KR20220014741A - Platform for Providing Goods and Services based on Big Data - Google Patents

Abstract

Suggested are a system and method for providing a product and a service based on big data. In accordance with the present invention, the system for providing a product and a service based on big data includes: a plurality of omni-sensors installed in a plurality of stores to manage information related with each of the stores, including customer status, reservation status and product status of the stores, to remotely transmit the store-related information through a first user terminal among a plurality of user terminals, and to receive advertisement-related instructions in accordance with the store-related information through the first user terminal to transmit the instructions to the other user terminals located within a preset range from the stores; the plurality of user terminals receiving the store-related information from the plurality of omni-sensors to transmit the information to a service server, and receiving the advertisement-related instructions in accordance with the store-related information from the service server to transmit the instructions to each of the omni-sensors in a corresponding store; and the service server receiving the store-related information from the plurality of omni-sensors through the first user terminal of the plurality of user terminals, and transmitting the advertisement-related instructions in accordance with the store-related information to the omni-sensors in the corresponding store through the first user terminal. Therefore, the present invention is capable of providing user-customized marketing information.

Description

Platform for Providing Goods and Services based on Big Data

The present invention relates to a method and apparatus for providing goods and services based on big data.

In the past, the retail industry was dominated by offline department stores, outlet malls, and shopping centers, but recently, the online shopping market is rapidly emerging. In 2015, the overall market growth rate of the online shopping industry, including home shopping, internet shopping, and mobile shopping, reached about 9%, and sales reached 60 trillion won.

As one of the reasons for the rapid growth of the online shopping market, customized marketing activities using customer information play an important role. In general, online shopping malls can identify customers' demographic information through the membership registration process, and it is easy to accumulate vast amounts of data such as individual customers' past purchases and product reviews and evaluations, and apply various marketing techniques using this. It has the characteristics of being able to do this.

On the other hand, in the case of offline shopping malls, traditional marketing activities such as mail sending (DM) and telemarketing are performed, but marketing activities are limited due to the limitations of available customer information and information delivery media compared to online.

In addition, in order to provide various shopping information in real time to customers who are currently shopping by visiting an offline shopping mall, it is common to rely on marketing methods targeting an unspecified number of customers, such as announcements, posters, banners, and group text messages. . In other words, it is difficult to apply one-to-one marketing to customers due to the nature of stores where a large number of customers exist in a large shopping mall, and accordingly, it is not possible to directly provide customers with information about the stores or products they need. For this reason, in the offline shopping market, the scope of marketing activities has been mainly limited to display and arrangement by identifying the relationship between products, and composition of set products.

In order to solve this problem, Korean Patent Application Laid-Open No. 2016-0015414 discloses that when a user searches for a product using his/her terminal, information on one or more stores corresponding to the product is provided, and a specific information selected by the user is provided. An offline store recommendation system that provides directions to a store has been proposed.

However, the prior art as described above is inconvenient in that the user must search for a desired product through his or her user terminal. Accordingly, there is a disadvantage that the user's location measurement is significantly restricted in areas where GPS signals cannot reach, such as indoor areas or areas with dense buildings. There are many difficulties, and the provided information is also extremely limited and inefficient.

The technical problem to be achieved by the present invention is to provide user-customized marketing information that applies various marketing techniques using vast data such as the user's past purchase history and product reviews or evaluations based on the user's current location, and An object of the present invention is to provide a method and system for analyzing and predicting a pattern.

In one aspect, the system for providing goods and services based on big data proposed by the present invention is installed in a plurality of stores to manage each store-related information including customer status, reservation status, and product status of the store, and a plurality of A plurality of other users within a predetermined range from the store by remotely transmitting store-related information to the service server through a first user terminal among the user terminals, and receiving advertisement related instructions according to the store-related information through the first user terminal A plurality of omni sensors that transmit to the terminal, store-related information is received from a plurality of omni sensors and sent to the service server, and promotional instructions according to the store-related information are received from the service server and transmitted to the omni sensor of the store, respectively. Receive a plurality of user terminals and store-related information from a plurality of omni sensors through a first user terminal among a plurality of user terminals, and receive promotion-related instructions according to the store-related information to the omni sensor of the store through the first user terminal Includes a sending service server.

When each user terminal is located within a predetermined range from the first store among a plurality of stores, the advertisement-related instructions are received from the omni sensor installed in the first store through the application installed on each user terminal and displayed as a notification.

Each user terminal has an input unit for receiving the store information required by the user, the store information required by the user and the user's age, current location, current season, user's gender, user's store visit record, user's life An analysis unit that selects and displays a plurality of publicity-related instructions through AI according to user-related information including a pattern, a user's occupation, and user's body information, and an information providing unit that recommends a plurality of selected publicity-related instructions to the user include

When the store information required by the user is inputted through the input unit, the analysis unit selects a plurality of stores or corresponding promotion-related instructions within a predetermined range through AI, and analyzes the plurality of stores or the corresponding promotion-related instructions A weight is given to each store according to the store-related information, and the information providing unit recommends a plurality of stores to the user according to the assigned weight, and displays instructions related to the promotion.

The service server analyzes and stores the user's purchase pattern in real time in all channels, including online, offline, and mobile, and according to the analysis result, sends promotional instructions to use it for in-store promotions, and to increase the purchase rate. In real time, the advertisement-related instructions are transmitted to a plurality of user terminals.

The service server analyzes and stores the user's purchase pattern in real time in all channels including online, offline, and mobile, and the user's age, current location, current season, user's gender, user's store visit record, user's life Big data is created and stored together with user-related information including patterns, user occupations, and user body information, and future user purchasing patterns are predicted based on the big data.

According to embodiments of the present invention, based on the user's current location, it provides user-customized marketing information that applies various marketing techniques using a vast amount of data such as the user's past purchase history and product use reviews or evaluations, and the user's purchase Patterns can be analyzed and predicted.

1 is a schematic diagram illustrating a platform for providing goods and services based on big data according to an embodiment of the present invention.
2 is a diagram for explaining a distribution channel paradigm according to an embodiment of the present invention.
3 is a diagram showing the configuration of a system for providing goods and services based on big data according to an embodiment of the present invention.
4 is a diagram for explaining a store recommendation process through the provision of big data-based products and services according to an embodiment of the present invention.
5 is a diagram for explaining a process of transmitting publicity related instructions through the provision of big data-based products and services according to an embodiment of the present invention.
6 is a flowchart illustrating a method of providing goods and services based on big data according to an embodiment of the present invention.

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

1 is a schematic diagram for explaining a platform for providing goods and services based on big data according to an embodiment of the present invention.

The platform for providing goods and services based on big data according to an embodiment of the present invention includes omni sensors 111 and 112 respectively installed in a plurality of stores, a plurality of user terminals 121 and 122 and a service server 130 .

The omni sensors 111 and 112 respectively installed in a plurality of stores are, for example, short-range wireless communication devices such as Bluetooth devices. The omni sensors 111 and 112 are connected to the service server 130 through a plurality of user terminals 121 and 122 in the store or within a predetermined range from the store. Here, Bluetooth is only an embodiment, and various wireless communication methods other than Bluetooth may be used.

The omni sensor (111, 112) manages store-related information including the customer status of the store, the reservation status, the product status of the store, and the like, and a plurality of user terminals (121, 122) (eg, smartphones, smart TVs) , PC, etc.) receives various instructions related to promotion (eg, coupon issuance, promotional message, discount event information) from the service server 130 through one user terminal. Then, the user terminal transmits promotional instructions to a plurality of user terminals around using the omni sensor. The service server 130 receives the information collected through the user terminal from the omni sensor of all stores, and sends instructions to each store based on big data.

2 is a diagram for explaining a distribution channel paradigm according to an embodiment of the present invention.

In the platform for providing products and services based on big data according to an embodiment of the present invention, Omni-Channel is a customer-centered system that integrates and connects all channels to provide consistent communication to enhance customer experience and Channel strategy to increase sales.

2( a ) is a diagram illustrating a single channel according to the prior art, and only offline stores exist. 2(b) is a diagram illustrating a multi-channel according to the prior art, in which each channel is independently operated, and there is an on-off competition relationship. FIG. 2(c) is a diagram illustrating a cross-channel according to the prior art, in which each channel is organically operated, and there is a complementary relationship between on and off.

Figure 2 (d) is a diagram showing an omni-channel according to an embodiment of the present invention, the omni-channel is customer-oriented organic channel operation is made, there is a win-win relationship on and off. These omni-channels are different from multi-channels that compete with each other and operate independently in that various channels complement each other's shortcomings, maximize their strengths, and act as a single channel.

The platform for providing goods and services based on big data according to an embodiment of the present invention can provide goods and services desired by the user based on the user's location, centered on the stores through such an omni-channel.

Through the user terminal application that provides products and services quickly based on location, users receive customized marketing information that applies various marketing techniques using vast data such as past purchases and product reviews and evaluations. can In addition, it analyzes and stores users' purchasing patterns in all channels including online, offline, and mobile in real time, predicts users' purchasing patterns according to the analysis results, and sends promotional instructions to use them for in-store promotions, , it is possible to transmit the promotional instructions to a plurality of user terminals in real time to increase the purchase rate.

3 is a diagram showing the configuration of a system for providing goods and services based on big data according to an embodiment of the present invention.

The proposed system for providing goods and services based on big data includes a plurality of user terminals 300 , a service server 360 , and a plurality of omni sensors 370 .

A plurality of omni sensors 370 are installed in a plurality of stores to manage each store-related information including the customer status, reservation status, and product status of the store, and service remotely through the first user terminal among the plurality of user terminals Sends store-related information to the server. Thereafter, a plurality of other user terminals within a predetermined range from the store by receiving promotion-related instructions (eg, coupon issuance, promotional message, discount event information) according to the store-related information from the service server through the first user terminal send to

The service server 360 receives the store-related information from the plurality of omni sensors 370 through the first user terminal among the plurality of user terminals, and receives the promotion-related instructions according to the store-related information through the first user terminal. transmitted to the omni sensor of

The service server 360 analyzes and stores the user's purchase pattern in real time in all channels, including online, offline, and mobile, and according to the analysis result, transmits promotional instructions to use it for in-store promotion, and increases the purchase rate. In order to increase, in real time, a plurality of user terminals are sent promotional related instructions.

In addition, the service server 360 analyzes and stores the user's purchase pattern in real time in all channels including online, offline, and mobile, the user's age, current location, current season, user's gender, user's store visit Big data is created and stored together with user-related information including records, user's life pattern, user's occupation, and user's body information, and future user's purchasing pattern is predicted based on the big data.

A plurality of user terminals 300 receive store-related information from a plurality of omni sensors 370 and transmit them to the service server 360, and receive promotion-related instructions according to the store-related information from the service server 360 Each is transmitted to the store's omni sensor.

When each user terminal is located within a predetermined range from the first store among a plurality of stores, the advertisement-related instructions are received from the omni sensor installed in the first store through the application installed on each user terminal and displayed as a notification. Hereinafter, the internal configuration of each of the plurality of user terminals 300 will be described in more detail.

The plurality of user terminals 300 according to the present embodiment may include a processor 310 , a bus 320 , a network interface 330 , a memory 340 , and a database 350 . The memory 340 may include an operating system 341 and a big data-based product and service provision routine 342 . The processor 310 may include an input unit 311 , an analysis unit 312 , and an information providing unit 313 . In other embodiments, the plurality of user terminals 300 may include more components than those of FIG. 3 . However, there is no need to clearly show most of the prior art components. For example, the plurality of user terminals 300 may include other components such as a display or a transceiver.

The memory 340 is a computer-readable recording medium and may include a random access memory (RAM), a read only memory (ROM), and a permanent mass storage device such as a disk drive. In addition, program codes for the operating system 341 and the big data-based product and service provision routine 342 may be stored in the memory 340 . These software components may be loaded from a computer-readable recording medium separate from the memory 340 using a drive mechanism (not shown). The separate computer-readable recording medium may include a computer-readable recording medium (not shown) such as a floppy drive, a disk, a tape, a DVD/CD-ROM drive, and a memory card. In another embodiment, the software components may be loaded into the memory 340 through the network interface 330 instead of a computer-readable recording medium.

The bus 320 may enable communication and data transmission between components of the plurality of user terminals 300 . Bus 320 may be configured using a high-speed serial bus, parallel bus, storage area network (SAN), and/or other suitable communication technology.

The network interface 330 may be a computer hardware component for connecting the plurality of user terminals 300 to a computer network. The network interface 330 may connect the plurality of user terminals 300 to a computer network through a wireless or wired connection.

The database 350 may serve to store and maintain all information necessary to provide big data-based products and services. In FIG. 3 , the database 350 is constructed and included in the plurality of user terminals 300 , but it is not limited thereto, and may be omitted depending on the system implementation method or environment, or the entire or part of the database is provided. It is also possible to exist as an external database built on another separate system.

The processor 310 may be configured to process commands of a computer program by performing basic arithmetic, logic, and input/output operations of the plurality of user terminals 300 . The instructions may be provided to the processor 310 by the memory 340 or network interface 330 and via the bus 320 . The processor 310 may be configured to execute program codes for the input unit 311 , the analysis unit 312 , and the information providing unit 313 . Such program codes may be stored in a recording device such as the memory 340 .

The input unit 311 , the analysis unit 312 , and the information providing unit 313 may be configured to perform steps 610 to 630 of FIG. 6 .

Each of the plurality of user terminals 300 may include an input unit 311 , an analysis unit 312 , and an information providing unit 313 .

The input unit 311 receives the store information required by the user from the user. The user may input the store classification and product required by the user through the application of the smart terminal for providing the proposed big data-based products and services. For example, when a user (that is, a customer) wants to purchase cosmetics, 'cosmetic store' may be input in the store category and 'suncream' may be input in the product name.

The analysis unit 312 analyzes the store information required by the received user and the user's age, current location, current season, user's gender, user's store visit record, user's life pattern, user's occupation, and user's body information. According to the included user-related information, a plurality of promotional instructions are selected and displayed through AI. When the store information required by the user is inputted through the input unit 311 , the analysis unit 312 selects a plurality of stores or corresponding promotional instructions within a predetermined range through AI, and selects a plurality of stores or the corresponding promotion instructions through the input unit 311 . For the promotional instructions, each store may be weighted according to store-related information.

The information providing unit 313 recommends a plurality of selected promotional instructions to the user. The information providing unit 313 may recommend a plurality of stores to the user according to the weight given through the analysis unit 312 , and may indicate corresponding promotion related instructions. For example, service information including discount information, event information, and long-term interest-free installment benefits of a plurality of recommended stores may be displayed through a push notification.

4 is a view for explaining a store recommendation process through the provision of big data-based products and services according to an embodiment of the present invention.

4A is a diagram illustrating a process of receiving store information required by a user from a user.

The user can input the required store classification and product through the application of the smart terminal for providing the proposed big data-based products and services. For example, when a user (that is, a customer) wants to purchase cosmetics, 'cosmetic store' may be input in the store category and 'suncream' may be input in the product name.

4(b) is a diagram illustrating a process of selecting and displaying a plurality of stores through AI according to store-related information and information input from a user.

Based on user-related information including user age, current location, current season, user's gender, user's store visit record, user's life pattern, user's occupation, user's body information, and information received from the user, AI Multiple stores are selected and displayed.

For example, if a user searches for a 'cosmetics store' that sells 'sunscreen', the user's age, current location, current season, user's gender, user's store visit history, user's lifestyle, user's occupation, According to the user-related information including the user's body information and the received store classification 'cosmetics store' and product 'sun cream', a plurality of stores are selected and displayed through AI.

Stores determined to be necessary for the user may be selected by analysis based on user-related information and information received from the user, and a plurality of stores according to the analysis result may be displayed numerically and graphically according to probability. As shown in Fig. 4(b), the result of analysis based on user-related information and information received from the user is, for example, the priority of stores that have recently visited or mainly used products, store A > store B > In the case of store C, it may be determined that the user needs 70% of store A, 25% of store B, and 3% of store C.

4C is a diagram illustrating a process of providing store information based on a location. When a desired store is selected by the user from among the displayed plurality of stores, a plurality of stores near the user's location and having stores of the corresponding brand may be displayed on the map based on user-related information and information input by the user. For example, when the user selects the store A, locations of a plurality of stores A in the vicinity may be indicated.

At this time, when the store information required by the user is inputted through the input unit, a plurality of stores or corresponding promotional instructions within a predetermined range are selected through AI, and the stores or stores for the plurality of stores or corresponding promotional instructions are selected through the input unit. A weight may be given to each store according to related information, a plurality of stores may be recommended to a user according to the weighted weight, and instructions related to promotion may be displayed.

According to another embodiment of the present invention, the provision of big data-based products and services also includes provision of medical information.

For example, information on symptoms or desired treatment may be input from the user. The user may input the disease name and symptom through the application of the smart terminal for providing the proposed big data-based products and services.

For example, when the user has injured his leg, he may input 'sprain' as the disease name and 'pain' as the symptom. In addition, you can input 'X-ray' as a desired treatment subject.

Thereafter, a plurality of medical subjects may be selected and displayed through AI according to user-related information and information received from the user. User-related information, including the user's disease incidence frequency, user's age, current location, current season, user's gender, user's hospital visit record, user's search history, user's life pattern, user's occupation, and user's body information According to the information input by the user and the user, multiple medical subjects are selected and displayed through AI.

For example, if the user injured his leg, the frequency of occurrence of the user's disease, the user's age, the current location, the current season, the user's gender, the user's hospital visit history, the user's search history, the user's life pattern, the user's occupation , according to the user-related information including the user's body information, the disease name 'sprain', the symptom 'pain', and the medical subject 'X-ray' input from the user, a plurality of medical subjects are selected and displayed through AI.

By analyzing based on user-related information and information input from the user, medical subjects determined to be necessary for the user can be selected, and a plurality of medical subjects according to the analysis result can be displayed numerically and graphically according to probability.

As a result of analysis based on user-related information and information received from users, 70% of orthopedic treatment, 25% of pain medicine treatment, and 3% of oriental clinic treatment can be determined to be necessary for users.

According to the determination result, hospital information may be provided based on the location. When a user selects a desired medical subject from among the plurality of displayed medical subjects, based on user-related information and information input from the user, a plurality of hospitals that are close to the user's location and have specialists in the relevant medical subject can be displayed on the map. have. For example, when a user selects orthopedic treatment, weight is given to each hospital according to hospital-related information including location, price, appointment date and time, and average waiting time for a plurality of orthopedic hospitals. Multiple hospitals are recommended.

Weights are assigned to a plurality of hospitals according to distance from the user, order of price, and availability of medical treatment reservations, and a plurality of hospitals may be recommended to the user in order of priority according to the assigned weights. In other words, a closer hospital may have priority, or a hospital with a shorter average waiting time may have priority.

Thereafter, a procedure for reservation and consultation for a hospital selected by the user among a plurality of recommended hospitals may be performed.

When the procedure for reservation and consultation for the user is in progress, the user's disease occurrence frequency, the user's age, current location, current season, user's gender, user's hospital visit record, user's search record, user's A reservation notification solution regarding user-related information including life pattern, user's occupation, and user's body information and information received from the user may be provided to the hospital in real time. In addition, a reservation payment may be made to prevent no-shows.

The reservation notification solution provides user-related information and information received from the user to the hospital in real time, and allows the user to know information about the user before visiting the hospital, thereby saving treatment time.

In addition, hospital service information and reservation scheduler including discount information, event information, and long-term interest-free installment benefits of a corresponding hospital may be provided to a user who wants to make a reservation. For example, in order to be selected by the user, hospital service information including discount information, event information, and long-term interest-free installment benefits of each of a plurality of recommended hospitals may be transmitted to the user through a push notification. The user may use hospital service information provided to select one hospital from among a plurality of hospitals as a reference.

In addition, a reservation scheduler is provided so that you can easily check available reservation dates and times, and you can directly make a reservation for a desired date and time through the reservation scheduler.

5 is a diagram for explaining a process of transmitting publicity related instructions through the provision of big data-based products and services according to an embodiment of the present invention.

FIG. 5A is a diagram illustrating an example of transmitting promotional related instructions (eg, coupon issuance, promotional message, discount event information) to a user terminal in the store when the user is in a large shopping mall.

When a plurality of stores in a large shopping mall are running an event, new product information or sale information may be transmitted to the user terminal through a push notification.

FIG. 5B is a diagram for explaining a process of recommending a related product with reference to a purchase history when a user visits a store.

Analyze and store user's purchase patterns in real time in all channels including online, offline, and mobile, and according to the analysis result, send promotional instructions to use for in-store promotions, and multiple in real time to increase purchase rate It is possible to transmit a promotional-related instruction to the user terminal of the.

For example, if a user has a history of purchasing tennis racquets online or offline, when he visits a tennis goods store afterward, instructions related to promotion of tennis shoes or tennis balls, which are related products, are sent to the user's terminal through a push notification. can send

FIG. 5( c ) is a diagram for explaining a service that provides points according to a case in which a user additionally purchases a related product through instructions related to promotion.

The proposed big data-based product and service provision platform analyzes and stores users' purchasing patterns in real time in all channels including online, offline, and mobile, and the age, current location, current season, gender, and user of the user. It is possible to generate and store big data together with user-related information including store visit records, user's life pattern, user's occupation, and user's body information, and predict future user's purchasing patterns based on the big data. In addition, if you visit a store or purchase a product through the promotional instructions provided by the proposed big data-based product and service provision platform, various services such as point accumulation or discount benefits may be provided to encourage publicity and repurchase. have.

6 is a flowchart illustrating a method of providing goods and services based on big data according to an embodiment of the present invention.

The proposed big data-based product and service provision method manages each store-related information including the customer status, reservation status, and product status of the store through a plurality of omni sensors installed in a plurality of stores, Step 610 of remotely transmitting store-related information to the service server through the first user terminal, the service server receives store-related information from a plurality of omni sensors through the first user terminal, and promotion according to store-related information Step 620 of transmitting the instructions to the omni sensor of the store through the first user terminal and the omni sensor of the store receives the promotional instructions according to the store-related information through the first user terminal, It may include transmitting (630) to a plurality of other user terminals within the range.

In step 610, through a plurality of omni sensors installed in a plurality of stores, each store-related information including the customer status, reservation status, and product status of the store is managed, and through the first user terminal among the plurality of user terminals Send store-related information to the service server remotely.

In step 620, the service server receives the store-related information from the plurality of omni sensors through the first user terminal, and transmits promotional-related instructions according to the store-related information to the omni sensor of the store through the first user terminal do.

In step 630, the omni sensor of the store receives the promotional instructions according to the store-related information through the first user terminal and transmits it to a plurality of other user terminals within a predetermined range from the store.

A plurality of omni sensors are installed in a plurality of stores to manage each store-related information including the customer status, reservation status, and product status of the store, and store in the service server remotely through the first user terminal among the plurality of user terminals Send related information. Thereafter, a plurality of other user terminals within a predetermined range from the store by receiving promotion-related instructions (eg, coupon issuance, promotional message, discount event information) according to the store-related information from the service server through the first user terminal send to

The service server receives store-related information from a plurality of omni sensors through a first user terminal among a plurality of user terminals, and transmits promotional instructions according to the store-related information to the omni sensor of the store through the first user terminal. .

The service server analyzes and stores the user's purchase pattern in real time in all channels, including online, offline, and mobile, and according to the analysis result, sends promotional instructions to use it for in-store promotions, and to increase the purchase rate. In real time, the advertisement-related instructions are transmitted to a plurality of user terminals.

In addition, the service server analyzes and stores the user's purchase pattern in real time in all channels including online, offline, and mobile, and the user's age, current location, current season, user's gender, user's store visit record, user Big data is created and stored along with user-related information including life pattern of the user, user's occupation, and user's body information, and future user's purchasing pattern is predicted based on the big data.

A plurality of user terminals receives store-related information from a plurality of omni sensors and transmits them to the service server, receives advertisement-related instructions according to the store-related information from the service server, and transmits them to the omni sensors of the corresponding stores, respectively.

When each user terminal is located within a predetermined range from the first store among a plurality of stores, the advertisement-related instructions are received from the omni sensor installed in the first store through the application installed on each user terminal and displayed as a notification.

The device described above may be implemented as a hardware component, a software component, and/or a combination of the hardware component and the software component. For example, devices and components described in the embodiments may include, for example, a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable array (FPA), It may be implemented using one or more general purpose or special purpose computers, such as a programmable logic unit (PLU), microprocessor, or any other device capable of executing and responding to instructions. The processing device may execute an operating system (OS) and one or more software applications running on the operating system. A processing device may also access, store, manipulate, process, and generate data in response to execution of the software. For convenience of understanding, although one processing device is sometimes described as being used, one of ordinary skill in the art will recognize that the processing device includes a plurality of processing elements and/or a plurality of types of processing elements. It can be seen that can include For example, the processing device may include a plurality of processors or one processor and one controller. Other processing configurations are also possible, such as parallel processors.

Software may comprise a computer program, code, instructions, or a combination of one or more thereof, which configures a processing device to operate as desired or is independently or collectively processed You can command the device. The software and/or data may be any kind of machine, component, physical device, virtual equipment, computer storage medium or apparatus, to be interpreted by or to provide instructions or data to the processing device. may be embodied in The software may be distributed over networked computer systems and stored or executed in a distributed manner. Software and data may be stored in one or more computer-readable recording media.

The method according to the embodiment may be implemented in the form of program instructions that can be executed through various computer means and recorded in a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, etc. alone or in combination. The program instructions recorded on the medium may be specially designed and configured for the embodiment, or may be known and available to those skilled in the art of computer software. Examples of the computer-readable recording medium include magnetic media such as hard disks, floppy disks and magnetic tapes, optical media such as CD-ROMs and DVDs, and magnetic such as floppy disks. - includes magneto-optical media, and hardware devices specially configured to store and execute program instructions, such as ROM, RAM, flash memory, and the like. Examples of program instructions include not only machine language codes such as those generated by a compiler, but also high-level language codes that can be executed by a computer using an interpreter or the like.

As described above, although the embodiments have been described with reference to the limited embodiments and drawings, various modifications and variations are possible from the above description by those skilled in the art. For example, the described techniques are performed in an order different from the described method, and/or the described components of the system, structure, apparatus, circuit, etc. are combined or combined in a different form than the described method, or other components Or substituted or substituted by equivalents may achieve an appropriate result.

Therefore, other implementations, other embodiments, and equivalents to the claims are also within the scope of the following claims.

Claims (6)

It is installed in a plurality of stores to manage each store-related information including the customer status, reservation status, and product status of the store, and remotely transmits the store-related information to the service server through the first user terminal among the plurality of user terminals, , A plurality of omni sensors for receiving the promotion-related instructions according to the store-related information through the first user terminal and transmitting to a plurality of other user terminals within a predetermined range from the store;
A plurality of user terminals for receiving store-related information from a plurality of omni sensors and transmitting them to the service server, and receiving advertisement-related instructions according to the store-related information from the service server, respectively, to the omni sensor of the store; and
A service server that receives store-related information from a plurality of omni sensors through a first user terminal among a plurality of user terminals, and transmits promotional-related instructions according to the store-related information to the omni sensor of the store through the first user terminal
A system for providing products and services based on big data, including According to claim 1,
Each user terminal,
When it is located within a predetermined range from the first store among a plurality of stores, it receives promotional instructions from the omni sensor installed in the first store through an application installed in each user terminal and displays it as a notification.
A system for providing products and services based on big data. According to claim 1,
Each user terminal,
an input unit for receiving store information required by the user;
Store information required by the input user and user-related information including the user's age, current location, current season, user's gender, user's store visit record, user's life pattern, user's occupation, and user's body information an analysis unit that selects and displays a plurality of PR-related instructions through AI; and
Information providing unit that recommends a plurality of selected promotional instructions to the user
A system for providing products and services based on big data, including 4. The method of claim 3,
analysis department,
When the store information required by the user is input through the input unit, a plurality of stores or corresponding promotion-related instructions within a predetermined range are selected through AI, and store-related information for a plurality of stores or the relevant promotion-related instructions weights are given to each store according to the
The information provider,
Recommend multiple stores to the user according to the weighted weight, and display the relevant promotional instructions.
A system for providing products and services based on big data. According to claim 1,
service server,
Analyze and store user's purchasing patterns in real time in all channels including online, offline, and mobile, and according to the analysis results, send promotional instructions to use for in-store promotions, and multiple in real time to increase purchase rate to send publicity related instructions to the user terminal of
A system for providing products and services based on big data. According to claim 1,
service server,
Analyzes and stores the user's purchase pattern in real time in all channels including online, offline, and mobile, the user's age, current location, current season, user's gender, user's store visit history, user's lifestyle, and user It creates and stores big data along with user-related information including the user's occupation and user's body information, and predicts future users' purchasing patterns based on big data.
A system for providing products and services based on big data.

Images