JP2021108081A - Shop assisting method, program and shop assisting system - Google Patents

Abstract

To provide a shop assisting method, a program and a shop assisting system which do not likely to cause fails in operating a shop due to the lack of necessary resource required for operating the shop.SOLUTION: A shop managing method includes a request obtaining process, and an accommodation process. The request obtaining process is to obtain request information D2 relating to the lacking resource at an accommodation destination A11 from the accommodation destination A11 that is a shop A1 operated using the resource. The accommodation process is to generate accommodation information D9 for accommodating the resource from an accommodation originator A12 to the accommodation destination A11 in accordance with the request information D2. The accommodation information D9 is based on at least demand predicting information D1 on the demand prediction at the accommodation destination A11.SELECTED DRAWING: Figure 2

Description

The disclosure generally relates to store support methods, programs and store support systems, and more specifically to store support methods, programs and store support systems that support store sales.

Patent Document 1 describes a store system including a store information management device and a plurality of store business terminals.

In this store system, the work start time, work end time, and transmission time to each terminal are registered in advance in the store information management device as work instruction information for each store business terminal. The store information management device performs a match determination process between the time held by the timer device and the transmission time to each store business terminal, extracts work instruction information from the matched work instruction information, creates a work instruction transmission file, and stores the store. Send to business terminal. Each store business terminal executes screen display of work instruction contents based on the received work instruction transmission file.

Japanese Unexamined Patent Publication No. 10-20814

However, in the system described in Patent Document 1, for example, in a busy season or the like, the number of workers (clerks) who receive work instructions is insufficient, and the resources required for store sales are insufficient. May cause problems.

The present disclosure has been made in view of the above reasons, and an object of the present disclosure is to provide a store support method, a program, and a store support system that are unlikely to hinder the store's business due to lack of resources necessary for the store's business.

The store support method according to one aspect of the present disclosure includes a request acquisition process and a flexibility process. The request acquisition process is a process of acquiring request information regarding the resource that is insufficient at the interchange destination from an accommodation destination that is a store that operates using resources. The accommodation process is a process of generating accommodation information for accommodating the resource from the accommodation source to the accommodation destination in response to the request information. The accommodation information is information based on at least the demand forecast information regarding the demand forecast of the accommodation destination.

The program according to one aspect of the present disclosure is a program for causing one or more processors to execute the store support method.

The store support system according to one aspect of the present disclosure includes a request acquisition unit and a flexibility unit. The request acquisition unit acquires request information regarding the resource that is insufficient at the accommodation destination from the accommodation destination that is a store that operates using resources. The accommodation unit generates accommodation information for accommodating the resource from the accommodation source to the accommodation destination in response to the request information. The accommodation information is information based on at least the demand forecast information regarding the demand forecast of the accommodation destination.

According to the present disclosure, there is an advantage that the store's business is unlikely to be hindered due to the lack of resources required for the store's business.

FIG. 1 is a schematic system configuration diagram showing the configuration of the store support system according to the first embodiment. FIG. 2 is a conceptual diagram showing an example of using the pre-process of the store support method according to the first embodiment. FIG. 3 is a flowchart relating to the pre-process of the store support method described above. FIG. 4 is a conceptual diagram showing an example of using the same-day process of the same store support method. FIG. 5 is a conceptual diagram showing an example of using the post-process of the store support method described above. FIG. 6 is a schematic sequence diagram in the case where the offer information is accepted at the store as a candidate for the accommodation source in the same store support method. FIG. 7 is a schematic sequence diagram in the case where the offer information is rejected at the store as a candidate for the accommodation source in the same store support method. FIG. 8 is a conceptual diagram showing a usage example of the store support method according to the second embodiment.

(Embodiment 1)
Hereinafter, the store support method, the program, and the store support system 1 (see FIG. 1) according to the present embodiment will be described with reference to FIGS. 1 to 7.

(1) Outline The store support method according to the present embodiment is a method of supporting the business of store A1 as shown in FIGS. 1 and 2. In the present embodiment, a case where the store support method is introduced in a store A1 of a retail store such as a convenience store, a supermarket, a department store, a drug store, a home appliance mass retailer, or a home center will be described as an example.

The store support method according to the present embodiment supports the business of the store A1 by supporting the accommodation of resources used for the business of the store A1 with respect to this type of store A1. The “resource” referred to in the present disclosure is a resource necessary for the business of the store A1, and includes, for example, personnel and goods. Personnel as resources are "workers" who perform work related to the business of store A1, and as an example, store A1 clerk (including part-time workers and part-time workers), delivery company, cleaning company, maintenance company, etc. including. In addition, the goods as resources include, for example, goods sold at store A1. Furthermore, goods as resources include, for example, equipment installed in store A1 such as cash registers, multi-purpose machines or fixtures, shopping bags, cash register roll paper, shopping carts, cleaning tools, novelty goods distributed in campaigns, etc. In addition, it includes pops and leaflets used for product sales promotion.

That is, if the resources used for the business of the store A1 as described above are insufficient at a certain store A1, there is a possibility that the business at the store A1 will be hindered. Specifically, for example, if there is a shortage of clerk as a resource, the customer's waiting time at the cash register may become long, or the store A1 may not be cleaned properly, which may hinder the business at the store A1. There is sex. Similarly, for example, if there is a shortage of products as resources, the customer may not be able to purchase the desired product, or the product may not be sold, resulting in opportunity loss, which may hinder sales at store A1. There is sex.

Therefore, in the store support method according to the present embodiment, by supporting the accommodation of resources used for the business of the store A1, the business at the store A1 is less likely to be hindered. That is, when there is a shortage of resources used for the business of the store A1, the store A1 is used as the accommodation destination A11, and the resources are transferred from the accommodation source A12 to the accommodation destination A11 (store A1). The term "flexibility" of resources as used in the present disclosure means to manage resources with each other, that is, to devise various inadequate things (insufficient resources) to make them convenient. That is, in the store support method, for example, by lending or transferring resources from the accommodation source A12, which has abundant resources, to the accommodation destination A11, which lacks resources, between the accommodation source A12 and the accommodation destination A11. , Manage resources. As a result, the shortage of resources at the store A1 which is the accommodation destination A11 is solved or alleviated, and the business at the store A1 is less likely to be hindered.

Here, the accommodation source A12 may be a store A1 different from the accommodation destination A11, or may be, for example, a chain headquarters A2 that develops the store A1, a staffing company A3, or the like. When the accommodation source A12 is a store A1 different from the accommodation destination A11, the resource to be accommodated in the store A1 of the accommodation destination A11 is a resource that is also used for business in the store A1 which is the accommodation source A12. For example, if the resource is a clerk, if the clerk at the accommodation destination A11 is insufficient, the clerk at the accommodation source A12 will be accommodated at the accommodation destination A11.

By the way, the store support method according to the present embodiment uses the demand forecast information D1 (see FIG. 2) relating to the demand forecast of the store A1 in relation to the accommodation of resources as described above. That is, the store support method includes a request acquisition process and a flexibility process. The request acquisition process is a process of acquiring request information D2 (see FIG. 2) regarding resources deficient in the accommodation destination A11 from the accommodation destination A11 which is a store A1 that operates using resources. The accommodation process is a process of generating accommodation information D9 (see FIG. 2) for accommodating resources from the accommodation source A12 to the accommodation destination A11 in response to the request information D2. The accommodation information D9 is information based on at least the demand forecast information D1 regarding the demand forecast of the accommodation destination A11.

That is, according to the store support method described above, when the resources used in the business of the store A1 which is the accommodation destination A11 are insufficient, the accommodation information D9 is generated in response to the request information D2 from the accommodation destination A11. Can be done. Since the accommodation information D9 is information for accommodating resources from the accommodation source A12 to the accommodation destination A11, it is possible to exchange resources from the accommodation source A12 to the accommodation destination A11 according to the accommodation information D9. Moreover, since the accommodation information D9 is at least information based on the demand forecast information D1, the accommodation information D9 reflects the information related to the demand forecast of the accommodation destination A11 (demand forecast information D1). Therefore, it is easy to realize appropriate resource accommodation that reflects the demand forecast of store A1, which is the accommodation destination A11, and as a result, the shortage of resources required for the operation of store A1 is unlikely to hinder the operation of store A1. There is an advantage.

Further, the store support method according to the present embodiment is executed by the store support system 1 as an example. In other words, the store support system 1 is an aspect for embodying the store support method described above. That is, the store support system 1 supports the accommodation of resources used for the business of the store A1, so that the business at the store A1 is less likely to be hindered. The store support system 1 according to the present embodiment includes a request acquisition unit 12 and a flexibility unit 20. The request acquisition unit 12 acquires request information D2 regarding resources lacking in the accommodation destination A11 from the accommodation destination A11 which is a store A1 that operates using resources. The accommodation unit 20 generates accommodation information D9 for accommodating resources from the accommodation source A12 to the accommodation destination A11 according to the request information. The accommodation information D9 is information based on at least the demand forecast information regarding the demand forecast of the accommodation destination A11.

Here, the store support system 1 according to the present embodiment mainly comprises a computer system having one or more processors and one or more memories. In other words, the store support method according to the present embodiment is used on the computer system (store support system 1). In other words, the store support method can also be embodied in the program. The program according to the present embodiment is a program for causing one or more processors to execute the store support method according to the present embodiment.

(2) Details Hereinafter, the store support method, the program, and the store support system 1 according to the present embodiment will be described in detail.

(2.1) Premise In the present embodiment, the store A1 to which the store support method is applied is one of a plurality of stores A1 that are chained like a corporate chain (regular chain) or a franchise chain. Suppose. That is, the store A1 (accommodation destination A11) to which the resources used for sales are accommodated by the store support method is any one of the plurality of stores A1 in which the chain is developed. In particular, in the present embodiment, a case where the store A1 is a convenience store will be described as an example. In this type of store A1, owners B1 and B2 (see FIG. 2) that manage the store A1 and clerk C1 and C2 (see FIG. 2) employed by the store A1 are associated with each other.

The "accommodation destination" referred to in the present disclosure is a store A1 that receives the accommodation of resources (from the accommodation source A12) and operates using the resources. That is, if there is a store A1 that lacks the resources required for business, this store A1 will be the main body that receives the resources interchanged by the store support method as the accommodation destination A11. In the present embodiment, as described above, the “resources” to be accommodated are the clerk C1 and C2, so the store A1 lacking the clerk C1 becomes the accommodation destination A11.

The "accommodation source" referred to in the present disclosure is an entity that accommodates resources (to the accommodation destination A11). That is, if there is a store A1 that lacks the resources required for business, the accommodation source A12 becomes the main body that accommodates the resources to the store A1 (accommodation destination A11) by the store support method. Here, as described above, the accommodation source A12 may be a store A1 different from the accommodation destination A11, or may be, for example, a chain headquarters A2 that develops the store A1, a dispatching company A3, or the like. good.

In the present embodiment, as an example, the accommodation source A12 includes a store A1 different from the accommodation destination A11. However, the accommodation source A12 and the accommodation destination A11 are stores A1 that are related to each other. In the present embodiment, as an example, the accommodation source A12 and the accommodation destination A11 are related to each other being a store A1 in the same chain and being a store A1 existing in the vicinity (for example, within 5 km in a straight line distance). .. Further, in the present embodiment, it is assumed that the dispatched labor company A3 can also be a flexible source.

Further, the "resource" referred to in the present disclosure is an object of flexibility supported by the store support method, and as described above, is a resource necessary for the business of the store A1, and includes, for example, personnel and goods. In the present embodiment, as an example, the "resource" to be accommodated is the "personnel" required for the operation of the store A1 (convenience store). More specifically, in the case where the accommodation source A12 is the store A1 (separate from the accommodation destination A11) as in the present embodiment, the clerk C2 employed by the accommodation source A12 is the target of the accommodation. It is a resource.

Further, in the following, in order to distinguish between the store A1 which is the accommodation destination A11 and the store A1 which is the accommodation source A12, the store A1 which is the accommodation destination A11 is referred to as "store A11" and the store A1 which is the accommodation source A12 is referred to as "store". Sometimes called "A12".

Further, the "store" referred to in the present disclosure may include not only the store A1 as a real estate (facility) but also the store A1 as an organization. For example, the store A1 as an organization may include the managers (owners B1 and B2) of the store A1 and the clerk C1 and C2 employed in the store A1. As an example, the "accommodation destination A11" that is the acquisition source of the request information D2 in the request acquisition process for acquiring the request information D2 from the accommodation destination A11 refers not only to the store A1 as real estate but also to the owner B1 of the store A1. There is also. Similarly, the store A12 may also refer to the owner B2 of the store A12, etc., instead of the store A1 as real estate.

Further, the "work" referred to in the present disclosure means a work that occurs in the store A1 and is imposed on a person (clerk C2) as a resource to be accommodated as a work and is executed by the person. do. Generally, such "work" is also called a task, and is a work related to the sales of the store A1. If store A1 is a convenience store, as an example of work, product display, inventory, toilet cleaning, cash register support, hot snack support, electric pot hot water replenishment, hot snack replenishment (preparation), garbage bag replacement , Product delivery and replenishment of consumables. Further, not only the work performed inside the store A1, but also the work performed outside the store A1, such as cleaning the roads around the store A1, is included in the “work”.

Further, in the present embodiment, as an example, it is assumed that the number of stores A1 that can be the accommodation destination A11 is 10,000 or more. Hereinafter, the case where one of the plurality (many) stores A1 is the accommodation destination A11 will be described, but in reality, the plurality of stores A1 can be the accommodation destinations A11, respectively. That is, the store support method may target each of the plurality of stores A1 as the target of support, but in the following, for the sake of simplicity, a case where there is one accommodation destination A11 will be described as an example.

(2.2) Configuration of Store Support System Next, the configuration of the store support system 1 according to the present embodiment will be described with reference to FIG.

As described above, the store support system 1 is a system that supports the business of the store A1 by supporting the accommodation of resources used for the business of the store A1. In the present embodiment, as described above, the resource accommodation destination A11 and the resource accommodation source A12 are both stores A1 in the same chain and stores A1 existing in the vicinity. Further, in the present embodiment, the resources to be accommodated are the clerk C1 and C2. That is, the store support system 1 according to the present embodiment supports the accommodation of clerk C1 and C2 as resources used for the business of the store A1 between the stores A1 in the same chain and the stores A1 existing in the vicinity. Used to do.

As an example in this embodiment, the store support system 1 is a server device installed in the chain headquarters A2. The chain headquarters A2 is an organization (facility) that has jurisdiction over at least the store A1 which is the accommodation destination A11. In the present embodiment, since the accommodation destination A11 and the accommodation source A12 are the stores A1 of the same chain, both are managed by the chain headquarters A2.

Further, in the present embodiment, the store support system 1 is connected to a network NT1 such as the Internet. The information terminal 31 used by the owner B1 of the store A1 as the accommodation destination A11 and the information terminal 32 used by the owner B2 of the store A1 as the accommodation source A12 can be connected to the network NT1. Further, the information terminal 33 used by the operator B3 of the dispatching company A3 and the information terminal 34 used by the clerk C2 employed by the store A1 as the accommodation source A12 can be connected to the network NT1. These information terminals 31 to 34 are, for example, smartphones, tablet terminals, personal computers, and the like. Each of the information terminals 31 to 34 may be connected to the network NT1 via, for example, a mobile phone network (carrier network) or a public wireless LAN (Local Area Network) provided by a telecommunications carrier.

As a result, the store support system 1 can communicate with at least the information terminals 31 to 34 via the network NT1. The term "communicable" as used in the present disclosure means that signals can be exchanged directly or indirectly via a network NT1 or a repeater by an appropriate communication method of wired communication or wireless communication. Further, in the present embodiment, the information terminals 31 to 34 are configured to be able to communicate with each other.

Here, a store computer, a POS (Point Of Sales) system, or the like is installed in each store A1. A plurality of store computers or POS systems may be provided in each store A1. The store computer may be information terminals 31, 32, 34 owned by the clerk C1, C2 of the store A1, the owners B1, B2, and the like. Further, in the present embodiment, the POS system is a so-called "ID-POS" capable of handling ID-POS data. The "ID-POS data" referred to here is data in which a "customer ID" as customer identification information (ID: identification) is added to the POS data. This type of POS system (ID-POS) acquires customer identification information (customer ID) by authenticating the customer when the customer makes a purchase. As an example, customer authentication may be realized by various cards such as membership cards, point cards, credit cards, etc., communication with the customer's mobile information terminal, biometric authentication (including face authentication), and the like. May be done.

According to such a store computer or POS system, it is possible to transmit at least the purchase history of products in the store A1 as actual data to the store support system 1 via the network NT1. In particular, in the present embodiment, the POS system can handle ID-POS data. Therefore, for example, every time an accounting is performed, the information of the purchased product is used as the customer identification information (customer ID). It can be output as a purchase history in the associated state.

In the present embodiment, the store support system 1 includes a request acquisition unit 12 and a flexibility unit 20 as described above. In the present embodiment, the store support system 1 includes a demand forecasting unit 11, a comparison unit 13, a verification unit 14, an effect estimation unit 15, a cause estimation unit 16, a work designation unit 17, a search unit 18, a reception unit 19, and a notification unit 21. Further includes an evaluation unit 22, a communication unit 23, a collection unit 24, and a data storage unit 25. That is, the store support system 1 includes a demand forecasting unit 11, a request acquisition unit 12, a comparison unit 13, a verification unit 14, an effect estimation unit 15, a cause estimation unit 16, a work designation unit 17, a search unit 18, a reception unit 19, and flexibility. A unit 20, a notification unit 21, an evaluation unit 22, a communication unit 23, a collection unit 24, and a data storage unit 25 are provided. In the present embodiment, as described above, the store support system 1 mainly includes a computer system (here, a server device) having one or more processors and one or more memories. In the store support system 1, functions other than the communication unit 23 and the data storage unit 25 (demand forecast unit 11, request acquisition unit 12, comparison unit 13, verification unit 14, accommodation unit 20, evaluation unit 22, etc.) are 1 or more. It is embodied by the processor executing the program.

The demand forecasting unit 11 executes a demand forecasting process for forecasting the demand of the store A1 and generates the demand forecasting information D1. The demand of the store A1 predicted by the demand forecast processing includes, for example, the sales, the unit price of customers, the average value of LTV (Life Time Value), or the profit (gross profit and operating profit, etc.) of the store A1 in the forecast target period. ) Etc. are the estimation results. The forecast target period is a period set in the future with respect to the present, and is set in an arbitrary unit such as a daily unit, a week unit, or a monthly unit. The demand predicted by the demand forecasting process may be predicted for each store A1 or may be collectively predicted for a plurality of stores A1. In the present embodiment, as an example, in the demand forecast processing, the demand is predicted for each store A1 and the demand forecast information D1 is generated.

The term "estimate" as used in the present disclosure means to make a decision (decision), and in particular, it is not limited to a person making a decision by thinking about it, but also includes making a decision based on a certain fact. Therefore, for example, when input information is input to a computer system, if the computer system performs a calculation based on the input information and outputs some information as output information, the output information is "" in the computer system. It has been "estimated". That is, the demand forecasting unit 11 inputs the operation information of the store A1 described later, and estimates the demand of the store A1 by specifying the demand in the forecast target period based on the operation information.

The request acquisition unit 12 executes a request acquisition process for acquiring request information D2 regarding resources lacking in the accommodation destination A11 from the accommodation destination A11 which is a store A1 that operates using resources.

The comparison unit 13 executes a comparison process that outputs the demand forecast information D1 in a manner that can be compared with the request information D2. The demand forecast information D1 used in the comparison processing is not limited to the demand forecast information D1 itself, and may be information obtained based on the demand forecast information D1. For example, when the required amount of resources (usage status) at the store A1 in the forecast target period is estimated from the demand forecast information D1, the required amount of resources is set as the demand forecast information D1 and can be compared with the request information D2. It may be output. That is, the demand forecast information D1 such as sales may be converted into the required number of resources (clerk C1 in this embodiment) and used as the output target in the comparison process. Here, the mode of output performed by the comparison unit 13 includes, for example, data output (including output in the store support system 1), transmission, display, audio output, and recording (writing) on a non-temporary recording medium. And printing (printout) etc. are included.

The verification unit 14 executes a verification process for verifying the validity of accommodating resources from the comparison result between the demand forecast information D1 and the request information D2. Here, the verification unit 14 executes the verification process by using the demand forecast information D1 and the request information D2 in the contrastable manner output from the comparison unit 13.

The effect estimation unit 15 executes an effect estimation process for estimating the effect that can be exerted on at least one of the accommodation destination A11 and the accommodation source A12 when the resource is transferred to the accommodation destination A11. In the present embodiment, since the accommodation destination A11 and the accommodation source A12 are both stores A1 that perform business, the effect estimated by the effect estimation process can affect at least one of the business of the accommodation destination A11 and the accommodation source A12. It is an effect.

The cause estimation unit 16 executes a cause estimation process for estimating the cause of the resource shortage at the accommodation destination A11.

The work designation unit 17 executes a work designation process for receiving work designation information D11 (see FIG. 4) that specifies at least one of the work content and the work skill required of the personnel (clerk C2) who is accommodated in the accommodation destination A11 as a resource. do.

The search unit 18 executes a search process for searching the accommodation source A12 based on the location information. The location information is information regarding the location of the resource to be accommodated in the accommodation destination A11. In the search process, the store A1 that is a candidate for the accommodation source A12 is searched.

The reception unit 19 executes a reception process of receiving the response information D6 from the accommodation source A12 as a response to the request information D2. The response information D6 is information representing the status of flexible resources. Here, the “accommodation source A12” that is the reception source of the response information D6 in the reception process is not limited to the store A1 as real estate, but may also refer to the owner B2 of the store A1 or the like.

The accommodation unit 20 executes an accommodation process for generating accommodation information D9 for accommodating resources from the accommodation source A12 to the accommodation destination A11 in response to the request information D2. That is, the accommodation information D9 is generated in the accommodation unit 20. In the present embodiment, the accommodation unit 20 generates the accommodation information by using at least the verification result of the verification unit 14 and the response information D6 and the like received by the reception unit 19.

The notification unit 21 executes a notification process for notifying the accommodation destination A11 of the accommodation information D9. Here, the mode of notification performed by the notification unit 21 includes, for example, data output (including output in the store support system 1), transmission, display, voice output, and recording (writing) on a non-temporary recording medium. And printing (printout) etc. are included.

The evaluation unit 22 executes an evaluation process for receiving evaluation information from at least one of the accommodation destination A11, the accommodation source A12, and the personnel (clerk C2) who are accommodated in the accommodation destination A11 as a resource. The evaluation information is information related to the evaluation of the accommodation of resources, and is included in reports D13, D14, D15 (see FIG. 4) from at least one of the accommodation destination A11, the accommodation source A12, and the clerk C2 as a resource. It can be.

The communication unit 23 is directly or indirectly connected to the network NT1 via another network or a repeater or the like. The communication unit 23 has a communication function with a system or a terminal connected to the network NT1. As a result, the communication unit 23 is configured to be able to communicate with the information terminals 31 to 34 connected to the network NT1 and the store computer or POS system of each store A1.

The collecting unit 24 uses the communication unit 23 to collect various data from a plurality (many) systems or terminals connected to the network NT1. As an example, the collection unit 24 collects various data from the detection results of various sensors (including cameras) installed in the store A1 and the store computer, the POS system, and the like.

The data storage unit 25 stores, for example, various data collected by the collection unit 24. Further, the data storage unit 25 further stores (stores) information and the like necessary for calculations in the demand forecasting unit 11, the request acquisition unit 12, the comparison unit 13, the verification unit 14, the accommodation unit 20, the evaluation unit 22, and the like. Further, the data storage unit 25 also stores the trained model used in the demand forecast processing described later. The data storage unit 25 includes a rewritable non-volatile memory such as an EEPROM (Electrically Erasable Programmable Read-Only Memory).

The details of the operation of each part of the store support system 1 described above will be described in the column of "(2.3) Store support method".

Further, the store support system 1 may further include a user interface and the like in addition to the above configuration. However, the user interface and the like are not essential configurations for the store support system 1.

The user interface includes, for example, a touch panel display, accepts user operations, and presents (displays) information to the user. The user interface is not limited to the touch panel display, and may have an input device such as a keyboard, a pointing device, a mechanical switch, or a gesture sensor. Further, the user interface may have an audio input / output unit instead of the touch panel display or together with the touch panel display.

(2.3) Store Support Method Hereinafter, the store support method according to the present embodiment will be described in more detail with reference to FIGS. 2 to 7. Here, an example is taken when the store support method is executed by the store support system 1.

In the following, as an example, since the number of personnel (clerk C1) is insufficient on a specific day at a certain store A1, this store A1 is set as the accommodation destination A11, and the personnel (clerk C2) as a resource from the accommodation source A12 is assigned on the specific day. The description will be made on the assumption that the accommodation destination A11 is accommodated. As an example, the specific date shall be "December 20, 2019". In particular, in the cases illustrated in FIGS. 2 to 4, the accommodation source A12 is a store A1 different from the accommodation destination A11, and the clerk C2 employed by the accommodation source A12 has a specific date (December 20). ), It is assumed that the "resource" is to be accommodated to the accommodation destination A11. However, these conditions are merely one specific example for explaining the store support method, and do not intend to limit the scope of application of the store support method.

In the following, regarding the store support method, the "preliminary process" until the accommodation information D9 necessary for resource accommodation is generated, the "same-day process" related to the specific date (December 20) when the resource is exchanged, and the resource The explanation will be divided into three parts, the "post-process" after the flexibility of. Further, since the accommodation information D9 is at least information based on the demand forecast information D1 regarding the demand forecast of the accommodation destination A11, first, the "demand forecast processing" for generating the demand forecast information D1 will be described.

Further, in the following description, for example, the data (information) exchanged between the chain headquarters A2 and the store A1 is actually the information terminals 31 and 32 used by the store support system 1 and the owners B1 and B2. Is being sent and received between. Similarly, the data (information) exchanged between the chain headquarters A2 and the dispatching company A3 is actually transmitted and received between the store support system 1 and the information terminal 33 used by the operator B3. Similarly, the data (information) exchanged between the chain headquarters A2 or the store A1 and the clerk C1 and C2 is actually the information terminals 31 and 32 used by the store support system 1 or the owners B1 and B2. , It is transmitted and received to and from the information terminal 34 used by the clerk C1 and C2. More specifically, dedicated application software (program) is installed in each information terminal 31 to 34, and by starting this application software, data (information) with the store support system 1 or the like is provided. Is sent and received.

In other words, the store support method according to the present embodiment is used on a graphical user interface (GUI) of a computer system. That is, in the store support method, a specific operation screen is displayed on the information terminals 31 to 34 having a computer system as the main configuration, and the owner B1, B2, the operator B3, the clerk C1, C2, etc. are displayed on the operation screen. Accept operations. As a result, for example, data (information) can be exchanged between the chain headquarters A2 and the store A1 as described below.

(2.3.1) Demand Forecast Processing In the present embodiment, the “demand forecast processing” for generating the demand forecast information D1 is a process executed by the demand forecast unit 11. Here, in the demand forecast processing, the demand of the store A1 is predicted by using the machine-learned trained model.

That is, the demand forecasting unit 11 predicts the demand of the store A1 by using the trained model machine-learned from the actual data of a large number of stores A1 belonging to (membering) the same chain. Specifically, the demand forecasting unit 11 uses the trained model to input, for example, operational information, and estimates the demand forecasting information D1. The operation information is information on the operation status of the store A1, for example, information on the product lineup (product composition), specifically, information such as the number of SKUs (Stock Keeping Units) or the number of items for each product category. include.

Further, the operation information may include, for example, information on the purchasing tendency in the store A1, the surrounding environment of the store A1, and information on the location and floor plan of the store A1. The operation information may further include dynamic information that changes from time to time, such as the holding status of events (sports or concerts, etc.) around the store A1, weather conditions (including weather), and traffic conditions (traffic closure, etc.). Specific examples of the surrounding environment of store A1 include the total population, the population by age group, the ratio of day and night population, the number of offices, the number of employees, the number of stations, or the number of stations within a certain range (trade area) from store A1. There are the number of users. Further, as a specific example of the surrounding environment of the store A1, the number and types of competing stores of the store A1 or the number of facilities having an effect of attracting customers such as a stadium or a concert hall within a certain range (commercial area) from the store A1. And there are also types. Specific examples of the location and floor plan of the store A1 include the presence or absence of a parking lot, the presence or absence of a bicycle parking lot, the number of parking lots, the site area, the presence or absence of an eat-in space, the presence or absence of a signboard, or whether or not the store faces the main road.

On the other hand, the actual data used for generating the trained model is information related to the sales, the customer unit price, the average value of LTV, the profit, etc. of the store A1 in the learning target period. The learning target period is a period set in the past with respect to the present, and is set in an arbitrary unit such as a daily unit, a week unit, or a monthly unit. Here, at least a plurality of store A1 performance data is used to generate the trained model, and more preferably, a large number of store A1 performance data such as all stores belonging to the same chain are used.

In the demand forecast processing, the demand forecast information D1 regarding the demand of the store A1 is generated by using such a learned model. In the present embodiment, the demand forecast information D1 is generated for each store A1 in the demand forecast process. Therefore, in the demand forecast process, at least the operation information of a certain store A1 is input, and the learned model is used to generate the demand forecast information D1. Forecast demand. In the present embodiment, as an example, the forecast target period for which the demand is predicted by the demand forecast process is set in units of one day. For example, by setting the forecast target period such as "December 20, 2019", the demand of the store A1 on the specific date "December 20, 2019" is predicted.

The operation information used for the demand forecast processing can be specified by the detection results of various sensors (including cameras) installed in the store A1 and the information collected by the collection unit 24 from the store computer, the POS system, or the like. Further, the operation information such as the holding status of the event, the weather condition, and the traffic condition around the store A1 can be appropriately collected by the collecting unit 24 from various servers connected to the network NT1. In addition, the collection unit 24 can appropriately collect the actual data used for generating the trained model (machine learning) from the store computer or the POS system of each store A1.

By the way, for example, when the number of stores A1 to which the store support method can be applied can be as many as 100 stores or more, 1000 stores or more, or 10000 stores or more, such as a convenience store, demand forecast using a learned model. Is especially useful.

That is, usually, a large number of stores A1 are operating under different conditions, and in order to reflect a huge amount of information over these many stores A1 for a specific store A1, a person is required. It requires operations that far exceed the processing capacity of the above, and cannot be realized by humans. Moreover, since the information on the operation and management of many of these stores A1 changes from time to time (for example, seasonally), the demand forecast should be updated in consideration of the latest information of many stores A1. Such as, it can never be done by humans. Further, the process of processing such a huge and fluctuating information is difficult not only for humans but also for general information processing devices.

In the store support method according to the present embodiment, information (actual data, etc.) related to a large number of stores A1 is used for machine learning of the trained model used in the demand forecast processing, which is enormous and fluctuates as described above. Even the information to be processed can be processed. Rather, in machine learning, the larger the amount of training data, the better the accuracy of the generated trained model can be expected, so it is convenient to use the information of a large number of stores A1 as training data. As described above, the store support method according to the present embodiment is particularly useful in a business format in which a large number of stores A1 can be developed.

(2.3.2) Preliminary process Next, among the store support methods according to the present embodiment, refer to FIGS. 2 and 3 for the “preliminary process” until the accommodation information D9 necessary for resource accommodation is generated. I will explain. FIG. 3 is a flowchart showing an example of a store support method related to the pre-process.

Here, it is assumed that the resource (clerk C2) is transferred from the store A12 to the store A11 on "December 20, 2019" as a specific date. Therefore, the pre-process is performed at an arbitrary time before "December 20, 2019", which is a specific date. Here, as an example, the pre-process is performed on "December 13, 2019", which is one week before the specific date.

First, as a premise of the preliminary process, various data such as operation information and actual data are collected at any time by the collection unit 24 (S1 in FIG. 3). Based on the collected data, the demand forecast processing is executed according to the procedure described in "(2.3.1) Demand forecast processing" (S2 in FIG. 3).

Then, on "December 13, 2019", as shown in FIG. 2, the forecast obtained by the demand forecast processing for each store A1 from the store support system 1 (see FIG. 1) of the chain headquarters A2. The result, that is, the demand forecast information D1 is delivered (S3 in FIG. 3). The demand forecast information D1 transmitted at this time is, for example, the sales at the store A1, the average value of LTV, or the average value of LTV when the specific date "December 20, 2019" is set as the forecast target period. This is information representing the result of estimating profits and the like. The demand forecast information D1 is transmitted not only to the store A11 but also to a plurality of stores A1 including the store A12. However, since the demand forecast information D1 is generated for each store A1, the demand forecast information D1 related to the demand forecast of the destination store A1 is transmitted. For example, the demand forecast information D1 related to the demand forecast of the store A11 is transmitted to the store A11, and the demand forecast information D1 related to the demand forecast of the store A12 is transmitted to the store A12.

The owners B1 and B2 of the store A1 that have received the demand forecast information D1 refer to the result of the demand forecast of the specific date "December 20, 2019" represented by the demand forecast information D1 and refer to the result of the demand forecast of the store A1. It is determined whether or not the personnel (clerks C1 and C2), which are the "resources" necessary for sales, are sufficient. That is, the owners B1 and B2 determine whether or not the clerk C1 and C2 are insufficient on a specific day (December 20th) while comparing the result of the demand forecast with the shift of the clerk C1 and C2. .. The “shift” here is a working timetable for each clerk C1 and C2 employed in the store A1.

Here, it is assumed that the shortage of the clerk C1 occurs only in the store A11 out of the store A11 and the store A12. That is, as shown in FIG. 2, in the store A11, according to the shift on a specific day (December 20th), only two clerk C11 and C12 can be secured, and in light of the result of the demand forecast on the specific day. , The number of clerk C1 is insufficient. On the other hand, at store A12, according to the shift on a specific day (December 20th), four clerk C21 to C24 can be secured, and there is a surplus in the number of clerk C2 in light of the result of the demand forecast on the specific day. It is happening. In such a situation, the owner B1 of the store A11 transmits the request information D2 to the chain headquarters A2. Specifically, the request information D2 is transmitted from the information terminal 31 used by the owner B1 of the store A11 to the store support system 1.

The request information D2 includes at least identification information for identifying the source store A11, time information for specifying the specific date (December 20), and insufficient information indicating the insufficient resources, the insufficient amount, and the like. I'm out. Further, in the present embodiment, the request information D2 also includes information such as the quantity of resources (existing resources) currently secured in the store A11, work designation information D11 and the like.

At this time, the request acquisition unit 12 executes a request acquisition process for acquiring the request information D2 regarding the resource shortage in the store A11 from the store A11 (S4 in FIG. 3). On the other hand, in consideration of the possibility that the owner B1 of the store A11 cannot receive the accommodation of resources (clerk C2), the shift adjustment D3 is performed for the clerk C1 of the store A11, such as whether or not he / she can additionally work. implement. The shift adjustment D3 is also performed online between, for example, the information terminal 31 used by the owner B1 and the information terminal 34 used by the clerk C1.

If the chain headquarters A2 acquires the request information D2 from the store A11, that is, if there is a "request" (S5: Yes in FIG. 3), the store support system 1 uses the comparison unit 13 to obtain the demand forecast information D1. , The comparison process that outputs the request information D2 in a manner that can be compared with the request information D2 is executed. In the comparison process, the demand forecast information D1 transmitted to the store A11 and the request information D2 acquired from the same store A11 are output to the verification unit 14 in a form that can be compared (S6 in FIG. 3). Then, the verification unit 14 that has received the demand forecast information D1 and the request information D2 in a comparable manner output from the comparison unit 13 can accommodate resources from the comparison result between the demand forecast information D1 and the request information D2. The verification process for verifying the validity is executed (S7 in FIG. 3).

Specifically, in the verification process, the resource (clerk C1) is insufficient at the store A11 based on the comparison result between the required number of resources (clerk C1) estimated from the demand forecast information D1 such as sales and the request information D2. Determine if there is a situation. Basically, if the quantity of resources currently secured (existing resources) is insufficient for the required number of resources estimated from the demand forecast information D1, the resources are insufficient at the store A11. Judge that there is a situation. On the other hand, if more resources than the required number of resources estimated from the demand forecast information D1 are currently secured, it is determined that the store A11 is not in a shortage of resources.

Furthermore, if it is determined that there is a shortage, in the verification process, for example, based on the past performance data of a large number of stores A1, the work procedure of the clerk C1 is changed to realize it only by the current clerk C1. Consider measures to solve resource depletion, such as operations that can be performed. As an example, in store A1, which has many items in common with store A11, if there is a track record of operating normally even during the busy season when the number of clerk C1 is small by changing the priority of product delivery, such an operation can be performed. , Consider as a solution to the resource shortage. In the verification process, if it is confirmed that the resources are insufficient and there is no appropriate solution, the validity of accommodating the resources is judged to be "reasonable".

On the other hand, if it is judged in the verification process that there is no shortage of resources, or if it is judged that there is an appropriate solution, it is judged that the appropriateness of accommodating resources is not appropriate, that is, it is unreasonable. NS. In short, in the present embodiment, it is determined whether or not the request information D2 acquired from the store A11 is appropriate based on the past performance data of a plurality of stores A1 including the store A11 that issued the request information D2. Become.

When it is determined that the accommodation of resources is “reasonable” (S8: Yes in FIG. 3), the store support system 1 executes the effect estimation process in the effect estimation unit 15 (S9 in FIG. 3). In the effect estimation process, when the resource is accommodated to the accommodation destination A11, the effect that can be exerted on at least one (business) of the accommodation destination A11 and the accommodation source A12 is estimated. That is, assuming that the personnel (clerks) as resources are accommodated for the store A11, the degree of the effect that can spread to the sales at the store A11 is estimated as compared with the case where the personnel (clerks) are not accommodated. Estimate by processing. As an example, in the effect estimation process, the average value of sales, customer unit price, and LTV at the store A11 on the side receiving the accommodation, when the resource (clerk) is not accommodated and when the resource (clerk) is accommodated. , Or the difference (increase) such as profit is estimated as an effect.

Alternatively, assuming that the personnel (clerks) as resources are accommodated for the store A11, for example, a negative (minus) effect that can spread to the business at the store A12 is compared with the case where the personnel (clerks) are not accommodated. The degree may be estimated by the effect estimation process. As an example, in the effect estimation process, the sales, the unit price of customers, the average value of LTV, or the average value of LTV in the case where the resource (clerk) is not accommodated and the case where the resource (clerk) is accommodated, at the store A12 on the accommodating side, or The difference (decrease) in profits, etc. is estimated as a negative (minus) effect. The negative effect of the store A12 is, for example, transmitted to the store A1 as a candidate of the accommodation source A12 by being included in the offer information D4 in the reception process described later. As a result, the owner B2 of the store A12 can evaluate the overall profit / loss for the store A12 by comparing the negative effect on the store A12 with the accommodation allowance described later. Furthermore, even if the negative effect and the flexibility allowance are deducted and become negative (decrease in sales), the owner B2 of the store A12 can be used as an opportunity for, for example, education of the clerk C2 and case study at another store A1. It may be grasped and the accommodation of the clerk C2 may be undertaken as the accommodation source A12.

Then, the store support system 1 executes the cause estimation process in the cause estimation unit 16 (S10 in FIG. 3). In the cause estimation process, the cause of the resource shortage at the accommodation destination A11 is estimated. That is, it is determined whether or not the recruitment of human resources is carried out at the store A11, the content of the recruitment of human resources, and whether or not the shift adjustment D3 is carried out, and what is the cause of the shortage of resources (clerks) at the store A11. Estimate by estimation process. As an example, in the cause estimation process, the cause is an event that has a certain degree of correlation with the resource shortage on a specific day, such as a chronic shortage of personnel due to the lack of recruitment. presume.

In the present embodiment, as an example, the estimation result of the effect estimation process and the estimation result of the cause estimation process are included in the accommodation information D9 and transmitted to the store A1 which is the accommodation destination A11. Further, the estimation result of the effect estimation process and the estimation result of the cause estimation process are stored in the data storage unit 25 as actual results and used for the subsequent verification process and the like.

Next, the store support system 1 executes a work designation process for receiving the work designation information D11 in the work designation unit 17 (S11). The work designation information D11 is information that specifies at least one of the work content and the work skill required of the personnel (clerk C2) who is accommodated in the accommodation destination A11 as a resource. The "work content" referred to here is information that is imposed on the clerk C2, which is a resource as an object of accommodation, as a business, and specifies the content of the work to be executed by the clerk C2 as the execution subject. As an example of work contents, product display, inventory, toilet cleaning, cash register support, hot snack support, electric pot hot water replenishment, hot snack replenishment (preparation), garbage bag replacement, product delivery and consumables There is replenishment etc. Further, the "work skill" referred to here is a skill required for executing work with respect to the clerk C2, which is a resource as a target of accommodation. As an example, "working skill" is expressed stepwise by a beginner, a regular, a leader, etc. with respect to the clerk C2. Alternatively, "work skill" is expressed by specifically whether or not the work is possible, such as whether or not the cash register can be handled, whether or not inventory can be taken, or whether or not hot snacks can be replenished.

In the present embodiment, as an example, the work designation information D11 is included in the request information D2 and is acquired from the store A11. That is, the store support system 1 acquires the work designation information D11 from the store A11 when the request information D2 is acquired. Therefore, in the work designation process, the work designation information D11 is received by extracting the work designation information D11 from the request information D2.

Then, the store support system 1 executes the search process in the search unit 18 (S12 in FIG. 3). In the search process, the accommodation source A12 is searched based on at least the location information regarding the location of the resource to be accommodated in the accommodation destination A11. That is, in the search process, the store A1 that is a candidate for the accommodation source A12 is searched. Specifically, in the search process, the store A1 that satisfies the conditions for the resources required by the request information D2 is searched. That is, in the present embodiment, for example, the store of the accommodation source A12 is required to exist in the vicinity (for example, within 5 km in a straight line distance) in relation to the store A1 of the accommodation destination A11. Further, the store A1 having the shortage of resources specified in the request information D2 and the personnel (clerk C2) who satisfy the work contents and work skills specified in the work designation information D11 is searched as a candidate for the accommodation source A12. Will be done. In other words, the store A1 as a candidate for the accommodation source A12 is searched based on the location information regarding the location of the person (clerk C2) who satisfies the work content and the work skill specified in the work designation information D11. In the search process, a plurality of stores A1 may be searched as candidates for the accommodation source A12.

Then, the store support system 1 executes the reception process at the reception unit 19 (S13, S14 in FIG. 3). In the reception process, as a response to the request information D2, the response information D6 indicating the status of the flexible resource is received from the accommodation source A12.

Specifically, in the reception process, as shown in FIG. 2, the chain headquarters A2 first transmits the offer information D4 to the store A1 as a candidate for the accommodation source A12 searched in the search process (FIG. 3). S13). The offer information D4 represents at least the identification information for identifying the store A11 from which the request information D2 is transmitted, the time information for specifying the specific date (December 20), the shortage of resources, the shortage amount, and the like. Contains missing information. Further, in the present embodiment, the offer information D4 also includes information such as the quantity of resources (existing resources) currently secured in the store A11, work designation information D11 and the like.

The owner B2 of the store A12 that has received the offer information D4 is required for the business of the store A1 by referring to the result of the demand forecast of "December 20, 2019", which is the specific date represented by the demand forecast information D1. It is judged whether or not it is possible to accommodate the personnel (clerk C2) who are the "resources". That is, the owner B2 determines whether or not there is a margin in the shift of the clerk C2 while comparing the result of the demand forecast with the shift of the clerk C2 on the specific day (December 20). At this time, the owner B2 performs shift adjustment D5 for the clerk C2 included in the shift of the store A12 and the clerk C2 not included in the shift of the store A12, such as whether or not to enter the work of the store A11. do. Here, in the shift adjustment D5, it is preferable that the content of the offer information D4 is transmitted from the owner B2 to the clerk C2. The shift adjustment D5 is also performed online between, for example, the information terminal 32 used by the owner B2 and the information terminal 34 used by the clerk C2.

Here, at store A12, according to the shift on a specific day (December 20th), four clerk C21 to C24 can be secured, and in light of the result of the demand forecast on the specific day, two clerk C22, Suppose C23 is included in the extra shift. In this case, the store A12 has a margin for the shift of the clerk C2, and it is judged that the resources (clerks C22 and C23) can be accommodated. The owner B2 of the store A12 transmits the response information D6 including the status of the flexible resources as a response to the offer information D4 to the chain headquarters A2. Specifically, the response information D6 is transmitted from the information terminal 32 used by the owner B2 of the store A12 to the store support system 1.

The response information D6 is information indicating the status of the interchangeable resource, and includes, for example, information such as whether or not the resource can be accommodated, or information that only a part of the resources can be accommodated. When some resources can be accommodated, the response information D6 may include information such as the quantity of available resources. The response information D6 further includes identification information for identifying the accommodation source A12 and the accommodation destination A11, and time information for specifying the specific date (December 20th).

At this time, the reception unit 19 executes a reception process for receiving the response information D6 as a response to the request information D2 from the store A12 (S14 in FIG. 3). When the chain headquarters A2 acquires the response information D6 from the store A12, it is determined from the contents of the response information D6 whether or not the offer information D4 has been accepted (S15 in FIG. 3). Here, since the response information D6 from the store A12 indicates that the resources (clerks C22 and C23) can be accommodated, the offer information D4 is accepted (S15: Yes in FIG. 3).

That is, when the store support system 1 acquires the response information D6 indicating that the resources can be accommodated and the offer information D4 is accepted (S15: Yes in FIG. 3), the accommodation unit 20 The accommodation process for generating the accommodation information D9 is executed (S16 in FIG. 3). Here, the flexibility information D9 is generated in consideration of at least the verification result of the verification process (S7 in FIG. 3) and the content of the response information D6.

The accommodation information D9 is information for accommodating resources from the accommodation source A12 to the accommodation destination A11, and for example, whether or not the resources requested by the request information D2 can be accommodated, or only a part of the resources can be accommodated. Contains information. When some resources can be accommodated, the accommodation information D9 may include information such as the quantity of the interchangeable resources. Further, when it is possible to accommodate at least a part of the resources, it is preferable that the accommodation information D9 also includes information on the resources to be accommodated. For example, when the resource to be accommodated is personnel (clerks C22, C23), personnel information regarding the personnel (clerks C22, C23) to be accommodated, specifically, the clerk code, name, gender, Information such as age and work skills is preferably included in the flexibility information D9. The accommodation information D9 further includes identification information for identifying the accommodation source A12 and the accommodation destination A11, and time information for specifying the specific date (December 20th). Further, in the present embodiment, the accommodation information D9 further includes the estimation result of the effect estimation process (S9 in FIG. 3) and the estimation result of the cause estimation process (S10 in FIG. 3).

Then, as shown in FIG. 2, the generated accommodation information D9 is transmitted from the store support system 1 of the chain headquarters A2 to the accommodation destination A11. That is, the store support system 1 executes the notification process of notifying the accommodation information D9 to the accommodation destination A11 in the notification unit 21 (S17 in FIG. 3). As a result, the owner B1 of the store A11 (accommodation destination) receives the notification of the accommodation information D9 at the information terminal 31, and the shortage of resources on the specific date (December 20) is reported to the store A12 (accommodation source). ), And know that it can be solved by accommodating resources (clerks C22, C23). This completes a series of processes related to the pre-process in the store support method.

On the other hand, if the offer information D4 is not accepted at the store A1 as a candidate for the accommodation source A12 (S15: No (first time) in FIG. 3), as shown in FIG. 2, the dispatching company of the accommodation source Offer information D7 is transmitted from the chain headquarters A2 to A3 (S18 in FIG. 3). After the offer information D7 is transmitted, the store support system 1 executes the reception process of receiving the response information D8 from the dispatching company A3 at the reception unit 19 (S14 in FIG. 3). The dispatching company A3 has an employment contract with a plurality of staff members C3, and selects a staff member C3 to be accommodated (dispatched) to the store A11 from among these multiple staff members C3 according to the offer information D4. .. Specifically, when the operator B3 of the dispatching company A3 receives the offer information D7 at the information terminal 33, the operator B3 selects the staff C3 according to the content of the offer information D7 and issues the offer to the selected staff C3. Here, it is preferable that the staff C3 employed by the dispatching company A3 is educated in advance so that he / she can perform tasks such as picking up products and handling cash registers.

As a result, even in a case where the shortage of resources cannot be sufficiently covered by simply setting the store A1 as the accommodation source A12, such as when the store A1 does not exist in the vicinity of the accommodation destination A11, the resources can be accommodated.

Basically, the dispatching company A3 preferably secures abundant staff C3 to accept any offer information D7, but depending on the location, schedule, etc. of the store A11, it is preferable. In some cases, staff C3 cannot be accommodated (dispatched). As a result, if the offer information D7 is not accepted by the dispatching company A3 (S15: No (second time) in FIG. 3), the store support method shifts to error processing (S19 in FIG. 3). With this, a series of processes related to the pre-process in the store support method is completed. In the error processing, it is preferable that the store support system 1 notifies the store A11, which is the transmission source of the request information D2, that the resources cannot be accommodated.

However, in the exchange of offer information D7 and response information D8 between the chain headquarters A2 and the dispatching company A3 shown in FIG. 2, the offer information D4 was not accepted at the store A1 as a candidate for the accommodation source A12. This is the measure in the case (S15: No (first time) in FIG. 3). Therefore, when the offer information D4 is accepted at the store A1 as a candidate for the accommodation source A12 (S15: Yes in FIG. 3), the offer information D7 and the response information D8 between the chain headquarters A2 and the dispatching company A3. Is not exchanged.

Further, in the verification process, when it is determined that it is not appropriate to accommodate resources, that is, it is unreasonable (S8: No in FIG. 3), the store support system 1 shifts to error processing (S19 in FIG. 3). As a result, the store A11 acts as a deterrent to deter unfavorable situations such as relying on the accommodation of resources from other stores A12. Further, when the chain headquarters A2 does not acquire the request information D2 from any store A1, that is, when there is no request (S5: No in FIG. 3), all the processes after the comparison process S6 are skipped and the store A series of processes related to the pre-process in the support method is completed.

By the way, the accommodation information D9 generated by the accommodation processing (S16 in FIG. 3) is at least information based on the demand forecast information D1 regarding the demand forecast of the accommodation destination A11. In other words, the accommodation information D9 reflects the demand forecast information D1 which is the result of the demand forecast processing for the store A1 which is the accommodation destination A11. In the store support method according to the present embodiment, the demand forecast information D1 is reflected in the flexibility information D9 by two approaches.

In the first approach, the demand forecast information D1 is reflected in the flexibility information D9 by generating the accommodation information D9 based on the response information D6 as a response to the request information D2 that relies on the demand forecast information D1. There is. That is, in the present embodiment, the request information D2 is information obtained from the demand forecast information D1 and the existing resources. In the accommodation process, the accommodation information D9 is generated by using the response information D6 as a response to the request information D2, so that the accommodation information D9 based on the demand forecast information D1 is generated. In short, the response information D6 used to generate the flexibility information D9 is a response to the request information D2 that originally relies on the demand forecast information D1, in other words, is information that reflects the demand forecast information D1. Then, as long as the accommodation information D9 is generated using such response information D6, the accommodation information D9 is also information that reflects the demand forecast information D1.

In the second approach, the demand forecast information D1 is generated by generating the accommodation information D9 through a verification process for verifying the validity of accommodating resources from the comparison result between the demand forecast information D1 and the request information D2. It is reflected in the flexibility information D9. That is, in the accommodation process, the accommodation information D9 is generated based on the demand forecast information D1 by generating the accommodation information D9 based on the validation result using the demand forecast information D1. In short, the validation result of the validity used for the generation of the flexibility information D9 is the information that depends on the demand forecast information D1 in the first place, in other words, the information that reflects the demand forecast information D1. Then, as long as the accommodation information D9 is generated using the verification result of such validity, the accommodation information D9 is also information that reflects the demand forecast information D1.

Further, the flowchart shown in FIG. 3 is merely an example, and the order of processing may be changed as appropriate, and processing may be added or deleted as appropriate.

(2.3.3) Same-day process Next, among the store support methods according to the present embodiment, refer to FIG. 4 for the “same-day process” related to the specific day (December 20) in which resources are interchanged. explain.

Here, it is assumed that the resource (clerk C2) is transferred from the store A12 to the store A11 on "December 20, 2019" as a specific date. Therefore, the process on the day is performed on "December 20, 2019", which is a specific day as the time. However, for some processing of the same-day process, for example, before or after the specific day, after the "pre-process", and before the "post-process", such as the day before or the next day of the specific day. It may be done.

When "December 20, 2019" is set as the specific date, as shown in FIG. 4, the owner B2 of the store A1 which is the accommodation source A12 notifies the clerk C2 of the work designation information D11. Specifically, the work designation information D11 is transmitted from the information terminal 32 used by the owner B2 of the store A12 to the information terminal 34 used by the clerk C2. At this time, the work designation information D11 may be notified only to the clerk C22 and C23 to be accommodated among the clerk C2 of the store A12. By notifying the work designation information D11, the clerk C22 and C23 can grasp the content of the work to be executed at the accommodation destination A11. The notification of the work designation information D11 may be executed on the day before the specific day or the like.

Further, on "December 20, 2019" as a specific date, the accommodation D12 of the clerk C22 and C23 as resources is executed. That is, the clerk C22 and C23 to be accommodated can accommodate the resources (clerks C22 and C23) from the accommodation source A12 to the accommodation destination A11 by going to the store A1 which is the accommodation destination A11. Then, the clerk C22 and C23 work together with the clerk C11 and C12 of the store A11 at the store A11. However, the work performed by the clerk C22 and C23 is basically the work notified in advance by the work designation information D11.

Then, when all the work of the clerk C22 and C23 at the store A11 is completed, the owner B1 of the store A11 transmits the report D13 to the chain headquarters A2. This report D13 contains at least evaluation information. The evaluation information is information related to the evaluation of the accommodation of resources, and here, in particular, is information relating to the usage status of the clerk C22 and C23 as resources at the accommodation destination A11. As an example, the evaluation information includes information such as working hours including the commuting time and leaving time of the flexible clerk C22 and C23. The report D13 is transmitted from the information terminal 31 used by the owner B1 of the store A11 to the store support system 1.

On the other hand, the clerk C22 and C23 as the target of accommodation send the report D14 to the owner B2 of the store A12 when all the work in the store A11 is completed. This report D14 includes evaluation information relating to at least the usage status of the clerk C22 and C23 as resources at the accommodation destination A11. The evaluation information of the report D14 transmitted by the clerk C22 and C23 includes information on the work actually performed by the clerk C22 and C23 at the store A11 in addition to the information on the working hours. The information regarding the actually performed work content is, for example, information such as whether or not the work content is the same as the work designation information D11. As an example, when the work designation information D11 indicates only the cashier correspondence as the work content, in the case where the cleaning work is imposed at the store A11, the actual work content is not the same as the work designation information D11. This is answered by a questionnaire method as evaluation information. The report D14 is transmitted from the information terminal 34 used by the clerk C22 and C23 to the information terminal 32 used by the owner B2 of the store A12.

Further, when the owner B2 of the store A1 which is the accommodation source A12 receives the report D14 from the clerk C22 and C23, the owner B2 sends the report D15 to the chain headquarters A2. This report D15 includes at least the contents of the report D14 from the clerk C22 and C23. Further, in addition to the reports D14 from the clerk C22 and C23, the report D15 may include, for example, the opinion of the owner B2 as appropriate. The report D15 is transmitted from the information terminal 32 used by the owner B2 of the store A12 to the store support system 1.

As a result, the store support system 1 installed in the chain headquarters A2 has at least the accommodation destination A11, the accommodation source A12, and the personnel (clerk C2) who are accommodated in the accommodation destination A11 as resources in the evaluation unit 22. The evaluation process that accepts the evaluation information is executed from either of them. That is, the chain headquarters A2 receives the report D13 from the accommodation destination A11 and the report D15 from the accommodation source A12, and thus receives the evaluation information included in the reports D13 and D15.

At this stage, the chain headquarters A2 evaluates the accommodation of resources based on the received evaluation information. Specifically, the store support system 1 executes an evaluation on resource accommodation based on the evaluation information in the evaluation unit 22. Since the evaluation information used at this time is information related to the usage status of the clerk C22 and C23 as resources at the accommodation destination A11, the evaluation is mainly performed on the accommodation destination A11 using the resources.

For example, the evaluation unit 22 determines whether or not there is a discrepancy (difference) between the report D13 from the accommodation destination A11 and the report D15 from the accommodation source A12 regarding the information on working hours. As an example, when the working hours included in the report D13 from the accommodation destination A11 are extremely shorter than the working hours included in the report D15 from the accommodation source A12, the evaluation unit 22 evaluates the evaluation points of the accommodation destination A11. Take measures such as lowering. Further, considering the possibility that the report D15 from the accommodation source A12 is incorrect, for example, when there is a deviation (difference) between the report D13 and the report D15, various sensors (cameras) installed in the store A1 are installed. It may be collated with the detection result of (including). As an example, measures such as lowering the evaluation score of the accommodation destination A11 may be taken only when the reliability of the report D13 is low in light of the working hours detected by a sensor such as a security camera. In addition, the evaluation unit 22 is flexible when there is a possibility that the work of the work content deviating from the work designation information D11 is imposed on the clerk C22 and C23 as the object of accommodation by the report D15 from the accommodation source A12. Take measures such as lowering the evaluation score of A11. As a result, the accommodation destination A11 acts as a deterrent to deter an unfavorable situation such that, for example, the clerk C22 and C23 to be accommodated are treated unfairly.

The evaluation by the evaluation unit 22 may be executed on the day after the specific day or the like.

(2.3.4) Post-process Next, among the store support methods according to the present embodiment, the “post-process” after the accommodation of resources will be described with reference to FIG.

Here, it is assumed that the resource (clerk C2) is transferred from the store A12 to the store A11 on "December 20, 2019" as a specific date. Therefore, the post-process is performed at an arbitrary time after "December 20, 2019", which is a specific date. Here, as an example, the post-process will be performed on "December 27, 2019", which is one week after the specific date.

On "December 27, 2019", as shown in FIG. 5, the owner B1 of the store A11 transmits the evaluation D21 to the chain headquarters A2. At this time, the owner B1 together with the evaluation D21 transmits (remittances) the consideration for the accommodation of resources to the chain headquarters A2 as a “request fee”. The request fee includes a salary such as an hourly wage and a general allowance such as transportation expenses as a consideration for the work of the clerk C22 and C23, as well as a flexibility allowance related to accommodation.

The evaluation D21 contains at least evaluation information. The evaluation information is information related to the evaluation of the flexibility of resources, and here, in particular, is information related to the business attitudes of the clerk C22 and C23 as resources. As an example, the evaluation information includes information that expresses the work attitudes of the flexible clerk C22 and C23 in terms of scores for each work content, and the better the work attitude, the higher the score. The evaluation D21 is transmitted from the information terminal 31 used by the owner B1 of the store A11 to the store support system 1.

As a result, the store support system 1 installed in the chain headquarters A2 executes an evaluation process in which the evaluation unit 22 receives evaluation information from at least the accommodation destination A11. That is, the chain headquarters A2 receives the evaluation D21 from the accommodation destination A11, and thus receives the evaluation information included in the evaluation D21.

At this stage, the chain headquarters A2 evaluates the accommodation of resources based on the received evaluation information. Specifically, the store support system 1 executes an evaluation on resource accommodation based on the evaluation information in the evaluation unit 22. Since the evaluation information used at this time is information related to the business attitude of the clerk C22 and C23 as resources, the evaluation is mainly performed on the clerk C22 and C23 as resources. For example, the evaluation unit 22 takes measures such as raising the evaluation points of the clerk C22 and C23 when the acquired score is high in the evaluation information included in the evaluation D21. Further, the evaluation points of the clerk C22 and C23 may be the evaluation points of the accommodation source A12.

Information about the evaluation points of the clerk C22, C23 (or the accommodation source A12) evaluated in this way is stored in, for example, the data storage unit 25. It is preferable that the evaluation points of the clerk C22, C23 (or the accommodation source A12) stored in the data storage unit 25 can be viewed at all the stores A1 under the control of the chain headquarters A2, for example. Further, the evaluation points of the clerk C22, C23 (or the accommodation source A12) stored in the data storage unit 25 may be determined by the search process for searching the accommodation source A12. In this case, the store A1 to which the clerk C22 and C23 having high evaluation points belong is easily searched for as a candidate for the accommodation source A12. Further, the clerk C22, C23 or the store A1 having a high evaluation score may be given an award or a reward system.

As a result, in the store clerk C1, C2 or the store A1, by obtaining a high evaluation point, it becomes easier to be nominated as a flexible source A12, and the motivation to obtain a high evaluation point is improved by receiving an allowance. Connect. As a result, the store A1 which is the accommodation source A12 acts as a deterrent to deter an unfavorable situation such as accommodating insufficient resources such as a clerk C2 who is unfamiliar with the business because of the desire for accommodation allowance.

Then, the store support system 1 installed in the chain headquarters A2 transmits (remittances) the reward D22 to the store A12. The remuneration D22 includes a salary such as an hourly wage and a general allowance such as transportation expenses as a consideration for the work of the clerk C22 and C23, as well as a flexibility allowance related to accommodation. At this time, the evaluation result regarding the accommodation of resources is transmitted from the chain headquarters A2 to the store A12 together with the reward D22. This evaluation result is the result of the evaluation of the clerk C22 and C23 as resources performed by the evaluation unit 22 in the post-process. For example, the evaluation points of the clerk C22 and C23 (or the accommodation source A12) are set. Includes.

After that, the owner B2 of the store A12 transmits (remittances) the reward D23 to the clerk C22 and C23 as the target of accommodation. The remuneration D23 includes salaries such as hourly wages and general allowances such as transportation expenses as compensation for the work of the clerk C22 and C23. Here, the reward D23 may include a part of the accommodation allowance.

Further, the store support system 1 installed in the chain headquarters A2 transmits feedback D24 to the store A11. Feedback D24 contains the evaluation result of resource accommodation. This evaluation result is the result of the evaluation of the accommodation destination A11 using resources performed by the evaluation unit 22 in the process on the day, and includes, for example, the evaluation points of the accommodation destination A11.

(2.3.5) Summary Next, refer to FIGS. 6 and 7 for the overall flow of the store support method when the process is performed through the “pre-process”, “same-day process”, and “post-process”. I will explain. Since the details of each process are as described above, only a rough description of the overall flow will be given here. In FIG. 6, it is assumed that the offer information D4 is accepted at the store A1 as a candidate for the accommodation source A12 (S15: Yes in FIG. 3), and in FIG. 7, the store A1 as a candidate for the accommodation source A12 is assumed. It is assumed that the offer information D4 is rejected (S15: No in FIG. 3).

In the example of FIG. 6, first, in the pre-process, the chain headquarters A2 transmits the demand forecast information D1 to the store A11 (P1), and the demand forecast information D1 is transmitted to the store A12 (P2). When the request information D2 is transmitted from the store A11 to the chain headquarters A2 (P3), the chain headquarters A2 transmits the offer information D4 to the store A12 (P4). Then, in the store A12, the content of the offer information D4 is transmitted from the store A12 (owner B2) to the clerk C2 as the shift adjustment D5 (P5), and the response information to this is transmitted from the clerk C2 to the store A12 (owner B2). Is transmitted to (P6). Then, the response information D6 of "acceptance" is transmitted from the store A12 to the chain headquarters A2 (P7), and the chain headquarters A2 that receives this transmits the flexibility information D9 to the store A11 (P8).

Next, in the process on the day, the chain headquarters A2 transmits the work designation information D11 to the clerk C2 who is the target of accommodation (P9). At this time, strictly speaking, the work designation information D11 is notified from the owner B2 of the store A12 to the clerk C2. However, for the owner B2, the work designation information D11 is transmitted from the chain headquarters A2 together with the offer information D4 in the preliminary process. In other words, the work designation information D11 is transmitted from the chain headquarters A2 to the store. It is transmitted to the clerk C2 via A12. Therefore, in FIG. 6, it is shown that the work designation information D11 is transmitted from the chain headquarters A2 to the clerk C2 (P9). Then, the clerk C2 is accommodated in the store A11 (P10), and then the report D13 is transmitted from the store A11 to the chain headquarters A2 (P11). Further, reports D14 and D15 are transmitted from the clerk C2 to the chain headquarters A2 (P12).

Next, in the post-process, the feedback D24 is transmitted from the chain headquarters A2 to the store A11 (P13). Further, the reward D22 is transmitted (remittance) from the chain headquarters A2 to the store A12 (P14), and the reward D23 is transmitted (remittance) from the store A12 to the clerk C2 (P15).

In the example of FIG. 7, first, in the pre-process, the chain headquarters A2 transmits the demand forecast information D1 to the store A11 (P21), and the demand forecast information D1 is transmitted to the store A12 (P22). When the request information D2 is transmitted from the store A11 to the chain headquarters A2 (P23), the chain headquarters A2 transmits the offer information D4 to the store A12 (P24). Then, in the store A12, the content of the offer information D4 is transmitted from the store A12 (owner B2) to the clerk C2 as the shift adjustment D5 (P25), and the response information to this is transmitted from the clerk C2 to the store A12 (owner B2). Is transmitted to (P26). Then, the store A12 sends the response information D6 of "rejection" to the chain headquarters A2 (P27), and the chain headquarters A2 receives this and sends the offer information D7 to the dispatching company A3 (P28). ). Then, the dispatching company A3 sends the response information D8 of "acceptance" to the chain headquarters A2 (P29), and the chain headquarters A2 that receives this sends the flexibility information D9 to the store A11 (P30). ).

Next, in the process on the day, the chain headquarters A2 transmits the work designation information D11 to the dispatching company A3 (P31). At this time, strictly speaking, the work designation information D11 is notified to the staff C3 of the dispatching company A3. Then, the staff C3 of the dispatching company A3 is accommodated in the store A11 (P32), and then the report D13 is transmitted from the store A11 to the chain headquarters A2 (P33). Further, a report is transmitted from the staff C3 of the dispatching company A3 to the chain headquarters A2 (P34).

Next, in the post-process, the feedback D24 is transmitted from the chain headquarters A2 to the store A11 (P35). In addition, a reward is transmitted (remittance) from the chain headquarters A2 to the dispatching company A3 (P36).

(3) Modified Example The first embodiment is only one of the various embodiments of the present disclosure. The first embodiment can be changed in various ways depending on the design and the like as long as the object of the present disclosure can be achieved. Further, the drawings referred to in the present disclosure are all schematic views, and the ratio of the size and the thickness of each component in the drawing does not necessarily reflect the actual dimensional ratio. .. Further, the same function as the store support method according to the first embodiment may be embodied in the store support system 1, the (computer) program, the non-temporary recording medium on which the program is recorded, or the like. The program according to one aspect is a program for causing one or more processors to execute the store support method according to the first embodiment.

Hereinafter, modifications of the first embodiment will be listed. The modifications described below can be applied in combination as appropriate.

The store support system 1 in the present disclosure includes a computer system. A computer system mainly consists of a processor and a memory as hardware. When the processor executes the program recorded in the memory of the computer system, the function as the store support system 1 in the present disclosure is realized. The program may be pre-recorded in the memory of the computer system, may be provided through a telecommunications line, and may be recorded on a non-temporary recording medium such as a memory card, optical disk, hard disk drive, etc. that can be read by the computer system. May be provided. A processor in a computer system is composed of one or more electronic circuits including a semiconductor integrated circuit (IC) or a large scale integrated circuit (LSI). The integrated circuit such as IC or LSI referred to here has a different name depending on the degree of integration, and includes an integrated circuit called a system LSI, VLSI (Very Large Scale Integration), or ULSI (Ultra Large Scale Integration). Further, an FPGA (Field-Programmable Gate Array) programmed after the LSI is manufactured, or a logical device capable of reconfiguring the junction relationship inside the LSI or reconfiguring the circuit partition inside the LSI should also be adopted as a processor. Can be done. A plurality of electronic circuits may be integrated on one chip, or may be distributed on a plurality of chips. The plurality of chips may be integrated in one device, or may be distributed in a plurality of devices. The computer system referred to here includes a microprocessor having one or more processors and one or more memories. Therefore, the microprocessor is also composed of one or a plurality of electronic circuits including a semiconductor integrated circuit or a large-scale integrated circuit.

Further, it is not an essential configuration for the store support system 1 that a plurality of functions in the store support system 1 are integrated in one housing. The components of the store support system 1 may be distributed in a plurality of housings. Further, at least a part of the functions of the store support system 1 may be realized by the cloud (cloud computing) or the like, and the functions of the store support system 1 may be realized by being distributed to the cloud (or server) and the edge. You may.

As an example, when the functions of the store support system 1 are distributed to the store computers of each store A1, the resource accommodation is directly adjusted between a plurality of stores A1 without going through the chain headquarters A2. Is possible.

On the contrary, in the first embodiment, at least a part of the functions of the store support system 1 distributed in a plurality of devices may be integrated in one housing. For example, some functions of the store support system 1 distributed between the server device installed in the chain headquarters A2 and the information terminals 31 to 34 may be integrated in one housing.

Further, the use of the store support system 1 is not limited to the convenience store, and the store support system 1 may be introduced in the store A1 other than the convenience store.

Further, in the first embodiment, the demand forecast information D1 is reflected in the accommodation information D9 in two approaches, but the demand forecast information D1 is the accommodation information in only one approach, not limited to this example. It may be reflected in D9. For example, the demand forecast information D1 may be reflected in the accommodation information D9 only by generating the accommodation information D9 based on the response information D6 as a response to the request information D2 based on the demand forecast information D1. Alternatively, the demand forecast information D1 can be converted into the accommodation information D9 only by generating the accommodation information D9 through a verification process for verifying the validity of accommodating resources from the comparison result between the demand forecast information D1 and the request information D2. It may be reflected.

Further, the sales form of the product at the store A1 is not limited to the form in which a plurality of products are displayed in the store as in the first embodiment. For example, if the store A1 is in a business format that provides services, such as a repair shop or an insurance agency, the product is not sold. Further, even if a plurality of products are sold in a state of being displayed in the store, for example, by using a self-checkout or the like, the customer makes a payment without going through a clerk. You may.

In addition, the training data used to generate the trained model for demand forecast may include actual data for one or more stores A1. Here, the one or more stores A1 from which the training data is extracted may include the accommodation destination A11 or the accommodation source A12, or may not include the accommodation destination A11 or the accommodation source A12. That is, in the former case, the trained model is generated using the training data extracted from one or more stores A1 including the accommodation destination A11 or the accommodation source A12.

Further, it is not essential for the demand forecasting unit 11 to input the operation information in the demand forecasting process for forecasting the demand of the store A1 using the learned model. As an example, the demand forecasting unit 11 may execute the demand forecasting by simply inputting the date and time information (including calendar information). In this case, for example, from the past results (trends), the sales are relatively on Friday. It is high, and it is possible to make a simple demand forecast such as sales are relatively low on Saturday and Sunday.

In addition, it is not essential to use a machine-learned trained model in the demand forecast processing. For example, in the demand forecast processing, the demand of the store A1 may be predicted simply based on statistical processing or the like based on the past performance (history) of the store A1.

In addition, a person may perform a part of the processing performed by the store support system 1 in the first embodiment. As an example, verification (verification processing) of the validity of accommodating resources may be performed by a person instead of the verification unit 14. Similarly, the evaluation of resource accommodation may be performed by a person instead of the evaluation unit 22.

In addition, the request fee or reward including the accommodation allowance is not limited to money (including credits and virtual currency) as an example, but for example, benefits including services such as points (points), goods, and maintenance of store A1. It may be realized by.

Further, in the evaluation process, the evaluation information used for the evaluation by the evaluation unit 22 is accepted from at least one of the accommodation destination A11, the accommodation source A12, and the personnel (clerk C2) who are accommodated to the accommodation destination A11 as a resource. The evaluation information does not have to be a declaration system. That is, the detection results of various sensors (including cameras) installed in the store A1 are not limited to the evaluation information of the declaration system declared by a person, such as the evaluation information included in the reports D13, D14, D15, etc. It may be used as evaluation information. In this case, as an example, the store support system 1 detects the execution of the work (task) by the clerk C2 as the object of accommodation with the sensor, and based on the detection result, shows the execution status of the work by the clerk C2. Extract logs automatically.

Further, in the first embodiment, the chain headquarters A2 shows an example in which the offer information D4 for the store A1 as a candidate for the accommodation source A12 is issued before the offer information D7 for the dispatching company A3, but this configuration is indispensable. is not it. That is, the chain headquarters A2 may issue the offer information D7 to the dispatching company A3 before the offer information D4 to the store A1 as a candidate for the accommodation source A12.

Further, for example, the chain headquarters A2 may secure a part-time staff for accommodation. In this case, for example, instead of the store A1 or the dispatching company A3 as a candidate for the accommodation source A12, the chain headquarters A2 can accommodate the part-time staff as a resource to the accommodation destination A11. In this case, either the part-time staff of the chain headquarters A2, the clerk C2 of the store A1 as a candidate for the accommodation source A12, or the staff C3 of the dispatching company A3 is preferentially accommodated as a resource to the accommodation destination A11. May be good. For the part-time staff of the chain headquarters A2, for example, it is preferable to adopt an education system that receives education related to work at the store A1 such as product delivery or cash register support on a regular basis (for example, every six months). With such an education system, part-time staff have the advantage of being able to acquire and maintain work skills.

Further, in the first embodiment, when the resource is interchanged, the accommodation destination A11 (owner B1) first determines whether or not the resource is sufficient based on the demand forecast information D1, and when the resource is insufficient, the accommodation destination A11 (owner B1) determines whether or not the resource is sufficient. The request information D2 is transmitted to the chain headquarters A2, but the configuration is not limited to this. For example, first, in the chain headquarters A2 (store support system 1), the store A11 that may be short of resources is estimated based on the demand forecast information D1, and the resources are interchanged with the store A11 that is estimated to be short. May be suggested. In this case, the store A11 (owner B1) determines whether or not resource accommodation is necessary according to the suggestion from the chain headquarters A2, and if so, transmits the request information D2 to the chain headquarters A2. .. Even in this case, whether or not the resource is to be accommodated is finally determined by the accommodation destination A11, and the chain headquarters A2 (store support system 1) performs a request acquisition process for acquiring the request information D2 from the accommodation destination A11. It will be.

Further, in the first embodiment, the accommodation destination A11 (owner B1) relates to the accommodation of personnel as a resource through the store A12 (owner B2) which is the accommodation source or the material dispatching company A3 (operator B3). Coordination (negotiation) is performed, but the configuration is not limited to this. For example, the accommodation destination A11 (owner B1) directly coordinates (negotiates) with the resource personnel (clerk C2 or staff C3) without going through the accommodation source store A12 or the material dispatching company A3. ) May be performed. As a result, for example, in the case of personnel (clerk C2 or staff C3) who are resources, if the schedule is vacant, they can go to the accommodation destination A11 without going through the store A12 which is the accommodation source or the material dispatching company A3. You can accept the flexibility. Further, even in this case, if the functions of the store support system 1 are provided in a distributed manner, the accommodation destination A11 (owner B1) can be a resource (clerk C2 or staff) without going through the chain headquarters A2. Coordination (negotiation) regarding flexibility is possible directly with C3).

(Embodiment 2)
As shown in FIG. 8, the store support method according to the present embodiment is different from the store support method according to the first embodiment in that the resource to be accommodated is the equipment E2. Hereinafter, the same configurations as those in the first embodiment will be designated by a common reference numeral and description thereof will be omitted as appropriate.

That is, as described above, the resource to be accommodated is a resource necessary for the business of the store A1, and may include, for example, personnel and goods. In the present embodiment, as an example, the "resource" to be accommodated is the "equipment" necessary for the business of the store A1 (convenience store). That is, the resource includes the equipment E2 used for the business of the accommodation destination A11. More specifically, when the accommodation source A12 is the store A1 (separate from the accommodation destination A11), the equipment E2 installed in the accommodation source A12 is the “resource” to be accommodated. In FIG. 8, a register is illustrated as the equipment E2 as a resource.

In FIG. 8, since the equipment E1 (cash register) is insufficient at a certain store A1 on a specific day, the store A1 is used as the accommodation destination A11, and the equipment E2 (cash register) as a resource is accommodated from the accommodation source A12 on the specific day. It is assumed that the destination A11 is accommodated. That is, in the store A11, if the number of existing facilities E1 (2 units) is compared with the result of the demand forecast on a specific day, the number of facilities E1 is insufficient. On the other hand, in the store A12, when the number of existing equipment E2 (3 units) is compared with the result of the demand forecast on a specific day, there is a surplus in the number of equipment E2. In such a situation, the owner B1 of the store A11 transmits the request information D2 to the chain headquarters A2.

The rough procedure from the transmission of the demand forecast information D1 to the transmission of the accommodation information D9 is the same as when the resource is a personnel (clerk C2). However, shift adjustments D3 and D5 are not performed as in the case where the resources are personnel (clerks C1 and C2). Then, on a specific day, the equipment E2 as a resource is accommodated from the accommodation source A12 to the accommodation destination A11. For resources such as equipment E2, it is necessary to actually move the resource (equipment E2) from the accommodation source A12 to the accommodation destination A11. Here, the transportation of the resource (equipment E2) may be performed by using, for example, a transportation means (truck or the like) for delivering the product.

As a modification of the second embodiment, the resource may include a resource supplied through a lifeline such as electric power, gas, or tap water. Regarding resources such as electric power, gas or tap water, it is only necessary to actually record the accommodation of electric power, gas or tap water, and it is not necessary to actually move the resources from the accommodation source A12 to the accommodation destination A11. Further, the resource is not limited to a tangible property, and may be a non-objective such as a right (ticket sales right, etc.) or electric power.

The various configurations (including the modified examples) described in the second embodiment can be appropriately combined with the various configurations (including the modified examples) described in the first embodiment.

(summary)
As described above, the store support method according to the first aspect includes a request acquisition process and a flexibility process. The request acquisition process is a process of acquiring request information (D2) regarding resources lacking in the accommodation destination (A11) from the accommodation destination (A11), which is a store (A1) that operates using resources. The accommodation process is a process of generating accommodation information (D9) for accommodating resources from the accommodation source (A12) to the accommodation destination (A11) according to the request information (D2). The accommodation information (D9) is information based on at least the demand forecast information (D1) relating to the demand forecast of the accommodation destination (A11).

According to this aspect, when the resources used for the business of the store (A1), which is the accommodation destination (A11), are insufficient, the accommodation information (D9) is obtained according to the request information (D2) from the accommodation destination (A11). ) Can be generated. Since the accommodation information (D9) is information for accommodating resources from the accommodation source (A12) to the accommodation destination (A11), thereby, according to the accommodation information (D9), the accommodation source (A12) to the accommodation destination (A11) ) Can be used for resources. Moreover, since the accommodation information (D9) is at least information based on the demand forecast information (D1), the accommodation information (D9) reflects the information regarding the demand forecast of the accommodation destination (A11). Therefore, it is easy to realize appropriate resource accommodation that reflects the demand forecast of the store (A1), which is the accommodation destination (A11). There is an advantage that the business of the company is less likely to be hindered.

The store support method according to the second aspect further includes a reception process in the first aspect. The reception process is a process of receiving response information (D6, D8) indicating the status of interchangeable resources from the accommodation source (A12) as a response to the request information (D2). In the accommodation process, the accommodation information (D9) is generated using the response information (D6, D8).

According to this aspect, since the response information (D6, D8) indicating the status of the flexible resource is received from the accommodation source (A12), the accommodation can be performed in consideration of the status of the flexible resource in the accommodation source (A12). It becomes.

In the store support method according to the third aspect, in the second aspect, the request information (D2) is information obtained from the demand forecast information (D1) and the existing resources. In the accommodation process, the accommodation information (D9) is generated by using the response information (D6, D8) as a response to the request information (D2), so that the accommodation information (D9) based on the demand forecast information (D1) is generated. do.

According to this aspect, the demand forecast information is generated by generating the flexibility information (D9) based on the response information (D6, D8) as a response to the request information (D2) based on the demand forecast information (D1). (D1) can be reflected in the flexibility information (D9).

The store support method according to the fourth aspect further includes a notification process in any one of the first to third aspects. The notification process is a process of notifying the accommodation destination (A11) of the accommodation information (D9).

According to this aspect, the accommodation destination (A11) can expect the accommodation of resources based on the notified accommodation information (D9).

The store support method according to the fifth aspect further includes an evaluation process in any one of the first to fourth aspects. The evaluation process is a process of receiving evaluation information regarding the evaluation of resource accommodation from at least one of the accommodation destination (A11), the accommodation source (A12), and the personnel who are accommodated as resources to the accommodation destination (A11). ..

According to this aspect, it is possible to evaluate the flexibility of resources, which leads to improvement of motivation at at least one of the accommodation destination (A11) and the accommodation source (A12).

The store support method according to the sixth aspect further includes an effect estimation process in any one of the first to fifth aspects. The effect estimation process is a process of estimating the effect that can be exerted on at least one of the accommodation destination (A11) and the accommodation source (A12) when the resource is interchanged to the accommodation destination (A11).

According to this aspect, it becomes easy to judge the effect of receiving the accommodation of resources at at least one of the accommodation destination (A11) and the accommodation source (A12).

The store support method according to the seventh aspect further includes a search process in any one of the first to sixth aspects. The search process is a process of searching for the accommodation source (A12) based on the location information regarding the location of the resource to be accommodated in the accommodation destination (A11).

According to this aspect, it is possible to narrow down the candidates of the accommodation source (A12) based on the location of the resource.

The store support method according to the eighth aspect further includes a work designation process in any one of the first to seventh aspects. The work designation process is a process of receiving work designation information (D11) that specifies at least one of the work content and the work skill required of the personnel to be accommodated in the accommodation destination (A11) as a resource.

According to this aspect, at least one of the work content and the work skill required of the personnel to be accommodated as resources can be specified, and the accommodation destination (A11) is likely to receive the accommodation of desired resources.

The store support method according to the ninth aspect further includes a comparison process in any one of the first to eighth aspects. The comparison process is a process of outputting the demand forecast information (D1) in a manner that can be compared with the request information (D2).

According to this aspect, it becomes easy to estimate the validity of resource accommodation from the comparison result of the demand forecast information (D1) and the requirement information (D2).

The store support method according to the tenth aspect further includes a verification process in the ninth aspect. The verification process is a process of verifying the validity of accommodating resources from the comparison result of the demand forecast information (D1) and the request information (D2). In the accommodation process, the accommodation information (D9) is generated based on the demand forecast information (D1) by generating the accommodation information (D9) based on the validation result using the demand forecast information (D1).

According to this aspect, the accommodation information (D9) is generated by performing the verification process for verifying the validity of the resource accommodation from the comparison result between the demand forecast information (D1) and the demand information (D2). The demand forecast information (D1) can be reflected in the flexibility information (D9).

The store support method according to the eleventh aspect further includes a cause estimation process in any one of the first to tenth aspects. The cause estimation process is a process of estimating the cause of the resource shortage at the accommodation destination (A11).

According to this aspect, at the accommodation destination (A11), it becomes easy to determine the cause of receiving the accommodation of resources.

In the store support method according to the twelfth aspect, in any one of the first to eleventh aspects, the resource includes the equipment used for the business of the accommodation destination (A11).

According to this aspect, by accommodating the equipment used for the business of the store (A1), it is not necessary to introduce the equipment more than necessary.

In the store support method according to the thirteenth aspect, in any one of the first to twelfth aspects, the accommodation source (A12) includes a store (A1) different from the accommodation destination (A11).

According to this aspect, resources can be exchanged between stores (A1).

The program according to the fourteenth aspect is a program for causing one or more processors to execute the store support method according to any one of the first to thirteenth aspects.

According to this aspect, it is easy to realize appropriate resource accommodation that reflects the demand forecast of the store (A1), which is the accommodation destination (A11), and as a result, due to the lack of resources required for the operation of the store (A1). There is an advantage that the business of the store (A1) is unlikely to be hindered.

The store support system (1) according to the fifteenth aspect includes a request acquisition unit (12) and a flexibility unit (20). The request acquisition unit (12) acquires request information (D2) regarding resources lacking in the accommodation destination (A11) from the accommodation destination (A11), which is a store (A1) that operates using resources. The accommodation unit (20) generates accommodation information (D9) for accommodating resources from the accommodation source (A12) to the accommodation destination (A11) according to the request information (D2). The accommodation information (D9) is information based on at least the demand forecast information (D1) relating to the demand forecast of the accommodation destination (A11).

According to this aspect, it is easy to realize appropriate resource accommodation that reflects the demand forecast of the store (A1), which is the accommodation destination (A11), and as a result, due to the lack of resources required for the operation of the store (A1). There is an advantage that the business of the store (A1) is unlikely to be hindered.

Not limited to the above aspects, various aspects (including modified examples) of the store support method according to the first and second embodiments are the store support system (1), the program, and the non-temporary recording medium on which the program is recorded. It can be embodied.

The configuration according to the second to thirteenth aspects is not an essential configuration for the store support method, and can be omitted as appropriate.

1 Store support system 12 Request acquisition department 20 Flexibility department A1 Store A11 Flexibility destination A12 Flexibility source D1 Demand forecast information D2 Request information D6, D8 Response information D9 Flexibility information D11 Work designation information

The store support method according to one aspect of the present disclosure includes a request acquisition process, a judgment process, a flexibility process, a reception process, and a settlement process . The request acquisition process is a process of acquiring request information regarding the resource that is insufficient at the interchange destination from an accommodation destination that is a store that operates using resources. The determination process is a process of determining the resource shortage at the accommodation destination from at least the result of comparison between the demand forecast information regarding the demand forecast of the accommodation destination and the existing resource. The accommodation process is a process of generating accommodation information for accommodating the resource from the accommodation source to the accommodation destination in response to the request information. The reception process is a process of receiving response information indicating the status of the interchangeable resource from the accommodation source as a response to the request information. The settlement process is a process of giving the accommodating source a reward including at least an accommodating allowance for accommodating the resource to the accommodating destination. In the accommodation process, the accommodation information is generated using the response information as a response to the request information based on the result of the determination processing using the demand forecast information. The store support method is executed by one or more processors.
The store support method according to one aspect of the present disclosure includes a request acquisition process and a flexibility process. The request acquisition process is a process of acquiring request information regarding the resource that is insufficient at the interchange destination from an accommodation destination that is a store that operates using resources. The accommodation process is a process of generating accommodation information for accommodating the resource from the accommodation source to the accommodation destination in response to the request information. The accommodation information is information based on at least the demand forecast information regarding the demand forecast of the accommodation destination. The store support method further includes a comparison process and a verification process. The comparison process is a process of outputting the demand forecast information in a manner that can be compared with the request information. The verification process is a process for verifying the validity of accommodating the resource from the comparison result between the demand forecast information and the required information. In the accommodation process, the accommodation information based on the demand forecast information is generated by generating the accommodation information based on the verification result of the validity using the demand forecast information. The store support method is executed by one or more processors.
The store support method according to one aspect of the present disclosure includes a request acquisition process, a judgment process, a flexibility process, a reception process, and an effect estimation process. The request acquisition process is a process of acquiring request information regarding the resource that is insufficient at the interchange destination from an accommodation destination that is a store that operates using resources. The determination process is a process of determining the resource shortage at the accommodation destination from at least the result of comparison between the demand forecast information regarding the demand forecast of the accommodation destination and the existing resource. The accommodation process is a process of generating accommodation information for accommodating the resource from the accommodation source to the accommodation destination in response to the request information. The reception process is a process of receiving response information indicating the status of the interchangeable resource from the accommodation source as a response to the request information. The effect estimation process is a process of estimating an effect that can be exerted on at least one of the accommodation destination and the accommodation source when the resource is interchanged with the accommodation destination. In the accommodation process, the accommodation information is generated using the response information as a response to the request information based on the result of the determination processing using the demand forecast information. The store support method is executed by one or more processors.

The store support system according to one aspect of the present disclosure includes a request acquisition unit, a judgment unit, a flexibility unit, a reception unit, and a settlement unit . The request acquisition unit acquires request information regarding the resource that is insufficient at the accommodation destination from the accommodation destination that is a store that operates using resources. The determination unit determines the resource that is insufficient at the accommodation destination from at least the result of comparison between the demand forecast information regarding the demand forecast of the accommodation destination and the existing resource. The accommodation unit generates accommodation information for accommodating the resource from the accommodation source to the accommodation destination in response to the request information. As a response to the request information, the reception unit receives response information indicating the status of the flexible resource from the accommodation source. The settlement unit gives the accommodation source a reward including at least an accommodation allowance for accommodating the resource to the accommodation destination. The accommodation unit generates the accommodation information using the response information as a response to the request information based on the result of the determination unit using the demand forecast information.
The store support system according to one aspect of the present disclosure includes a request acquisition unit and a flexibility unit. The request acquisition unit acquires request information regarding the resource that is insufficient at the accommodation destination from the accommodation destination that is a store that operates using resources. The accommodation unit generates accommodation information for accommodating the resource from the accommodation source to the accommodation destination in response to the request information. The accommodation information is information based on at least the demand forecast information regarding the demand forecast of the accommodation destination. The store support system further includes a contrast unit and a verification unit. The comparison unit outputs the demand forecast information in a manner that can be compared with the required information. The verification unit verifies the validity of accommodating the resources from the comparison result between the demand forecast information and the required information. The accommodation unit generates the accommodation information based on the demand forecast information by generating the accommodation information based on the verification result of the validity using the demand forecast information.
The store support system according to one aspect of the present disclosure includes a request acquisition unit, a judgment unit, a flexibility unit, a reception unit, and an effect estimation unit. The request acquisition unit acquires request information regarding the resource that is insufficient at the accommodation destination from the accommodation destination that is a store that operates using resources. The determination unit determines the resource that is insufficient at the accommodation destination from at least the result of comparison between the demand forecast information regarding the demand forecast of the accommodation destination and the existing resource. The accommodation unit generates accommodation information for accommodating the resource from the accommodation source to the accommodation destination in response to the request information. As a response to the request information, the reception unit receives response information indicating the status of the flexible resource from the accommodation source. The effect estimation unit estimates the effect that can be exerted on at least one of the accommodation destination and the accommodation source when the resource is interchanged with the accommodation destination. The accommodation unit generates the accommodation information using the response information as a response to the request information based on the result of the determination unit using the demand forecast information.

Claims (15)

Request acquisition processing to acquire request information about the resource that is insufficient at the accommodation destination from the accommodation destination that is a store that operates using resources, and
It has a flexibility process for generating accommodation information for accommodating the resource from the accommodation source to the accommodation destination in response to the request information.
The accommodation information is information based on at least the demand forecast information regarding the demand forecast of the accommodation destination.
Store support method. As a response to the request information, it further has a reception process for receiving response information indicating the status of the flexible resource from the accommodation source.
In the accommodation process, the accommodation information is generated using the response information.
The store support method according to claim 1. The required information is information obtained from the demand forecast information and the existing resources.
In the accommodation process, the accommodation information is generated by using the response information as a response to the request information, so that the accommodation information based on the demand forecast information is generated.
The store support method according to claim 2. Further having a notification process for notifying the accommodation destination of the accommodation information.
The store support method according to any one of claims 1 to 3. Further having an evaluation process for receiving evaluation information regarding the evaluation of the flexibility of the resource from at least one of the accommodation destination, the accommodation source, and the personnel who are accommodated to the accommodation destination as the resource.
The store support method according to any one of claims 1 to 4. Further, it has an effect estimation process for estimating an effect that can be exerted on at least one of the accommodation destination and the accommodation source when the resource is interchanged with the accommodation destination.
The store support method according to any one of claims 1 to 5. Further having a search process for searching for the accommodation source based on the location information regarding the location of the resource that is interchanged with the accommodation destination.
The store support method according to any one of claims 1 to 6. Further having a work designation process for receiving work designation information for designating at least one of the work content and the work skill required of the personnel to be accommodated in the accommodation destination as the resource.
The store support method according to any one of claims 1 to 7. Further, it has a comparison process for outputting the demand forecast information in a manner that can be compared with the request information.
The store support method according to any one of claims 1 to 8. Further having a verification process for verifying the validity of accommodating the resource from the comparison result of the demand forecast information and the required information.
In the accommodation process, the accommodation information based on the demand forecast information is generated by generating the accommodation information based on the verification result of the validity using the demand forecast information.
The store support method according to claim 9. Further having a cause estimation process for estimating the cause of the resource shortage at the accommodation destination.
The store support method according to any one of claims 1 to 10. The resource includes equipment used for the business of the accommodation destination.
The store support method according to any one of claims 1 to 11. The accommodation source includes a store other than the accommodation destination,
The store support method according to any one of claims 1 to 12. A program for causing one or more processors to execute the store support method according to any one of claims 1 to 13. A request acquisition department that acquires request information related to the resource that is insufficient at the accommodation destination from an accommodation destination that is a store that operates using resources.
It has an accommodation unit that generates accommodation information for accommodating the resource from the accommodation source to the accommodation destination in response to the request information.
The accommodation information is information based on at least the demand forecast information regarding the demand forecast of the accommodation destination.
Store support system.

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