KR102416925B1 - O2O Fitness online to offline marketing and the method using it - Google Patents

Abstract

The present invention relates to an O2O fitness network marketing system, and more specifically to an O2O fitness network marketing system, which enters into a partnership agreement with people in a domestic fitness industry to sell diet products at a discount and provide sales revenue to a partner. The O2O fitness network marketing system includes: a fitness server for promoting products on customer terminals and storing promotional activity details; a chef server receiving order information of the product from a fitness server or a customer terminal and supplying a product according to order information; and a customer terminal for uploading and storing product reviews to the fitness server.

Description

O2O fitness network marketing system and marketing method using the same {O2O Fitness online to offline marketing and the method using it}

The present invention relates to an O2O fitness network marketing system, and more specifically, 1) providing information on calories consumed and consumed calorie according to the diet after purchasing Every1 Chef product as a diet management, 2) exercising at the corresponding fitness center as an exercise VOD service We provide VOD service to enable non-face-to-face homing by uploading video, include upload function in the fitness center, and provide consumers with comprehensive management services such as high-quality product intake/product discount/diet progress, and fitness center It is about a comprehensive diet O2O business model that provides comprehensive member management/re-registration rate improvement, dropout rate reduction/fee settlement service, such as diet management, In-Body Check, and non-face-to-face group exercise, and increases sales/brand awareness for companies.

As people become more and more interested in their health, the market related to fitness centers is growing every year. However, despite the external growth of the fitness center-related market, the growth in terms of internal growth has been slow.

In line with the age of 100, interest in health is increasing for both men and women of all ages, and non-face-to-face personal health activities are becoming a big trend due to COVID-19. In line with this trend, the wind of change is blowing as the fitness industry develops rapidly.

In order to solve these problems in line with social change, a fitness business armed with new content suitable for the online era is being studied in line with the desire for a new type of fitness business model to be developed.

However, there is currently no fitness business that uses network marketing to sell diet products at a discount, provide useful content, and provide sales profits equally to partners.

Therefore, if it is possible to sell diet products at a discount, provide useful content, and provide the sales revenue equally to partners (or sub-sellers), sales of 600 million won/month when contracting 2,000 stores at 10,299 fitness centers nationwide (Korean content media) achievement is estimated.

Korean Patent Publication KR 2005-0026814 A Korean Patent Publication KR 2001-0081756 A Korean Patent Publication KR 2020-0076985 A Korean Patent Publication KR 2007-0031762 A Korean Patent Publication KR 2001-0085086 A Korean Patent KR 2324379 B1 Korean Patent KR 2306055 B1 Korean Patent Publication KR 2021-0021515 A Korean Patent Registration KR 2282092 B1 Korean Patent KR 2321198 B1 Korean Patent KR 1902866 B1 Korean Patent KR 2117708 B1 Korean Patent KR 1970687 B1 Korean Patent KR 2145692 B1 Korean Patent KR 2251408 B1 Korea Registered Patent KR 1970688 B1 Korean Patent KR 2245338 B1 Korean Patent Registration KR 2019202 B1 Korean Patent KR 2196998 B1 Korean Patent Publication KR 2020-0023222 A

The present invention has been made to solve the above problems, and the present invention enables fitness workers among current partner contractors to actively voluntarily promote activities (motivated by product excellence and sales revenue) through SNS, and by itself without a separate agency. The purpose is to provide promotional materials for production so that partners can promote themselves, sell diet products at a discount, provide useful content, and provide sales revenue equally to partners (or sub-sellers).

In addition, the present invention provides information on calories consumed and consumed according to the diet after purchasing Every1 Chef product as a diet management, and as an exercise VOD service, uploading an exercise video from the fitness center to provide a VOD service so that non-face-to-face homing is possible. There is this.

In addition, the present invention includes an upload function in the application in the fitness center, and provides a comprehensive management service such as high-quality product intake/product discount/diet progress to consumers, and diet management, in-body check, non-face-to-face group exercise, etc. in the fitness center The purpose is to provide comprehensive member management/re-registration rate improvement and dropout rate reduction/fee settlement service.

In order to solve the above problems, the present invention provides a customer terminal; a fitness server for storing promotional activity details by promoting a product in a customer terminal; fitness server for ordering information of the product; or a customer terminal; a chef server that receives from and supplies products according to the order information; A customer terminal for uploading and storing product reviews in the fitness server; includes, the customer terminal; uploads product reviews to the fitness server, and the chef server; pays a fee according to the order information to the fitness server; The fitness server; transmits the promotional activity feedback for the promotional activity information according to the product promotion to the fitness server.

The present invention includes a QR code module that generates a QR code and scans it, generates a dedicated code and delivers it to a customer terminal, and receives a discount through this.

The present invention includes a diet management module that provides information on calories consumed and calories consumed according to a diet after purchasing a specific food.

The present invention provides an exercise VOD service so that non-face-to-face homing is possible by uploading an exercise video in the corresponding fitness center.

The present invention comprises the steps of: in a fitness server; by promoting a product in a customer terminal through SNS; Chef server; Fitness server for ordering information of the product from; or receiving from a customer terminal; supplying a product according to the order information; Customer terminal; uploading and storing product reviews to the fitness server; A chef server; a fitness server; paying a fee according to the order information; and a fitness server; transmits and stores the promotional activity information according to the product promotion to the chef server, and the chef server transmits the promotional activity feedback according to the promotional activity information to the fitness server.

The present invention further includes; the step of providing sales, total allowance, basic allowance, incentive allowance, and incentives for public relations activity feedback through the cumulative allowance details module.

The chef server further includes; dividing the seller terminal that promotes the product into new sellers or n-largest sellers to manage sub-sellers.

The present invention further includes; as an incentive payment condition, displaying the monthly accumulated sales through the monthly accumulated sales calculation module and information on the remaining incentive days through the incentive remaining day calculation module.

The technology disclosed herein may have the following effects. However, this does not mean that a specific embodiment should include all of the following effects or only the following effects, so the scope of the disclosed technology should not be construed as being limited thereby.

The present invention made as described above makes a partner contract with people who are engaged in the domestic fitness industry through a fitness center representative meeting (face-to-face process description), etc., sells diet products at a discount, and provides sales revenue to partners for direct marketing to target audience This is possible.

In addition, the present invention provides self-produced promotional materials (online and offline; X-banner, Qbang promotional material, elevator promotional material, etc.) to the Red Ocean market, and comprehensive management of quality product intake/product discount/diet progress, etc. You can discover and attack niche markets.

In addition, the present invention provides information on calories consumed and consumed calories according to the diet after purchasing Every1 Chef product as a diet management, and as an exercise VOD service, it is possible to upload an exercise video from the fitness center to enable non-face-to-face homing.

In addition, the present invention can provide consumers with comprehensive management services such as high-quality product intake/product discount/diet progress.

In addition, the present invention provides comprehensive member management/re-registration rate improvement and dropout rate reduction/fee settlement service such as diet management, In-Body Check, and non-face-to-face group exercise, and provides an effect of increasing sales/brand recognition to companies.

1 is a diagram showing the overall configuration of an O2O fitness network marketing system according to an embodiment of the present invention.
2 is a view showing a breakdown of accumulated allowances according to an embodiment of the present invention.
3 is a diagram illustrating a sub-seller and incentive payment conditions according to an embodiment of the present invention.
4 is a view showing a screen in which a discount code module is operated according to an embodiment of the present invention.
5 is a view showing a QR code module according to another embodiment of the present invention.
6 is a diagram showing a configuration including an exercise VOD service module, an in-body check module, a diet management module, and the like according to another embodiment of the present invention.

In order to fully understand the present invention, preferred embodiments of the present invention will be described with reference to the accompanying drawings. Embodiments of the present invention may be modified in various forms, and the scope of the present invention should not be construed as being limited to the embodiments described in detail below. This example is provided to more completely explain the present invention to those of ordinary skill in the art. Accordingly, the shapes of elements in the drawings may be exaggerated to emphasize a clearer description. It should be noted that in each drawing, the same member is shown with the same reference numerals in some cases. In addition, detailed descriptions of well-known functions and configurations determined to unnecessarily obscure the gist of the present invention will be omitted.

As shown in FIG. 1, the O2O fitness network marketing system according to the present invention includes: a customer terminal 30; a fitness server 20 for storing promotional activity details by promoting a product to a customer terminal 30; Chef server 10 receiving the order information of the product from the fitness server 20 or customer terminal 30 and supplying the product according to the order information; and a customer terminal 30 for uploading and storing product reviews to the fitness server.

The customer terminal 30; uploads product reviews to the fitness server, the chef server 10; pays a fee according to the order information to the fitness server 20; and the fitness server 20; The publicity feedback for the promotional activity information according to the publicity is transmitted to the fitness server 20;

The chef server 10 is a server that manages the fitness network marketing and fitness network marketing process for a specific food or item, and applies for a fitness center representative code (available in an online shopping mall), and issuance of a dedicated code (available immediately after issuance) And, on/offline promotional materials (X-banner, mini-banner) delivery function (photo+code number+QR code insertion, custom production possible), fitness center member promotion function (specific food recommendation to general members) and members In order to increase access to our online shopping mall, we include a QR code scanning function and a fitness network marketing process that allows you to receive and use a discount code after scanning the QR code.

In addition, the chef server 10 can check the status of orders and sales commissions through a dedicated web or app page provided to the fitness server 20 and the customer terminal 30, etc., and provides a QR code generation function for scanning the QR code do.

In addition, the chef server 10 may display the discounted price screen after entering the shopping mall, purchasing a discount price, and inputting a discount code on a dedicated web or app page provided to the fitness server 20 and the customer terminal 30 .

In addition, the chef server 10 can provide a comprehensive diet business model through a dedicated web or app page provided to the fitness server 20 and the customer terminal 30, etc. It provides information necessary for dieting, such as diet management and In-Body check, or provides information on calories intake and consumption according to the diet after purchasing a specific food (eg, chicken breast cooked with sous vide) (diet management function), or at the fitness center It is possible to provide VOD service (exercise VOD service function) so that non-face-to-face homing is possible by uploading exercise videos.

Therefore, through the comprehensive diet business model uploaded to the application by the fitness center, consumers can comprehensively manage high-quality product intake/product discount/diet progress, etc. You can experience improvement in member management/re-registration rate and decrease in dropout rate.

Example

The body composition analysis of the BIA method of the InBody check module 21 according to the present invention shows the body size (Your body) and the flow of body composition analysis for a week in the InBody check of the user through the InBody check module.

The body composition analysis of this BIA method measures the amount of muscle mass and body fat by measuring the body water by the electrical resistance value detected by passing a very weak current.

Because the body composition analysis of the BIA method may be slightly different depending on the case. For example, if you measure InBody after exercise, the muscle mass in the exercised area will be greater. The reason is that when you exercise and use your muscles, the body's water flows to the muscles in the area to supply energy. Therefore, it is necessary to continuously compare the InBody test.

The diet management module 11 provides a real-time healthy diet providing program that efficiently collects and analyzes customer data to provide a more accurate diet customized to customers so that they can make a rational choice.

Therefore, it collects and analyzes data efficiently, creates a database by generating the information entered by customers as big data, and then uses big data to provide customers with the propensity and status of each evicted customer first, and then based on the analysis results for each period. to provide a more accurate healthy diet by providing it through a change graph.

Example

In addition, according to the present invention, a diet necessary for the user and the points to be supplemented therewith may be provided as an application of the user in a fitness server or the like.

In addition, as an embodiment, the diet management module 11 proposes food to be consumed in menu units in consideration of the purchaser's personal information, goals, and needs, and generates smart diet information based on the correct menu-related information of the selected menu, and selects the selected menu. It is also possible to automatically select ingredients based on the unit products sold in the shopping mall and put them in the menu selection shopping cart and provide them.

In addition, the diet management module 11 derives a recommended menu based on the knowledge base of a previously selected menu among a plurality of dietary information according to health information, obtains a menu selected by the subscriber among the recommended menus, and selects ingredients of the selected menu (eg, chicken breast) ) and the ingredients to be purchased based on the ingredients stored in the refrigerator can be transmitted to the subscriber terminal located at a remote location.

In addition, the diet management module 11 includes a storage unit for storing food information for each date and food information to be taken care of by date; a comparison unit for comparing the diet information for each date and food information to be taken care of for each date based on the date; And as a result of comparison, it is possible to provide dietary information on a predetermined date.

In the case of non-face-to-face group exercise, the exercise VOD service module 22 detects the movement of the subject and compares the degree of similarity with the reference posture. can keep

Hereinafter, a marketing method using an O2O fitness network marketing system for the implementation of the present invention will be described in detail with reference to FIGS. 2 to 5 .

First, the fitness server 20 promotes the product to the customer terminal 30 through the SNS to store the promotional activity details.

In addition, the chef server 10 receives the order information of the product from the fitness server 20 or the customer terminal 30 and supplies the product according to the order information.

In addition, the customer terminal 30 uploads and stores product reviews in the fitness server.

And the chef server 10 pays a fee according to the order information to the fitness server (20).

Finally, the fitness server 20 transmits and stores the promotional activity information according to the product promotion to the chef server, and the chef server transmits the promotional activity feedback according to the promotional activity information to the fitness server 20 .

The promotional activity information is stored information of product promotion in the fitness center.

Among the PR activity feedback, the accumulated allowance details (A) are calculated by calculating sales (A1), total allowance (A2), basic allowance (A3), incentive allowance (A4), incentives (A5), etc. responsible (see Figure 2).

The chef server manages sub-sellers by dividing the seller terminal that promotes the product into new sellers or n-largest sellers.

As an incentive payment condition, the accumulated monthly sales (D1) and information on the remaining days of incentives (D2) are displayed through the monthly accumulated sales calculation module and the remaining incentive day calculation module (refer to FIG. 3 ).

In the present invention, the product is promoted to the customer terminal 30 through the SNS in the fitness server 20 to store the promotional activity details.

For this, SNS advertisements of registered fitness servers can be collected in real time, and promotional activity details can be stored.

The customer terminal 30 uploads and stores a product review for the SNS advertisement of the fitness server.

And the chef server 10 pays a fee according to the order information to the fitness server (20).

Alternatively, certain incentives may be paid for product reviews for SNS advertisements.

The fitness server is operated as a member system, and event services such as discounts and coupons can be used through active use of SNS between fitness companies and customers located in adjacent areas. It can also contain modules.

SNS activity on the SNS, as an example, various types of activities such as writing and saving, image uploading, conversation, online shopping, etc. on the online space allocated to the account, and linking with other SNS systems Compensation can be provided, and additional benefits are given when a registered member registers in a publicly known commercial SNS system and uploads SNS activities related to affiliates, for example, photos, introductions, reviews, etc. about affiliates will do

This is to provide a reward for the activity to the customer as the affiliated company is naturally promoted according to the customer's SNS activity.

The exercise VOD service module 22 includes a database forming unit for storing at least one VOD content, an upload unit for uploading at least one real-time content transmitted from the at least one real-time display terminal, and the at least one real-time content from the terminal. When any one of the real-time content is selected, the feedback on the exercise situation and respiration other than posture correction is transmitted when there is no great difficulty in the exercise movement or when the posture is taken correctly through the real-time content selected with the user data read by the terminal. It can be set, and similarly, it can be set to give feedback at regular intervals to set an environment similar to the actual training situation.

For example, in the case of a sequel to content (VOD files with the same title and different episode information can be determined as a sequel to the same content) with respect to newly updated VOD videos, the number of views exceeding the preset threshold is the previous VOD content. Points can be awarded based on the number of views of

In addition, if there is a request history of the user, the chef server 10 may give weights when calculating a score for determining the order of AI image learning for VOD images.

In addition, according to various methods, the chef server 10 may determine VOD content with high user interest, and thus may preferentially perform AI image learning on VOD content with high user interest.

As another example, preference data for VOD contents viewed and VOD contents viewed through over-the-top media (OTT) are collected, respectively, and the collected preference data are integrated to predict user-related VOD contents. By calculating a preference, VOD content may be recommended based on the calculated predicted preference.

The chef server 10 may acquire image information including the user by using the camera during the user's exercise.

Also, the chef server 10 may acquire sensing information measured during the user's exercise from the sensor device.

The chef server 10 may recognize whether the user's exercise posture is correct based on the obtained image information and/or sensing information, and may provide a posture correction guide according to the recognition result.

Meanwhile, the chef server 10 may store the user's exercise record (date, time, number, etc.) in the memory 170 or transmit it to the fitness server 20 .

The chef server 10 or the fitness server 20 may provide a notification to the customer terminal 30 to induce the user's exercise when the user does not exercise for a predetermined period based on the user's exercise record. have.

The recognition module of the chef server 10 may include an image analyzer for extracting a plurality of feature points related to the user's exercise posture from the exercise posture image.

For example, the image analyzer may extract a plurality of feature points including positions, heights, angles, and relative positions between body parts of the user from the exercise posture image.

The recognition module may include a recognizer for recognizing whether the user's exercise posture is correct from a plurality of feature points extracted by the image analyzer and sensing information received from the sensor device.

For example, the recognizer may include an artificial neural network (ANN) that is learned and built based on machine learning.

The machine learning may refer to a system that performs prediction based on empirical data and improves its own performance through learning.

Deep learning technology, which is a type of machine learning, learns by going down to a deep level in multiple stages based on data.

The artificial neural network may include an input layer, a hidden layer, and an output layer.

Each layer includes a plurality of nodes, and each layer is connected to the next layer.

In this way, nodes between adjacent layers may be connected to each other with a weight.

Each node may operate based on an activation model, and an output value corresponding to an input value may be determined according to the activation model.

For example, an output value of a node of a specific level layer may be input to a node of a next level layer connected to the node.

That is, the node of the next level layer may receive values output from the nodes of the previous level layer.

In this case, the input value of each node may be a value in which a weight is applied to the output value of the node of the previous level layer.

The weight may mean a connection strength between nodes.

The artificial neural network may extract feature information corresponding to each level by using the learned layer corresponding to each level.

The artificial neural network may sequentially abstract and recognize a predetermined object or detect a predetermined situation by using the highest level of feature information.

That is, the artificial neural network may output information having the highest weight among output values of the output layer as a recognition result or a detection result.

When it is recognized that the user's exercise posture is correct, the posture correction guide may include graphics, text, or voice indicating that the user's exercise posture is correct.

Meanwhile, when it is recognized that the user's exercise posture is incorrect, the posture correction guide may include a message (graphic, text, voice message, etc.) indicating that the user's exercise posture is incorrect. In addition, the posture correction guide may further include posture correction information for correcting a correct exercise posture.

According to an embodiment of the present invention, the screen output to the display of the in-body check module 21 may include weight information obtained by the weight measurement module, and external information including height and body shape obtained from the user's image.

Also, the displayed screen may include body composition information obtained by the body composition measuring module.

Also, the screen may include body shape management information (eg, customized exercise content, etc.) based on body shape information acquired for the user.

That is, the body shape management device electrically connected to the in-body check module 21 can effectively provide various types of body shape information for the user through the body shape measurement mode.

In addition, the body shape management apparatus may induce the user to effectively manage the body shape by providing body shape management information based on the user's body shape information.

In this way, health information, body composition information, and health change information, which have been analyzed by the user, are received and analyzed, and expert opinion information on the change in the user's body according to the analysis result can be generated and transmitted.

The present invention relates to a database forming unit for storing at least one VOD content, an upload unit for uploading at least one real-time content transmitted from the at least one real-time display terminal, and a real-time method of any one of the at least one real-time content from the display terminal. When content is selected, the display terminal may subscribe to the real-time content of the database conversion unit or the upload unit.

Alternatively, the feedback on exercise and breathing other than posture correction selected as the read user data can be set to be delivered when there is no great difficulty in exercise or when posture is taken correctly It can also be set to give feedback accordingly.

The fitness server 20 may receive and analyze the health information, body composition information, and health change information for which the user's analysis has been completed, and may generate and transmit expert opinion information on the change in the user's body according to the analysis result.

In the step of receiving the body composition measurement data through the application, the application of the dedicated web or app page receives the user's body composition measurement data from the main body of the InBody check module 21 attached to the chef server 10 .

As described above, the received body composition measurement data may be information obtained when the user's body is in contact with the two electrodes.

The application may calculate the user's body composition data based on the received body composition measurement data. For example, the application may calculate the user's impedance based on the current/voltage value flowing from the main body through the electrode, and calculate body fat, muscle mass, body water content, etc. therefrom.

Alternatively, the body may receive the user's body composition data calculated based on the body composition measurement data as the body composition measurement data.

In the step of determining the body type, the application may determine the user's body type based on the user's body fat calculated in the main body or the terminal.

The application may determine the user's body type in consideration of the user's height, weight, etc. previously input by the user through the terminal.

In addition, the application may determine the body type of the classification to which the user's body fat value belongs from among a plurality of body types classified according to the body fat value in advance, and determine it as the user's body type.

The plurality of body types classified according to the body fat value, etc. are muscular type (body type with high muscle mass and low body fat mass), obese type (body type with low muscle mass and high body fat mass), normal body type (body type with body weight and body fat percentage in the normal range), lean obese type ( It can be classified into a low body weight but a high body fat percentage), a skinny body type (a body with a low body weight and a low body fat percentage), and the like.

Also, the types of body types classified according to the user's gender may be different.

The in-body check module 21 includes dual energy x-ray absorptiometry (DEXA), magnetic resonance imaging (MRI), bioelectrical impedance analysis (BIA), and multi-frequency segmental bioelectrical impedance ), but is not limited thereto, and may be a variety of devices capable of measuring a user's body composition.

Meanwhile, the in-body check module 21 may store the measured body composition information of the user and then transmit it to the health care device according to the request of the health care device, and may transmit the measured body composition information in real time using a wired/wireless network.

The in-body check module 21 may receive body composition information, and may generate a personalized health care program by analyzing the received body composition information and characteristic information.

For example, the in-body check module 21 may determine the user's body type from the degree of imbalance of the received body composition information.

According to an embodiment, the in-body check module 21 may analyze the user's body composition information and characteristic information, determine the user's muscle loss degree, and provide a personalized health management program to the user based on this.

For example, the InBody check module 21 selects a standard health management program from the health management server or health management program DB based on the user's muscle loss degree, and adjusts the selected health management program to create a personalized health management program Thus, it can be provided to the user.

The in-body check module 21 of this embodiment may be mounted in the form of a hardware or software module in a wearable device, a smart phone, a terminal such as a tablet PC, a desktop PC, a notebook PC, or a medical device such as a blood pressure measuring device.

In addition, the in-body check module 21 may be implemented as an independent hardware device, and is not limited thereto and may be classified as a separate device.

In this case, the information collection unit and the processing unit of the in-body check module 21 may include one or more processors and memories, and may be implemented as one or more modules by a combination thereof.

The information collection unit may collect user information as basic information for generating a personalized health management program for the user.

In this case, the user information may include body composition information and characteristic information of the user. For example, the user's body composition information may include one or more of a muscle mass, a body fat mass, a body water amount, and a BMI index, and the characteristic information may include muscle strength and physical performance. , gender, age, height, weight, and health status information.

The analyzer may analyze the collected user body composition information and characteristic information to classify the degree of muscle loss of the user in stages.

Here, the step-by-step classification may be based on the user's body composition information, and when the user's muscle mass is less than the average muscle mass for each age, the user's muscle loss degree may be classified into stages according to the degree of underperformance.

Also, the present invention is not limited thereto, and the degree of muscle loss of the user may be classified based on at least one of a user's muscle mass, muscle strength, and physical performance.

For example, the analysis unit of the InBody check module 21 determines that the user's muscle mass is less than or equal to the average muscle mass for each age, and the muscle strength and physical ability are within the normal range, and the user's muscle loss degree is determined as presarcopenia, If the user's muscle mass is less than or equal to the average muscle mass by age, and any one of muscular strength or physical ability falls within the range below normal, the user's muscle loss is determined as sarcopenia, and the user's muscle mass is less than or equal to the average muscle mass by age, and If the , muscular strength and physical ability fall within the sub-normal range, severe sarcopenia can be determined.

As another example, the analysis unit may determine the degree of muscle loss and the degree of obesity together based on a ratio of the user's muscle mass to body fat mass.

For example, the analysis unit determines that the degree of muscle loss of the user is greater than or equal to presarcopenia, and when the ratio of muscle mass to body fat exceeds a predetermined ratio (eg, 'muscle mass: body fat mass = 2:1'), The degree of muscle loss of the user may be determined as sarcopenic obesity.

As another embodiment, the electrode unit for measuring the body composition of the subject; a weight measurement unit for recognizing the weight of the subject; a display unit for displaying a body composition measurement result; and an impedance measuring unit measuring an impedance value of a human body using the electrode unit.

A single input element for measuring a body composition value, comprising: an input unit for receiving a height value; a body composition measuring unit measuring a body composition value of the subject using the weight value measured by the weight measuring unit, the impedance value measured by the impedance measuring unit, and the height value input from the input unit; and a control unit controlling the display unit so that, when the input unit is manipulated, the height value displayed on the display unit is adjusted from a default value.

When the difference between the received data and the single stored data is within an allowable range, the management unit of the in-body check module 21 may directly update the user's biometric information to the stored data.

For example, when the difference between the value included in the received data and the value included in the single stored data is within an allowable range, the management unit for at least one of a height value, a weight value, an impedance value, and a body composition value, the user biometric information can be updated directly to the single stored data.

However, for at least one of a height value, a weight value, an impedance value, and a body composition value, when there is a plurality of stored data in which a difference between a value included in the received data and a value included in the stored data is within an allowable range, the management unit information on the stored data of the user may be provided to the user, and the user's biometric information may be updated in the stored data selected by the user.

That is, when the difference between the received data and each of the plurality of stored data is within an allowable range, the management unit provides information on the plurality of stored data to the user, and updates the user's biometric information to the stored data selected by the user. can

In addition, the management unit for at least one of a height value, a weight value, an impedance value, and a body composition value, when there is no stored data in which the difference between the value included in the received data and the value included in the stored data is within the allowable range, Biometric information can be checked using the device's unique number.

That is, when the difference between the received data and the stored data is out of the allowable range, the management unit provides the user with information about the stored data including the received device-specific number and the same device-specific number, and provides the user with the stored data selected by the user. You can update the user's biometric information.

As an embodiment, when the chef server 10 runs an application for O2O marketing service using artificial intelligence recommendation through the customer terminal 30, movement distance and behavior pattern, order pattern, order area information, serving time, number of orders It can analyze trends, preferred food colors, food calories and health status, and perform artificial intelligence analysis and recommendations based on genetic information analysis and message analysis.

In addition, the chef server 10 includes the steps of collecting information about the visitor's behavior pattern based on the location of at least one visitor in the offline store; quantifying the collected information about the visitor's behavior pattern; providing information about the quantified visitor's behavioral pattern to an advertiser; providing an advertisement of the advertiser by targeting the visitor's mobile device; and providing a certain percentage of the advertisement fee received from the advertiser to the offline store, wherein the information on the behavioral pattern of the visitor includes the number of times the visitor visits the offline store, the intention to purchase the product in the offline store, and the purchase history. Including, the intention to purchase the product of the offline store, based on the number of visits of the visitor and the time spent in the product, is classified into a recognition stage, an interest stage, and a consideration stage.

10 : Chef Server
20: Fitness Server
30: customer terminal

Claims (8)

A fitness server 20 for storing promotional activity details by promoting the product to the customer terminal 30;
a chef server 10 receiving the order information of the product from the fitness server 20 or customer terminal 30 and supplying the product according to the order information;
Including; and a customer terminal 30 for uploading and storing product reviews to the fitness server.
The chef server 10 pays a fee according to the order information to the fitness server 20, and the chef server 10 provides feedback on promotional activities for promotional activity information according to the product promotion to the fitness server 20; forward to,
The chef server 10 includes a diet management module that provides information on calories consumed and calories consumed according to a diet after purchasing a specific food;
The chef server provides a certain percentage of sales (A1), total allowance (A2), basic allowance (A3), incentive allowance (A4), and incentive (A5) as PR activity feedback (A) through the accumulated allowance history module do,
The body composition analysis of the BIA method of the InBody check module 21 included in the fitness server 20 shows the body size (Your body) and the flow of body composition analysis for a week in the InBody check of the user through the InBody check module,
If the difference between the received data and the single stored data is within the allowable range, the management unit of the in-body check module 21 directly updates the user's biometric information to the stored data,
The meal management module 11 included in the chef server 10 proposes food to be consumed in menu units in consideration of the buyer's personal information, goals, and needs, and generates smart meal information based on the correct menu-related information of the selected menu. In addition, the ingredients for the selected menu are automatically selected based on the unit products sold in the shopping mall and placed in the menu selection shopping cart and provided.
The exercise VOD service module 22 included in the fitness server 20 includes a database forming unit that stores at least one VOD content, an upload unit that uploads at least one real-time content transmitted from the at least one real-time display terminal, and the When the display terminal selects any one of the at least one real-time content, it is set to give feedback on the exercise situation other than posture correction and respiration through the real-time content selected as user data read by the display terminal,
The recognition module included in the chef server 10 includes an image analyzer that extracts a plurality of feature points related to the user's exercise posture from the exercise posture image,
The recognition module O2O fitness network marketing system, characterized in that it comprises a plurality of feature points extracted by the image analyzer, and a recognizer for recognizing whether the user's exercise posture is correct from the sensing information received from the sensor device.
The method according to claim 1,
The chef server 10 generates a QR code and scans it, generates a dedicated code and delivers it to the customer terminal 30, a QR code module for receiving a discount through this;
O2O fitness network marketing system comprising a; in-body check module showing the body size (Your body) and the flow of body composition analysis for a week in the user's In-Body check through the body composition analysis of the BIA method.
delete The method according to claim 1,
The fitness server 20 includes: an exercise VOD service module for uploading an exercise image in the corresponding fitness center to provide an exercise VOD service so that non-face-to-face homing is possible; a database conversion unit for storing at least one VOD content; and an upload unit for uploading at least one real-time content transmitted from at least one real-time display terminal, wherein when the real-time display terminal selects any one real-time content from among the at least one real-time content, the display terminal O2O fitness network marketing system, characterized by subscribing to the real-time content of the database conversion unit or upload unit.
In the fitness server 20 through the SNS to promote the product to the customer terminal 30 to store the promotional activity details;
receiving the order information of the product from the chef server 10 from the fitness server 20 or the customer terminal 30 and supplying the product according to the order information;
Customer terminal 30 uploading and storing product reviews in the fitness server;
The step of the chef server 10 paying a fee according to the order information to the fitness server 20;
The fitness server 20 transmits and stores the promotional activity information according to the product promotion to the chef server, and the chef server transmits the promotional activity feedback according to the promotional activity information to the fitness server 20; includes,
The chef server 10 includes a diet management module that provides information on calories consumed and calories consumed according to a diet after purchasing a specific food;
The chef server provides sales (A1), total allowance (A2), basic allowance (A3), incentive allowance (A4), and incentives (A5) through the cumulative allowance history module of the chef server,
The body composition analysis of the BIA method of the InBody check module 21 included in the fitness server 20 shows the body size (Your body) and the flow of body composition analysis for a week in the InBody check of the user through the InBody check module,
If the difference between the received data and the single stored data is within the allowable range, the management unit of the in-body check module 21 directly updates the user's biometric information to the stored data,
The meal management module 11 included in the chef server 10 proposes food to be consumed in menu units in consideration of the buyer's personal information, goals, and needs, and generates smart meal information based on the correct menu-related information of the selected menu. In addition, the ingredients for the selected menu are automatically selected based on the unit products sold in the shopping mall and placed in the menu selection shopping cart and provided.
The exercise VOD service module 22 included in the fitness server 20 includes a database forming unit that stores at least one VOD content, an upload unit that uploads at least one real-time content transmitted from the at least one real-time display terminal, and the When the display terminal selects any one of the at least one real-time content, it is set to give feedback on the exercise situation other than posture correction and respiration through the real-time content selected as user data read by the display terminal,
The recognition module included in the chef server 10 includes an image analyzer for extracting a plurality of feature points related to the user's exercise posture from the exercise posture image,
The recognition module is a marketing method using an O2O fitness network marketing system including a plurality of feature points extracted by the image analyzer and a recognizer for recognizing whether the user's exercise posture is correct from the sensing information received from the sensor device.
delete 6. The method of claim 5,
Marketing method using the O2O fitness network marketing system, characterized in that it further comprises; dividing the seller terminal for product promotion by the chef server into new sellers or n-largest sellers to manage sub-sellers.
6. The method of claim 5,
Displaying, by the chef server, the accumulated monthly sales amount (D1) through the monthly accumulated sales calculation module and the remaining incentive day information (D2) through the incentive remaining day calculation module as incentive payment conditions; characterized by further comprising: Marketing method using O2O fitness network marketing system.

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