distribution target persons specified in the distribution list. Further, in the example of the figure, the delivery timing is the campaign start date and the predetermined number of days after the opening process in the application program.

The distribution content display area 709 is an area for confirming the content displayed on the terminal of the member on which the advertisement is distributed. In the same area, the title, privilege information, image content, campaign period, number of deliveries, and delivery target attributes generated based on the setting contents in the advertisement information setting process are displayed. In addition, various contents are displayed according to the screen area of the image of the smartphone to simulate the actual display mode.

Returning to FIG. 11, when the distribution button 711 is selected on the distribution estimation screen, the client terminal performs a process of transmitting a determination signal to the information processing device 11 (S777).

When the information processing apparatus 11 that has been in the standby state (S779NO) until the decision signal is received receives the decision signal (S779YES), the information processing apparatus 11 processes the application for the distribution request to the user as the corresponding retail store (S780). .. After that, the process ends.

In this embodiment, the goal is to increase the number of non-purchasers, and the target person is a member who has never purchased the specified JAN code product, and as a distribution scenario, push notification of the campaign start date and coupon distribution. , And, although it is a push notification again after a predetermined day has passed after opening in the application program, the present invention is not limited to such a configuration and can be modified in various ways.

For example, if the purpose of distribution is follow-up, a member with a history of purchasing the specified JAN code product up to that point is used, and as a distribution scenario, push notification and coupon distribution are performed after a predetermined time has passed since the previous purchase. Push notifications may be sent within a predetermined time from the estimated visit date. Alternatively, if the purpose of distribution is to prevent withdrawal, push notification and coupon distribution may be performed after a predetermined time has elapsed from the last visit date.

FIG. 14 is a detailed flowchart of the delivery request approval process performed by the user as a retail store. The flowchart on the left side of the figure shows the operation of the client terminal, and the flowchart on the right side of the figure shows the operation of the information processing apparatus 11.

As is clear from the figure, when the process starts, the information processing apparatus 11 performs a process of reading the delivery request generated by the advertisement information setting process (S76) (S801). After that, a process of providing the initial screen including the distribution request list to the client terminal of the retail store user is performed (S802).

When the client terminal in the predetermined reception standby state (S803NO) receives the initial screen information (S803YES), the client terminal performs a process of displaying the delivery request on the client terminal (S804), and is in the standby state again (S806NO).

After that, when the person in charge of the retail store detects the approval of one of the distribution requests (S807), a process of transmitting the information regarding the approved distribution request to the information processing apparatus 11 is performed (S807).

When the information processing apparatus 11 in the predetermined standby state (S808NO) receives the approved distribution request (S808YES), the information processing apparatus 11 performs a process of registering the approved distribution request in the data warehouse 12 (S810). In addition, a signal confirming that the distribution registration has been completed is transmitted to the client terminal (S811).

When the client terminal that has been in the standby state (S812NO) until the completion confirmation signal is received (S812YES), the client terminal performs a process of displaying that the process is completed and ends.

With such a configuration, the retail store can approve the advertisement information set by the manufacturer terminal, so that the content of the advertisement information from the manufacturer is examined and the advertisement information considered to be more useful for the retail store is selected. Can be provided. Also, better advertising information can be approved when there are multiple requests.

FIG. 15 is a detailed flowchart of the distribution process performed by the information processing apparatus 11. When the process starts, the information processing apparatus 11 performs a process of reading the registered delivery request (S850). After that, based on the distribution scenario associated with the registered distribution request, a determination process of whether or not the distribution condition is satisfied is performed (S851). The delivery condition is, for example, a registered delivery date and time. If the information processing device 11 does not satisfy the distribution condition (S851NO), the information processing device 11 is in a standby state until the distribution condition is satisfied.

On the other hand, when the distribution condition is satisfied (S851YES), a process of push distribution to the member's terminal based on the distribution list is performed (S852). As a result, the advertising information will be displayed on each member's terminal.

After that, a process for determining whether or not there are other distribution conditions is performed, and if there are other distribution conditions (S854YES), a series of processes (S851 to S854) are performed again. Specifically, for example, it is a condition that the distribution is performed again after a predetermined number of days have passed since the opening.

On the other hand, when all the distribution processes are completed and there are no other distribution conditions (S854), the process of turning on the distribution completion flag is performed for the distribution request, and a series of processes are performed again (S850 to S856).

FIG. 16 is a flowchart showing a report generation process confirmed by the report confirmation process (S79).

As is clear from the figure, when the process starts, the information processing apparatus 11 detects whether or not there is a distribution request from the data warehouse 12 for which the distribution completion flag is turned on (S880). If there is no delivery request for which the delivery completion flag is turned on (S880NO), the standby state is set.

On the other hand, when there is a delivery request for which the delivery completion flag is turned on (S880YES), the process of reading the delivery request is performed (S881). After that, a process for specifying the target period is performed from the read delivery request (S883).

After specifying the target period, the information processing apparatus 11 reads out the purchase information of the target store of the target period from the data warehouse 12 and performs quantitative analysis processing. The content of the analysis may be determined according to the advertising target. For example, if the goal is to increase the number of non-purchasers, the analysis process is performed on the purchase status of the non-purchasers.

When the analysis process is completed, a process of generating a report based on the analysis result and storing it in the data warehouse 12 is performed (S887). When the generation and storage of this report is completed, a series of processes are performed again (S880 to S887). This report can be confirmed by the report confirmation process (S79).

FIG. 17 is an example of a screen diagram (No. 1) included in the report. In the example in the figure, the goal of advertising is to acquire new customers. At this time, in the main point display area 801 at the upper left of the screen, the main points of the analysis result corresponding to the goal of acquiring new customers are simply displayed. In the example of the figure, it is displayed that "Product A accounted for the majority of new inflow sources for brands, of which 127 people, or 84% of the 152 people acquired through coupon distribution, were new customers." There is.

Further, directly below the point display area 801, a related information display area 802 that quantitatively displays related information supporting the contents of the point display area 801 is arranged. In the example of the figure, in the left half of the related information display area 802, the ratio of the number of acquired new customers is displayed by a bar graph divided into new categories and new brands. From the figure, it can be visually and quantitatively grasped that 127 people, which is 84% of the 152 people acquired by coupon distribution, were new customers. On the other hand, in the right half, the inflow source information of brand new customers is also displayed by a bar graph for each product. From this figure, it can be visually and quantitatively understood that product A accounted for the majority of new inflow sources for brands.

FIG. 18 is an example of a screen diagram (No. 2) included in the report. In the example in the figure, the goal of advertising is follow-up. In the main point display area 805 at the upper left of the screen, the main points of the analysis result regarding the latest purchase date are simply displayed. In the example of the figure, "Of the members who distributed the coupon, 90% or more of the members who actually used it were members who had purchased in the past month. From this, they purchased most recently. It can be said that it is effective to deliver coupons to customers. "

Further, directly below the point display area 805, a related information display area 806 that quantitatively displays related information supporting the contents of the point display area 805 is arranged. In the example of the figure, the related information display area 806 is divided into a coupon-using application member (upper row) and a coupon-non-using application member (lower row), and the ratio of the latest purchase date is shown. From the figure, it can be visually and quantitatively understood that 90% or more of the members who actually used the coupons who distributed the coupon were members who had purchased in the past month.

FIG. 19 is an example of a screen diagram (No. 3) included in the report. In the main point display area 808 at the upper left of the screen, the main points of the analysis result regarding the monthly customer unit price are simply displayed. In the example of the figure, "The monthly customer unit price of customers who purchased product A using coupons increased to +1,081 yen from the previous month due to the improvement of purchasing frequency, which contributed to the net increase in sales of pharmacy A." Is displayed.

Further, directly below the point display area 808, a related information display area 800 that quantitatively displays related information supporting the contents of the point display area 808 is arranged. In the example of the figure, in the left half of the related information display area 806, "coupon users among product A purchasing customers", "coupon non-users among product A purchasing customers", and "all other members". A bar graph comparing the basket size in January 2020 and the basket size in February 2020 is displayed. From this figure, it can be visually and quantitatively understood that the monthly customer unit price of the customer who purchased the product A using the coupon increased to +1,081 yen from the previous month. On the other hand, in the right half, the actual monthly customer unit price, purchase frequency, and receipt unit price are displayed together with the month-on-month change and the difference, respectively. From this figure, it can be visually and quantitatively understood that the increase in monthly customer unit price is due to the increase in purchasing frequency.

FIG. 20 is an example of a screen diagram (No. 4) included in the report. In the main point display area 815 at the lower right of the screen, the main points of the analysis result regarding the application (application software) are simply displayed. In the example of the figure, it is displayed that "Miscellaneous goods, especially baby products, are expensive, but the frequency of visits to the store is high and the overall purchase rate is high, so the average customer price is high in all cases." ..

Immediately above the point display area 815, a related information display area 816 for quantitatively displaying related information supporting the contents of the point display area 815 is arranged. In the example of the figure, sales in the health area, cosmetics area, BT (beauty toiletry) area, miscellaneous goods area, and food area are divided into app members and non-app members, and the corresponding non-app members of the app members. The ratio to the members is displayed. From this figure, it can be visually and quantitatively understood that the sales of miscellaneous goods of the application members are high and the overall purchase rate is high.

Further, on the left side of the main point display area 815, a related information display area 817 that quantitatively displays related information supporting the contents of the main point display area 815 by a radar chart is arranged. In the example of the figure, the average customer unit price of the app member and the average customer unit price of the non-app member in each item of health, cosmetics, BT, miscellaneous goods, and food are displayed. From this figure, it can be visually and quantitatively understood that the customer unit price is high in all product categories, and in particular, the customer unit price is high in miscellaneous goods.

According to the above configuration, since the information corresponding to the advertisement effect is presented quantitatively and visually after the advertisement is delivered, the user of the client terminal can objectively and easily grasp the advertisement effect. In addition, since the advertising measures can be evaluated, the advertising measures can be gradually improved.

In particular, since the main point display area and the area for displaying the quantitative information supporting the main point display area are displayed on the screen, the advertising effect can be quickly and easily grasped.

Further, according to the above configuration, for the retail store, it is possible to improve the advertisement distribution performed by itself or to perform the effective advertisement distribution set by the manufacturer, so that it is possible to improve the sales in the store. .. In addition, for the manufacturer, it is possible to deliver the advertisement directly from the manufacturer to the advertising medium related to the customer of the retail store while confirming the advertising effect based on the purchase information of the retail store, so while conducting a quantitative analysis. It can improve the sales of own products and brand awareness.

(2. Modification example)
The above configuration can be variously modified and implemented.

In the above-described embodiment, the process (S76) for setting the advertisement information in detail each time has been described, but the present invention is not limited to such a configuration. Therefore, for example, the past advertising effect obtained as a result of setting the advertising information may be accumulated and analyzed, and the conditions and the distribution contents for increasing the advertising effect may be automatically set or recommended.

FIG. 21 is a flowchart relating to the advertising effect analysis process according to this modification. This advertising effect analysis process is executed in the information processing apparatus 11. As is clear from the figure, when the process starts, the information processing apparatus 11 performs a process of searching for a delivery request in which the delivery completion flag is on, that is, the delivery has been completed (S890).

As a result of this search process, if there is no delivery request for which the delivery completion flag is on (S891NO), the search process (S890) is performed again. On the other hand, when there is a delivery request in which the delivery completion flag is turned on (S891YES), the process of reading the information related to the delivery delivery request is performed (S892).

After that, the information processing apparatus 11 performs a process of specifying the target period set for the read delivery request (S894). For example, information such as "January 1, 2020 to January 31, 2020".

After the specific processing, the purchase information corresponding to the target period is read out, and the advertising effectiveness index is calculated based on the purchase information in the period. The advertising effectiveness index is calculated according to the target in this embodiment. For example, if the target is "expansion of non-purchasers", it is the new customer rate among the customers who purchased the target product in the target period. Further, for example, if the target is "follow-up", it is the percentage of customers who have repurchased the target product during the target period.

After calculating the advertising effectiveness index, the advertisement distribution result data including the advertising effectiveness index is stored (S897), and a series of processes are repeated again (S890 to S897).

FIG. 22 is an example of stored advertisement distribution result data. In the example of the figure, items such as "advertising ID", "goal", "JAN code", "budget", "target", "period", "delivery scenario", "coupon" are shown. The corresponding "effect index" is also shown. The "target" item has "gender" and "age" as sub-items, and the "delivery scenario" item has "delivery timing", "text", and "image" as sub-items.

For example, when the "advertising ID" is 1, the number of unpurchased users is increased as the "target", ABC is used as the "JAN code", 100,000,000 yen is used as the "budget", and the male (M) is used as the "target". ), 20-29 years old, January 1, 2020-January 31, 2020 as "period", 3 days after opening as "delivery scenario", sentence pattern 1, image A, 10% discount as "coupon" As a result of setting it as advertising information, it is remembered that a new rate of 84% increase was obtained as an effect index.

Subsequently, an example of using the advertisement distribution result data obtained by such an advertisement effect analysis process in the advertisement information setting process (S766) will be described.

FIG. 23 is an operation example of the information processing apparatus 11 in the advertisement information setting process (S766). At the start of the modification, the initial screen shown in FIG. 24 is displayed on the client terminal (S765).

FIG. 24 is an example of a screen diagram displayed on the client terminal during the advertisement information setting process, that is, a display example of the advertisement information setting screen according to the modified example. In the same figure, as in FIG. 12, "STEP1 campaign creation", "STEP2 distribution estimate creation" and "STEP3 confirmation / application" are displayed in order from the left at the top, and in the same screen diagram, step 1 is displayed. The screen corresponding to the campaign creation is displayed.

In the screen diagram, a target setting area 821, a product setting area 822, a budget setting area 823, and a screen transition determination button 825 are arranged in order from the top.

Similar to FIG. 12, advertising target candidates such as "expansion of non-purchasers", "follow-up", and "prevention of withdrawal" are arranged in the target setting area 821 in order from the left. Is selected to expand non-purchasers. This area is an area for selecting and setting the target of advertisement distribution or campaign, and as will be described later, for example, by selecting "Expand non-purchasers", customers who have not yet purchased a predetermined product. By selecting "Follow-up", you can distribute advertisements that appeal to customers, and by selecting "Prevention of withdrawal", you can distribute advertisements that encourage purchasers to make the next purchase. You can set up ad serving to prevent certain brand buyers from purchasing other brands.

The product setting area 822 is configured so that a JAN code, which is an identifier corresponding to the product, can be input. It is also possible to specify the product group from the JAN code group by selecting the item "Provided from group" in the margin. In the present embodiment, the product is set by the JAN code, but it may be set by another method, for example, it may be specified by the product name or the like.

The budget setting area 823 is configured to be able to set a budget amount that can be used for an advertisement or a campaign.

The screen transition determination button 825 can send a delivery quotation request by selection.

Returning to FIG. 23, when the advertisement information setting process (S766) is started, the information processing apparatus 11 performs a process of accepting the information input in the client terminal (S901). Specifically, when the information processing apparatus in the reception standby state (S901NO) receives the input information from the client terminal (S901YES), the information processing apparatus performs the input detection process (S902). This detection process detects whether the input information is target, product information, or budget information.

After that, it is determined whether or not all of the predetermined items, the target, the product information, or the budget information in this modification has been input (S904). If the input of some items is still limited, the input acceptance process is performed again (S901). On the other hand, when it is determined that the input to all the items is completed (S904YES), the process of specifying the advertisement ID having the maximum effect index corresponding to the target is performed in the predetermined product / budget (S904YES). S905). After that, the process ends.

When the transmission process of the delivery estimation request is performed after the advertisement information setting process for specifying the advertisement ID having the maximum advertisement effect index is performed (S767 to S768), the information processing device 11 is specified. The distribution list generation process (S770) corresponding to the advertisement ID and the distribution content setting process (S771) are performed. That is, as a result, each condition when the advertising effectiveness index is maximized, that is, the age / gender of the target, the delivery period, the delivery scenario, the coupon information, and the like are set in the client terminal (S773 to S775).

With such a configuration, the conditions or delivery contents that maximize the advertising effectiveness index are automatically set by simply inputting some items such as goals, so that effective advertisements can be easily delivered. be able to.

In the present modification, the configuration is such that the setting conditions or the distribution information are automatically set, but the present invention is not limited to such a configuration. Therefore, for example, a proposal for setting conditions and a proposal for distribution contents may be appropriately presented and recommended. Further, the advertisement ID is not limited to the one that maximizes the advertisement effect index, and may present a plurality of setting condition proposals or distribution proposals that have an advertisement effect of a certain level or more.

Further, in the present modification, the configuration is such that the advertising ID that maximizes the advertising index is simply specified, but the present invention is not limited to such a configuration. Therefore, for example, using machine learning technology, predetermined setting conditions and distribution plans may be set by inference based on the input items.

In the above-described embodiment, the target of advertisement distribution is a member who has downloaded the application software, but the present invention is not limited to such a configuration. Therefore, for example, the advertisement content may be displayed on the advertisement display 36 of the store system 3 in cooperation with the CRM (Customer Relationship Management) tool of the information processing apparatus 11. Further, the advertisement information may be provided to the web advertisement server 6 that distributes the web advertisement and distributed via the web advertisement server 6. At this time, the range of the web advertisement may be limited to a terminal within a predetermined range from the store position.

In the above-described embodiment, the advertisement information setting process (S766) can be variously modified. For example, when inputting campaign information, input items for specifying whether or not the campaign is for the planning shelf (or end shelf), which planning shelf (shelf ID) in the retail store the campaign is related to, and the like. It is also possible to provide it. The planning shelf is a product display shelf in which products and the like are arranged in a conspicuous position, which is particularly advantageous for improving brand awareness.

As a result, the person in charge of the manufacturer or the like can propose a campaign on the planning shelf to the retail store, and the advertisement result can be directly obtained visually and quantitatively. As a result, it is possible to objectively grasp the advertising effect, gradually improve the advertising measures, and improve the brand awareness of the company's products. In addition, retail stores can expect an increase in sales based on proposals from manufacturers.

Although the embodiments of the present invention have been described above, the above embodiments are only a part of the application examples of the present invention, and the technical scope of the present invention is limited to the specific configuration of the above embodiments. do not have. Further, the above embodiments can be appropriately combined as long as there is no contradiction.

The present disclosure can be used at least in an industry that manufactures a server device that collects and stores purchase information of goods in a retail store.

1 Information processing server system 11 Information processing equipment 12 Data warehouse (DWH)
14 Learned model storage unit 161 Communication unit 162 Information reading unit 163 Analysis processing unit 164 Inference processing unit 171 Distribution list generation unit 172 Advertising information setting processing unit 173 Distribution processing unit 175 Communication unit 3 Store system 31 Information processing device 32 Cash register terminal 34 Store database 36 Advertising display 4 Data provision server 5 Application software management server 6 Web advertising server 7 Retail store client terminal 8 Manufacturer client terminal

Claims (22)

A server system that collects and stores purchase information for products in retail stores.
In response to a request from a client terminal, an advertisement information setting unit that sets advertisement information, which is information related to advertisements of products sold at the retail store, and an advertisement information setting unit.
A distribution unit that generates distribution target information based on the set advertisement information and distributes it to an advertisement medium related to the customer of the retail store.
An effect-related information providing unit that generates effect-related information that quantitatively and visually presents information related to the effect of the advertisement based on the purchase information and provides it to the client terminal.
Server system with. The server system according to claim 1, wherein the client terminal includes a client terminal for a retail store and a client terminal for a manufacturer. The request is a request from the client terminal for the manufacturer.
The distribution unit further
Distribution based on the approved advertisement information provided with an approval processing unit that provides the set advertisement information to the retail store client terminal and enables the retail store client terminal to approve the advertisement information. The server system according to claim 2, wherein the target information is delivered to an advertising medium related to the customer of the retail store. The advertising information includes target information of the advertisement.
The distribution unit
It is provided with a selective distribution unit that identifies the advertising medium to be the distribution destination based on the target information and distributes the distribution target information to the advertising medium related to the customer of the retail store according to the distribution destination. The server system according to claims 1 to 3. The server system further
Based on the trained model obtained by machine learning, it is equipped with an inference processing unit that generates a list of advertising media to be delivered from the advertising information.
The server system according to claim 1 to 4, wherein the distribution unit distributes the distribution target information based on the advertisement medium list. The purchase information is stored in association with the customer ID used in the retail store system.
The server system further
The member information acquisition department that acquires the member information of the retail store including the member ID,
The server system according to claim 1 to 5, further comprising an associated processing unit that associates the customer ID with the member ID by collating the purchase information with the member information. The member information includes the location information of the mobile terminal used by the member.
The server system according to claim 6, wherein the related processing unit associates the customer ID with the member ID by collating the purchase information with the location information. The advertising information includes target information of the advertisement.
The server system according to claim 1, wherein the effect-related information includes an analysis result of the purchase information corresponding to the target of the advertisement. The server system according to claim 8, wherein the effect-related information includes main point information of an analysis result corresponding to the target information and quantitative information on which the main point information is based. The server system according to claims 1 to 9, wherein in the advertisement information setting unit, the advertisement information includes information about a planning shelf of the retail store. The server system according to claim 3, wherein the advertising information includes product information to be advertised, a period, and a budget. The server system according to claim 11, wherein the advertising information includes information about a target customer. The server system according to any one of claims 11 or 12, wherein the advertising information includes coupon information about a product sold at the retail store. The server system according to any one of claims 11 to 13, wherein the advertisement information includes text information and image information included in the distribution target information. The server system according to claim 1, further comprising a storage unit that stores and stores the set advertisement information and effect-related information that is information related to the effect of the advertisement corresponding to the advertisement information. The server system according to claim 15, wherein the distribution target information is generated based on the accumulated effect-related information. The server system according to any one of claims 15 or 16, further comprising an effect standard advertisement information setting unit that sets the advertisement information so that the advertisement effect is increased based on the accumulated effect-related information. The advertising information includes target information of the advertisement.
The server system according to any one of claims 15 to 17, wherein the effect-related information is generated according to the target information. The server system according to claim 6, wherein the advertising medium is application software for members of the retail store. The server system according to claim 1, wherein the advertising medium is an advertising display arranged in the retail store. It is a control method of a server system that collects and stores purchase information of products in retail stores.
In response to a request from the client terminal, an advertisement information setting step for setting advertisement information which is information related to an advertisement of a product sold at the retail store, and an advertisement information setting step.
A distribution step that generates distribution target information based on the set advertising information and distributes it to an advertising medium related to the customer of the retail store.
An effect-related information providing step that generates effect-related information that quantitatively and visually presents information related to the effect of the advertisement based on the purchase information and provides it to the client terminal.
A control method that comprises. A server system control program that collects and stores purchase information for products in retail stores.
In response to a request from the client terminal, an advertisement information setting step for setting advertisement information which is information related to an advertisement of a product sold at the retail store, and an advertisement information setting step.
A distribution step that generates distribution target information based on the set advertising information and distributes it to an advertising medium related to the customer of the retail store.
An effect-related information providing step that generates effect-related information that quantitatively and visually presents information related to the effect of the advertisement based on the purchase information and provides it to the client terminal.
Control program with.

Images