KR20230115509A - Smart sales stand for space-sharing unmanned store and its operation method - Google Patents

Abstract

A smart sales stand for a space-sharing unmanned store according to an embodiment of the present invention includes an inventory management module for generating product inventory management information based on product information stored on a product shelf and sold product information; A POS App module that performs product payment processing, sales management, and settlement management; a consumer response collection module that manages product-specific response information by collecting consumers' responses to products through a camera and audio input means; A product recommendation module that analyzes product-specific sales management and response information to provide product display and product recommendation information; and a smart information transmission/reception module for transmitting the information collected in each module to at least one of the server of the management system and the smart management information of an affiliated store, manager, or seller's mobile device. includes

Description

Smart sales stand for space-sharing unmanned store and its operation method

The present invention relates to a smart sales counter and an operation method thereof. More specifically, the present invention relates to a smart sales counter for a space-sharing unmanned store that implements product display, sales payment, and inventory management of a shop-in-shop-based unmanned store and an operation method thereof.

Shop-in-Shop refers to a business method in which products are sold by creating another shop within an offline store that sells products. Recently, along with the diversification trend of offline stores, the demand to increase the utilization of space within the store is increasing, and the number of shop-in-shop stores is increasing.

Shop-in-shop stores have the advantage of diversifying product groups and attracting new customers by adding new types of product lineups while original stores retain existing customers.

However, since a shop-in-shop store has two different stores coexisting in one space, it must be designed in consideration of correlation and synergy with the original store. In addition, since a shop-in-shop store is also an offline store located in a specific location, it is desirable to configure and market products based on spatial information such as a nearby commercial district or a floating population. Existing shop-in-shop stores were planned in an out-of-the-box way without considering synergies and spatial information with these original stores, so it is necessary to provide a solution that can compensate for this.

A technical problem to be solved through the embodiments of the present invention is a shop-in-shop-based store management method and system that designs products and branding suitable for the store space by performing AI data analysis based on shop-in-shop store space information and visitor information. is to provide

Another technical problem to be solved through the embodiments of the present invention is to analyze the sales effect and inventory status of the shop-in-shop store using the sales information of the shop-in-shop store, and based on this, shop-in-shop basis for guiding renewal and logistics management of the shop-in-shop store To provide a store management method and system.

In addition, in implementing the above tasks, the present invention automatically collects information including product display, product inventory identification, payment processing, and consumers' product reaction in the shop shop store, and transmits it to the watch system so that automatic management is achieved It is to provide a smart sales stand for a space-sharing unmanned store and its operation method.

A shop-in-shop-based unmanned store system using store space sharing according to an embodiment of the present invention for solving the above problems includes a shared space registration module that receives space information and store information of an affiliated store; a space/product matching module that analyzes the space information and store information and matches products to be handled in the shop-in-shop unmanned store; A smart shelf recommendation module for customarily recommending an unmanned store installation location, sales counter, and interior based on product information matched with the space information; A logistics and sales management module that collects product sales and inventory information and payment information through the smart shelf, and performs product warehousing and inventory management and profit distribution management; includes

In addition, the shop-in-shop-based store management system includes a space/product matching module that recommends products for sale in the store based on space information, product information, and visitor information, and proposes renewal of products for sale by analyzing product sales details of the store. A product association analysis module, an image analysis module for recommending a design and installation location of the store by analyzing the image of the original store where the store entered in the form of a shop-in-shop, and receiving an online order for products sold in the store, and the online A logistics management module for managing delivery of goods according to orders may be included.

In addition, the smart sales stand for the space-sharing unmanned store includes an inventory management module for generating product inventory management information based on product information stored on the product shelf and sold product information; A POS App module that performs product payment processing, sales management, and settlement management; a consumer response collection module that manages product-specific response information by collecting consumers' responses to products through a camera and audio input means; A product recommendation module that analyzes product-specific sales management and response information to provide product display and product recommendation information; and a smart information transmission/reception module for transmitting the information collected in each module to at least one of the server of the management system and the smart management information of an affiliated store, manager, or seller's mobile device. includes

According to an embodiment of the present invention, it is possible to maximize customer attraction and sales of a shop-in-shop store by designing and proposing products and branding suitable for the store space of the shop-in-shop store.

In addition, shop-in-shop store operation efficiency can be improved by guiding renewal and logistics management of the shop-in-shop store based on the sales effect and inventory status of the shop-in-shop store.

In addition, a data-based one-stop solution that can automatically manage shop-in-shop store entry, marketing, and inventory management can be provided.

1 is a block diagram illustrating a store management system according to an embodiment of the present invention.
FIG. 2 is a diagram schematically illustrating the main functions and concepts of the store management system of FIG. 1 .
FIG. 3 is a diagram for explaining the function and configuration of the space/product matching module shown in FIG. 1 in more detail.
FIG. 4 is a diagram for explaining the function and configuration of the product association analysis module shown in FIG. 1 in more detail.
FIG. 5 is a diagram for explaining functions and configurations of the image analysis module shown in FIG. 1 in more detail.
6 is a diagram for explaining the function and configuration of the logistics management module shown in FIG. 1 in more detail.
7 is a diagram for explaining an example in which a store management system according to an embodiment of the present invention is implemented as a computing device.

The following merely illustrates the principles of the present invention. Therefore, those skilled in the art can invent various devices that embody the principles of the present invention and fall within the concept and scope of the present invention, even though not explicitly described or shown herein. In addition, it is to be understood that all conditional terms and embodiments listed herein are, in principle, expressly intended only for the purpose of making the concept of the present invention understood, and not limited to such specifically listed embodiments and conditions. It should be.

Further, it should be understood that all detailed descriptions reciting specific embodiments, as well as principles, aspects and embodiments of the present invention, are intended to encompass structural and functional equivalents of these matters. In addition, it should be understood that such equivalents include not only currently known equivalents but also equivalents developed in the future, that is, all devices invented to perform the same function regardless of structure.

Thus, for example, the block diagrams herein are to be understood as representing conceptual views of exemplary circuits embodying the principles of the present invention. Similarly, all flowcharts, state transition diagrams, pseudo code, etc., are meant to be tangibly represented on computer readable media and represent various processes performed by a computer or processor, whether or not the computer or processor is explicitly depicted. It should be.

The functions of various elements shown in the drawings including functional blocks represented by processors or similar concepts may be provided using dedicated hardware as well as hardware capable of executing software in conjunction with appropriate software. When provided by a processor, the functionality may be provided by a single dedicated processor, a single shared processor, or a plurality of separate processors, some of which may be shared.

In addition, the explicit use of terms presented as processor, control, or similar concepts should not be construed as exclusively citing hardware capable of executing software, but without limitation, digital signal processor (DSP) hardware, ROM for storing software (ROM), random access memory (RAM) and non-volatile memory. Other hardware for the governor's use may also be included.

In the claims of this specification, components expressed as means for performing the functions described in the detailed description include, for example, a combination of circuit elements performing the functions or all types of software including firmware/microcode, etc. It is intended to include any method that performs the function of performing the function, combined with suitable circuitry for executing the software to perform the function. Since the invention defined by these claims combines the functions provided by the various enumerated means and is combined in the manner required by the claims, any means capable of providing such functions is equivalent to that discerned from this disclosure. should be understood as

The above objects, features and advantages will become more apparent through the following detailed description in conjunction with the accompanying drawings, and accordingly, those skilled in the art to which the present invention belongs can easily implement the technical idea of the present invention. There will be. In addition, in describing the present invention, if it is determined that a detailed description of a known technology related to the present invention may unnecessarily obscure the subject matter of the present invention, the detailed description will be omitted.

Hereinafter, a preferred embodiment according to the present invention will be described in detail with reference to the accompanying drawings.

1 is a block diagram illustrating a store management system according to an embodiment of the present invention.

The store management system 100 according to an embodiment of the present invention collects space information 10, product information 20, and visitor information 30, and based on this, sells products suitable for a shop-in-shop store, sales stand design, and installation location , Suggests/recommends sales product renewal to the affiliated store terminal 200. In addition, the store management system 100 may receive an online order from the user terminal 300 and manage product release and inventory accordingly.

The store management system 100 may be connected to the affiliated store terminal 200 or the user terminal 300 through a wired/wireless network and communicate with each other in order to provide store management services according to an embodiment of the present invention. there is.

Here, each network is a Local Area Network (LAN), a Wide Area Network (WAN), a Value Added Network (VAN), a Personal Area Network (PAN), a mobile communication network ( It can be implemented in all types of wired/wireless networks, such as a mobile radiocommunication network) or a satellite communication network.

The affiliated store terminal 200 or the user terminal 300 may be any one individual device among a mobile phone, a smart phone, a smart pad, and a PDA (Personal Digital Assistants).

As an embodiment, the spatial information is information about the area around the shop-in-shop store, commercial district information, interior information of the original store in which the shop-in-shop store is located, information on the size and location of the original store in the shop-in-shop store, or other stores nearby the shop-in-shop store information may be included.

As an example, the product information may include product name information, product group information, product description information of products available for sale through a shop-in-shop store, or sales detail information of products sold through a shop-in-shop store.

As an example, the visitor information may include information on the number of visitors to a shop-in-shop store, information on time of visit, gender information of visitors, information on visitor characteristics, or information on age groups of visitors.

The store management system 100 may include a space/product matching module 110 , a product association analysis module 120 , an image analysis module 130 , and a logistics management module 140 . However, this is an example of some configurations of the store management system 100, and the scope of the present invention is not limited thereto. For example, the store management system 100 may not include some components of the space/product matching module 110, the product association analysis module 120, the image analysis module 130, and the logistics management module 140. and may further include other configurations.

The store management system 100 is machine learning-based artificial intelligence that provides sales product suggestions optimized for shop-in-shop stores, counter design and installation location suggestions, or sales product renewal suggestions through learning of space information, product information, or visitor information. model can be included. For example, at least some of the space/product matching module 110, product association analysis module 120, image analysis module 130, or logistics management module 140 of FIG. 1 are machine learning-based artificial intelligence models. can be implemented Specific configurations and functions of the space/product matching module 110, the product association analysis module 120, the image analysis module 130, or the logistics management module 140 will be described in detail with reference to FIG. 2 and below.

FIG. 2 is a diagram schematically illustrating the main functions and concepts of the store management system of FIG. 1 .

Referring to FIG. 2, the store management system collects spatial information, product information, visitor information, sales information, or public information from affiliated store terminals, user terminals, or external databases, and then analyzes it with an AI-based matching algorithm to shop in shop We recommend products and shelf designs that are best suited to your store space and brand. For a detailed description of this function, reference is made to FIG. 3 below.

FIG. 3 is a diagram for explaining the function and configuration of the space/product matching module shown in FIG. 1 in more detail.

Referring to FIG. 3 , the space/product matching module 110 recommends or suggests a product for sale in a shop-in-shop store based on space information 10 , product information 20 , or visitor information 30 . The space/product matching module 110 recommends a product to be displayed on a sales stand using a space/product matching algorithm and updates the space/product matching algorithm by receiving feedback of product sales results through the sales stand.

As an embodiment, the space/commodity matching algorithm may be an artificial intelligence model based on machine learning. For example, the space/product matching algorithm receives space information 10, product information 20, and visitor information 30 as learning data, performs data preprocessing such as standardization or normalization on the learning data, , It may be an artificial intelligence model learned through a series of steps of extracting features from the preprocessed data and performing model learning based on the extracted features.

As an embodiment, the space/commodity matching algorithm may be an artificial intelligence model learned according to a Support Vector Machine (SVM) algorithm.

FIG. 4 is a diagram for explaining the function and configuration of the product association analysis module shown in FIG. 1 in more detail.

Referring to FIG. 4 , the product association analysis module 120 recommends or proposes renewal of products sold in shop-in-shop stores based on product sales details 21 . The product association analysis module 120 recommends renewal of products at the sales counter using the product association analysis algorithm, and updates the product association analysis algorithm by receiving feedback of a sales result of the renewed product.

As an embodiment, the product association analysis algorithm may be a machine learning-based artificial intelligence model. For example, the product association analysis algorithm receives product sales details 21 as learning data, performs data preprocessing such as standardization or normalization on the learning data, and performs model learning using the preprocessed data. It can be an artificial intelligence model learned through a series of steps.

As an embodiment, the product association analysis algorithm may be an artificial intelligence model learned according to an association analysis algorithm (Association Rule).

FIG. 5 is a diagram for explaining functions and configurations of the image analysis module shown in FIG. 1 in more detail.

Referring to FIG. 5 , the image analysis module 130 includes an AI analysis unit 131 and a sales stand template management unit 132 .

The image analysis module 130 receives a store picture registered through the affiliated store terminal 200, extracts an image from the store picture, and provides it to the AI analysis unit 131.

The AI analysis unit 131 extracts features such as an object, object color, or object distance from an image and learns an artificial intelligence model based thereon. As an embodiment, the artificial intelligence model of the AI analysis unit 131 may be a Convolution Neural Network (CNN)-based model. When the learning of the artificial intelligence model is completed, the AI analysis unit 131 recommends a sales counter design and installation location suitable for a shop-in-shop store using this. At this time, the AI analysis unit 131 provides a store photo or image and template information of the original store where the shop-in-shop store is located as input data of the artificial intelligence model, and output results of the artificial intelligence model accordingly to the affiliated store terminal ( 200) is returned.

The sales stand template manager 132 manages template information provided as input data of the AI analyzer 131 . The sales counter template management unit 132 stores a plurality of templates including the sales counter material, shape, size, or color as main design elements and selectively provides at least some of them to the AI analysis unit 131 as template information.

6 is a diagram for explaining the function and configuration of the logistics management module shown in FIG. 1 in more detail.

Referring to FIG. 6 , the logistics management module 140 includes a sales management unit 141 , a logistics management unit 142 , a delivery management unit 143 , and an order management unit 144 .

The sales management unit 141 performs product management and sales management of the shop-in-shop store. Specifically, the sales manager 141 provides product information to the affiliated store mobile POS app 50 and receives product sales information from the affiliated store mobile POS app 50 . The received product sales information is provided to the logistics management unit 142 and used for inventory management.

The logistics management unit 142 performs product warehousing management, inventory management, and order management. The logistics management unit 142 performs product inventory management based on product sales information, and proceeds with order management through a method of requesting an order to the product supplier server 70 when insufficient inventory occurs. When a new product is received from a product supplier according to an order request, the logistics management unit 142 stores and processes it, and the result is reflected in inventory management.

As an embodiment, when a product order request is made to the product provider server 70, order information and cost settlement information may be automatically notified through an SNS messenger.

The order management unit 144 performs online order management and product release management. The order management unit 144 receives an online order from the user terminal 300 and issues a product release instruction according to the received online order. When the actual product is shipped according to the product release instruction, the release information is transmitted to the delivery management unit 143 .

The delivery management unit 143 performs dispatch management, delivery management, and courier management for product delivery. The delivery management unit 143 manages dispatch and delivery for delivery of outgoing products through its own logistics system, and provides dispatch information or delivery information accordingly to the mobile delivery app 60 or the user terminal 300. . The delivery management unit 143 handles parcel delivery and manages the waybill for delivery of products through an external delivery system, and provides delivery information indicating the delivery status and the waybill to the user terminal 300 . As an embodiment, the delivery information may interwork with an external courier company's waybill management system.

According to the store management system described above, it is possible to maximize customer attraction and sales of the shop-in-shop store by designing and proposing products and branding suitable for the store space of the shop-in-shop store. In addition, shop-in-shop store operation efficiency can be improved by guiding renewal and logistics management of the shop-in-shop store based on the sales effect and inventory status of the shop-in-shop store. In addition, a data-based one-stop solution that can automatically manage shop-in-shop store entry, marketing, and inventory management can be provided.

Hereinafter, an exemplary computing device 500 in which a store management system according to various embodiments of the present disclosure is implemented will be described with reference to FIG. 7 .

7 is an exemplary hardware configuration diagram illustrating a computing device 500 .

As shown in FIG. 7, the computing device 500 loads one or more processors 510, a bus 550, a communication interface 570, and a computer program 591 executed by the processor 510. It may include a memory 530 and a storage 590 for storing the computer program 591. However, only components related to the embodiment of the present invention are shown in FIG. 7 . Therefore, those skilled in the art to which the present invention pertains can know that other general-purpose components may be further included in addition to the components shown in FIG. 7 .

The processor 510 controls the overall operation of each component of the computing device 500 . The processor 510 may include at least one of a Central Processing Unit (CPU), a Micro Processor Unit (MPU), a Micro Controller Unit (MCU), a Graphic Processing Unit (GPU), or any type of processor well known in the art. can be configured to include Also, the processor 510 may perform an operation for at least one application or program for executing a method/operation according to various embodiments of the present disclosure. Computing device 500 may include one or more processors.

Memory 530 stores various data, commands and/or information. Memory 530 may load one or more programs 591 from storage 590 to execute methods/operations according to various embodiments of the present invention. An example of the memory 530 may be RAM, but is not limited thereto.

The bus 550 provides a communication function between components of the computing device 500 . The bus 550 may be implemented as various types of buses such as an address bus, a data bus, and a control bus.

The communication interface 570 supports wired and wireless Internet communication of the computing device 500 . The communication interface 570 may support various communication methods other than Internet communication. To this end, the communication interface 570 may include a communication module well known in the art.

Storage 590 may non-temporarily store one or more computer programs 591 . The storage 590 may be a non-volatile memory such as read only memory (ROM), erasable programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), flash memory, or the like, a hard disk, a removable disk, or a device well known in the art. It may be configured to include any known type of computer-readable recording medium.

Computer program 591 may include one or more instructions for implementing methods/operations according to various embodiments of the present invention. When computer program 591 is loaded into memory 530, processor 510 may execute the one or more instructions to perform methods/acts according to various embodiments of the present invention.

The method according to the present invention described above may be produced as a program to be executed on a computer and stored in a computer-readable recording medium. Examples of the computer-readable recording medium include ROM, RAM, CD-ROM, and magnetic tape. , floppy disks, and optical data storage devices.

The computer-readable recording medium is distributed to computer systems connected through a network, so that computer-readable codes can be stored and executed in a distributed manner. In addition, functional programs, codes, and code segments for implementing the method can be easily inferred by programmers in the technical field to which the present invention belongs.

In addition, although the preferred embodiments of the present invention have been shown and described above, the present invention is not limited to the specific embodiments described above, and the technical field to which the present invention belongs without departing from the gist of the present invention claimed in the claims. Of course, various modifications can be made by those skilled in the art, and these modifications should not be individually understood from the technical spirit or perspective of the present invention.

Claims (2)

In a smart sales stand for a space-sharing unmanned store,
An inventory management module for generating product inventory management information based on product information stored on the product shelf and sold product information;
A POS App module that performs product payment processing, sales management, and settlement management;
a consumer response collection module that manages product-specific response information by collecting consumers' responses to products through a camera and audio input means;
A product recommendation module that analyzes product-specific sales management and response information to provide product display and product recommendation information; and
A smart information transmitting and receiving module for transmitting the information collected in each module to at least one of the server of the management system and the smart management information of an affiliated store, a manager, and a seller's mobile; containing
Smart sales counter for space-sharing unmanned stores.
In the operation method of a smart sales stand for a space-sharing unmanned store,
An inventory management step of generating product inventory management information based on product information stored on the product shelf and sold product information;
POS App processing step of performing product payment processing, sales management, settlement management;
A consumer response collection step of collecting consumer's response to the product through a camera and audio input means and managing product-specific response information;
A product recommendation step of analyzing sales management and response information by product to provide product display and product recommendation information and advertisement transmission through a monitor; and
Smart information transmission and reception step of transmitting the information collected in each module to at least one of the server of the management system and the smart management information of the affiliated store, manager, and mobile seller; containing
Operation method of smart sales stand for space sharing unmanned store.