JP2021026534A - Sales promotion support device, information processing program and sales promotion support method - Google Patents

Abstract

To support implementation of efficient sales-promotion measures.SOLUTION: A sales promotion support device according to an embodiment comprises measurement means and determination means. The measurement means measures level of effect of sales promotion measures implemented at at least one representative store among a plurality of stores. The determination means determines, for a store different from the representative stores among the plurality of stores, whether to take the sales promotion measures based upon how much the store and representative store correlate to each other and the level of effect measured by the measurement means.SELECTED DRAWING: Figure 5

Description

An embodiment of the present invention relates to a sales promotion support device, an information processing program, and a sales promotion support method.

At retail stores or restaurants, various sales promotion measures such as bargain sales or provision of special menus are implemented.
The effects of sales promotion measures generally differ from store to store depending on various conditions such as location, customer base, and store size. Therefore, when pursuing the effects of sales promotion measures, it is preferable to formulate sales promotion measures for each store.

However, implementing individual sales promotion measures at multiple stores is disadvantageous in terms of cost. Therefore, even if the effect is sufficiently obtained, good cost performance is not always achieved.
In consideration of cost, the same sales promotion measures may be implemented at multiple stores, but at least some stores may not be able to obtain sufficient effects of the sales promotion measures, and good cost performance is also achieved. It is not always done.
Moreover, in any case, the work of formulating a sales promotion measure capable of achieving good cost performance was difficult, such as relying on the rules of thumb of experts.
Under these circumstances, it has been desired to be able to support the implementation of efficient sales promotion measures.

JP-A-2009-169698

An object to be solved by the present invention is to provide a sales promotion support device, an information processing program, and a sales promotion support method that can support the implementation of efficient sales promotion measures.

The sales promotion support device of the embodiment includes measuring means and determining means. The measuring means measures the magnitude of the effect of the sales promotion measures implemented at at least one representative store that is a part of the plurality of stores. For the judgment means, a store different from the representative store among multiple stores, sales promotion measures should be implemented based on the magnitude of the correlation between the store and the representative store and the magnitude of the effect measured by the measuring means. Determine if there is.

A block diagram showing a main circuit configuration of a headquarters server according to an embodiment and a schematic configuration of a sales promotion support system to which the headquarters server is applied. The figure which shows typically the structure of the data record included in the measure database in FIG. The figure which shows typically the structure of the data record included in the history database in FIG. The flowchart of the generation processing by the processor in FIG. The flowchart of the evaluation process by the processor in FIG.

Hereinafter, an example of the embodiment will be described with reference to the drawings. In this embodiment, a headquarters server having a function as a sales promotion support device will be described as an example.
FIG. 1 is a block diagram showing a main circuit configuration of the headquarters server 1 according to the present embodiment and a schematic configuration of a sales promotion support system to which the headquarters server 1 is applied.
This sales promotion support system includes a headquarters server 1, a plurality of store systems 2, and an information terminal 3. The headquarters server 1, the plurality of store systems 2, and the information terminal 3 can communicate with each other via the communication network 4.
In this embodiment, the "store" may be either a real store or a virtual store. Then, the actual store and the virtual store may coexist in the plurality of stores. However, in the following, the case where only the actual store is used will be illustrated.

The headquarters server 1 is provided in the headquarters that centrally manages a plurality of stores. The headquarters server 1 collects and manages data from store systems 2 provided in a plurality of stores to be managed. The headquarters server 1 performs information processing for managing the results of the stores to be managed by aggregating the data collected from the plurality of store systems 2. In addition, the headquarters server 1 executes information processing for sales promotion support, which will be described later. The headquarters server 1 is operated by, for example, a business operator that operates a store to be managed. However, the headquarters server 1 may be operated by another business operator that provides an information providing service to the business operator that operates the store to be managed. The headquarters server 1 may be owned by the business operator, or a rental server may be used. It does not matter whether the sales promotion support provided by the headquarters server 1 is for-profit or non-profit.

The store system 2 is provided for each store that sells products. The store system 2 includes a plurality of POS terminals 21, a store server 22, and an in-store communication network 23. The POS terminal 21 performs information processing related to registration, accounting, settlement, etc. related to product sales. Then, the POS terminal 21 sends the sales data obtained as a result of such information processing to the store server 22. The sales data is data representing the result of sales at the store. The sales data includes, for example, a store code, a transaction date and time, a product list, a payment result, a customer code, and the like, and may be the same data as the same type of data used in the existing POS system. The store code is a predetermined code for identifying the store in which the POS terminal 21 is installed. The transaction date and time is the date and time when the transaction was made. The product list is a list showing the individual sales amount of the SKU (stock keeping unit) code and the product defined to identify the product sold by the corresponding transaction. As the SKU code, a JAN (Japan article number) code may be used, or a code other than the specified code may be used. The SKU represents a group of products in terms of sales management. For example, if a large number of similar products called "mix sandwiches" are sold, these similar products called "mix sandwiches" belong to the same SKU and have the same SKU code. Identified by. The settlement result represents the amount of settlement and the applied settlement method.

The store server 22 collects and manages sales data sent from a plurality of POS terminals 21. The store server 22 collectively sends the collected sales data to the headquarters server 1 at a predetermined timing. The store server 22 may add arbitrary data to the sales data. For example, the POS terminal 21 may not include the store code in the sales data, and the store server 22 may add the store code to the sales data. Each time the store server 22 acquires sales data from the POS terminal 21, the store server 22 may send the sales data to the headquarters server 1.
The plurality of store systems 2 may all belong to the same company, or may belong to any of the plurality of companies. However, in the present embodiment, it is assumed that the plurality of store systems 2 all belong to the same company.

The information terminal 3 is an information processing device used by a person in charge of sales promotion measures to give various instructions and confirm various data. As the information terminal 3, it is assumed that an existing device having a web browsing function such as a personal computer, a tablet terminal, a smartphone, or a wearable terminal is used. A plurality of information terminals 3 may be included in the sales promotion support system, but only one is shown in FIG.

The communication network 4 transmits various data exchanged between the headquarters server 1 and the store system 2 and the information terminal 3. As the communication network 4, the Internet, VPN (virtual private network), LAN (local area network), public communication network, mobile communication network, and the like can be used alone or in combination as appropriate.

The headquarters server 1 includes a processor 11, a main memory 12, an auxiliary storage unit 13, a communication interface 14, and a transmission line 15. As the hardware of the headquarters server 1, for example, a general-purpose computer device for a server can be used.
In the main server 1, a computer that performs information processing for realizing the function as the main server 1 is configured by connecting the processor 11, the main memory 12, and the auxiliary storage unit 13 by a transmission line 15.

The processor 11 corresponds to the central part of the computer. The processor 11 executes the above information processing according to various information processing programs such as an operating system and an application program.

The main memory 12 corresponds to the main memory portion of the computer. The main memory 12 includes a non-volatile memory area and a volatile memory area. The main memory 12 stores the above information processing program in the non-volatile memory area. Further, the main memory 12 may store data necessary for the processor 11 to execute various types of information processing in a non-volatile or volatile memory area. The main memory 12 uses a volatile memory area as a work area in which data is appropriately rewritten by the processor 11.

The auxiliary storage unit 13 corresponds to the auxiliary storage portion of the computer. The auxiliary storage unit 13 is, for example, an EEPROM (electric erasable programmable read-only memory), an HDD (hard disk drive), an SSD (solid state drive), or the like. The auxiliary storage unit 13 stores data used by the processor 11 for performing various types of information processing and data generated by processing by the processor 11. The auxiliary storage unit 13 may store the above information processing program.

One of the information processing programs stored in the auxiliary storage unit 13 is the sales promotion support program P1. The sales promotion support program P1 is an information processing program that describes information processing described later for sales promotion support. A part of the storage area of the auxiliary storage unit 13 is used as an area for storing the collected data D1, the measure database D2, and the history database D3.

A plurality of collected data D1 can be stored in the auxiliary storage unit 13. The collected data D1 is associated with any of the plurality of store systems 2. The collected data D1 is data obtained by accumulating the sales data obtained by the associated store system 2.

The measure database D2 is a database for managing sales promotion measures to be tried. FIG. 2 is a diagram schematically showing the configuration of the data record DR1 included in the measure database D2.
The measure database D2 is a set of a plurality of data records DR1. The data record DR1 is associated with the promotional measures to be tried. Hereinafter, the sales promotion measure associated with the data record DR1 will be referred to as a planned measure. The data record DR1 includes fields F11, F12, F13, F14, F15.

A measure code for distinguishing the planned measure from other sales promotion measures is set in the field F11. In the field F12, start date data representing the scheduled date for starting the scheduled measure is set. End date data representing the scheduled date for ending the scheduled measure is set in the field F13. A store code that identifies the store that tries the planned measure is set in the field F14. Content data representing the content of the planned measure is set in the field F15. The content data may include the name of a promotional measure, such as "○○ Fair". The content data may include, for example, a product to be sold in a sales promotion plan and its selling price. The content data may include, for example, a media code that identifies the media used to disseminate the promotional plan. The content data may include, for example, data representing the content of benefits such as coupons or gifts provided by the sales promotion plan.

The history database D3 is a database for managing tried sales promotion measures. FIG. 3 is a diagram schematically showing the configuration of the data record DR2 included in the history database D3.
The history database D3 is a set of a plurality of data records DR2. The data record DR2 is associated with the attempted promotional measures. Hereinafter, the sales promotion measure associated with the data record DR2 will be referred to as a completed measure. The data record DR2 includes fields F21, F22, F23, F24, F25, F26, F27.

A measure code for distinguishing the completed measure from other sales promotion measures is set in the field F21. In the field F22, start date data representing the date when the completed measure is started is set. End date data representing the date when the completed measure is completed is set in the field F23. A store code that identifies the store that tried the completed measure is set in the field F24. Content data representing the content of the completed measure is set in the field F25. An effect value indicating the magnitude of the effect of the completed measure is set in the field F26. A store code for identifying a store that has implemented the completed measures is set in the field F27.

The communication interface 14 is an interface for data communication via the communication network 4.
The transmission line 15 includes an address bus, a data bus, a control signal line, and the like, and transmits data and control signals transmitted and received between each connected unit.

Next, the operation of the headquarters server 1 configured as described above will be described. The contents of the various processes described below are examples, and it is possible to change the order of some processes, omit some processes, or add another process as appropriate.

Now, at the headquarters server 1, the processor 11 executes the generation process described below based on the sales promotion support program P1 at a predetermined execution timing. For example, when the person in charge of the sales promotion measure tries a new sales promotion measure, he / she accesses the headquarters server 1 using the information terminal 3 and instructs the execution of the generation process. The timing at which the processor 11 receives this instruction is an example of the above-mentioned execution timing. Alternatively, the execution timing may be scheduled, such as midnight on the first day of every month.

FIG. 4 is a flowchart of the generation process by the processor 11.
As ACT1, the processor 11 determines a measure code for distinguishing the generated sales promotion measure from other sales promotion measures.
As ACT2, the processor 11 determines a start date for starting a trial of sales promotion measures. The processor 11 determines, for example, a day on which a predetermined number of days has elapsed from the present as a start date. The above number of days is arbitrary, but it is advisable to set it so that a sufficient preparation period for sales promotion measures can be secured.
As ACT3, the processor 11 determines the end date at which the sales promotion measure ends. For example, the processor 11 determines as the end date the day when a predetermined number of days has elapsed from the start date determined by ACT2. The above number of days is arbitrary. The above number of days may be the same for a plurality of sales promotion measures, or may be different. When the above number of days is different for a plurality of sales promotion measures, for example, the number of days may be randomly determined each time ACT3 is executed.

As ACT4, the processor 11 determines the content of the sales promotion measure. The processor 11 generates, for example, the contents of the sales promotion measure by combining the options of the components of the sales promotion measure determined in advance. An example of a component is a customer who is the target of a sales promotion measure. The component choices are, for example, housewives, singles, adolescents, families, workers, or others. An example of a component is a target product. The component options are, for example, products sold in stores. An example of a component is the type of promotion. The component choices are, for example, leaflets, coupons, discounts, bulk discounts, or the like. An example of a component is a parameter according to the type of sales promotion. Choices for such components are, for example, sale price, quantity, number of eligible customers, or otherwise. The processor 11 randomly selects the options prepared in advance for each component or according to a predetermined rule, and generates the content of the sales promotion measure as a combination thereof. Alternatively, the processor 11 may generate the content of a new sales promotion measure by replacing some of the existing components of the sales promotion measure with another option. In this case, the processor 11 may use, for example, an option applied to the same component of another existing promotional measure as an option for the above replacement. Further, for example, the processor 11 may use a newly selected option randomly or according to a predetermined rule as an option for the above replacement. Alternatively, the processor 11 may generate the content of a new sales promotion measure by replacing some of the existing components of the sales promotion measure with another option in response to an instruction from the person in charge at the information terminal 3. .. Further, the processor 11 may generate a new content of the sales promotion measure in response to an instruction from the person in charge at the information terminal 3 regardless of the existing sales promotion measure.

As the ACT 5, the processor 11 determines a store (hereinafter, referred to as a trial store) to try the sales promotion measure. For example, the processor 11 randomly selects one store or a plurality of stores that are a part of a plurality of stores to be managed, and determines that store as a trial store. The processor 11 may, for example, select one store or a plurality of stores as trial stores from a plurality of stores to be managed in a predetermined order. The smaller the number of trial stores, the larger the number of sales promotion measures that can be tried, but the accuracy of the effect measurement described later decreases. As the number of trial stores increases, the accuracy of effect measurement increases.

As the ACT 6, the processor 11 updates the measure database D2 so as to include the new data record DR1 associated with the sales promotion measure generated as described above. The processor 11 sets the measure code determined in ACT1 in the field F11 of the new data record DR1. The processor 11 sets the start date data representing the start date determined by ACT2 in the field F12 of the new data record DR1. The processor 11 sets the end date data representing the end date determined by the ACT 3 in the field F13 of the new data record DR1. The processor 11 sets the store code of the store determined in ACT 5 in the field F14 of the new data record DR1. The processor 11 sets the content data representing the content of the measure determined in the ACT 4 in the field F15 of the new data record DR1.
Thus, when the processor 11 executes information processing based on the sales promotion support program P1, the computer having the processor 11 as a central part functions as a generation means.

As ACT7, the processor 11 notifies the store server 22 provided in the store determined by ACT5 of the measure code, the start date, the end date, and the measure contents determined by ACT1 to ACT4. For example, the processor 11 sends the measure code, the start date, the end date, and the notification data representing the measure contents determined in ACT1 to ACT4 to the corresponding store server 22 from the communication interface 14 to the communication network 4. Then, the processor 11 ends the generation process.
The processor 11 may repeatedly execute this generation process over a plurality of times.

When the store server 22 receives the notification data, the store server 22 manages the sales promotion measures represented by the notification data as the sales promotion measures scheduled to be implemented. That is, the store server 22 has a function as a management device for managing sales promotion plans. Then, the processor 11 instructs the store server 22 as a management device to manage it as a sales promotion measure to be implemented by the notification in the ACT 7. Therefore, when the processor 11 executes information processing based on the sales promotion support program P1, the computer having the processor 11 as a central part functions as an instruction means. The store server 22 may also manage the sales promotion measures generated for each store.
Then, the store clerk confirms the sales promotion measures managed by the store server 22, and prepares for implementing the sales promotion measures. That is, the clerk takes various necessary measures such as ordering products subject to sales promotion measures, printing leaflets, creating sales floor signs, changing the settings of the POS terminal 21, and arranging personnel. In addition, a part of the measures for preparation for implementing the sales promotion measure may be performed by the store server 22 according to the instruction of the store clerk. A part of the process for preparing for the implementation of the sales promotion measure may be performed by the store server 22 without the intervention of the instruction of the store clerk. Then, at the store, the sales promotion measures are implemented during the period from the start date to the end date of the sales promotion measures.

When a transaction involving the sale of a product is carried out at a store, the POS terminal 21 generates sales data related to the transaction. Then, the sales data generated by each of the plurality of POS terminals 21 included in one store system 2 is collected from the POS terminal 21 to the store server 22 at predetermined timings. It is assumed that the timing of collecting sales data is, for example, every end of a unit period. The unit period may be arbitrarily determined by the creator of the sales promotion support program P1 or the administrator of the headquarters server 1. In this embodiment, the unit period is one day. The unit period is also expected to be one week or one month. The processing in these store systems 2 may be the same as the processing in the existing POS system or the like.

Now, at the headquarters server 1, the processor 11 executes the evaluation process described below based on the sales promotion support program P1 at a predetermined execution timing. For example, the above-mentioned sales data is collected every day, and the timing at which the collection of the sales data is completed is an example of the above-mentioned execution timing. Alternatively, if the sales data is collected between midnight and one hour, for example, at 2:00 am every day, a predetermined timing is set so that the sales data collection is completed. May be the execution timing.

FIG. 5 is a flowchart of the evaluation process by the processor 11.
As the ACT 11, the processor 11 confirms whether or not there is a sales promotion measure (hereinafter referred to as a termination measure) that has been completed among the sales promotion measures scheduled to be tried. The processor 11 confirms, for example, whether or not the measure database D2 includes the data record DR1 associated with the termination measure. The data record DR1 associated with the termination measure is the data record DR1 in which the end date data representing the date before the current date is set in the field F13. Then, the processor 11 determines NO if no corresponding data record DR1 is found, and ends the evaluation process this time as it is. However, if even one of the corresponding data records DR1 is found, the processor 11 determines YES and proceeds to ACT12.

As the ACT 12, the processor 11 selects one termination measure. The processor 11 selects, for example, one of the data records DR1 associated with the termination measure.
As the ACT 13, the processor 11 calculates the effect value for the selected termination measure. The effect value is a numerical value indicating the magnitude of the effect of sales promotion by the termination measure. For example, the processor 11 analyzes the sales data in the store where the termination measure is tried, and calculates the effect value by a predetermined algorithm. The algorithm may be arbitrarily determined by the creator of the sales promotion support program P1 or the administrator of the headquarters server 1. By calculating this effect value, the effect of the sales promotion measures implemented at the trial store as the representative store will be measured. Thus, when the processor 11 executes information processing based on the sales promotion support program P1, the computer having the processor 11 as a central part functions as a measuring means.

As an example, it is assumed that the algorithm is set so that the larger the ratio of the sales amount before the start of the sales amount during the implementation of the termination measure to the sales amount, the larger the effect value is obtained. The sales amount is the sales amount at the trial store. When there are a plurality of trial stores of the selected termination measures, the total amount, average amount, maximum amount, or the like of the sales amount of the plurality of trial stores may be used as the sales amount. The sales amount may be the total amount for one or more days, the average value, the maximum value, or the like. Further, the sales amount may be the total amount at the trial store, or may be the sales amount related to a predetermined product related to the target product of the termination measure. For example, when the target product of the termination measure is a beverage, the effect value may be changed based on the ratio of the sales amount of another product such as a lunch box that is expected to be purchased together with the target product. As an example, it is assumed that the algorithm is set so that the larger the ratio of the number of visitors to the number of visitors before the start of the termination measure for the target customer at the trial store, the larger the effect value is obtained. As an example, it is assumed that the algorithm is set so that the larger the ratio of the number of units sold before the start of the number of units sold during the implementation of the termination measure for the target product at the trial store, the greater the effect value.

As the ACT 14, the processor 11 confirms whether or not the selected termination measure is an effective sales promotion measure based on the effect value calculated by the ACT 13. For example, the processor 11 confirms whether or not the effect value calculated by the ACT 13 is equal to or greater than a predetermined threshold value. The threshold value may be arbitrarily set by the creator of the sales promotion support program P1 or the administrator of the headquarters server 1. Then, if the effect value is equal to or higher than a predetermined threshold value, the processor 11 determines that the selected termination measure is an effective sales promotion measure and determines YES, and proceeds to ACT15.

As the ACT 15, the processor 11 determines one or a plurality of stores to be deployed regarding the selected termination measure. The expansion destination store is a store that is targeted for developing the selected termination measure as a sales promotion measure that should be implemented in the future. For example, the processor 11 sets another store similar to the store that tried the termination measure being selected as the development destination store. The processor 11 is, for example, a store in which the effects of the sales promotion measures are similar to each other. As an example, the processor 11 extracts the effects of a plurality of sales promotion measures implemented at both stores in the past with respect to a store different from the trial store of the termination measure being selected, and calculates the correlation coefficient thereof. Then, when the calculated correlation coefficient is equal to or greater than the threshold value, the processor 11 determines the other store as a similar store.

It is also possible to obtain the correlation between a plurality of stores in advance and determine similar stores in consideration of the correlation. First, the same sales promotion measures are executed multiple times at all stores, and the correlation coefficient is calculated for the combination of all two stores. The store and the correlation coefficient can be regarded as a graph structure of a fully connected store consisting of a node and an edge whose correlation coefficient is a weight, and the correlation coefficient can be regarded by a method such as Graph-Cut or Spectrum Clustering. It can be divided into multiple clusters where only stores with high prices are gathered. If the store in the cluster is determined as a trial store in ACT5 in FIG. 4, another store in the same cluster can be determined as a store similar to the trial store.

Based on the above, the processor 11 determines that the sales promotion measure for which the selected termination measure is highly effective should be implemented for the stores that are similar to the store that tried the termination measure among a plurality of stores, and for the stores that are not similar. Do not judge that it should be carried out. Thus, when the processor 11 executes information processing based on the sales promotion support program P1, the computer having the processor 11 as a central portion functions as a determination means.

As the ACT 16, the processor 11 notifies the store server 22 provided in the deployment destination store of the content of the selected termination measure. For example, the processor 11 sends notification data including the content data set in the field F15 of the data record DR1 associated with the selected termination measure to the corresponding store server 22 from the communication interface 14 to the communication network 4 To send to.

When the store server 22 receives the above notification data, the store server 22 manages the content data contained therein as candidate data for the content of the sales promotion measure to be implemented in the future, separately from the data of the sales promotion measure decided to be implemented. .. The person in charge of the store where the store server 22 is provided can decide a new sales promotion measure to be implemented in the future based on the candidate data managed by the store server 22. Based on the candidate data managed by the store server 22, a new sales promotion measure to be implemented in the future may be decided under the instruction of the above-mentioned person in charge or without the instruction of the above-mentioned person in charge.

When the processor 11 finishes the ACT 16, the processor 11 proceeds to the ACT 17. If the effect value calculated by ACT 13 is less than the threshold value, the processor 11 determines NO as the selected termination measure is not an effective sales promotion measure, passes ACT 15 and ACT 16, and proceeds to ACT 17.
As the ACT 17, the processor 11 updates the history database D3 to include a new data record DR2 associated with the selected termination measure. The processor 11 sets the fields F21 to F25 of the new data record DR2 with each data set in the fields F11 to F15 of the data record DR1 associated with the selected termination measure. The processor 11 sets the effect value calculated by ACT 13 in the field F26 of the new data record DR2. The processor 11 sets a store code that identifies the expansion destination store determined by ACT 15 in the field F27 of the new data record DR2. When the processor 11 passes the ACT 15 and the ACT 16, the field F27 of the new data record DR2 is left blank, or a predetermined invalid value is set.

As the ACT 18, the processor 11 updates the measure database D2 so as to delete the data record DR1 associated with the selected termination measure.
As the ACT 19, the processor 11 confirms whether or not all of the termination measures have been selected in the ACT 12. Then, the processor 11 determines NO if there is an termination measure that has not yet been selected, and repeats the processing after ACT12. However, at this time, the processor 11 selects the termination measure that has not been selected so far in the ACT 12. Thus, the processor 11 repeatedly executes ACT 13 to ACT 18 with each of the termination measures being sequentially processed. Then, when the processor 11 finishes executing ACT13 to ACT18 for all the termination measures, it determines YES in ACT19 and ends the current evaluation process.

By the way, when a viewer such as a person in charge of the headquarters wants to confirm what kind of sales promotion measure is tried and what kind of sales promotion measure is judged to be implemented in which store, the web of the information terminal 3 The headquarters server 1 is accessed via the communication network 4 by using the browsing function. Then, the viewer performs an operation for requesting data display on the information terminal 3. In response to this, the information terminal 3 transmits request data for requesting the start of display to the headquarters server 1 via the communication network 4.

When this request data is transmitted to the headquarters server 1 via the communication network 4, the communication interface 14 receives the request data in the headquarters server 1. When the request data is received in this way, the processor 11 executes information processing for displaying the data based on the sales promotion support program P1. Then, the processor 11 generates page data representing the browsing page for the viewer to browse the data recorded in the history database D3 by this information processing. Then, the processor 11 sends the generated page data to the requesting information terminal 3 from the communication interface 14 to the communication network 4. When the information terminal 3 receives the page data, the information terminal 3 displays the browsing page represented by the page data. By browsing this browsing page, the viewer can confirm what kind of sales promotion measure is tried and what kind of sales promotion measure is determined to be implemented in which store.

As described above, the headquarters server 1 determines that the sales promotion measures for which a large effect was obtained when the trials were performed at some trial stores should be implemented at other stores having a large correlation with the trial stores. Thus, if sales promotion measures are implemented according to this judgment, there is a high possibility that a great effect can be obtained. That is, according to the headquarters server 1, it is possible to support the implementation of efficient sales promotion measures.

In addition, the headquarters server 1 automatically generates a sales promotion measure to be tried by a trial store. Therefore, it is not necessary for the person in charge of the headquarters server 1 to plan the sales promotion measure, and the trouble can be saved.

In addition, the headquarters server 1 notifies the store server 22 of the store where the sales promotion measure should be implemented of the content of the sales promotion measure to be implemented. In this way, it is possible to manage the sales promotion measures to be implemented for each store.

In addition, the headquarters server 1 records in the history database D3 at which store it is determined that the trial sales promotion measure should be implemented. Therefore, according to the headquarters server 1, it is possible to have the person in charge of the headquarters confirm what kind of sales promotion measure is tried and what kind of sales promotion measure should be implemented at which store as described above. it can.

This embodiment can be modified in various ways as follows.
It can also be realized as a dedicated sales promotion support device that performs the evaluation process shown in FIG. 5, the generation process shown in FIG. 4, the evaluation process shown in FIG. 5, and the information processing associated therewith. Alternatively, a function as a sales promotion support device may be added to a device other than the headquarters server 1 such as a web server for providing various information providing services to the store.

ACT2 in FIG. 4 may be performed after ACT4. The number of days from the execution date to the start date of the generation process shown in FIG. 4 may be changed according to the content of the sales promotion measure.

ACT3 in FIG. 4 may be performed after ACT4. The number of days from the start date to the end date may be changed according to the content of the sales promotion measure.

ACT2 in FIG. 4 may be performed after ACT5. The start date may be set in consideration of the schedule of the trial store and the like.

ACT3 in FIG. 4 may be performed after ACT5. The end date may be set in consideration of the schedule of the trial store and the like.

In the ACT 12 in FIG. 5, the processor 11 may select, for example, a sales promotion measure planned and implemented by a person in charge of the headquarters or a store, in place of or in addition to the trial sales promotion measure.

The processor 11 may determine similar stores based on the similarity of the attributes of the stores themselves. That is, the processor 11 may be, for example, similar stores in stores having similar locations and customer bases.

The processor 11 may determine similar stores based on the similarity of sales performance. That is, the processor 11 may be, for example, similar stores among stores having similar sales tendencies of the target products. Alternatively, the processor 11 may be, for example, similar stores among stores having similar sales ratio trends in a plurality of product categories.

The processor 11 may determine similar stores based on a database showing the relationship between each store and similar stores determined by the creator of the sales promotion support program P1 or the administrator of the headquarters server 1.

The processor 11 may notify the person in charge of the content of the sales promotion measure by sending an e-mail to a notification destination of the person in charge predetermined for each store.

The processor 11 does not have to perform the ACT 16 in FIG. The sales promotion content may be notified to each store by a person in charge at the headquarters.

The information processing executed by the processor 11 may be distributed processed by a plurality of processors provided in the headquarters server 1 or a plurality of processors provided in each of the plurality of information processing devices. For example, when there are a plurality of trial stores, the effect value in each of the plurality of trial stores may be calculated by different processors. Then, in ACT5 in FIG. 5, the effect value obtained by combining the plurality of effect values individually calculated as described above may be calculated.

Information processing for communication with the headquarters server 1 and display of the browsing screen on the information terminal 3 may be executed according to a dedicated application program.

Each function realized by the processor 11 by information processing can also be realized by hardware that executes information processing that is not based on a program such as a logic circuit or the like. Further, each of the above-mentioned functions can be realized by combining software control with the above-mentioned hardware such as a logic circuit.

Although some embodiments of the present invention have been described, these embodiments are presented as examples and are not intended to limit the scope of the invention. These novel embodiments can be implemented in various other embodiments, and various omissions, replacements, and changes can be made without departing from the gist of the invention. These embodiments and modifications thereof are included in the scope and gist of the invention, and are also included in the scope of the invention described in the claims and the equivalent scope thereof.

1 ... Headquarters server, 2 ... Store system, 3 ... Information terminal, 4 ... Communication network, 11 ... Processor, 12 ... Main memory, 13 ... Auxiliary storage unit, 14 ... Communication interface, 15 ... Transmission line, 21 ... POS terminal, 22 ... Store server, 23 ... In-store communication network.

Claims (5)

A measuring means for measuring the magnitude of the effect of sales promotion measures implemented at at least one representative store that is a part of a plurality of stores.
For a store different from the representative store among the plurality of stores, the sales promotion measure is implemented based on the magnitude of the correlation between the store and the representative store and the magnitude of the effect measured by the measuring means. Judgment means to determine whether it should be
Sales promotion support device equipped with. A generation means for generating the sales promotion measure to be implemented at the representative store,
The sales promotion support device according to claim 1, further comprising. A management device that manages sales promotion measures to be implemented in a store different from the representative store among the plurality of stores is managed as a sales promotion measure to be implemented by the determination means. Instructional means to instruct to do,
The sales promotion support device according to claim 1 or 2, further comprising. Computer,
A measuring means for measuring the magnitude of the effect of sales promotion measures implemented at at least one representative store that is a part of a plurality of stores.
For a store different from the representative store among the plurality of stores, the sales promotion measure is implemented based on the magnitude of the correlation between the store and the representative store and the magnitude of the effect measured by the measuring means. Judgment means to determine whether it should be
An information processing program to make it work. Measure the magnitude of the effect of sales promotion measures implemented at at least one representative store that is a part of multiple stores,
The sales promotion measures should be implemented for a store different from the representative store among the plurality of stores, based on the magnitude of the correlation between the store and the representative store and the magnitude of the measured effect. Determine if there is,
Sales promotion support method.