KR102024722B1 - System and Method for Marketing Online To Offline based on Artificial Intelligence Recommendation - Google Patents

Abstract

The present invention relates to a system and a method for online-to-offline (O2O) marketing using artificial intelligence recommendation which increase efficiency of customer convenience and marketing management by product recommendation using orderer sensibility information and registration gene information by SNS message analysis for O2O marketing. The system for online-to-offline (O2O) marketing using artificial intelligence recommendation comprises: a user terminal which has an application for an O2O marketing service loaded therein, performs input of information for use of the O2O marketing service, provision of SNS data for sensibility analysis, and provision of gene information, and performs order reservation and payment by recommendation information received via an O2O marketing management server; an O2O marketing management server to manage and provide the application for the O2O marketing service, store customer and member store information, perform artificial intelligence analysis and recommendation based on member use history management, gene information analysis, and message analysis, and perform order processing and payment; and a member store terminal which has the application for the O2O marketing service loaded therein, performs input of information for use of the O2O marketing service, verification of order reservations received via the user terminal, and delivery management, and performs payment processing.

Description

System and Method for Marketing Online To Offline based on Artificial Intelligence Recommendation}

The present invention relates to O2O (Online To Offline) marketing. Specifically, O2O marketing using artificial intelligence recommendation that enhances convenience and marketing management efficiency of customers by recommending products using orderer's emotion information and registered gene information through SNS message analysis. A system and method for the same.

Office workers who eat out more than once a day have difficulty grasping information about restaurants that cannot be delivered, and it takes at least 2 to 30 minutes to go to restaurants to order food and eat. It is difficult to secure a relaxing meal time.

In particular, it is difficult to find a restaurant that can eat as fast as the number of people within the earliest time because it is impossible to grasp information on the features and tastes of the menu other than the restaurants that are frequently visited, and the status of the restaurants to go to in real time.

In addition, there is a customer who wants non-face-to-face service because it is burdensome to eat alone or to talk with the staff.

In order to solve such problems, the development of an application that provides an O2O (online to offline) based food delivery order function has been actively made and spread.

O2O marketing (Online-to-Offline Marketing) refers to marketing that attracts customers to offline stores by connecting online and offline stores through the Internet or smart phones.

However, in the case of a food delivery order application provided by a recently developed delivery application service company, there is a problem that online order reception and settlement information is not properly associated with a point-of-sales system in an offline restaurant. It is complaining of considerable inconvenience in operation.

In addition, consumers are undermined due to the flooding of similar APPs and the difference in quantity and quality of information provided by APP types. As a result, it is reflected to consumers as food prices rise and service quality deteriorates, thereby limiting the implementation of true O2O services such as consumer complaints and complaints of delivery.

In addition, the consumption patterns and desires of individuals according to personal preferences and circumstances, age, etc., such as the increase of one-person households, the spread of smartphones, and the expansion of private users, are diversified. Due to the limitation of model discovery, O2O service such as reservation / takeout order through smartphone application is not yet activated, and in particular, the development of service that can be provided when using offline restaurants is insufficient, and the restaurant-related O2O market is delivered. The app's focus is on consumer satisfaction.

Currently, some coffee shops and fast food restaurants use pre-order payment smart order systems, but due to the nature of the franchise, they do not offer products or services that differ by individual stores.

Therefore, there is a demand for the development of a new technology that can improve the convenience of customers and the efficiency of marketing management, to develop the balance of eating out culture and pursue the qualitative improvement of restaurants that meet various tastes of customers by pioneering the path of general restaurants. .

Republic of Korea Patent Publication No. 10-2018-0079110 Republic of Korea Patent Publication No. 10-2017-0097857

The present invention is to solve the problems of the prior art O2O (Online To Offline) marketing, artificial intelligence that improves the convenience of customers and the efficiency of marketing management by recommending products using orderer sentiment information and registered gene information through SNS message analysis Its purpose is to provide a system and method for marketing O2O using recommendations.

The present invention allows the office workers to go to the restaurant to reduce the unnecessary time required to eat, travel time, the menu and cooking time of the restaurant in advance through the application and using the artificial intelligence recommendation to enable the pre-order payment Its purpose is to provide a system and method for O 2 O marketing.

The present invention is based on the customer sentiment information and registered genetic information through the SNS message analysis through the artificial intelligence analysis of the customer's preferred food type, calories and exercise amount, drinking status, etc. The purpose of the present invention is to provide a system and method for O 2 O marketing using artificial intelligence recommendation that can be increased.

The present invention is O2O marketing using the artificial intelligence recommendation to make the ARS smart phone app to run immediately when the customer makes a phone call, and to build a customized service to remember the order pattern of the customer to order even if the words are short words It is an object of the present invention to provide a system and method.

The present invention allows the user to directly check the menu and customer reviews, such as delivery of food, and ordered by touching the app, if there is a complaint connected to the call center, the artificial intelligence recommendation to provide a pre-order payment O2O service including the configuration that is processed The purpose of the present invention is to provide a system and method for O 2 O marketing.

The present invention provides a restaurant on the offline base with the convenience of time to the busy modern people through the new concept 020 service that can check the menu directly with the ARS, which calls when ordering, and checks the seat according to the cooking time and the number of people. The aim is to provide a system and method for O2O marketing using artificial intelligence recommendation that can help to find a way to operate the economic interests of small businesses.

The present invention is a customized O2O marketing service, the service provider can obtain new customers, increase the loyalty of existing customers, profits, such as advertising and fees, service users are not limited by time and space, convenience, economic benefits, service use The purpose of the present invention is to provide a system and method for O 2 O marketing using artificial intelligence recommendation that has an effect of improving satisfaction on preferential application.

The present invention is an artificial intelligence recommendation to increase the convenience of the user and the convenience of accounting management of the owner by issuing an electronic receipt at the time of order payment consisting of product recommendation using the orderer sentiment information and registered gene information through SNS message analysis The purpose of the present invention is to provide a system and method for O 2 O marketing.

The present invention before and after the event by making a recommendation through the artificial intelligence analysis in the restaurant search and recommendation, menu recommendation for small meals and small meals, such as family units, and providing a route to order reservation restaurants and guided nearby attractions The purpose of the present invention is to provide a system and method for O 2 O marketing using artificial intelligence recommendation that can help to prepare the time schedule of the system.

Other objects of the present invention are not limited to the above-mentioned objects, and other objects not mentioned will be clearly understood by those skilled in the art from the following description.

System for O 2 O marketing using artificial intelligence recommendation according to the present invention for achieving the above object is equipped with an application for O 2 O marketing service, providing SNS data for input of information, emotion analysis for using O 2 O marketing service A user terminal for providing genetic information and performing order reservation and payment through recommendation information provided through an O2O marketing management server; managing and providing an application for O2O marketing service, and storing customer and merchant information; O2O marketing management server that performs AI analysis and recommendation, orders processing and payment based on subscriber usage history management, genetic information analysis and message analysis; and loads applications for O2O marketing service and uses O2O marketing service. Receive information through user terminal Characterized in that it comprises a; merchant terminal to confirm the order reservation and delivery management and to process the payment.

The user terminal may include an SNS data providing unit providing SNS data used as basic data for user emotion analysis, an order reservation and payment processing unit performing order reservation and payment processing according to O 2 O marketing service using artificial intelligence recommendation; Electronic receipt management unit for managing the electronic receipt according to the order reservation and payment, and a movement path providing unit for providing the location and movement information when moving according to the user's order reservation, and displays the route to the merchant after the order reservation; , A genetic information management unit for managing the genetic test information received from the genetic testing institute by the user's selection for health management.

The genetic information of the user managed by the genetic information management unit is provided to the O2O marketing management server when the service mode selected by the user is the health check mode or the diet mode, and the genetic information provided to the O2O marketing management server is analyzed after the user gene type analysis. The O2O marketing management server is characterized in that it is deleted without being stored.

In addition, the order reservation and payment processing unit selects a desired time zone and registers it in advance, and recommends a menu of affiliated restaurants in the designated area before the designated time by the O2O marketing management server, and selects a suitable food menu for the weather and biorhythm. Sending a notification message to the user terminal recommending the notification message management unit for displaying the notification message to the user, the service satisfaction evaluation to evaluate the service satisfaction of the merchant used by the user, and to check the cumulative service satisfaction evaluation results and When the user installs and registers the application by recommending another user and confirming the user, a certain point is paid to the introduced user about the service usage fee of the introduced user, and the points received can be used at the merchant within a specified period. Weight And a thousand point manager.

And O2O marketing management server, subscriber usage history management unit for managing service usage history through O2O marketing service using artificial intelligence recommendation, and check the gene type by analyzing the gene information provided by the user's selection based on the gene type Genetic information analysis unit for generating matching information for recommending the appropriate food to the user, and through the user terminal to analyze the message data exchanged with the user and others through the user terminal based on the user's emotional information at the time of order reservation The message analysis unit generates matching information for recommending foods, and provides artificial intelligence for user distance and behavior patterns, order patterns, order region information, weekly time slots, order number trends, preferred food colors, food calories and health status. Analysis through the user and based on the analysis result And an artificial intelligence analysis and recommendation unit for outputting the recommended restaurant and food menu matching information by reflecting type and emotion information.

The genetic information analyzer may be configured based on an allergic reaction to a particular food ingredient according to a service mode selected by a user from a genetic information acquirer provided through a user terminal by a user's selection and a genetic information obtained through the genetic information acquirer. A gene type identification unit for identifying a diet gene and genotype related to one gene type identification or diet, and a gene type based matching information generation unit for outputting matching information according to the gene type identified in the gene type identification unit; .

The message analyzing unit separates the emoticon and the text from the message provided through the user terminal, separates the text into morphological units, determines a part-of-speech of the separated morphemes, and performs syntax analysis to estimate the meaning of the terms, thereby pre-processing for keyword extraction. A message preprocessing unit configured to extract the at least one emotional keyword matching the emotion by calculating a use ratio and a matching ratio of the words preprocessed by the message preprocessor, and an emotional keyword extracted by the emotional keyword extracting unit Emotional keyword-based matching information generation unit for outputting matching information on the basis of the.

In addition, the artificial intelligence analysis and recommendation unit, the movement distance and behavior pattern analysis unit for analyzing the user's moving distance and behavior pattern and outputs the analysis result of the average error distance between the average moving distance and the reservation time for a meal, and the user's O2O Order pattern analysis unit to analyze the order pattern based on the usage history using the marketing service, order region information analysis unit to analyze the order region information mainly using the O2O marketing service of the user, and order time zone to analyze the order time zone mainly used The ordering unit trend analysis unit that analyzes the average number of people eating together by tracking the O2O marketing service usage history for a certain period, and the image of food ordered by tracking the history of O2O marketing service usage for a certain period. Analyze your favorite food color by analyzing Food color analysis unit, food calorie and health analysis unit to analyze the daily average calories of food ordered for a certain period of time and health information provided with the user's consent, travel distance and behavior pattern, order pattern, order region information And an analysis result matching recommendation part that outputs the recommended restaurant and food menu matching information by reflecting the emotion information of the current order point based on the weekly time slot, order number trend, preferred food color, food calories, and health condition analysis result. It features.

The method for O 2 O marketing using the artificial intelligence recommendation according to the present invention for achieving another object is when the user's order reservation request is made through the application for O 2 O marketing services, the user's moving distance and behavior patterns to analyze the meal Analyzing the average moving distance and the average error degree of the reservation time and arrival time for; Analysis of the order pattern based on the user's history using the O2O marketing service, Analysis of the order area information mainly used; Order mainly used Analyzing the time period, analyzing the average number of people dining together; Tracking the history of O2O marketing service usage for a certain period of time and analyzing the image of the food ordered by the user to analyze the food color preferred by the user Health status information provided with your consent and Analyzing daily average calories of food ordered over a period of time; including the distance and behavior pattern, order pattern, order region information, weekly time zone, order number trend, preferred food color, food calories and health status And outputting the recommended restaurant and food menu matching information by reflecting the emotion information of the current order point as a reference.

The system and method for O 2 O marketing using artificial intelligence recommendation according to the present invention as described above has the following effects.

First, it improves the convenience of customers and the efficiency of marketing management by recommending products using orderer's emotion information and registered gene information through SNS message analysis.

Second, the workers to go to the restaurant to reduce the unnecessary time required to eat, the travel time, the menu and cooking time of the restaurant in advance through the application to enable the pre-order payment.

Third, through artificial intelligence analysis based on orderer's sentiment information and registered genetic information through SNS message analysis, restaurants and menus are recommended according to checked information such as food type, calories and exercise amount, and drinking status that customers prefer. To be able.

Fourth, the ARS smartphone app that is visible when the customer makes a phone call can be executed immediately, and the customer service pattern can be stored to build a customized service so that the order can be spoken even by using a short word.

Fifth, it is possible to directly check the menu and customer reviews, such as delivery of food, and ordered by touching the app, if there is a complaint can be provided in advance order payment O2O services including the configuration that is processed in connection with the call center.

Sixth, a new concept 020 service that allows users to check the menu directly with the ARS that calls when ordering, check the seats according to the cooking time and the number of people, and make payments in advance. To help small businesses find a path to economic benefits.

Seventh, with customized O2O marketing services, service providers can earn new customers, increase existing customers' loyalty, earn advertisements and fees, etc., and service users can enjoy convenience, economic benefits, and preferential use of services. It has the effect of improving the satisfaction with the application.

Eighthly, it is possible to increase the convenience of the user and the convenience of the owner's accounting management by issuing an electronic receipt at the time of order settlement consisting of product recommendation using the orderer's emotion information and registered gene information through SNS message analysis.

Ninth, search and recommend restaurants for small meals and small groups such as family units, make recommendations through artificial intelligence analysis when recommending menus, and provide travel routes to ordered restaurants and guide tourist attractions before and after the event. This can help you create a time schedule.

1 is an overall configuration diagram for O 2 O marketing using artificial intelligence recommendation in accordance with the present invention
2 is a block diagram of a system for marketing O 2 O using artificial intelligence recommendation according to the present invention
3a is a detailed configuration diagram of a user terminal according to the present invention;
Figure 3b is a detailed configuration of the order reservation and payment processing unit of the user terminal
4 is a configuration diagram showing an example of an electronic receipt issuance
Figure 5a is a detailed configuration of the O2O marketing management server according to the present invention
Figure 5b is a detailed configuration of the order processing and payment management of the O2O marketing management server
6 is a detailed configuration diagram of an affiliated store terminal according to the present invention;
7 is a detailed configuration diagram of the genetic information analysis unit
8 is a detailed configuration diagram of the message analysis unit
9 is a detailed configuration diagram of the artificial intelligence analysis and recommendation unit
10A and 10B are flowcharts illustrating a method for marketing O 2 O using artificial intelligence recommendation in accordance with the present invention.

Hereinafter, a preferred embodiment of a system and method for O 2 O marketing using artificial intelligence recommendation according to the present invention will be described in detail.

Features and advantages of the system and method for O 2 O marketing using artificial intelligence recommendation in accordance with the present invention will become apparent from the detailed description of each embodiment below.

1 is an overall configuration diagram for marketing O 2 O using the artificial intelligence recommendation according to the present invention.

System and method for O2O marketing using artificial intelligence recommendation according to the present invention, the customer can grasp the advance information about the menu, hygiene status, location, etc. of the general restaurants, not the delivery-oriented, through the application, the order and payment in advance It allows customers to go and eat directly, reducing time wasted for customers, benefits of non-face-to-face service, and increased seat turnover and no-show prevention for restaurants.

In addition, when a database based on a customer's preferred food and taste is accumulated, a restaurant franchise owner who wants to use it may be charged to advertise an affiliate fee and brand promotion and advertisement to generate revenue.

Such a system and method for O 2 O marketing using artificial intelligence recommendation according to the present invention may include a configuration for product recommendation by reflecting orderer's emotion information and registered gene information through SNS message analysis.

The present invention is to configure a restaurant and menu recommendation according to the checked information such as food type, calorie and exercise amount, alcohol consumption by the customer through artificial intelligence analysis based on the orderer's emotion information and registered gene information through SNS message analysis It may include.

The present invention may include a configuration that allows the ARS smart phone app to be executed immediately when a customer makes a phone call, and to provide a customized service so that an order can be made even by saying a short word by remembering an order pattern of the customer.

The present invention may include a configuration for increasing the convenience of the user and the convenience of accounting management of the business owner by issuing an electronic receipt when the order settlement made of the product recommendation by artificial intelligence analysis.

The present invention before and after the event by making a recommendation through the artificial intelligence analysis in the restaurant search and recommendation, menu recommendation for small meals and small meals, such as family units, and providing a route to order reservation restaurants and guided nearby attractions It can include a configuration to help you create your own time schedule.

In particular, the present invention can receive food information for calorie, exercise amount, stress amount, heart rate, etc. of the customer who has agreed to provide personal information, and can recommend foods that are helpful for health management. It may include a configuration to enable health care by recommending.

The overall configuration for O 2 O marketing using the artificial intelligence recommendation according to the present invention is as shown in Figure 1, the individual customer to subscribe to the O 2 O marketing service using the artificial intelligence recommendation by inputting basic information and additional information using a personal smart device For example, the affiliated owner enters basic information and additional information through the affiliated PC or smart device to subscribe to O2O marketing service using artificial intelligence recommendation, and receives O2O marketing service using artificial intelligence recommendation.

O2O marketing service using artificial intelligence recommendation recommends merchants (restaurants) and menus based on member information and history, recommends additional service benefit information linked to selected restaurants, and provides customized information based on customer preferences and frequency of movement. Includes services such as providing health care information by nutritional standards.

In addition, through O2O marketing service using artificial intelligence recommendation, based on GPS location tracking, data is classified within a certain distance (for example, within 1km) around the user, and automatic advertisement exposure, recommendation information by category and personal preference according to user selection. And provide event information to benefit individual customers and merchants.

The minimum fee for the customer to the restaurant owners subscribed to the O2O marketing service using the artificial intelligence recommendation according to the present invention, if the customer booked in advance at the restaurant using the app and payment is made through a certain fee You can build a structure.

If such a customer database is sufficiently built, the restaurant merchants may be charged an advertisement fee when commissioning affiliate fees, program fees, and event advertisements, and configurations and items for implementing a revenue structure are not limited thereto.

In the following description, the execution of the application for the O 2 O marketing service using the artificial intelligence recommendation may include running the application with an ARS that makes a phone call in addition to the direct execution of the application.

Referring to the system for marketing O 2 O using the artificial intelligence recommendation according to the present invention in detail.

2 is a block diagram of a system for marketing O 2 O using artificial intelligence recommendation according to the present invention.

The system for O 2 O marketing using artificial intelligence recommendation according to the present invention is largely composed of user terminals 100, affiliated store terminal 300 and O 2 O marketing management server 200 subscribed to O 2 O marketing service using artificial intelligence recommendation. .

The user terminal 100 is equipped with an application for O 2 O marketing service using the artificial intelligence recommendation, input basic information and additional information, provide SNS data for emotional analysis, provide genetic information, O2O marketing management server 200 Order reservation and payment through the recommendation information provided through).

The O2O marketing management server 200 manages and provides an application for O2O marketing service using artificial intelligence recommendation, stores customer and merchant information, manages user usage history, analyzes genetic information, and analyzes messages based on artificial intelligence. Intelligent analysis and recommendation, order processing and payment.

And the merchant terminal 300 is equipped with an application for the O2O marketing service using the artificial intelligence recommendation, input basic information and additional information, confirm the order reservation received through the user terminal 100 and manage delivery and payment Do the processing.

The detailed configuration of the user terminal 100 is as follows.

3A is a detailed configuration diagram of a user terminal according to the present invention, and FIG. 3B is a detailed configuration diagram of an order reservation and payment processing unit of the user terminal.

4 is a diagram illustrating an example of an electronic receipt issuance.

As shown in FIG. 3A, the user terminal 100 includes an application execution unit 31 for executing an application for O 2 O marketing service using onboard AI recommendation, a name, an address, a date of birth, a job, a contact, an email, an anniversary, Basic information input unit 32 for inputting basic information such as payment information, SNS subscription information, workplace and home area information, information necessary for analyzing personal preferences such as preference food and health information, analysis index data and card through basic survey And additional information input unit 33 for inputting additional information such as payment method selection information such as account and point payment, recommender, and user selection, and SNS data providing SNS data used as basic data for user's emotional analysis. Study (34), the order reservation and payment processing unit 35 for order booking and payment processing according to O2O marketing services using artificial intelligence recommendation, user convenience and attention Electronic receipt management unit 36 that manages electronic receipts to increase the convenience of accounting management, and the movement to provide the location and movement information during the movement according to the user's order reservation, and to display the movement route to the merchant after order reservation The path providing unit 37 and the genetic information management unit 38 for managing the genetic test information received from the genetic testing institute by the user's selection for health management such as diet.

Here, the SNS data provided through the SNS data providing unit 34 is a message data exchanged with the user and others through the user terminal 100 and a message which can infer the emotion of the user except for the contents of the advertisement message. Data.

The SNS data provided through the SNS data providing unit 34 may be provided based on a repeated keyword, and the message production period provided may be set within 2 hours before the order reservation point or the entire day, etc. It is desirable to provide an accuracy of the sensitivity analysis.

This is because the user's sensitivity at the time of order reservation is important.

The genetic information stored in the genetic information management unit 38 is provided to the O2O marketing management server 200 according to the service mode selected by the user, and the genetic information provided to the O2O marketing management server 200 is analyzed after the user gene type analysis. In the O2O marketing management server 200 is preferably stored without being deleted.

The service mode selected by the user may be divided into a normal mode, a health check mode for determining a food menu to be avoided according to a health food selection, a health condition, a diet mode for adjusting a diet, and the like.

If the service mode selected by the user is the normal mode, the genetic information may not be provided to the O2O marketing management server 200.

In addition, the travel path providing unit 37 not only provides a travel path to the order-reserved restaurant, but also provides a guide to surrounding attractions during restaurant search and recommendation and menu recommendation for small meals and small meals such as family units. This can help you create a time schedule.

User terminal 100 according to the present invention is a notification message processing according to the order reservation and payment processing, stick-type message (advertisement) processing, service satisfaction evaluation and confirmation, automatic payment processing, recommendation point management, food ingredients information confirmation and detailed orders In order to process the history and provide food information through experts may include the following configuration.

The detailed configuration of the order reservation and payment processing unit 35 of the user terminal 100 is as follows.

As shown in FIG. 3B, when a user selects a desired time zone (weekday lunch and dinner) and registers in advance, the O2O marketing management server 200 recommends a menu of affiliated restaurants in a predetermined area before a designated time, and the weather And a notification message management unit 35a for displaying a corresponding notification message to the user terminal 100 when a notification message recommending a suitable food menu suitable for biorhythm is displayed to the user, and evaluating the service satisfaction level of the affiliated store used by the user, Service satisfaction evaluation and confirmation unit (35b) that allows you to check the result of the service satisfaction evaluation, and when the user recommends another user to install and register the app to the user who introduced the service usage fee of the introduced user Points are paid and the points received can be used at merchants within the designated period. Recommended point management unit (35c) for the menu, the calories, main raw material content, and country of origin information for each food developed and provided by the merchant so that the user can check directly, and order details of the food so that the user can order Combining health recommendation messages from experts (doctors, oriental medical doctors, food nutritionists, etc.) to provide food ingredient information and input detailed order history input unit (35d) to enter the user and the food information developed and provided by the merchant owner It includes a professional food information providing unit (35e) to enable and to select a professional by using a health table expert POOL.

The present invention can provide the following services through the notification message management unit 35a.

If the user pre-registers the 'event' (weekday lunch and dinner) time zone through the application for the O2O marketing service, the application for the O2O marketing service will send the user an AI recommendation before the event (eg 30 Minutes ago)) recommends the menu of the affiliated restaurant within the setting area (for example, 3km radius), and sends a notification message to the user terminal 100 recommending a suitable food menu suitable for the weather and biorhythm, and the user approves it. Data about whether or not to be rejected may be stored to provide an optimized notification message for selective recognition considering the user's choice later.

In addition, in the process of being processed by each guide message through the ARS that the user makes a phone call, a stick-type message (advertising window) is displayed on the screen of the user terminal for convenience of the user's selection. .

For example, the selected advertisement may be provided for about 5 seconds immediately after the user selects the food menu that he or she has contemplated.

In addition, the present invention can provide the following services through the service satisfaction evaluation and confirmation unit 35b.

When the user visits the selected restaurant in person, if the user's location-based information is near to the merchant (0.5 ~ 1km), the user's arrival notification message can be checked through the application, and a notification message that the user has arrived at the merchant When clicked, the service usage time is recorded. When the service is completed, the user can click the completion button to make a satisfaction evaluation on the user application screen.

The user satisfaction evaluation data is automatically analyzed, so that merchants can check eCRM (Electronic Customer & Relationship Management) statistical information.

In addition, in evaluating the service satisfaction of the merchant used by the user, the evaluation result can be directly checked through the app installed on the merchant's mobile phone or the PC registered with the merchant, and the individual ranking by this evaluation is monthly and period user accounts. It is also possible to be posted on email or app announcement boards.

In addition, if a user who does not make a reservation for a prepaid order immediately visits a merchant and uses the service, the user can click the service execution through the application so that the charge can be automatically processed from his / her registered card or account immediately after using the service. Do.

The present invention can provide the following services through the recommendation point management unit 35c.

When a user installs and registers an application by recommending another user, a point may be paid to the introduced user about the service usage fee of the introduced user, and the point may be used at a merchant within a specified period.

The present invention can provide the following services through the food ingredient information provided and the detailed order history input unit (35d).

The user can check the calorie, main ingredient content, and country of origin information of each food developed and provided by the merchant, and when ordering, the raw materials can be directly ordered according to the user's taste.

For example, in the selected menu, the egg yolk can be removed, or a lot of soft peppers can be checked and reflected.

The present invention can provide the following services through the expert food information providing unit (35e).

Allows you to combine health recommendation messages from experts (doctors, oriental medicine doctors, food nutritionists, etc.) to be selected by users for the food information developed and provided by the merchants, and select experts using the established pool of health food experts. To be provided with food information through experts.

Figure 4 shows an example of the electronic receipt issuance managed by the electronic receipt management unit 36, the electronic receipt issued according to the order payment in addition to payment information, advertising and promotional data, membership related information, for inducing the use of merchants Information and the like can be displayed.

And the detailed configuration of the O2O marketing management server 200 is as follows.

5A is a detailed configuration diagram of an O2O marketing management server according to the present invention, and FIG. 5B is a detailed configuration diagram of an order processing and a payment management unit of the O2O marketing management server.

O2O marketing management server 200 according to the present invention, as shown in Figure 5a, O2O application management unit for managing the application for O2O marketing services using the artificial intelligence recommendations provided to the user terminal 100 and the merchant terminal 300 51, a customer management information DB 52 and an affiliated store management information DB 53 for managing customers and affiliates subscribed to the O 2 O marketing service using artificial intelligence recommendation, and services through the O 2 O marketing service using artificial intelligence recommendation. Subscriber usage history management unit 54 for managing the use history, and genes by analyzing the gene information provided by the user's selection to identify the gene type to generate matching information for recommending food suitable for the user based on the gene type Analyze the message data exchanged with the user and others through the information analysis unit 55 and the user terminal 100 to order Message analysis unit 56 for generating matching information for recommending the appropriate food to the user based on the user's emotional information at the time of booking, the user's moving distance and behavior pattern, order pattern, order region information, weekly time zone, order Artificial intelligence that analyzes the number of people, preferred food color, food calories and health status through artificial intelligence such as deep learning, and outputs recommended restaurant and food menu matching information by reflecting user gene type and emotional information based on the analysis result. The intelligent analysis and recommendation unit 57, the order processing and payment management unit 58 which performs the order reservation process selected by the user through the recommendation through the artificial intelligence analysis and recommendation unit 57, and performs the payment, and the artificial intelligence recommendation In the process of providing O2O marketing service using the advertisement and event manager 59 for managing advertisements and events for users and merchants. It should.

Here, 'artificial intelligence' used in the artificial intelligence analysis and recommendation unit 57 refers to machine learning technology based on an artificial neural network, and deep learning (deep learning) ), As well as reinforcement learning.

And O2O marketing management server 200 may include a configuration that allows you to directly check the menu and customer reviews of food, and if the application is inconvenient in the process of booking the order to be connected to the call center to be processed. have.

The O2O marketing management server 200 manages notification messages according to order reservation and payment processing, stick-type message (advertisement) management, service satisfaction evaluation management and provision, automatic payment management, recommendation point management, food ingredient information provision, and detailed order history. In order to provide food information through management and experts, the following configuration may be included.

The detailed configuration of the order processing and payment management unit 58 of the O2O marketing management server 200 is as follows.

As shown in FIG. 5B, when a user selects a desired time zone (weekday lunch and dinner) and registers in advance, the O2O marketing management server 200 recommends a menu of affiliated restaurants in a predetermined area before a designated time, and the weather And a notification message processor 58a which transmits a notification message recommending a suitable food menu suitable for biorhythm to the user terminal 100, manages the service satisfaction evaluation of the user, and checks the accumulated service satisfaction evaluation result. The service satisfaction evaluation management unit (58b), and when a user recommends another user to install and register the application to ensure that a certain point is paid to the introduced user about the service usage fee of the introduced user, the use of the paid points Recommended point management unit (58c) to manage the and the food of the menu provided by the merchant Lori, the main raw material content, and the country of origin information can be directly checked by the user, and the detailed order details reflecting processing unit (58d) so that the detailed order details can be reflected so that you can order with the food according to your preferences, and food provided by the merchant Expert and food information management unit (58e), which enables to combine information and health recommendation messages of experts (doctors, oriental medical doctors, food nutritionists, etc.), and to provide expert food information through expert selection by managing the health food specialist POOL. It includes.

And the detailed configuration of the merchant terminal 300 is as follows.

6 is a detailed configuration diagram of an affiliated store terminal according to the present invention.

Merchant terminal 300 is equipped with an application for O2O marketing services using artificial intelligence recommendation, O2O marketing service subscription number, business name, phone number, card payment information, hygiene registration information, permission, representative name, employee Basic information input unit 61 for inputting basic information such as number, address, parking information, food menu, origin indication, food weight, calorie information, food ingredient information, health information, price discount information, event information, food image, The additional information input unit 62 for inputting additional information such as food material purchase date and the O2O marketing management server 200 confirms an order reservation made of artificial intelligence recommendation and processes such as seat assignment and ordering for food cooking. Order reservation confirmation and processing unit 63, and payment processing and payment information management unit 64 for the payment processing according to the order through the O2O marketing service and manages the payment information All.

Detailed configuration of the genetic information analysis unit 55 of the O2O marketing management server 200 according to the present invention is as follows.

7 is a detailed configuration diagram of the genetic information analysis unit.

Genetic information analysis unit 55 is a service mode selected by the user from the genetic information acquisition unit 71 provided through the user terminal 100 and the genetic information obtained through the genetic information acquisition unit 71 by the user's selection In accordance with the allergic reaction to a specific food ingredients according to the type of gene or gene type identification unit 72, and the genotype identification unit 72, and confirms the diet gene and genotype related to the diet Gene type-based matching information generation unit 73 for outputting the matching information.

Here, the diet gene type related to the diet may be classified into, but is not limited to, genetic factors of exercise, absorption and metabolism, insulin secretion, and other items.

Detailed configuration of the message analysis unit 56 of the O2O marketing management server 200 according to the present invention is as follows.

8 is a detailed configuration diagram of the message analyzer.

The message analyzer 56 separates the emoticon and the text from the message provided through the user terminal 100, separates the text into morpheme units, determines a part-of-speech of the separated morphemes, and performs syntax analysis to estimate the meaning of the term. A message preprocessing unit 81 which performs preprocessing for keyword extraction, and an emotional keyword extracting unit which extracts one or more emotional keywords matching emotions by calculating a usage ratio and a matching ratio of the preprocessed words in the message preprocessor 81 ( 82 and an emotional keyword-based matching information generation unit 83 that outputs matching information based on the emotional keyword extracted by the emotional keyword extracting unit 82.

In this case, the message used is provided through the user terminal 100, and includes an e-mail, a social network service (SNS), a short message service (SMS), and a multimedia message service (MMS). , A multimedia message service (IM), an instant messenger (IM), or a message through at least one communication means.

The emotional keyword extracted from the emotional keyword extracting unit 82 may be divided into fear, anger, sadness, joy, goodness, dislike, empathy, and the like, but is not limited thereto.

Detailed configuration of the artificial intelligence analysis and recommendation unit 57 of the O2O marketing management server 200 according to the present invention is as follows.

9 is a detailed configuration diagram of the artificial intelligence analysis and recommendation unit.

The artificial intelligence analysis and recommendation unit 57 analyzes the moving distance and the behavior pattern of the user and outputs an analysis result of the average moving distance for the meal and the average error degree of the reservation time and the arrival time. 91), an order pattern analysis unit 92 for analyzing order patterns (price pattern, food type pattern such as Korean food, Western food, Chinese food, etc.) based on the user's usage history using the O2O marketing service, and the user's O2O marketing. Order area information analysis unit 93 which analyzes order area information (such as a radius of action and regular business visits) mainly using the service, order time zone analysis unit 94 which analyzes the order time zone mainly used, and O2O for a certain period of time. Order number trend analysis unit (95) for analyzing the average number of people to eat together by tracking the marketing service usage history, O2O marketing service usage history for a certain period Preferred food color analysis unit 96 which analyzes the image of the food ordered by tracking and analyzing the food color that the user prefers, and health status information such as exercise amount and biometric information provided with the user's consent and for a certain period of time. Food calorie and health analysis unit (97) analyzing daily average calories of ordered foods, travel distance and behavior pattern, order pattern, order area information, weekly time zone, order number trend, preferred food color, food calorie and health status The analysis result reference matching recommendation unit 98 may be configured to output the recommended restaurant and food menu matching information by reflecting the emotion information at the time of the current order based on the analysis result.

This analysis of distance and behavior patterns, order patterns, order region information, weekly time slots, order number trends, preferred food colors, food calories and health status includes weather information, seasonal information, traffic conditions, and events within a certain area. It is also possible to keep track of user patterns that change according to information.

In addition, the preferred food color analysis unit 96 uses a food image uploaded by the merchant owner through the merchant terminal 300, and tracks the O2O marketing service use history for a predetermined period of time as follows. Analyze by method.

In the image of the ordered food, the color of the diet is first classified by cluster analysis, and the food is preferentially classified by the diet color feature by deep learning. For example, it is divided into five basic colors of red, yellow, green, black, and white.

In this case, it is preferable to perform cluster analysis by first performing color segmentation and constructing a decision tree through un-supervised learning.

In the case of red food, food ingredients such as tomatoes, apples, red peppers, red beans, pomegranates, jujubes, schisandra, strawberries, and watermelons can be used, and these ingredients contain phytochemicals such as lycopene and anthocyanin. This substance is effective in removing free radicals, inhibits cancer cell growth, and improves immune function. Lycopene, in particular, is known to be effective in preventing prostate cancer and heart disease.

In the case of yellow food, food ingredients such as carrot, grapefruit, pumpkin, sweet potato, curry, persimmon, tangerine, mango, honey and yellow paprika may be used, and these ingredients contain phytochemicals called carotenoids. It has an anticancer effect and prevents oxidation, delaying aging and improving immunity. In particular, phytochemicals called limonene in the inner skin of oranges, grapefruit and tangerines are known to prevent various cancers.

In the case of green food, food ingredients such as broccoli, cabbage, asparagus, olive oil, green tea, cucumber, spinach, and plum may be used.The green vegetables and grains contain phytochemicals called 'sulforapane', 'indole', and 'lignan'. have. This helps to maintain healthy cellular conditions, which can help reduce the risk of developing cancers related to hormones such as colon cancer, breast cancer and prostate cancer.

In the case of black food, food ingredients such as black rice, black beans, black sesame, seaweed, seaweed, kelp, black olive, and squid ink may be used. Anthocyanin, which is a main ingredient of these ingredients, has an effect of restoring immunity and energy. It lowers cholesterol levels, and has a significant impact on cardiovascular disease and cancer prevention.

In the case of white foods, food ingredients such as garlic, onions, radishes, mushrooms, pears, and white wines can be used, and the foods of the white system contain phytochemicals called 'allyl compounds', such as liver cancer, breast cancer, colon cancer, and stomach cancer. To prevent. It also acts as a strong antiseptic, antibacterial and helps lower blood cholesterol and blood pressure.

The present invention may recommend a food menu using food ingredients suitable for the user by analyzing the user preferred food color.

In addition, the process for outputting the recommended restaurant and food menu matching information by reflecting the emotion information at the current order time in the analysis result reference matching recommendation unit 98 may be performed by the following method.

For example, you feel satisfied when your body and mind are at ease, but your appetite tends to grow when you have negative emotions such as boiling anger, loneliness, sadness, or compulsion.

Many people have reported that these negative feelings often lead to unhealthy foods that are high in carbohydrates, sugars and fats.

In addition, feelings of sadness can lead to a loss of control over food intake, because food is consumed by 'emotional hunger' rather than 'physical hunger'.

In addition, in a stressful state to promote the endorphin secretion by discharging the heat and sweat of the body together to choose a spicy food to temporarily feel better.

If carbohydrate intake is low and you feel lethargic, the stress hormone cortisol is secreted, causing your body to desire carbohydrate intake.

In consideration of the above matters, the analysis result reference matching recommender using matching information generated based on emotional keywords such as fear, anger, sadness, joy, goodness, dislike, and empathy extracted from the emotional keyword extraction unit 82. In operation 98, the recommended restaurant and food menu matching information is output by reflecting the emotion information at the time of ordering.

The artificial intelligence recommendation process using the system for O 2 O marketing using the artificial intelligence recommendation according to the present invention having such a configuration will be described in detail as follows.

10A and 10B are flow charts illustrating a method for O 2 O marketing using artificial intelligence recommendation in accordance with the present invention.

10A illustrates an O 2 O marketing service using process using the AI recommendation made in the user terminal 100. When an application for O 2 O marketing service using the AI recommendation is driven, the O 2 O marketing management server 200 moves and It analyzes behavior patterns, order patterns, order region information, weekly time slots, order number trend, preferred food color, food calories and health status, and analyzes and recommends AI based on genetic information analysis and message analysis.

Subsequently, the restaurant is selected by AI analysis and recommendation, the food menu is selected, the payment process and the estimated time of arrival of the restaurant are transmitted, and the order reservation details are transmitted to the affiliated store terminal 300 through the O2O marketing management server 200. Complete your order reservation.

FIG. 10B illustrates an O 2 O marketing service using process using an AI recommendation made in the affiliated store terminal 300. The O 2 O marketing management server 200 operates an application for an O 2 O marketing service using an AI recommendation. Check reservations, order food cooks and assign seats to the kitchen.

In this state, when the ordering customer arrives, the customer will receive a seat, provide food, make additional payments for other drinks, and perform additional point payments and automatic statistical settlement.

The system and method for O 2 O marketing using artificial intelligence recommendation according to the present invention as described above improves the convenience of customers and the efficiency of marketing management by recommending products using orderer's emotion information and registered gene information through SNS message analysis. Office workers with a limited time to go to the restaurant to reduce the unnecessary time to eat, the travel time, the menu and cooking time of the restaurant through the application to determine the pre-order payment is possible.

The present invention is a customized O2O marketing service, the service provider can obtain new customers, increase existing customer loyalty, advertising and commissions, etc., the service user is not limited by space and time, convenience, economic benefits, It has the effect of improving satisfaction on the preferential application of service use.

It will be understood that the present invention is implemented in a modified form without departing from the essential features of the present invention as described above.

Therefore, the described embodiments should be considered in descriptive sense only and not for purposes of limitation, and the scope of the present invention is shown in the claims rather than the foregoing description, and all differences within the equivalent scope are included in the present invention. It should be interpreted.

100. User terminal
200. O2O Marketing Management Server
300. Merchant Terminal

Claims (9)

It is equipped with an application for O2O marketing service, inputs information for using O2O marketing service, provides SNS data for emotional analysis, provides genetic information, and makes an order reservation and recommendation through recommendation information provided through O2O marketing management server. A user terminal performing payment;
Subscriber usage history management unit that manages service usage history through O2O marketing service using artificial intelligence recommendation, and analyzes genetic information provided by user's choice to check gene type and recommends food suitable for user based on gene type Genetic information analysis unit for generating matching information to separate the phrases to separate the emoticon and text from the message provided through the user terminal, and to separate the text into morphological units and determine the parts of speech separated morphemes to estimate the meaning of the terms Pre-processing for keyword extraction by analyzing, message analyzing unit for outputting matching information based on the extracted emotional keywords by extracting one or more emotional keywords matching emotions by calculating the usage ratio and matching ratio of the preprocessed words And the user's distance and behavior , Artificial intelligence analysis of order pattern, order region information, order time slot, order number trend, preferred food color, food calories and health status, and based on the analysis result, user gene type and emotional information are reflected to recommend restaurants and An O2O marketing management server including an artificial intelligence analysis and recommendation unit for outputting food menu matching information;
And a merchant terminal equipped with an application for O 2 O marketing service, inputting information for using the O 2 O marketing service, checking an order reservation received through a user terminal, managing delivery, and processing a payment.
The O2O marketing management server analyzes the moving distance and behavior pattern of the user to perform AI analysis and recommendation, order processing and payment, and analyzes the average moving distance for meals and the average error of reservation time and arrival time. In addition, the O2O marketing service usage history is tracked for a certain period of time, and the image of the ordered food is analyzed through the analysis of the food color that the user prefers. Provide travel information, display travel directions to the merchant after order booking,
The SNS data provided for the emotion analysis in the user terminal are message data exchanged with the user and others through the user terminal, except for the contents of the advertisement message, and are provided based on repeated keywords, System for O2O marketing using artificial intelligence recommendation, characterized in that to provide a set production period before the time of order reservation in order to increase the accuracy. The method of claim 1, wherein the user terminal,
SNS data providing unit that provides the SNS data used as a basic data for user emotion analysis,
An order reservation and payment processing unit for order reservation and payment processing according to O2O marketing service using artificial intelligence recommendation,
Electronic receipt management unit for managing the electronic receipt according to the order reservation and payment,
A movement route providing unit which provides location and movement information upon movement according to a user's order reservation and displays a movement route to an affiliated store after an order reservation;
System for marketing O2O using artificial intelligence recommendation comprising a genetic information management unit for managing the genetic test information received from the genetic testing institute by the user's selection for health care. According to claim 2, Gene information of the user managed by the genetic information management unit,
When the service mode selected by the user is a health check mode or a diet mode, the O2O marketing management server is provided, and the genetic information provided to the O2O marketing management server is not stored in the O2O marketing management server after the user gene type analysis. System for marketing O2O using AI recommendation. The method of claim 2, wherein the order reservation and payment processing unit,
If the user selects the desired time zone and registers in advance, the O2O marketing management server recommends the menu of the affiliated restaurant in the designated area before the designated time and recommends the appropriate food menu suitable for the weather and biorhythm. Notification message management unit to display the notification message to the user when sent to,
A service satisfaction evaluation and confirmation unit for evaluating the service satisfaction level of the merchant used by the user and confirming the accumulated service satisfaction evaluation results;
When a user installs and registers an application by recommending another user, a recommendation is made to pay a certain point to the introduced user about the service usage fee of the introduced user, and to make the received point available to the merchant within a specified period. System for O 2 O marketing using artificial intelligence recommendation, characterized in that it comprises a point management unit. delete According to claim 1, Gene information analysis unit,
Gene information acquisition unit provided through the user terminal by the user's selection,
A gene type identification unit for checking a gene type based on an allergic reaction to a specific food ingredient or a diet gene and genotype related to a diet according to a service mode selected by a user from a gene information obtained through a genetic information acquisition unit;
System for O2O marketing using artificial intelligence recommendation comprising a gene type based matching information generation unit for outputting matching information according to the gene type identified in the gene type identification unit. delete The method of claim 1, wherein the artificial intelligence analysis and recommendation unit,
A moving distance and behavior pattern analysis unit for analyzing a moving distance and behavior pattern of a user and outputting an analysis result of an average moving distance for a meal and an average error degree of a reservation time and an arrival time;
An order pattern analysis unit analyzing an order pattern based on a user history using an O2O marketing service;
Order region information analysis unit for analyzing the order region information mainly using the O2O marketing service of the user,
Order time zone analysis unit for analyzing the order time zones to use mainly,
Order number trend analysis unit that tracks the history of O2O marketing service usage for a period of time, and analyzes the average number of people who eat together,
Preferred food color analysis unit that tracks the use history of O2O marketing service for a certain period of time and analyzes the food color that the user prefers by analyzing the image of the ordered food;
Food calorie and health status analysis unit for analyzing the health status information provided with the user's consent and the daily average calories of food ordered for a certain period of time,
Recommend restaurant and food menu matching information by reflecting emotion information at the time of order based on the distance and behavior pattern, order pattern, order region information, order time frame, order number trend, preferred food color, food calories and health analysis System for O2O marketing using artificial intelligence recommendation, characterized in that it comprises an analysis result criterion matching recommendation output unit. When a user's order reservation request is made through an application for O2O marketing service,
Analyzing the moving distance and behavior pattern of the user to analyze the average moving distance for the meal and the average degree of error between the reservation time and the arrival time;
Analyzing the order pattern based on the user's history using the O2O marketing service, and analyzing order region information mainly used;
Analyzing the order time frame mainly used, and analyzing the average number of people who eat together;
Analyzing the food color that the user prefers by tracking O2O marketing service usage history for a predetermined period and analyzing the image of the ordered food;
Analyzing daily average calories of food ordered for a period of time and health status information provided with a user's consent;
Recommend restaurant and food menu matching information by reflecting emotion information at the time of order based on the distance and behavior pattern, order pattern, order region information, order time frame, order number trend, preferred food color, food calories and health analysis And outputting;
Providing location and movement information at the time of movement according to the user's order reservation through the user terminal, and displaying the movement route to the affiliated store after the order reservation,
In order to reflect emotion information at the time of ordering, SNS data for emotion analysis is received from the user terminal to generate emotion keyword-based matching information, and the SNS data provided for emotion analysis in the user terminal is received through the user terminal. Message data exchanged with other people and the message data except for the content of the advertising message, is provided based on the repeated keywords, and to provide the production period before the time of order reservation to increase the accuracy of sentiment analysis,
Separates emoticons and text from messages provided through the user terminal, separates the text into morphological units, determines the parts of speech of the separated morphemes, parses them to estimate the meaning of terms, and performs preprocessing for keyword extraction. A method for O 2 O marketing using artificial intelligence recommendation, comprising: extracting one or more emotional keywords matching emotions by calculating the usage ratio and the matching ratio of words, and outputting matching information based on the extracted emotional keywords.

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