Store performance management device, store performance management method, and store performance management program

Abstract

The objective is to provide a store performance management device, a store performance management method, and a store performance management program that can automatically adjust store status on a monthly basis, taking into account changes in store conditions during the period, and provide data in a monthly trend format to achieve a clear overview. [Solution] Based on the store master and the monthly period master, store status work is obtained, which sets the store status for each store in each month of the target period. Based on the performance data and the store status work, monthly performance data is obtained, which sets the performance amount for each store for each month and store status in the target period.

Description

Technical Field

[0001] The present invention relates to a store performance management device, a store performance management method, and a store performance management program.

Background Art

[0002] Patent Document 1 discloses a configuration in which new stores, existing stores, renovated stores, and store closures are grouped according to the number of months elapsed from the opening date, renovation date, and closure date of each store to a reference date, and management accounting data is created using the accounting data of each grouped store during the target period.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] However, in the invention described in Patent Document 1, since stores are classified according to the number of months elapsed until a specific reference date, changes in the store situation during the target period to be analyzed are not taken into account. When a target period spanning multiple months is specified, there is a problem that numerical increases and decreases due to changes in the store situation cannot be accurately analyzed.

[0005] In view of the above problems, the present invention is made to take into account changes in the store situation during the period, determine and automatically change the store situation monthly, and provide data in a monthly transition format in order to achieve listability. An object is to provide a store performance management device, a store performance management method, and a store performance management program.

Means for Solving the Problems

[0006] To solve the above-mentioned problems and achieve the objective, the store performance management device according to the present invention is a store performance management device comprising a storage unit and a control unit, wherein the storage unit comprises a store master set by linking a store, an opening date and an existing store date on which the store becomes an existing store, a monthly period master set by linking a fiscal year and a month within that fiscal year, and store performance data set by linking the fiscal year, the store, the month and the actual amount, and the control unit comprises a work acquisition means for acquiring store status work that sets the store status for each store in each month of the target period based on the store master and the monthly period master, and a monthly trend acquisition means for acquiring actual monthly data that sets the actual amount for each store in each month of the target period and for each store status based on the actual data and the store status work.

[0007] Furthermore, in the store performance management device according to the present invention, the work acquisition means is characterized in that, based on the store master and the monthly period master, if the end date of the month set in the monthly period master is before the existing store date set in the store master, the store status is set to new store, and if the end date of the month set in the monthly period master is after the existing store date set in the store master, the store status is set to existing store, and the work acquisition means acquires the store status work which sets the store status for each store in each month of the target period.

[0008] Furthermore, in the store performance management device according to the present invention, the store master is further set with a closing date associated with it, and the work acquisition means sets the store status as a new store if the end date of the month set in the monthly period master is before the existing store date set in the store master, sets the store status as a closed store if the closing date set in the store master is on or before the end date of the month set in the monthly period master, and sets the store status as an existing store if the end date of the month set in the monthly period master is after the existing store date set in the store master and before the closing date set in the store master, and acquires the store status work which sets the store status for each store in each month of the target period.

[0009] Furthermore, in the store performance management device according to the present invention, the existing store date is characterized in that, if there is no user specification and the opening date is the first day of the month, it is the first day of the same month of the following year following the opening date; if there is no user specification and the opening date is not the first day of the month, it is the first day of the month of the month following the following year following the opening date; and if there is a user specification, it is the specified date.

[0010] Furthermore, in the store performance management device according to the present invention, the work acquisition means acquires the store status work, which sets the store status for each store in each month of the target period and the previous period store status for each store in each month of the previous period of the target period, based on the store master and the monthly period master; and the monthly trend acquisition means acquires the actual amount for each store in each month of the target period and for each store status, based on the actual data and the store status work, and further sets the actual amount for each store in each month of the target period and the previous period of the same month, based on the actual monthly data.

[0011] Furthermore, in the store performance management device according to the present invention, the target period is characterized by being the target fiscal year.

[0012] Furthermore, in the store performance management device according to the present invention, the work acquisition means further displays a target period specification screen on which the target period can be set, and when a specified year is set on the target period specification screen, it sets the specified year as the target year.

[0013] Furthermore, in the store performance management device according to the present invention, the store performance management storage means further stores budget data set by linking the year, the store, the month, and the budget amount, and the monthly trend acquisition means further acquires monthly budget data set for each month and each store condition of the target period, based on the budget data and the store status work, wherein the budget amount for each store is set.

[0014] Furthermore, in the store performance management device according to the present invention, the monthly trend acquisition means is further characterized in that, based on the actual monthly data, it displays monthly trend table data that is set to output so that the actual amount for each store for each month of the target period can be compared with the actual amount for each store in the previous month of the same month in the target period.

[0015] Furthermore, in the store performance management device according to the present invention, the store master is set up by linking the store code, opening date, and existing store date of the store, the monthly period master is set up by linking the year and the month number indicating the month within that year, and the work acquisition means acquires the store status work, which is set up by linking the month number of the target year, the store code, and the store status based on the store master and the monthly period master.

[0016] Furthermore, the store performance management method according to the present invention is a store performance management method to be executed by a store performance management device comprising a storage unit and a control unit, wherein the storage unit comprises a store master set by linking a store, an opening date and an existing store date on which the store becomes an existing store, a monthly period master set by linking a fiscal year and a month within that fiscal year, and a store performance management storage means that stores performance data set by linking the fiscal year, the store, the month and the actual amount, and is characterized in that it includes a work acquisition step executed by the control unit to acquire store status work that sets the store status for each store in each month of the target period based on the store master and the monthly period master, and a monthly trend acquisition step to acquire actual monthly data that sets the actual amount for each store in each month and for each store status of the target period based on the performance data and the store status work.

[0017] Furthermore, the store performance management program according to the present invention is a store performance management program to be executed by a store performance management device comprising a storage unit and a control unit, wherein the storage unit comprises a store master set by linking a store, an opening date and an existing store date on which the store becomes an existing store, a monthly period master set by linking a fiscal year and a month within that fiscal year, and a store performance management storage means that stores performance data set by linking the fiscal year, the store, the month and the actual amount, and the control unit is characterized in that it is made to execute a work acquisition step of acquiring store status work that sets the store status for each store in each month of the target period based on the store master and the monthly period master, and a monthly trend acquisition step of acquiring actual monthly data that sets the actual amount for each store in each month of the target period and for each store status based on the performance data and the store status work. [Effects of the Invention]

[0018] According to the present invention, there is an effect that accurate increase / decrease analysis can be performed using a monthly transition form and the changes in performance can be precisely grasped. Further, according to the present invention, there is an effect that all the figures counted as existing stores in a specified period can be totaled and the original performance comparison of the enterprise can be performed. Further, according to the present invention, there is an effect that the analysis of the sales decline after the opening of a new store progresses and the cause can be accurately specified. Further, according to the present invention, in industries that repeatedly attempt business expansion by opening new stores and closing stores, and industries that regularly open stores, it can be used for the analysis and evaluation of each new store and existing store after the store opening. Further, according to the present invention, it is possible to determine whether the store is a new store or an existing store from the store master on a monthly basis for the period specified by the monthly transition, aggregate transaction data based on the determined store status, and output the aggregation result by store status.

Brief Description of the Drawings

[0019] [Figure 1] FIG. 1 is a diagram showing an example of store sales data in the present embodiment. [Figure 2] FIG. 2 is a diagram showing an example of the aggregation result in the prior art and the aggregation result in the present embodiment. [Figure 3] FIG. 3 is a diagram showing an example of the aggregation result in the prior art and the aggregation result in the present embodiment. [Figure 4] FIG. 4 is a block diagram showing an example of the configuration of a store performance management device in the present embodiment. [Figure 5] FIG. 5 is a flowchart showing an example of the processing of a store performance management device in the present embodiment. [Figure 6] FIG. 6 is a diagram showing an example of store performance management processing in the present embodiment. [Figure 7] FIG. 7 is a diagram showing an example of store performance management processing in the present embodiment. [Figure 8] FIG. 8 is a diagram showing an example of store performance management processing in the present embodiment. [Figure 9] FIG. 9 is a diagram showing an example of store performance management processing in the present embodiment. [Figure 10] Figure 10 is a diagram showing an example of store performance management processing in the present embodiment. [Figure 11] Figure 11 is a diagram showing an example of store performance management processing in the present embodiment. [Figure 12] Figure 12 is a diagram showing an example of store performance management processing in the present embodiment.

Embodiments for Carrying Out the Invention

[0020] Embodiments of the present invention will be described in detail based on the drawings. Note that the present invention is not limited by these embodiments.

[0021] [1. Overview] First, referring to FIGS. 1 to 3, the overview of the present invention will be described. FIG. 1 is a diagram showing an example of store sales data in the present embodiment. FIGS. 2 and 3 are diagrams showing examples of aggregation results in the prior art and in the present embodiment.

[0022] Conventionally, among the perspectives for capturing monthly and annual profits and losses, aggregation was performed separately for new stores and existing stores. However, since the change from new stores to existing stores (13-month rule) was done manually visually, aggregation errors were likely to occur, and there was a problem that the management layer could not accurately grasp at a glance the changes in performance throughout the year (lack of comprehensibility).

[0023] Here, as shown in FIG. 1, when there is sales data for each store from 2023 to 2024, in the prior art described in Patent Document 1, an attempt is made to group new stores and existing stores in store-by-store revenue and expenditure management. However, as shown in FIG. 2, when aggregating the performance throughout the year to analyze the performance trends of existing stores, stores that were changed from new stores to existing stores during the period are excluded. As shown in FIG. 3, when comparing on a monthly basis, when looking at the month in which a store migrated from a new store to an existing store, a year-on-year comparison could not be confirmed.

[0024] Consequently, with conventional technology, when analyzing the cause of a decline in sales after the opening of a new store, it was impossible to conduct a proper cause analysis if sales recorded after the store had become an existing store were recorded as new store sales. Furthermore, while conventional technology could output equivalent data by specifying a single month and outputting 12 months' worth of data, it could not output the 12-month transition at once, failing to resolve the issue that management could not accurately grasp the changes in performance throughout the year at a glance.

[0025] Therefore, this embodiment provides a mechanism for comparing processing results involving rework and actual costs incurred with standard manufacturing processes and standard costs.

[0026] For example, as shown in Figure 2, in this embodiment, standard work performance in the manufacturing process and work time for each item in the manufacturing process are set, standard costs incurred as direct expenses are maintained by cost item, work time for each item in the manufacturing process is set, work classification, work time, and equipment operating time for the work that occurred are maintained on a per-manufactured item basis as work performance in the manufacturing process, and the cost amount incurred as direct expenses is maintained by cost item, thereby listing the items that deviate from the acceptable range (exceeding the upper limit) for reprocessing performance.

[0027] [2. Structure] An example of the configuration of the store performance management device 100 according to this embodiment will be described with reference to Figure 4. Figure 4 is a block diagram showing an example of the configuration of the store performance management device 100 in this embodiment.

[0028] As shown in Figure 4, the store performance management device 100 is a commercially available desktop personal computer. However, the store performance management device 100 is not limited to stationary information processing devices such as desktop personal computers, but may also be portable information processing devices such as commercially available notebook personal computers, PDAs (Personal Digital Assistants), smartphones, or tablet personal computers.

[0029] The store performance management device 100 comprises a control unit 102, a communication interface unit 104, a storage unit 106, and an input / output interface unit 108. Each part of the store performance management device 100 is connected to communicate via any communication path.

[0030] The communication interface unit 104 connects the store performance management device 100 to the network 300 via communication devices such as routers and wired or wireless communication lines such as dedicated lines. The communication interface unit 104 has the function of communicating data with other devices via communication lines. Here, the network 300 has the function of connecting the store performance management device 100 and the server 200 so that they can communicate with each other, and is, for example, the internet or a LAN (Local Area Network).

[0031] The input / output interface unit 108 is connected to an input device 112 and an output device 114. The output device 114 can be a monitor (including a touch panel), a speaker, or a printer. The input device 112 can be a keyboard, a mouse, a microphone, or a monitor that works in conjunction with a mouse to provide pointing device functionality. In the following, the output device 114 may be referred to as the monitor 114 or printer 114, and the input device 112 may be referred to as the keyboard 112 or mouse 112.

[0032] The storage unit 106 stores various databases, tables, and files. The storage unit 106 also stores computer programs that work in cooperation with the OS (Operating System) to give instructions to the CPU (Central Processing Unit) to perform various processes. As the storage unit 106, for example, memory devices such as RAM (Random Access Memory) and ROM (Read Only Memory), fixed disk devices such as hard disks, flexible disks, and optical disks can be used. The storage unit 106 includes a store performance management database 106a.

[0033] The store performance management database 106a stores store performance management data. Here, the store performance management database 106a may store a store master set by linking the store, opening date, and existing store date (when the store becomes an existing store). The store performance management database 106a may also store a monthly period master set by linking the fiscal year and the month within that fiscal year. The store performance management database 106a may also store performance data set by linking the fiscal year, store, month, and actual amount. The store master may also be set by linking the closing date. The existing store date is the first day of the same month of the following year if the opening date is the first day of the month, if the user does not specify and the opening date is not the first day of the month, if the user does not specify and the opening date is not the first day of the month, and may be a specified date if the user specifies. The store performance management database 106a may also store budget data set by linking the fiscal year, store, month, and budget amount. Furthermore, the store master may be configured with the store code, opening date, and existing store date linked to each store. Similarly, the monthly period master may be configured with the fiscal year and the month number indicating the month within that fiscal year linked to each other. Additionally, the store performance management database 106a may store store status data, actual monthly data, budget monthly data, and / or monthly trend table data.

[0034] The control unit 102 is a CPU or the like that comprehensively controls the store performance management device 100. The control unit 102 has internal memory for storing control programs such as the OS, programs that define various processing procedures, and required data, and executes various information processing based on these stored programs. Functionally, the control unit 102 comprises a work acquisition unit 102a and a monthly trend acquisition unit 102b.

[0035] The work acquisition unit 102a acquires store status work that sets the store status. Here, the work acquisition unit 102a may acquire store status work that sets the store status for each store in each month of the target period based on the store master and the monthly period master. Alternatively, the work acquisition unit 102a may set the store status to "new store" if the end date of the month set in the monthly period master is before the existing store date set in the store master, and set the store status to "existing store" if the end date of the month set in the monthly period master is after the existing store date set in the store master, and acquire store status work that sets the store status for each store in each month of the target period. Furthermore, the work acquisition unit 102a may acquire store status work that sets the store status for each store in each month of the target period, based on the store master and the monthly period master. This includes setting the store status as a new store if the end date of the month set in the monthly period master is before the existing store date set in the store master, setting the store status as a closed store if the closing date set in the store master is on or before the end date of the month set in the monthly period master, and setting the store status as an existing store if the end date of the month set in the monthly period master is after the existing store date set in the store master and before the closing date set in the store master. The work acquisition unit 102a may also acquire store status work that sets the store status for each store in each month of the target period, as well as the previous period store status for each store in each month of the previous period, based on the store master and the monthly period master. The target period may also be the target fiscal year. Furthermore, the work acquisition unit 102a may display a target period specification screen in which the target period can be set, and if a specified year is set on the target period specification screen, the specified year may be set as the target year. In addition, the work acquisition unit 102a may acquire store status work that is set by associating the month number of the target year, the store code, and the store status based on the store master and the monthly period master.

[0036] The monthly trend acquisition unit 102b acquires monthly performance data with the actual sales amount of each store set. Here, the monthly trend acquisition unit 102b may acquire monthly performance data with the actual sales amount of each store set for each month and store condition of the target period, based on the performance data and store condition work. Alternatively, the monthly trend acquisition unit 102b may acquire monthly performance data with the actual sales amount of each store set for each month and store condition of the target period, based on the performance data and store condition work, and further set the actual sales amount of each store for each month of the target period and the previous month of the same month. Alternatively, the monthly trend acquisition unit 102b may acquire monthly budget data with the budget amount of each store set for each month and store condition of the target period, based on the budget data and store condition work. Furthermore, the monthly trend acquisition unit 102b may display or print monthly trend table data that has been set to output so that, based on the actual monthly data, it is possible to compare the actual amount for each store for each month of the target period with the actual amount for each store in the previous month of the same period.

[0037] [3. Specific Examples] A specific example of this embodiment will be described with reference to Figures 5 to 12.

[0038] [Store Performance Management Processing] Now, with reference to Figure 5, an example of the store performance management process in this embodiment will be described. Figure 5 is a flowchart showing an example of the processing of the store performance management device 100 in this embodiment.

[0039] As shown in Figure 5, the work acquisition unit 102a displays a target period specification screen on the output device 114, which allows the user to set the target period. When a specified year is set on the target period specification screen via the input device 112, the unit sets that specified year as the target year (step SA-1).

[0040] Then, the work acquisition unit 102a acquires the store status work (step SA-2) which sets the store status for each store in each month of the target year, based on the store master and the monthly period master. If the end date of the month set in the monthly period master is before the existing store date set in the store master, the store status is set to new store; if the closing date set in the store master is on or before the end date of the month set in the monthly period master, the store status is set to closed store; and if the end date of the month set in the monthly period master is after the existing store date set in the store master but before the closing date set in the store master.

[0041] Then, the monthly trend acquisition unit 102b sets the actual amount for each store for each month and each store condition in the target year based on the actual data and store condition work, and acquires actual monthly data which includes the actual amount for each store for each month in the target year and for the previous month of the same month (step SA-3).

[0042] Then, the monthly trend acquisition unit 102b displays monthly trend table data on the output device 114 (step SA-4) which is set to allow comparison between the actual monthly amount for each store in the target year for each month of the target year and the actual monthly amount for each store in the previous month of the same year, based on the actual monthly data, and then terminates the process.

[0043] Here, an example of the store performance management process in this embodiment will be described with reference to Figures 6 to 12. Figures 6 to 12 are diagrams showing an example of the store performance management process in this embodiment.

[0044] In this embodiment, as shown in Figure 6, when the user specifies the fiscal year for which the monthly trend table will be output (Fiscal Year 2023: 2023 / 4 / 1~2024 / 3 / 31) on the target period specification screen, as shown in Figure 6-7, data for determining new stores, existing stores, and closed stores is obtained from the store master according to the flow. As shown in Figures 6 and 8-10, since the status of new and existing stores changes during the target period, a store status worksheet is automatically created on a monthly basis each time data is output, so that new and existing stores can be managed on a monthly basis.

[0045] In this embodiment, as shown in Figures 6 and 11, the aggregation of new and existing stores is performed according to the set values ​​of the store status work, and a monthly trend table data report is output as shown in Figures 6 and 12.

[0046] [4. Contribution to the United Nations-led Sustainable Development Goals (SDGs)] This embodiment can contribute to improving operational efficiency and promoting appropriate management decisions within companies, thereby enabling contributions to SDGs Goals 8 and 9.

[0047] Furthermore, this embodiment can contribute to reducing waste and promoting paperless and digital processes, thereby contributing to SDGs Goals 12, 13, and 15.

[0048] Furthermore, this embodiment can contribute to strengthening control and governance, thereby enabling contributions to SDG Goal 16.

[0049] [5. Other Embodiments] In addition to the embodiments described above, the present invention may be implemented in various different embodiments within the scope of the technical idea described in the claims.

[0050] For example, among the processes described in the embodiments, all or part of the processes described as being performed automatically can be performed manually, or all or part of the processes described as being performed manually can be performed automatically by known methods.

[0051] Furthermore, the processing procedures, control procedures, specific names, information including parameters such as registration data and search conditions for each process, screen examples, and database configuration shown in this specification and in the drawings may be changed at will unless otherwise specified.

[0052] Furthermore, with respect to the store performance management device 100, each component shown in the diagram is a functional concept and does not necessarily need to be physically configured as shown.

[0053] For example, the processing functions of the store performance management device 100, particularly those performed by the control unit 102, may be implemented in whole or in part by a CPU and a program interpreted and executed by the CPU, or they may be implemented as wired logic hardware. The program is recorded on a non-temporary computer-readable recording medium containing programmed instructions for causing the information processing device to execute the processing described in this embodiment, and is mechanically read by the store performance management device 100 as needed. That is, a storage unit such as ROM or HDD (Hard Disk Drive) records a computer program that works in cooperation with the OS to give instructions to the CPU and perform various processing tasks. This computer program is executed by being loaded into RAM and works in cooperation with the CPU to constitute the control unit.

[0054] Furthermore, this computer program may be stored on an application program server connected to the store performance management device 100 via any network, and it is possible to download all or part of it as needed.

[0055] Furthermore, the program for executing the processing described in this embodiment may be stored on a non-temporary computer-readable recording medium, or it may be configured as a program product. Here, "recording medium" includes any "portable physical medium" such as memory cards, USB (Universal Serial Bus) memory, SD (Secure Digital) cards, flexible disks, magneto-optical disks, ROMs, EPROMs (Erasable Programmable Read Only Memory), EEPROMs (Registered Trademark) (Electrically Erasable and Programmable Read Only Memory), CD-ROMs (Compact Disk Read Only Memory), MOs (Magneto-Optical disks), DVDs (Digital Versatile Disks), and Blu-ray (Registered Trademark) Discs.

[0056] Furthermore, "program" refers to a data processing method described in any language or writing method, regardless of its format, such as source code or binary code. Note that "program" is not necessarily limited to a single, monolithic structure; it also includes distributed structures consisting of multiple modules or libraries, and those that work in cooperation with other programs, such as an operating system, to achieve their functions. Regarding the specific configuration and reading procedures for reading the recording medium in each device shown in this embodiment, as well as the installation procedures after reading, well-known configurations and procedures can be used.

[0057] The various databases stored in the memory unit 106 include memory devices such as RAM and ROM, fixed disk devices such as hard disks, flexible disks, and optical disks, and store various programs, tables, databases, and web page files used for various processes and website provision.

[0058] Furthermore, the store performance management device 100 may be configured as an information processing device such as a known personal computer or workstation, or as an information processing device to which any peripheral devices are connected. Alternatively, the store performance management device 100 may be implemented by installing software (including programs or data, etc.) that realizes the processing described in this embodiment on the device.

[0059] Furthermore, the specific forms of distribution and integration of the devices are not limited to those shown in the figures, and all or part of them can be configured by functionally or physically distributing and integrating them in any unit according to various additions or functional loads. In other words, the embodiments described above may be implemented in any combination, or the embodiments may be implemented selectively. [Industrial applicability]

[0060] This invention is useful in industries such as the distribution and retail industry. [Explanation of Symbols]

[0061] 100 Store Performance Management System 102 Control Unit 102a Work Acquisition Section 102b Monthly trend acquisition section 104 Communication Interface Section 106 Storage section 106a Store Performance Management Database 108 Input / Output Interface Section 112 Input device 114 Output device 200 servers 300 Networks

Claims

1. A store performance management device comprising a memory unit and a control unit, The aforementioned storage unit is A store master set by linking the store, opening date, and existing store date (when the store becomes an existing store), a monthly period master set by linking the fiscal year and the month within that fiscal year, and a store performance management storage means that stores performance data set by linking the fiscal year, the store, the month, and the actual amount. Equipped with, The control unit, A work acquisition means for acquiring store status work that sets the store status for each store in each month of the target period based on the store master and the monthly period master, A monthly trend acquisition means that acquires monthly performance data for each store, based on the aforementioned performance data and the aforementioned store status work, for each month of the aforementioned target period and for each of the aforementioned store statuses, A store performance management device characterized by having the following features.

2. The aforementioned workpiece acquisition means is The store performance management device according to claim 1, characterized in that, based on the store master and the monthly period master, if the end date of the month set in the monthly period master is before the existing store date set in the store master, the store status is set to new store; if the end date of the month set in the monthly period master is after the existing store date set in the store master, the store status is set to existing store; and the store status work is obtained which sets the store status for each store in each month of the target period.

3. The aforementioned store master is Furthermore, the closing date is linked and set accordingly. The aforementioned workpiece acquisition means is The store performance management device according to claim 1, characterized in that, based on the store master and the monthly period master, if the end date of the month set in the monthly period master is before the existing store date set in the store master, the store status is set to new store; if the closing date set in the store master is on or before the end date of the month set in the monthly period master, the store status is set to closed store; if the end date of the month set in the monthly period master is after the existing store date set in the store master and before the closing date set in the store master, the store status is set to existing store, and the store status work is obtained which sets the store status for each store in each month of the target period.

4. The aforementioned existing store date is The store performance management device according to claim 1, characterized in that if there is no user specification and the opening date is the first day of the month, it is the first day of the same month of the following year following the opening date; if there is no user specification and the opening date is not the first day of the month, it is the first day of the month of the month following the following year following the opening date; and if there is a user specification, it is the specified date.

5. The aforementioned workpiece acquisition means is Based on the aforementioned store master and the aforementioned monthly period master, the store status work is obtained which sets the store status for each store in each of the aforementioned months of the target period, and the previous period store status for each store in each of the aforementioned months of the previous period of the target period. The aforementioned means for obtaining monthly trends is: The store performance management device according to claim 1, characterized in that, based on the performance data and the store status work, the performance amount for each store is set for each month and each store status within the target period, and the performance amount for each store in the previous month of the same month within the target period is further set and the monthly performance data is acquired.

6. The aforementioned period is, A store performance management device according to any one of items 1 to 5, characterized in that it is for the target year.

7. The aforementioned workpiece acquisition means is Furthermore, the store performance management device according to claim 6 is characterized in that it displays a target period specification screen on which the target period can be set, and when a specified year is set on the target period specification screen, it sets the specified year as the target year.

8. The aforementioned store performance management storage means is Furthermore, it stores budget data set by linking the aforementioned year, store, month, and budget amount. The aforementioned means for obtaining monthly trends is: Furthermore, the store performance management device according to any one of 1 to 5 is characterized in that, based on the budget data and the store status work, it acquires monthly budget data for each month of the target period and for each store status, wherein the budget amount for each store is set.

9. The aforementioned means for obtaining monthly trends is: Furthermore, the store performance management device according to claim 5 is characterized in that, based on the monthly performance data, it displays monthly trend table data that is set to output so that the actual amount for each store for each month of the target period can be compared with the actual amount for each store in the previous month of the same month of the target period.

10. The aforementioned store master is The store code, opening date, and existing store date of the aforementioned store are linked and set accordingly. The aforementioned monthly period master is: The month number indicating the aforementioned fiscal year and the aforementioned month within that fiscal year is associated and set accordingly. The aforementioned workpiece acquisition means is The store performance management device according to claim 6, characterized in that it acquires the store status work, which is set by linking the month number of the target year, the store code, and the store status, based on the store master and the monthly period master.

11. A store performance management method to be executed by a store performance management device comprising a memory unit and a control unit, The aforementioned storage unit is A store master set by linking the store, opening date, and existing store date (when the store becomes an existing store), a monthly period master set by linking the fiscal year and the month within that fiscal year, and a store performance management storage means that stores performance data set by linking the fiscal year, the store, the month, and the actual amount. Equipped with, The control unit is executed as follows: A work acquisition step to acquire store status work that sets the store status for each store in each month of the target period based on the store master and the monthly period master, A monthly trend acquisition step to acquire monthly performance data for each store, based on the aforementioned performance data and store status work, for each month of the target period and for each store status, wherein the aforementioned performance amount for each store is set. A store performance management method characterized by including the following.

12. A store performance management program to be executed by a store performance management device comprising a memory unit and a control unit, The aforementioned storage unit is A store master set by linking the store, opening date, and existing store date (when the store becomes an existing store), a monthly period master set by linking the fiscal year and the month within that fiscal year, and a store performance management storage means that stores performance data set by linking the fiscal year, the store, the month, and the actual amount. Equipped with, In the control unit, A work acquisition step to acquire store status work that sets the store status for each store in each month of the target period based on the store master and the monthly period master, A monthly trend acquisition step to acquire monthly performance data for each store, based on the aforementioned performance data and store status work, for each month of the target period and for each store status, wherein the aforementioned performance amount for each store is set. A store performance management program designed to implement this functionality.

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