KR20240072907A - Service provision devices, methods, and programs for recommending franchise stores and providing incentives based on the sales volume of franchise users - Google Patents

Abstract

A service provision device, method, and program for recommending franchise stores and providing incentives based on sales of franchise users are disclosed. The device collects user information to extract the user's preferred industry field from the user terminal, collects industry information about the franchise business from the database, and collects company information about companies operating the franchise business from the database. an information collection unit capable of collecting; Among the user information collected by the information collection unit, user information related to the user's preferred field is determined as effective user information, and recommendations are made to the user using the stored effective user information and the industry information received from the information collection unit. Industry recommendation department that determines recommended industries; and receiving the company information from the information collection unit, determining a company recommendation level using the received company information, and determining companies whose company recommendation level is higher than a preset company recommendation level as recommended companies. It includes a company recommendation unit that determines a recommended company corresponding to the recommended industry related to the user's preferred industry.

Description

Service provision devices, methods, and programs for recommending franchise stores and providing incentives based on the sales volume of franchise users}

The present invention relates to a service provision device, method, and program for recommending franchise stores and providing incentives based on sales of franchise users.

Unless otherwise indicated herein, the material described in this section is not prior art to the claims of this application, and is not admitted to be prior art by inclusion in this section.

Franchise-type stores are often more competitive than regular stores as they provide a certain level of uniform service to consumers through the franchise headquarters' standardized production management, quality control, and product diversification. Therefore, there is an increasing trend in the number of entrepreneurs who prefer franchise stores rather than regular stores where individuals spend time and money on all processes from the beginning.

However, since the initial fixed costs, operating profit ratio, and business closure rate of franchise stores are different for each company, there is a difficulty in that users can easily incur losses if they start carelessly.

Therefore, consumers need a way to find a reasonable company to become a franchise store owner.

The matters described in the above background technology are intended to aid understanding of the background of the invention and may include matters that are not disclosed prior art.

The purpose of the present invention is to provide a service providing device, method, and program that recommends a user's preferred industry and recommends a franchise store to the user regarding the recommended industry.

The problems to be solved by the present invention are not limited to the problems mentioned above, and other problems not mentioned can be clearly understood by those skilled in the art from the description below.

One aspect of the present invention for achieving the above object provides a service providing device for recommending franchise stores.

The device collects user information to extract the user's preferred industry field from the user terminal, collects industry information about the franchise business from the database, and collects company information about companies operating the franchise business from the database. an information collection unit capable of collecting; Among the user information collected by the information collection unit, user information related to the user's preferred field is determined as effective user information, and recommendations are made to the user using the stored effective user information and the industry information received from the information collection unit. Industry recommendation department that determines recommended industries; and receiving the company information from the information collection unit, determining a company recommendation level using the received company information, and determining companies whose company recommendation level is higher than a preset company recommendation level as recommended companies. It includes a company recommendation unit that determines a recommended company corresponding to the recommended industry related to the user's preferred industry, and the industry information includes the type of industry conducting the franchise business, sales by industry, operating expenses by industry, cost of sales by industry, and rent by industry. , the company information means the operating profit rate of each franchise of the company operating the franchise business for the recommended industry, the business period of the closed franchise, the closure rate, and the number of franchises in a specific region.

In addition, the industry recommendation unit may determine the industry recommendation level using the effective user information and industry information, and determine industries for which the industry recommendation degree is higher than a preset industry recommendation degree as recommended industries.

In addition, the industry recommendation level is determined according to the equation below, In the above equation, IR refers to industry recommendation, TS refers to the total sales of the industry belonging to the same category as the category of valid user information, BE refers to the operating cost of the industry, and SC refers to the cost of sales of the industry. AVR refers to the average rent of the industry, K1 refers to the rent correction coefficient, and the rent correction coefficient is 0.5 when the rent per pyeong is between 00,000 won and less than 50,000 won, 0.4 when the rent per pyeong is between 50,000 won and less than 100,000 won, It can mean 0.3 when it is between 100,000 won and less than 150,000 won, 0.2 when it is between 150,000 won and less than 200,000 won, and 0.1 when it is over 200,000 won.

In addition, the company recommendation unit determines the company recommendation level according to the following equation, In the above equation, CR refers to the company recommendation level, OM refers to the operating profit rate of each company operating a franchise business, BP refers to the average operating period of a closed franchise store, and CP is the store closure rate of the relevant franchise franchise. , SN means the number of franchise stores in a specific region, K means the regional correction coefficient, the unit of OM and CP is a percentage, and the unit of BP is the month. You can.

In addition, the cost of paying a fee to the user by comparing the user's actual sales for a franchise store started by the user for the recommended company determined by the company recommendation department with the average sales of third-party stores for the same franchise company. It further includes a decision part.

According to the present invention, the following effects can occur.

First, the industry recommendation unit determines the industry recommendation level for industries using the user's effective user information and industry information.

Through this, the industry that the user may prefer can be presented to the user, making it easier for the user to select the industry.

Additionally, the company recommendation unit uses the company information received from the information collection unit to determine the company recommendation level for franchise companies doing business in the industry selected by the user.

Through this, the user can easily select a company to become a franchise store owner.

The effects of the present invention are not limited to the effects mentioned above, and other effects not mentioned will be clearly understood by those skilled in the art from the description below.

1 is a schematic diagram of a system for providing a service for recommending franchise stores in one embodiment.
FIG. 2 is a block diagram illustrating functional modules of the service providing device according to FIG. 1.
FIG. 3 is a flowchart showing the operation process of the service providing device according to FIG. 1.
FIG. 4 is a flowchart showing the specific process of step S300 of FIG. 3.
FIG. 5 is a diagram illustrating an exemplary hardware configuration of the service providing device according to FIG. 1.

Since the present invention can make various changes and have various embodiments, specific embodiments will be illustrated in the drawings and described in detail in the detailed description. However, this is not intended to limit the present invention to specific embodiments, and should be understood to include all changes, equivalents, and substitutes included in the spirit and technical scope of the present invention. While describing each drawing, similar reference numerals are used for similar components.

Terms such as first, second, A, and B may be used to describe various components, but the components should not be limited by the terms. The above terms are used only for the purpose of distinguishing one component from another. For example, a first component may be named a second component without departing from the scope of the present invention, and similarly, the second component may also be named a first component. The term and/or includes any of a plurality of related stated items or a combination of a plurality of related stated items.

When a component is said to be "connected" or "connected" to another component, it is understood that it may be directly connected to or connected to the other component, but that other components may exist in between. It should be. On the other hand, when it is mentioned that a component is “directly connected” or “directly connected” to another component, it should be understood that there are no other components in between.

The terms used in this application are only used to describe specific embodiments and are not intended to limit the invention. Singular expressions include plural expressions unless the context clearly dictates otherwise. In this application, terms such as “comprise” or “have” are intended to designate the presence of features, numbers, steps, operations, components, parts, or combinations thereof described in the specification, but are not intended to indicate the presence of one or more other features. It should be understood that this does not exclude in advance the possibility of the existence or addition of elements, numbers, steps, operations, components, parts, or combinations thereof.

Unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as generally understood by a person of ordinary skill in the technical field to which the present invention pertains. Terms defined in commonly used dictionaries should be interpreted as having a meaning consistent with the meaning in the context of the related technology, and unless explicitly defined in the present application, should not be interpreted in an ideal or excessively formal sense. No.

Hereinafter, preferred embodiments according to the present invention will be described in detail with reference to the attached drawings.

1 is a schematic diagram of a system that provides a service for recommending franchise stores in one embodiment.

Referring to FIG. 1, a system that provides a service for recommending franchise stores includes a service providing device 100, a user terminal 200, and a database 300. The operations described below may be performed through a platform controlled by the service providing device 100. In one embodiment, the platform may be a web page, application, etc.

The user terminal 200 may be installed with a program for using a platform that can be used to select a franchise store. In one embodiment, the platform may be Google, Facebook, Naver, Naver Blog, Daum, Tistory, Instagram, YouTube, etc., which enable online advertising. However, the platform is not limited to the examples described above.

In addition, the user terminal 200 may be a communication capable desktop computer, a laptop computer, a laptop, a smart phone, a tablet PC, a mobile phone, Smart watch, smart glass, e-book reader, PMP (portable multimedia player), portable game console, navigation device, digital camera, DMB (digital multimedia broadcasting) player, It may be a digital audio recorder, a digital audio player, a digital video recorder, a digital video player, and a personal digital assistant (PDA).

The database 300 stores industry information on industries in which franchise businesses are conducted and stores company information on franchise businesses operating in each industry. Detailed descriptions of industry information and company information will be provided later.

The service providing device 100, the user terminal 200, and the database 300 are each connected to the communication network 400 and can transmit and receive data with each other through the communication network 400. For example, the communication network 400 may include Local Area Network (LAN), Metropolitan Area Network (MAN), Global System for Mobile Network (GSM), Enhanced Data GSM Environment (EDGE), High Speed Downlink Packet Access (HSDPA), W-CDMA (Wideband Code Division Multiple Access), CDMA (Code Division Multiple Access), TDMA (Time Division Multiple Access), Bluetooth, Zigbee, WiFi, VoIP (Voice over Internet Protocol) ), LTE Advanced, IEEE802.16m, WirelessMAN-Advanced, HSPA+, 3GPP Long Term Evolution (LTE), Mobile WiMAX (IEEE 802.16e), UMB (formerly EV-DO Rev. C), Flash-OFDM, iBurst and MBWA ( Various types of wired or wireless networks can be used, such as IEEE 802.20) systems, HIPERMAN, Beam-Division Multiple Access (BDMA), WiMAX (World Interoperability for Microwave Access), and 5G.

FIG. 2 is a block diagram illustrating functional modules of the service providing device 100 according to FIG. 1 .

Referring to FIG. 2 , the service providing device 100 includes an information collection unit 101, an industry recommendation unit 102, a company recommendation unit 103, and a cost determination unit 104.

The information collection unit 101 may collect user information to extract the user's preferred industry field from the user terminal 200 and collect industry information regarding the franchise business from the database 300.

Additionally, the information collection unit 101 may collect company information from the database 300 on companies operating franchise businesses in relation to recommended industries to be described later.

The industry recommendation unit 102 may determine user information related to the user preference field among the user information collected by the above-described information collection unit 101 as valid user information, and the stored effective user information and information collection unit 101 ) can be used to determine the recommended industry to recommend to the user. A detailed explanation of the decision on the recommended industry will be described later.

The business recommendation unit 103 may receive business information from the information collection unit 101 and use the received business information to determine a recommended business corresponding to the recommended business type related to the user's preferred business type. A detailed explanation of the recommended company's decision will be provided later.

When a user starts a franchise store for a recommended company determined by the company recommendation unit 103, the cost determination unit 104 compares the user's actual sales for the next one year with the average sales of other stores for the same franchise company. You can decide the incentives or compensation to be paid to the user.

The cost determination unit 104 may pay incentives or compensation to the user, thereby causing the user to practice the present invention more.

The process by which the cost determination unit 104 determines incentives or compensation will be described later.

Meanwhile, FIG. 3 is a flowchart showing the operation process of the service providing device 100 according to FIG. 1.

Referring to FIG. 3, the information collection unit 101 may collect user information to extract the user's preferred industry field from the user terminal 200 (S110). In one embodiment, user information may include basic information and detailed information. Specifically, the basic information may be the user's gender, the user's age, the user's education level, the user's occupation, the user's residence, the user's workplace, the user's Internet login ID, the user's email address, etc. Specifically, the detailed information may include usage information of various SNS platforms used by the user, usage information of OTT (Over The Top) platforms, etc.

The industry recommendation unit 102 may determine user information related to the user's preference field among the user information collected by the information collection unit 101 as valid user information (S120).

For example, the information collection unit 101 determines user identity using basic information such as the login ID entered by the user, the user's email address, age, education level, gender, occupation, residence, and work location, and then collects the user information based on this. Detailed information of the same user is stored separately for each user. In one embodiment, detailed information refers to keywords, search words, related search words, etc. entered into various Internet sites, SNS platforms, and OTT platforms used by the user.

The information collection unit 101 stores the collected information separately for each user. Then, the advertisement decision unit 102 categorizes the information collected by the information collection unit 101 and classifies it into one or more categories to determine effective user information for the user's preferred field.

For example, if the individual user information collected by the information collection unit 101 is “seasoned chicken, boneless chicken,” the information is classified into a category called “chicken” and stored as valid user information, and the information collection unit 101 If the individual user information collected is "coffee, cake, bread", the information is classified into a category called "Cafe" and stored as valid user information.

Meanwhile, the information collection unit 101 may collect industry information regarding the franchise business from the database 300 (S130). In one embodiment, industry information may include industry type, sales by industry, operating expenses by industry, cost of sales by industry, rent by industry, etc.

The industry recommendation unit 102 determines an industry related to the user's preferred field as a recommended industry using the stored valid user information and the collected industry information (S140).

Specifically, the industry recommendation level can be determined using valid user information and industry information, and the recommended industry to be provided to the user terminal 200 can be determined using the determined industry recommendation level.

Industry recommendation level can be determined by Equation 1.

In Equation 1 above, IR refers to industry recommendation, TS refers to the total sales of the industry belonging to the same category as the category of valid user information, BE refers to the operating expenses of the industry, and SC refers to the cost of sales of the industry. , AVR means the average rent of the industry, and K1 means the rent correction coefficient.

K1 is 0.5 when the rent per pyeong is between 00,000 and less than 50,000 Won, 0.4 when it is between 50,000 and less than 100,000 Won, 0.3 when it is between 100,000 and less than 150,000 Won, 0.2 when it is between 150,000 and less than 200,000 Won, and 0.1 when it is over 200,000 Won. means.

That is, a greater industry recommendation determined by the industry recommendation unit 102 indicates an industry preferred by the user, and a smaller industry recommendation indicates an industry not preferred by the user.

The industry recommendation unit 102 determines industries whose industry recommendation degree is higher than the preset industry recommendation degree as recommended industries. At this time, the preset industry recommendation level may be the industry recommendation level of an industry whose industry recommendation value is within the top third. However, it is not limited to this, and the preset industry recommendations may be changed as needed.

Meanwhile, the recommended industry determined based on the above-described industry recommendation is stored in the database 300 of the service providing device 100.

And the information collection unit 101 may collect company information about companies operating a franchise business in relation to the recommended industry described above from the database 300 (S210). In one embodiment, the company information may be the operating profit rate of each franchise of a company operating a franchise business for the recommended industry, the business period of a closed franchise, a store closing rate, and the number of franchises in a specific region.

Then, the company recommendation unit 103 uses the above-described company information to determine a recommended company corresponding to the recommended industry related to the user's preferred industry (S220).

A recommended company may refer to a franchise franchise that operates in recommended industries related to the user's preferred industry, while also operating for a long time, with a low probability of the user going out of business and earning stable profits.

Specifically, the business recommendation unit 103 may determine a business recommendation level using the above-described business information, and use the determined business recommendation level to determine a recommended business to be provided to the user terminal 200.

The degree of recommendation for a company recommended by the company recommendation unit 103 is as follows: the higher the operating profit ratio of each company operating a franchise business, the longer the average business period of a closed franchise store, and the lower the store closure rate of the franchise franchise, the higher the operating profit rate of each company operating a franchise business, the lower the store closure rate of the franchise store, and the higher the operating profit rate of each company operating a franchise business. The smaller the number of franchise stores in the franchise, the higher the value. The lower the operating profit rate of each company running the franchise business, the shorter the average operating period of closed franchise stores, and the higher the closing rate of the franchise franchise, the higher the specific The greater the number of franchise stores in a region, the lower the value.

Specifically, the company recommendation level can be determined by Equation 2.

In Equation 2 above, CR refers to the company recommendation level, OM refers to the operating profit rate of each company operating a franchise business, BP refers to the average operating period of a closed franchise store, and CP refers to the operating profit of the franchise store. It refers to the store closing rate, SN refers to the number of franchise stores in a specific region, and K refers to the regional correction coefficient.

At this time, the specific region of SN may be determined by the franchise headquarters, but is not necessarily limited thereto, and may be an area determined by agreement between the user and the franchise headquarters.

Meanwhile, in one embodiment, the regional correction coefficient is weighted to consider the number of franchise stores in the same industry within a specific region, and the regional correction coefficient is such that the number of competing franchise companies in the same industry within a certain region is 0 or more. When there are less than 1, it means 1, when there are more than 1 but less than 3, it means 0.8, when there are more than 3 but less than 5, it means 0.6, and when there are more than 5, it means 0.5.

In addition, the units of OM and CP in Equation 2, which determine the company recommendation level, are percentages, and the units of BP correspond to months.

That is, the greater the company recommendation determined by the company recommendation unit 103, the higher the probability that the user will select the franchise company, and the lower the determined company recommendation level, the lower the probability that the user will select the franchise company.

In one embodiment, companies whose company recommendation level is higher than a preset company recommendation level are determined as recommended companies.

Meanwhile, the recommended company determined based on the above-described company recommendation level is stored in the database 300 of the service providing device 100.

Meanwhile, the cost determination unit 104, when the user starts a franchise store for the recommended company determined by the business recommendation unit 103, calculates the user's actual sales for the next one year and the average sales of other stores for the same franchise company. By comparison, the cost to be paid to the user can be determined (S300).

FIG. 4 is a flowchart showing the specific process of step S300 of FIG. 3.

Referring to FIG. 4, when a user starts a franchise store with respect to a recommended company determined by the above-described company recommendation unit 103, the cost determination unit 104 sets a price for the franchise company equal to the user's actual sales for one year. Compare the average sales of other stores. Specifically, it is calculated whether the actual sales of the user for one year divided by the average sales of other users operating the same franchise store is greater than 1 (S310).

If the actual sales of the user for one year divided by the average sales of other users operating the same franchise store is greater than 1, the cost determination unit 104 pays an incentive to the user (S320).

Specifically, the cost determination unit 104 may pay a certain percentage of actual sales minus the average sales of other users operating the same franchise store to the user as an incentive. At this time, the above-mentioned percentage for paying incentives is preferably 30 percent, but it is not necessarily limited to this, and the above-mentioned percentage may change depending on the circumstances of the franchise headquarters.

In addition, if the actual sales of the user for one year divided by the average sales of other users operating the same franchise store is less than 1, the cost determination unit 104 pays compensation to the user (S330).

As a practical example, the cost determination unit 104 may pay a certain percentage of the average sales of other users operating the same franchise franchise subtracted from the user's actual sales as compensation to the user. At this time, the above-mentioned percentage for paying compensation is preferably 10 percent, but is not necessarily limited to this, and the above-mentioned percentage may vary depending on the circumstances of the franchise headquarters or the circumstances of the user operating a franchise store for the recommended company.

Referring again to FIG. 3, the cost determination unit 104 pays the cost determined by the cost determination unit 104 in step S300 to the user (S400). The determined cost may be paid through the user terminal 200, but the cost does not necessarily have to be paid to the user through the user terminal 200.

FIG. 5 is a diagram illustrating the hardware configuration of the service providing device according to FIG. 1.

Referring to FIG. 5, the service providing device 100 stores at least one processor 110 and instructions instructing the at least one processor 110 to perform at least one operation. may include memory.

The at least one operation may include the components 101 to 104 of the service providing device 100 described above or other functions or operation methods.

Here, the at least one processor 110 may mean a central processing unit (CPU), a graphics processing unit (GPU), or a dedicated processor on which methods according to embodiments of the present invention are performed. You can. Each of the memory 120 and the storage device 160 may be comprised of at least one of a volatile storage medium and a non-volatile storage medium.

For example, the memory 120 may be one of read only memory (ROM) and random access memory (RAM), and the storage device 160 may be flash memory. , a hard disk drive (HDD), a solid state drive (SSD), or various memory cards (eg, micro SD card).

Additionally, the device 100 may include a transceiver 130 that performs communication through a wireless network. Additionally, the device 100 may further include an input interface device 140, an output interface device 150, a storage device 160, etc. Each component included in the device 100 is connected by a bus 170 and can communicate with each other.

Examples of the device 100 include a desktop computer, a laptop computer, a laptop, a smart phone, a tablet PC, and a mobile phone capable of communicating. , smart watch, smart glass, e-book reader, PMP (portable multimedia player), portable game console, navigation device, digital camera, DMB (digital multimedia broadcasting) player. , a digital audio recorder, a digital audio player, a digital video recorder, a digital video player, a PDA (Personal Digital Assistant), etc.

Methods according to the present invention may be implemented in the form of program instructions that can be executed through various computer means and recorded on a computer-readable medium. Computer-readable media may include program instructions, data files, data structures, etc., singly or in combination. Program instructions recorded on a computer-readable medium may be specially designed and constructed for the present invention or may be known and usable by those skilled in the computer software art.

Examples of computer-readable media may include hardware devices specifically configured to store and execute program instructions, such as ROM, RAM, flash memory, etc. Examples of program instructions may include machine language code such as that created by a compiler, as well as high-level language code that can be executed by a computer using an interpreter, etc. The above-described hardware device may be configured to operate with at least one software module to perform the operations of the present invention, and vice versa.

Additionally, the above-described method or device may be implemented by combining all or part of its components or functions, or may be implemented separately.

Although the present invention has been described above with reference to preferred embodiments, those skilled in the art may make various modifications and changes to the present invention without departing from the spirit and scope of the present invention as set forth in the claims below. You will understand that you can do it.

Claims (1)

As a device for providing a service for recommending franchise stores,
Information that collects user information to extract the user's preferred industry field from the user terminal, collects industry information about the franchise business from the database, and collects company information about companies operating the franchise business from the database. collection department;
Among the user information collected by the information collection unit, user information related to the user's preferred field is determined as effective user information, and recommendations are made to the user using the stored effective user information and the industry information received from the information collection unit. Industry recommendation department that determines recommended industries;
Receives the company information from the information collection unit, determines a company recommendation level using the received company information, and determines companies whose company recommendation level is higher than a preset company recommendation level as recommended companies, so that the user A company recommendation unit that determines a recommended company corresponding to the recommended industry related to the preferred industry; and
For the recommended company determined by the business recommendation department, the cost of paying the fee to the user is determined by comparing the actual sales of the user for a franchise store started by the user with the average sales of a third-party store operating the same franchise company. Part; includes,
The industry information includes the type of industry in which the franchise business is conducted, sales by industry, operating expenses by industry, cost of sales by industry, and rent by industry,
The company information refers to the operating profit rate of each franchise of the company operating the franchise business for the recommended industry, the business period of the closed franchise, the closure rate, and the number of franchises in a specific region,
The industry recommendation department,
The industry recommendation level is determined using the effective user information and industry information, and industries for which the industry recommendation level is higher than the preset industry recommendation level are determined as recommended industries,
The industry recommendation degree is proportional to the rental correction coefficient, is proportional to the log of the total sales of the industry belonging to the same category as the category of the effective user information divided by the cost of sales of the industry, and is proportional to the logarithm of the value of the industry's sales price. It is decided to be inversely proportional to the cost and inversely proportional to the value taken as the root of the average rent of the industry.
The above rent correction coefficient is 0.5 when the rent per pyeong is between 00,000 won and less than 50,000 won, 0.4 when it is between 50,000 won and less than 100,000 won, 0.3 when it is between 100,000 won and less than 150,000 won, 0.2 when it is between 150,000 won and less than 200,000 won, and 200,000 won or more. means 0.1,
The company recommendation department is,
The recommendation level of the company is determined according to the equation below,

In the above equation, CR refers to the company recommendation level, OM refers to the operating profit rate of each company operating a franchise business, BP refers to the average operating period of a closed franchise store, and CP is the store closure rate of the relevant franchise franchise. , SN means the number of franchise stores in a specific region, K means the regional correction coefficient, the unit of OM and CP is a percentage, and the unit of BP is the month. ,
The cost determination unit,
Calculating whether the result of dividing the actual sales of the user by the average sales of the third-party stores operating the same franchise company is greater than 1, and providing an incentive to the user if the result is greater than 1,
Calculating whether the result of dividing the actual sales of the user by the average sales of the third-party stores operating the same franchise company is greater than 1, and paying compensation to the user if the result is less than 1,
Device.