KR102623050B1 - Method for providing customized information of franchise start-up - Google Patents

Abstract

The present invention relates to a service method for providing customized franchise start-up information, and more specifically, to calculate franchise optimization matching rate information with a high probability of success through AI analysis based on the conditions of prospective entrepreneurs for franchises in various industries. This is about a customized franchise start-up information service method.

Description

{METHOD FOR PROVIDING CUSTOMIZED INFORMATION OF FRANCHISE START-UP}

The present invention relates to a service method for providing customized franchise start-up information, and more specifically, to calculate franchise optimization matching rate information with a high probability of success through AI analysis based on the conditions of prospective entrepreneurs for franchises in various industries. This is about a customized franchise start-up information service method.

The franchise industry has been recognized as a part of the distribution industry, but it is developing into an industry that can strengthen the competitiveness of not only the distribution industry but also the restaurant and service industries.

A franchising contract is an agreement between independent businesses in which the franchisee agrees to sell products or services according to certain quality standards as part of the headquarters' marketing goals and pays a franchise fee in return.

Franchise business based on such franchise agreements maintains a certain quality of the same products or services sold by franchise operators and sells them to customers and consumers so that small-scale economic effects of specific products and services are created for the franchising headquarters and many franchise operators. do.

In the past, the age group that wanted to start a business was mainly people in their 40s or older, but recently, as the number of unmanned franchises has increased, it is possible to run two jobs, and even though the initial cost is high, the advantage is that work fatigue is low and stable profits can be made. As young people seek solutions to their employment difficulties, the number of people in their 20s and 30s who are interested in starting a business is increasing.

However, for prospective entrepreneurs, the most specific way to obtain start-up information is to visit company booths set up at franchise startup exhibitions held mainly offline and receive consultations. Not only are there difficulties in location and time, but interest in starting a business is increasing among a wide range of age groups, and the types of franchises are becoming more diverse, so a media that can effectively mediate between franchise headquarters and prospective entrepreneurs is needed.

Republic of Korea Patent No. 10-1561866 (Application date: December 23, 2013)

Therefore, the present invention was proposed to solve the problems described above, and is a customized system that calculates franchise optimization matching rate information with a high probability of success through AI analysis based on the conditions of prospective entrepreneurs for franchises in various industries. We would like to provide a franchise business information service method.

The object of the present invention is not limited to what was mentioned above, and other objects not mentioned will be clearly understood by those skilled in the art from the description below.

In order to achieve the above object, the customized franchise business information provision service method according to an embodiment of the present invention is where the customized franchise business information provision service server receives franchise business information from a plurality of franchise headquarters servers and categorizes and stores it. step; Collecting prospective entrepreneur information, start-up franchise information, and start-up result information, and building a franchise success matching algorithm based on the collected data; A step of receiving condition data for a desired start-up from a prospective entrepreneur terminal; Calculating a franchise franchise optimization matching rate by inputting the input condition data into the franchise success matching algorithm; And it includes the step of transmitting the calculated franchise franchise optimization matching rate information to the prospective entrepreneur terminal.

According to the customized franchise business information provision service method according to an embodiment of the present invention, the franchise headquarters can reduce expenses by entrusting marketing to a professional franchise platform, and prospective entrepreneurs can easily obtain the information they want about franchise business start-up. Not only can you obtain it, but you can also utilize franchise recommendation information that suits your conditions and has a high probability of success.

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

Figure 1 is a configuration diagram of a service system for providing customized franchise business start-up information according to an embodiment of the present invention.
Figure 2 is a block diagram showing the configuration of a customized franchise business information provision service system according to an embodiment of the present invention.
Figure 3 is an exemplary diagram showing an example of outputting franchise franchise optimization matching rate information to a prospective entrepreneur terminal according to an embodiment of the present invention.
Figure 4 is an exemplary diagram showing an example of outputting a franchise start-up item in the form of a 3D virtual image according to an embodiment of the present invention.
Figure 5 is a flowchart for explaining the process of providing customized franchise business information service according to an embodiment of the present invention.

The purpose and effects of the present invention, and technical configurations for achieving them, will become clear by referring to the embodiments described in detail below along with the accompanying drawings. In describing the present invention, if it is determined that a detailed description of a known function or configuration may unnecessarily obscure the gist of the present invention, the detailed description will be omitted. The terms described later are defined in consideration of the structure, role, and function in the present invention, and may vary depending on the intention or custom of the user or operator.

However, the present invention is not limited to the embodiments disclosed below and may be implemented in various different forms. These examples are merely provided to ensure that the disclosure of the present invention is complete and to fully inform those skilled in the art of the invention of the scope of the invention, and that the present invention is limited only to those described in the claims. It is only defined by the scope of the claim. Therefore, the definition should be made based on the contents throughout this specification.

Throughout the specification, when a part is said to “include” a certain element, this means that it may further include other elements rather than excluding other elements, unless specifically stated to the contrary.

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

Meanwhile, in an embodiment of the present invention, combinations of each block of the attached block diagram and each step of the flow diagram may be performed by computer program instructions. Since these computer program instructions can be loaded on the processor of other programmable data processing equipment such as general-purpose computers, special-purpose computers, portable laptop computers, and network computers, the instructions executed through the processor of the computer device or other programmable data processing equipment are A means to perform the functions described in each block of the block diagram or each step of the flow diagram described below is created. These computer program instructions may also be stored in memory available to a computer device or in computer-readable memory that can be directed to the computer device or other programmable data processing equipment to implement a function in a particular manner, so that each block of the block diagram Alternatively, it is also possible to produce a product containing instruction means that perform the functions described in each step of the flow diagram. Since computer program instructions can also be mounted on a computer device or other programmable data processing equipment, a process for performing a series of operation steps on a computer device or other programmable data processing equipment is created, and each block and flow diagram of the block diagram is displayed. It is also possible to provide steps for executing the functions described in each step.

Additionally, each block or each step may represent a module, segment, or portion of code that includes one or more executable instructions for executing specified logical function(s). Additionally, it should be noted that in some alternative embodiments it is possible for the functions mentioned in the blocks or steps to occur out of order. For example, two blocks or steps shown in succession may in fact be performed substantially simultaneously, or the blocks or steps may sometimes be performed in reverse order depending on the corresponding function.

Figure 1 is a configuration diagram of a customized franchise business start-up information provision service system according to an embodiment of the present invention, and Figure 2 is a block diagram showing the configuration of a customized franchise start-up information provision service system according to an embodiment of the present invention.

Referring to Figures 1 and 2, the customized franchise business start-up information provision service system according to an embodiment of the present invention includes a franchise headquarters server (101-100n: 100), a customized franchise start-up information service server (200), and a prospective entrepreneur. Includes terminals (301~300n: 300).

The franchise headquarters server 100 transmits information for the purpose of franchise business explanation and guidance, franchise franchise recruitment, franchise management, marketing, etc. from the franchise headquarters to the customized franchise business start-up information service server 200.

This franchise headquarters server (100) can receive inquiries and requests from prospective entrepreneurs wishing to open a franchise from the customized franchise business information provision service server (200), and is connected to the prospective entrepreneur terminal (300) to provide information for franchise business start-ups. Cooperation can proceed.

The customized franchise business start-up information provision service server 200 creates a customized franchise start-up information service application and allows prospective entrepreneur terminals 300 to receive and run it. In addition, the customized franchise start-up information service server 200 delivers information that allows the franchise headquarters servers 100 to market the franchise start-up, franchise promotional information, etc., and provides prospective start-up terminals matched by the franchise success matching algorithm. A dedicated application that can be connected to (300) is provided and executed.

This customized franchise business information provision service server 200 is a platform created by a developer server, and can provide necessary services to franchise headquarters and prospective entrepreneurs in a two-way manner or receive requests for necessary services from them. It serves as a relay that connects.

Specifically, the customized franchise business start-up information service server 200 receives franchise business status information of the company from the franchise headquarters server 100, for example, start-up cost based on unit square footage, average monthly sales, average monthly sales per unit pyeong, franchise status, and Information about possible business start-up types can be received and stored. Here, information about the type of business start-up may include information about whether product delivery is possible, the type of store, whether shop-in-shop is possible, and whether a shared kitchen is available.

In addition, the customized franchise start-up information provision service server 200 receives the franchise's brand introduction, brand competitiveness, brand menu, etc. as brand information from the franchise headquarters server 100, and the headquarters company information and headquarters sales information as headquarters information. It can be stored, and whenever this information changes, it can be updated by receiving the changed information.

In addition, the customized franchise start-up information provision service server 200 may receive and store information about franchise start-up success stories from the franchise headquarters server 100.

This customized franchise business information provision service server 200 can receive franchise business information from the franchise headquarters servers 100, classify it into categories, and store it. For example, in the case of franchises in the food industry, the classification of franchises by category can be broadly divided into Korean food, snack food, Western food, Chinese food, Japanese food, dessert, etc., and as a sub-classification of each of the above upper categories, Japanese food includes pork cutlet. , raw fish restaurants, etc. can be matched, and desserts can be matched with cafes, bread, cake shops, etc.

In addition, the customized franchise start-up information service server 200 matches the optimized customized franchise to the prospective entrepreneur based on an artificial intelligence algorithm, can provide information on the matched franchise start-up, and sends the prospective entrepreneur to the headquarters server of the franchise. You can connect to (100).

To this end, the customized franchise start-up information provision service server 200 can collect prospective entrepreneur information, start-up franchise information, and start-up result information, and build a franchise success matching algorithm based on the collected data.

Here, the franchise success matching algorithm first collects and converts start-up result information into big data, including information on a plurality of prospective entrepreneurs, information on the franchises started by each prospective entrepreneur, and the operating status after start-up. In addition, the collected data can be subjected to machine learning, and the collected data can be analyzed through the machine learning to calculate franchise startup recommendation information and startup result prediction information customized for prospective entrepreneurs. Here, the prospective entrepreneur information may include at least one of the prospective entrepreneur's startup budget, startup industry, startup type, startup region, and startup square footage.

By learning millions of pieces of data, this franchise success matching algorithm can theoretically predict results with a high probability of startup success for new prospective startup information and franchise startup recruitment pairs.

For example, when reviewing the actual prospective entrepreneur's information, it is determined whether the prospective entrepreneur has sufficient elements to start a business by comparing the prospective entrepreneur's interest industry, start-up cost limit, etc., and in the franchise success matching algorithm, the prospective entrepreneur's condition information and success The machine learning model learns patterns such as which factors among the franchise startup conditions corresponding to the case affect the successful operation results after startup.

To this end, weights can be assigned to each condition element, and importance can be calculated for each condition element. Because there are many factors that affect successful franchise operation in addition to the conditions of prospective entrepreneurs, various data on prospective entrepreneurs and franchisees held by the franchise success matching algorithm can also be used to increase the accuracy of machine learning. For example, data such as the local environment in which the franchise is established, population density, floating population, distance from the manufacturer, product prevalence, etc. can be utilized.

In this way, the customized franchise business information provision service server 200 inputs the condition data input from the prospective entrepreneur terminal 300 into the franchise success matching algorithm to calculate the franchise franchise optimization matching rate, and calculates the franchise franchise optimization matching rate. Information can be transmitted to the prospective entrepreneur terminal 300. Figure 3 shows an example of outputting franchise franchise optimization matching rate information to the prospective entrepreneur terminal 300.

After receiving the franchise franchise optimization matching rate information through the customized franchise start-up information provision service server 200, the prospective entrepreneur terminal 300 can receive a consultation inquiry related to the data results of those wishing to open a franchise, and respond to the consultation inquiry. Counseling input from the franchise headquarters server 100 can be provided.

Meanwhile, the customized franchise business information provision service server 200 divides the franchise optimization franchise information for each prospective entrepreneur into a normal mode and an augmented reality mode, and in the case of the normal mode, the matching rate information and the corresponding franchise information are provided as described in FIG. 1. Be sure to provide it.

In contrast, when the customized franchise business information provision service server 200 is in augmented reality mode, franchise business items can be output in the form of a three-dimensional virtual image based on condition information entered by the prospective entrepreneur, as shown in FIG. Augmented reality can be implemented. At this time, a 3D virtual image of the store can be printed by designing and arranging the store considering the area, square footage, and industry desired by the prospective entrepreneur. In addition to the 3D virtual image of the store, it also outputs the movement of customers entering and leaving the store according to the number of floating populations that fluctuates over time, taking into account the surrounding environment and population density.

In addition, information about stores of the same or similar industry in the area requested by the prospective entrepreneur terminal 200 can be displayed in connection with the GPS reception function or map information display function stored in the terminal. In other words, it is possible to additionally provide information on the industry of stores located within a set distance from the area in which the franchise is planned to be established, or information on the distribution of industries similar to the franchise.

In addition, when an image for one display item among the 3D virtual image stores is selected by the prospective entrepreneur terminal 300, a text information window for cost information, management information, function information, etc. of the selected display item is output.

In addition, an image for one display item is selected by the prospective entrepreneur terminal 300, and options such as changing the position of the item or changing the product are possible. Accordingly, prospective entrepreneurs can experience a simulation service that allows them to change in detail the necessary items such as various furniture included in starting a business according to price, material, interior, etc.

When all modifications and changes to the 3D virtual image store are completed by the prospective entrepreneur terminal 300, information about the completed 3D virtual image store may be transmitted to the corresponding franchise headquarters server 100, and the franchise headquarters server (100) can use this as reference material when counseling regarding the relevant franchise.

The prospective entrepreneur terminal 300 can be connected to the web page of the franchise through the link provided in the application, and can also obtain information on franchise startup success stories from content available on the web page.

In addition, the prospective entrepreneur terminal 300 can conduct marketing, such as a function to promote my store, through the application.

Through the operation of this platform, the customized franchise business information service system allows prospective entrepreneurs to earn compensation from the franchise headquarters when signing a franchise contract, generate profits from advertising franchise stores, and generate profits from the founder.

In conclusion, by entrusting marketing to a professional franchise platform, the franchise headquarters can reduce expenses and prospective entrepreneurs can not only obtain the information they want, but also obtain recommended franchise information that suits their conditions and has a high probability of success. You can utilize it.

Figure 5 is a flowchart for explaining the process of providing customized franchise business information service according to an embodiment of the present invention.

Referring to Figure 5, in the customized franchise business information provision service method according to an embodiment of the present invention, first, the customized franchise business information provision service server receives franchise business information from a plurality of franchise headquarters servers, classifies and stores it by category. Do it (S110).

For example, in the case of franchises in the food industry, the classification of franchises by category can be broadly divided into Korean food, snack food, Western food, Chinese food, Japanese food, dessert, etc., and as a sub-classification of each of the above upper categories, Japanese food includes pork cutlet. , raw fish restaurants, etc. can be matched, and desserts can be matched with cafes, bread, cake shops, etc.

Next, the customized franchise start-up information provision service server can collect prospective entrepreneur information, start-up franchise information, and start-up result information, and build a franchise success matching algorithm based on the collected data (S120).

Next, the customized franchise business start-up information service server receives the condition data for the desired start-up from the prospective entrepreneur terminal (S130). In other words, you can receive information about the area where the desired franchise store is scheduled to open, start-up budget, start-up industry, start-up type, and start-up square footage from the prospective entrepreneur terminal, along with prospective entrepreneur information such as the prospective entrepreneur's name, address, and phone number. You can receive input.

Next, the customized franchise business information provision service server inputs the input condition data into the franchise success matching algorithm to calculate the franchise franchise optimization matching rate (S140).

To this end, the customized franchise start-up information service server can match prospective entrepreneurs with optimized customized franchises based on artificial intelligence algorithms and provide information about the matched franchise start-ups. In one embodiment, the customized franchise start-up information provision service server may collect prospective entrepreneur information, start-up franchise information, and start-up result information, and build a franchise success matching algorithm based on the collected data.

Here, the franchise success matching algorithm first collects and converts start-up result information into big data, including information on a plurality of prospective entrepreneurs, information on the franchises started by each prospective entrepreneur, and the operating status after start-up. In addition, the collected data can be subjected to machine learning, and the collected data can be analyzed through the machine learning to calculate franchise startup recommendation information and startup result prediction information customized for prospective entrepreneurs. Here, the prospective entrepreneur information may include at least one of the prospective entrepreneur's startup budget, startup industry, startup type, startup region, and startup square footage.

By learning millions of pieces of data, this franchise success matching algorithm can theoretically predict results with a high probability of startup success for new prospective startup information and franchise startup recruitment pairs.

For example, when reviewing the actual prospective entrepreneur's information, it is determined whether the prospective entrepreneur has sufficient elements to start a business by comparing the prospective entrepreneur's interest industry, start-up cost limit, etc., and in the franchise success matching algorithm, the prospective entrepreneur's condition information and success The machine learning model learns patterns such as which factors among the franchise startup conditions corresponding to the case affect the successful operation results after startup.

To this end, weights can be assigned to each condition element, and importance can be calculated for each condition element. Because there are many factors that affect successful franchise operation in addition to the conditions of prospective entrepreneurs, various data on prospective entrepreneurs and franchisees held by the franchise success matching algorithm can also be used to increase the accuracy of machine learning. For example, data such as the local environment in which the franchise is established, population density, floating population, distance from the manufacturer, product prevalence, etc. can be utilized.

Next, the customized franchise start-up information provision service server transmits the calculated franchise franchise optimization matching rate information to the prospective start-up terminal (S150).

In this way, the customized franchise business information provision service server calculates the franchise franchise optimization matching rate by inputting the condition data input from the prospective entrepreneur terminal into the franchise success matching algorithm, and transmits the calculated franchise franchise optimization matching rate information to the prospective entrepreneur terminal. I can send it to you.

Accordingly, after receiving the franchise franchise optimization matching rate information through the customized franchise startup information service server, the prospective entrepreneur terminal can receive consultation inquiries related to the data results of those wishing to open a franchise, and in response to the consultation inquiries, the franchise headquarters server You can receive input counseling.

In this specification and drawings, preferred embodiments of the present invention are disclosed, and although specific terms are used, these are merely used in a general sense to easily explain the technical content of the present invention and aid understanding of the present invention. There is no intention to limit the scope. It is obvious to those skilled in the art that in addition to the embodiments disclosed herein, other modifications based on the technical idea of the present invention can be implemented.

1: Customized franchise start-up information service system
100: Franchise headquarters server
200: Customized franchise business information server
300: Prospective entrepreneur terminal

Claims (7)

A customized franchise business information provision service server receiving franchise business information from a plurality of franchise headquarters servers and classifying and storing the franchise business information into categories;
Collecting prospective entrepreneur information, start-up franchise information, and start-up result information, and building a franchise success matching algorithm based on the collected data;
A step of receiving condition data for a desired start-up from a prospective entrepreneur terminal;
Inputting the input condition data into the franchise success matching algorithm to calculate a franchise franchise optimization matching rate; and
It includes the step of transmitting the calculated franchise franchise optimization matching rate information to the prospective entrepreneur terminal,
The franchise business information received from multiple franchise headquarters servers includes information for the purpose of franchise business description and guidance, franchise recruitment, franchise management, and marketing, as well as start-up costs based on unit square footage, average monthly sales, and unit It further includes information on average monthly sales per pyeong, franchise status, and possible business start-up types.
The step of transmitting the franchise franchise optimization matching rate information to the prospective entrepreneur terminal,
Based on the condition information entered by the prospective entrepreneur, the franchise business items are output in the form of a 3D virtual image to implement augmented reality, and the store is designed and placed in consideration of the area, square footage, and industry desired by the prospective entrepreneur to create a 3D virtual image. Print the store, and output the movement of customers entering and leaving the store according to the floating population that fluctuates over time, taking into account the actual surrounding environment and population density of the expected start-up area,
Information on stores of the same or similar industry in the area requested by the prospective entrepreneur terminal is displayed in conjunction with the GPS reception function or map information display function stored in the terminal,
The step of building the franchise success matching algorithm is,
Collecting and converting start-up result information into big data, including information on a plurality of prospective entrepreneurs, information on franchises started by each of the prospective entrepreneurs, and operation status after start-up;
Machine learning the collected data; and
A service method for providing customized franchise start-up information, comprising the step of analyzing the collected data through the machine learning to calculate franchise start-up recommendation information and start-up result prediction information tailored to prospective entrepreneurs. delete delete delete delete delete delete