KR102597960B1 - Method for recommend product display locations in unmanned stores - Google Patents

Abstract

A method of recommending product display locations in an unmanned store performed by a server according to an embodiment of the present invention includes the steps of: (a) receiving product identification information, product price, and expiration date from a store manager terminal; (b) receiving display location information about where products are displayed from a store manager terminal, and matching and storing the product identification information and inventory information for the products; (c) receiving the sales performance of each product for a preset period from the store manager terminal; and (d) recommending a change in the display location by transmitting the changed display location of the product to the manager terminal based on the sales performance and expiration date information for each product.

Description

{METHOD FOR RECOMMEND PRODUCT DISPLAY LOCATIONS IN UNMANNED STORES}

The present invention relates to a method of recommending product display locations in unmanned stores. More specifically, among the products sold in unmanned stores, the region where the store is located, the gender and age of the visiting buyer, the products most sold in the store, and the distribution of the products. It concerns a method of comprehensively understanding and analyzing deadlines, etc., and recommending products so that they can be displayed in the optimal location.

The size of the domestic unmanned store market in 2021 is estimated to be approximately 1 trillion won, and is currently continuing to increase. Most unmanned stores do not have a manager and are managed by one person, so if the store is large, it is not easy to check the expiration date of each product. Therefore, products may be discarded after their expiration date without the manager being aware of them. This is because in the conventional case, barcodes only contained product identification information and price information and did not have expiration date information, making it difficult to manage them systematically.

Additionally, product sales performance may differ depending on the product display location, which cannot be known unless data on product sales performance according to location is obtained. The sales performance of a specific product may vary by region, and this can be known by comprehensively analyzing the gender, age, frequently purchased products, and visit frequency of visiting customers.

Therefore, it is necessary to analyze sales performance and display highly popular products in locations where customers can easily find them, or to display products with a short expiration date first.

KR 2019-0008782 A (Publication date: 2019.01.25, Title of invention: Method for providing smart logistics management service using smart Kanban)

The present invention is intended to solve the problems of the prior art described above, by encouraging a change in the location of products with high sales performance and products nearing their expiration date, thereby increasing the sales performance of different popular products in each store, and disposing of products after their expiration date. The goal is to reduce the number of products.

However, the technical challenge that this embodiment aims to achieve is not limited to the technical challenges described above, and other technical challenges may exist.

As a technical means for achieving the above-described technical problem, in the method of recommending product display positions in an unmanned store performed by a server according to the first embodiment of the present invention, (a) product identification information, product receiving price and expiration date; (b) receiving display location information about where products are displayed from a store manager terminal, and matching and storing the product identification information and inventory information for the products; (c) receiving the sales performance of each product for a preset period from the store manager terminal; and (d) recommending a change in the display location by transmitting the changed display location of the product to the manager terminal based on the sales performance and expiration date information for each product.

In addition, in step (a), the barcode scanner recognizes the barcode of the product to extract product identification information and price information, and the barcode scanner recognizes the expiration date information identification sticker to extract the expiration date, and the manager terminal It includes the step of transmitting product identification information, price information, and expiration date received from the barcode scanner to the server.

In addition, in step (b), after receiving display location information manually entered by the manager from the manager terminal or receiving images of displayed products from the manager terminal, identification information of products included in the image , size, and display location information are extracted, and the display location information includes display stand identification information, shelf layer information within the display stand, and display coordinate information within the shelf layer.

In addition, in step (b), for each product, a DB is pre-built in which images taken from various directions of the product, the size of the product and product identification information are matched and stored, and after receiving the image, After identifying the shelf identification information and the areas of multiple objects, compare the images in the area of each object with the images in the DB to identify which product is located in the object area and what its size value is, and identify the display area where the object area is located. By matching the location information value with the identification information of the identified product, the display location information of each product is stored.

In addition, in step (b), when the display location information has a value known in advance, the display location information is pre-stored in the server, and the store manager selects the product according to the pre-stored display location information. Put on display.

In addition, step (c) further includes the step of extracting the information of the purchasing customer during a preset period, and the step of extracting the information of the purchasing customer includes the manager terminal receiving information previously entered by the customer purchasing the product. Based on customer information or information extracted by the store's camera, the customer's gender, age, frequently purchased products, and customer movement information are collected.

In addition, the step of extracting the purchasing customer information is (c-1) the purchasing customer information for each product purchased based on the information of the purchased product entered by the customer through the unmanned kiosk, payment card information, and previously entered customer information. Collect information on gender and age, and based on this, collect information on frequently purchased products, or (c-2) collect information about the frequency of customer visits, gender of main customers, and customer's kitchen visit time through the store's camera. Collect information.

In addition, in step (d), the changed display location information is set in consideration of at least one of the expiration date, gender of the main purchasing customer, product margin rate, product sales ranking, product size, and shelf location corresponding to the customer's eye level. .

In addition, the shelf position corresponding to the customer's eye level has different values depending on the customer's gender, and when the expiration date for each product is shorter than the preset period, it is recommended to change the display position among the products first.

An apparatus for recommending product display positions in an unmanned store performed by a server, comprising: a memory storing a program related to a method for recommending product display positions in an unmanned store; and a processor for executing the program, the method comprising: (a) receiving product identification information, product price, and expiration date from a store manager terminal; (b) receiving display location information about where products are displayed from a store manager terminal, and matching and storing the product identification information and inventory information for the products; (c) receiving the sales performance of each product for a preset period from the store manager terminal; and (d) recommending a change in the display location by transmitting the changed display location of the product to the manager terminal based on the sales performance and expiration date information for each product.

The present invention is intended to solve the problems of the prior art described above, by encouraging a change in the location of products with high sales performance and products nearing their expiration date, thereby increasing the sales performance of different popular products in each store, and disposing of products after their expiration date. By reducing the number of products, you can reduce unnecessary spending.

Figure 1 is a structural diagram of a method for recommending product display locations in an unmanned store according to an embodiment of the present invention.
Figure 2 is a structural diagram of a server for a method of recommending product display locations in an unmanned store according to an embodiment of the present invention.
Figure 3 is a flowchart showing the process of a product display location recommendation method in an unmanned store according to an embodiment of the present invention.
Figure 4 is an exemplary diagram showing a time barcode according to an additional embodiment of the present invention.
Figure 5 is a table for changing the display position of products in the product display position recommendation method of an unmanned store according to an embodiment of the present invention.
Figure 6 is an exemplary diagram showing the location of store shelves in a method of recommending product display positions in an unmanned store according to an embodiment of the present invention.
Figure 7 is an exemplary diagram showing recommended product positions on a shelf in a method of recommending product display positions in an unmanned store according to an embodiment of the present invention.
Figure 8 is a structural diagram of a method for providing product recommendations in an unmanned pet supply store using public big data according to an additional embodiment of the present invention.
Figure 9 is a structural diagram of a product recommendation system for a method of providing product recommendations for an unmanned pet product store using public big data according to an additional embodiment of the present invention.
Figure 10 is a flowchart showing the overall process of a method for providing product recommendations for an unmanned pet supply store using public big data according to an additional embodiment of the present invention.
Figure 11 is a flowchart showing the process of collecting product sales status in a method of providing product recommendations at an unmanned pet supply store using public big data according to an additional embodiment of the present invention.

Below, with reference to the attached drawings, embodiments of the present invention will be described in detail so that those skilled in the art can easily implement the present invention. However, the present invention may be implemented in many different forms and is not limited to the embodiments described herein. In order to clearly explain the present invention in the drawings, parts that are not related to the description are omitted, and similar parts are given similar reference numerals throughout the specification.

Throughout the specification, when a part is said to be "connected" to another part, this includes not only the case where it is "directly connected," but also the case where it is "electrically connected" with another element in between. . Additionally, when a part "includes" a certain component, this means that it may further include other components rather than excluding other components, unless specifically stated to the contrary.

In this specification, 'part' includes a unit realized by hardware, a unit realized by software, and a unit realized using both. Additionally, one unit may be realized using two or more pieces of hardware, and two or more units may be realized using one piece of hardware. Meanwhile, '~ part' is not limited to software or hardware, and '~ part' may be configured to reside in an addressable storage medium or may be configured to reproduce one or more processors. Therefore, as an example, '~ part' refers to components such as software components, object-oriented software components, class components, and task components, processes, functions, properties, and procedures. , subroutines, segments of program code, drivers, firmware, microcode, circuits, data, databases, data structures, tables, arrays, and variables. The functions provided within the components and 'parts' may be combined into a smaller number of components and 'parts' or may be further separated into additional components and 'parts'. Additionally, components and 'parts' may be implemented to regenerate one or more CPUs within a device or a secure multimedia card.

The “user terminal” mentioned below may be implemented as a computer or portable terminal that can connect to a server or other terminal through a network. Here, the computer is, for example, a laptop equipped with a web browser, a desktop, a laptop, a VR HMD (e.g., HTC VIVE, Oculus Rift, GearVR, DayDream, PSVR, etc.), etc. may include. Here, VR HMD is for PC (e.g. HTC VIVE, Oculus Rift, FOVE, Deepon, etc.), mobile (e.g. GearVR, DayDream, Storm Magic, Google Cardboard, etc.), and console (PSVR). Includes independently implemented Stand Alone models (e.g. Deepon, PICO, etc.). Portable terminals are, for example, wireless communication devices that ensure portability and mobility, including smart phones, tablet PCs, and wearable devices, as well as Bluetooth (BLE, Bluetooth Low Energy), NFC, RFID, and ultrasonic devices. , may include various devices equipped with communication modules such as infrared, WiFi, and LiFi. In addition, “network” refers to a connection structure that allows information exchange between nodes such as terminals and servers, including a local area network (LAN), a wide area network (WAN), and the Internet. (WWW: World Wide Web), wired and wireless data communication network, telephone network, wired and wireless television communication network, etc. Examples of wireless data communication networks include 3G, 4G, 5G, 3GPP (3rd Generation Partnership Project), LTE (Long Term Evolution), WIMAX (World Interoperability for Microwave Access), Wi-Fi, Bluetooth communication, infrared communication, and ultrasound. This includes, but is not limited to, communication, Visible Light Communication (VLC), LiFi, etc.

<Example of product display location recommendation in unmanned stores>

First, with reference to Figure 1, the structure of the product display location recommendation method for an unmanned store according to an embodiment of the present invention will be described.

Referring to FIG. 1, a method of recommending product display locations in an unmanned store may include a barcode scanner 100 for managers, a server 200, a manager terminal 300, and a kiosk 400.

The barcode scanner 100 for managers can extract product identification information, price information, and expiration date by recognizing barcodes and expiration date information identification stickers of products delivered to unmanned stores.

The manager terminal 300 may receive the product identification information, price information, and expiration date extracted by the manager barcode scanner 100 and transmit them to the server 200. Additionally, product display location information can be entered manually or images taken of displayed products can be transmitted to the server 200.

The kiosk 400 allows customers to directly check out the products on display. The kiosk 400 has a barcode scanner installed in one area of the kiosk 400, and when a customer scans the barcode of a product into the barcode scanner, the amount is calculated and payment can be made using the customer's payment method.

Hereinafter, the structure of a server according to an embodiment of the present invention will be described with reference to FIG. 2.

Referring to FIG. 2, the server 200 according to an embodiment of the present invention includes a memory 210, a processor 220, and a communication module 230.

The memory 210 stores at least one of information and data input to the communication module 230, information and data required for functions performed by the processor 220, and data generated according to execution of the processor 220. You can. Memory 210 should be interpreted as a general term for non-volatile storage devices that continue to retain stored information even when power is not supplied and volatile storage devices that require power to maintain stored information. Additionally, the memory 210 may perform a function of temporarily or permanently storing data processed by the processor 220. The memory 210 may include magnetic storage media or flash storage media in addition to volatile storage devices that require power to maintain stored information, but the scope of the present invention is not limited thereto. no.

The memory 210 stores a product display location recommendation program and links sales performance and expiration date information received from the manager terminal 300 through the processor 220 to the program. The name of the program is set for convenience of explanation, and the name itself does not limit the function of the program.

The processor 220 is configured to execute a program stored in the memory 210. The processor 220 may include various types of devices that control and process data. The processor 220 may refer to a data processing device built into hardware that has a physically structured circuit to perform functions expressed by codes or instructions included in a program. In one example, the processor 220 may include a microprocessor (microprocessor), a central processing unit (CPU), a processor core, a multiprocessor, or an application-specific integrated circuit (ASIC). , FPGA (field programmable gate array), etc., but the scope of the present invention is not limited thereto.

The processor 220 is configured to perform the detailed processes of the product display location recommendation method for an unmanned store as described below.

The communication module 230 may transmit and receive information with an external database or external device. Here, the external device may be the manager terminal 300. The communication module 230 may include a device including hardware and software required to transmit and receive signals such as control signals or data signals through wired or wireless connections with other network devices.

The communication module 230 transmits the product display location recommendation program stored in the memory 210 provided by the processor 220 of the server 200 to an external database or external device so that it can be linked.

Hereinafter, with reference to FIG. 3, the process of the product display location recommendation method for an unmanned store according to an embodiment of the present invention will be described in detail.

First, product identification information, product price, and expiration date are received from the manager terminal 300 (S310).

The server 200 uses a barcode scanner to recognize the barcode of the product from the in-store manager terminal 300 to extract product identification information and price information, and recognizes the expiration date information identification sticker to extract the expiration date, product identification information, and price information. and expiration date.

A time barcode for product identification information, price information, and expiration date information identification sticker according to an additional embodiment of the present invention will be described below with reference to FIG. 4.

Referring to Figure 4, a time barcode is a barcode that additionally includes expiration date information to an existing barcode. Therefore, it can be configured by adding 5 digits of expiration date information to the existing barcode including the country of origin (country) code, manufacturer code, and product code.

Next, display location information about the location where the product is displayed is received from the manager terminal 300, and the product identification information and product inventory information are matched and stored (S320).

The server 200 receives display location information manually entered by the manager or images taken of displayed products from the in-store manager terminal 300, and provides identification information, size, and display location information of products included in the received images. can be extracted. At this time, the display location information may include display stand identification information, shelf layer information within the display stand, and display coordinate information within the shelf layer.

And for each product, the server 200 has a pre-built DB in which images taken in various directions of the product, the size of the product and product identification information are matched and stored, and after receiving the image from the manager terminal 300, After identifying the shelf identification information and the areas of a plurality of objects, comparing the images in the area of each object with the images in the DB, identify which product is located in the object area and what its size value is, and identify the product located in the object area and what the size value is. By matching the displayed display location information value with the identification information of the identified product, the display location information of each product can be stored.

Additionally, when the display location information has a value known in advance, the display location information is pre-stored in the server 200, and the store manager can display products according to the pre-stored display location information.

Next, sales performance for each product is received from the manager terminal 300 for a preset period (S330).

The sales performance for a preset period that the server 200 receives from the manager terminal 300 may include information on customers purchasing the product. At this time, the customer's information is based on customer information already entered by the customer purchasing the product by the manager terminal 300 or information extracted by the store's camera, such as the customer's gender, age, frequently purchased products, and customer's moving information. can be collected. For example, information on the gender and age of the purchasing customer for each product purchased is based on the customer information including the purchased product information, payment card information, and previously entered gender and age entered by the customer through the unmanned kiosk 400. Based on this, you can collect information about frequently purchased products. And through the store's camera, information on the customer's visit frequency, the gender of the main customer, and the time of the customer's visit to the kitchen can be collected.

Next, based on the sales performance and expiration date information for each product, the changed display location of the product is transmitted to the manager terminal 300 to recommend a change in display location (S340).

Hereinafter, with reference to FIGS. 5 to 7, the recommendation to change the display position of a product in the product display position recommendation method of an unmanned store according to an embodiment of the present invention will be described.

Figure 5 is a table listing information about sold products and their current locations and recommended locations, and Figure 6 is a plan view showing the locations of store shelves. Additionally, Figure 7 is an example diagram showing the recommended position of a product on a shelf.

Referring to Figure 5, product information including sales performance collected during the S330 process and inventory and expiration date information of currently remaining products can be confirmed through a table.

For example, product A has ‘low’ brand awareness, has an expiration date of ‘more than 1 year’ left, and has ‘60 units’ in stock. Additionally, since the average monthly sales volume is '10 units', it can be recommended from the current location 'C-4' to 'C-1'. In addition, product B has 'high' brand awareness, has an expiration date of 'more than 1 year' left, has '25 units' in stock, and an average monthly sales volume of '15 units', so it moves from its current location 'C-1' to ' C-4' can be recommended. Product C has ‘low’ brand awareness, has an expiration date of ‘less than 6 months’, and has ‘80 units’ in stock. Since the average monthly sales volume is '10 units', the location as 'U-2' can be recommended.

Referring to Figure 6 below, it can be seen that among the positions of the store's display shelves, 'Shelf U' is located closest to the entrance door. Therefore, it is recommended that Product C, which has the shortest expiration date remaining, be moved to the second tier of the shelf closest to the entrance so that it can be easily seen by customers, thereby improving sales performance.

Referring to Figure 7 below, you can check the structure of the display stand and the location of the products. In Figure 7, to the left of C-4 and C-1 are the current positions of products A and B. In FIG. 5, the recommended positions of products A and B are C-1 and C-4, respectively, based on expiration date, inventory, and average monthly sales. Accordingly, the recommended positions are products B and A on the right of C-4 and C-1 in Figure 7.

At this time, the changed display location information can be set in consideration of at least one of the expiration date, gender of the main purchasing customer, product margin rate, product sales ranking, product size, and shelf location corresponding to the customer's eye level. Here, the shelf position corresponding to the customer's eye level has different values depending on the customer's gender. Additionally, if the expiration date for each product is shorter than the preset period, changing the display location of the product may be recommended as a top priority.

At this time, the shelf position where the product is actually placed on the shelf is one of the important factors in increasing sales rate. Among the shelf positions on the shelf, the shelf position that corresponds to the customer's eye level can be referred to as the "golden line", and refers to the layer with the highest sales rate among the shelves. Additionally, because there is a difference in the eye level of male and female customers, the "golden line" may vary depending on the gender of the main purchasing customer and the tendency to purchase the product. By understanding this and placing products preferred by major customers on the golden line, sales can be improved.

For example, if the gender of the main purchaser is female and the age group is in the 30s to 40s, products related to pet health food are placed in the “golden line,” and if the main purchasing customer is in the 20s to 30s, products related to pet snacks are placed in the “gold line.” It can be placed on the “golden line”. Additionally, if the product is large, it can be displayed on a lower level, and products that are nearing their expiration date can be placed on the “golden line” with the highest priority.

<Example of product recommendation using public institution big data>

Hereinafter, with reference to FIG. 8, the structure of a method for providing product recommendations in an unmanned pet supply store using public big data according to an additional embodiment of the present invention will be described.

Referring to FIG. 8, a method of providing product recommendations for an unmanned pet product store using public big data may include a manager terminal 300, a product recommendation system 500, and a public institution server 600. Here, the product recommendation system 500 may refer to the same configuration as the server 200 of FIG. 1 described above.

Hereinafter, the structure of a product recommendation system according to an additional embodiment of the present invention will be described with reference to FIG. 9.

The processor 502 of the product recommendation system 500 is configured to perform detailed processes for providing product recommendations for an unmanned pet supply store using public big data.

The communication module 503 of the product recommendation system 500 can transmit and receive information with an external database or external device. Here, the external device may be an administrator terminal 300 or a public institution server 600. The communication module 503 may include a device including hardware and software necessary to transmit and receive signals such as control signals or data signals through wired or wireless connections with other network devices.

The communication module 503 transmits the product recommendation program stored in the memory 501 provided by the processor 502 of the product recommendation system 500 to an external database or external device so that it can be linked.

The public institution server 600 is a server that stores buyer information and companion animal information for each region. Buyer information may include the buyer's age and gender, and pet information may include the total number of pets in each region, the number by type, the average age of the pet, gender, and the pet's disease.

The manager terminal 300 inputs product identification information, price information, display location information, and expiration date information of products displayed in the unmanned store and transmits them to the product recommendation system 500. Then, product identification information for sold products among the displayed products is transmitted to the product recommendation system 500.

Hereinafter, with reference to FIG. 10, the entire process of providing product recommendations in an unmanned pet supply store using public big data according to an additional embodiment of the present invention will be described in detail.

First, buyer information and companion animal information for each region are received from the public institution server (600) (S410). Purchaser information and companion animal information for each region held by the public institution server 600 are replaced with the description of the public institution server 600 in FIG. 8 above.

Next, considering buyer information and pet information, products judged to be in high demand in the area where the store is located are recommended to the manager terminal 300 (S420).

At this time, based on pet disease statistics, pet products for the most common diseases are recommended, the most preferred products are recommended based on the pet's breed and age, or the purchaser's age and gender are considered. This allows you to recommend the most preferred product.

For example, if the area where the store is located has a large number of dogs that are raised outside and engage in agility activities compared to other areas, products such as props for outdoor activities or pest repellent can be recommended. Alternatively, if there are many more dogs than cats in the area where the store is located, allergy food and skin disease care products can be recommended because inventory of allergy food and skin disease care products is sold out quickly due to the number of dog breeds that are relatively more prone to skin diseases than cats.

And after the recommended product is supplied to the unmanned store, product sales status for a predetermined period is collected from the manager terminal 300 (S430). The S430 process will be described with reference to FIG. 11 below.

Referring to FIG. 11 below, it is a flowchart showing the process of collecting product sales status in a method of providing product recommendations at an unmanned pet supply store using public big data according to an additional embodiment of the present invention.

First, after the product is stocked in the unmanned store, product identification information, price information, display location information, and expiration date information about the stocked product are received from the manager terminal 300 (S431). The manager terminal 300 receives the product when the product is stocked. Once done, the product name, product identification information including product size and inventory, product price, expiration date, and current display location information are entered and transmitted to the product recommendation system 500.

Next, product identification information for the sold product is received from the unmanned store manager terminal 300 (S432). When the product is sold, the product identification information for the sold product is transmitted. At this time, since the product identification information includes the product name, size, and inventory, and is also stored in matching price, expiration date, and current display location, only the product identification information of the sold product is transmitted and any changes to the product are recorded. Details can be updated.

Then, for a given period of time, the received product information and the sold product information are compared, the inventory depletion speed information for each product is calculated, and the product sales status is stored (S433) through the product identification information of the sold product transmitted in the S432 process. Compare product information received and product information sold during a given period to calculate inventory depletion speed information for each product. Considering the calculated inventory depletion speed information, calculate the net profit rate for each product during a predetermined period. Calculate the calculated predetermined period. You can store the sales status of individual products by listing the net profit margin rankings for each product.

Next, weights are assigned according to the sales performance of each product recommended within the product sales status (S440). Then, according to the weight, the types or number of products judged to be in high demand are adjusted and re-recommended to the manager terminal 300 (S450). By comparing the ranking of the net profit ratio for each product calculated in the S430 process with the multiple products recommended in the S420 process, the weight for each recommended product is applied differently to each product, so that when re-recommending a product, the previously recommended product is changed. You can change the type or quantity or recommend new products. Additionally, in consideration of the sales performance of the recommended product, feedback information to change the display position of the recommended product can be additionally provided. At this time, the display location may include identification information of a display stand among a plurality of display shelves located in the store and a floor location on a display shelf composed of multiple layers.

The product recommendation system 500 according to an additional embodiment of the present invention can collect store operation information including operating hours of unmanned stores, ranking of products with high purchase rates, repeat visit rate by regular customers, and purchaser price for each product. .

Based on the store operation information collected according to an additional embodiment of the present invention, monitor products that are selling well in other stores, find products that are not in stock in a specific store among the products that are selling well, and use the manager terminal of the specific store ( 300), you can recommend a product.

Based on statistics collected from the unmanned store according to an additional embodiment of the present invention, the time period with the highest sales can be extracted and provided to the unmanned store manager terminal 300.

The embodiment of product display location recommendation in an unmanned store and the embodiment of product recommendation using public institution big data can be combined and implemented. For example, using big data from public institutions, the gender and age of the main purchasing customers in the area where the unmanned store is located, the visiting time of the main purchasing customers, and the types and frequencies of diseases that pets mainly suffer from in the area. Based on the number of pets in the area, we estimate the product expected to be in the highest demand at unmanned stores in the area, and if the product is in stock, we recommend placing the product in an appropriate location. can do.

One embodiment of the present invention may also be implemented in the form of a recording medium containing instructions executable by a computer, such as program modules executed by a computer. Computer-readable media can be any available media that can be accessed by a computer and includes both volatile and non-volatile media, removable and non-removable media. Additionally, computer-readable media may include all computer storage media. Computer storage media includes both volatile and non-volatile, removable and non-removable media implemented in any method or technology for storage of information such as computer-readable instructions, data structures, program modules or other data.

Although the methods and systems of the present invention have been described with respect to specific embodiments, some or all of their components or operations may be implemented using a computer system having a general-purpose hardware architecture.

The description of the present invention described above is for illustrative purposes, and those skilled in the art will understand that the present invention can be easily modified into other specific forms without changing the technical idea or essential features of the present invention. will be. Therefore, the embodiments described above should be understood in all respects as illustrative and not restrictive. For example, each component described as unitary may be implemented in a distributed manner, and similarly, components described as distributed may also be implemented in a combined form.

The scope of the present invention is indicated by the claims described below rather than the detailed description above, and all changes or modified forms derived from the meaning and scope of the claims and their equivalent concepts should be construed as being included in the scope of the present invention. do.

100: Barcode scanner for administrator 200: Server
210: memory 220: processor
230: Communication module 300: Administrator terminal
400: Kiosk 500: Product recommendation system
600: Public institution server

Claims (10)

In the method of recommending product display locations in an unmanned store performed by a server,
(a) receiving product identification information, product price, and expiration date from the store manager terminal;
(b) receiving display location information about where products are displayed from a store manager terminal, and matching and storing the product identification information and inventory information for the products;
(c) receiving the sales performance of each product for a preset period from the store manager terminal; and
(d) based on the sales performance and expiration date information for each product, transmitting the changed display location of the product to the manager terminal to recommend a change in display location;
Including,
In step (a),
The barcode scanner recognizes the product's barcode and extracts product identification information and price information.
The barcode scanner recognizes the expiration date information identification sticker and extracts the expiration date.
A step of the manager terminal transmitting product identification information, price information, and expiration date received from the barcode scanner to a server,
The barcode scanner collectively receives information on the barcode of the product and the expiration date information identification sticker from the time barcode including the product identification information, price information, and expiration date,
The server receives customer information including information on purchased products, payment card information, and gender and age entered by customers visiting the store collected by an unmanned kiosk already installed in the store, and collects the customer information. Based on this, the gender and age information of the purchasing customer is collected for each purchased product, the preferred product information of the customer visiting the store is collected based on the collected gender and age information of the purchasing customer for each purchased product, and the store is Collects customer visit frequency, gender of major customers, and preferred visit time information from pre-installed cameras,
The display position is set at different values based on the customer's eye level and the customer's preferred products, and among the plurality of display positions, the display position corresponding to the customer's eye level is referred to by a preset name,
If the expiration date remains shorter than the preset period, changing the display location of the corresponding product among a plurality of products is given priority,
How to recommend product display locations in unmanned stores. delete According to clause 1,
In step (b),
Receive display location information manually entered by the manager from the manager terminal, or
After receiving images of displayed products from the manager terminal, identification information, size, and display location information of products included in the images are extracted,
The display location information includes display shelf identification information, shelf layer information within the display shelf, and display coordinate information within the shelf layer.
How to recommend product display locations in unmanned stores. According to claim 3,
In step (b),
For each product, a DB is pre-built that stores images taken from various directions of the product, the size of the product, and product identification information.
After receiving the image, identifying shelf identification information and areas of a plurality of objects within the image,
By comparing the images in the area of each object with the images in the DB, identify which product is located in the object area and what its size value is,
Storing the display location information of each product by matching the display location information value where the object area is located and the identification information of the identified product,
How to recommend product display locations in unmanned stores. According to claim 1,
In step (b),
If the display location information has a value known in advance, the display location information is pre-stored in the server,
The store manager displays the products according to pre-stored display location information,
How to recommend product display locations in unmanned stores. According to claim 1,
Step (c) above is
It further includes the step of extracting information on purchasing customers during a preset period,
The step of extracting information about the purchasing customer is,
The manager terminal collects the purchasing customer's gender, age, frequently purchased products, and customer flow information based on customer information previously entered by the customer purchasing the product or information extracted by the store's camera.
How to recommend product display locations in unmanned stores. According to claim 6,
The step of extracting the purchasing customer information is,
(c-1) Through an unmanned kiosk, information on the purchaser's gender and age is collected for each product purchased based on the customer's purchased product information, payment card information, and previously entered customer information, and based on this, the information is frequently collected. Collect information about products you purchase,
(c-2) Through the store's camera, information is collected on the customer's visit frequency, the gender of the main customer, and the time of the customer's kitchen visit,
How to recommend product display locations in unmanned stores. According to claim 1,
In step (d),
The changed display location information is set in consideration of at least one of the expiration date, gender of the main purchasing customer, product margin rate, product sales ranking, product size, and shelf location corresponding to the customer's eye level.
How to recommend product display locations in unmanned stores. According to claim 8,
The shelf position corresponding to the customer's eye level has different values depending on the customer's gender,
If the expiration date for each product is shorter than the preset period, it is recommended to change the display location among the products first.
How to recommend product display locations in unmanned stores. In the product display location recommendation device for an unmanned store performed by a server,
A memory that stores a program related to a product display location recommendation method in an unmanned store; and
Includes a processor for executing the program,
The above method is
(a) receiving product identification information, product price, and expiration date from the store manager terminal;
(b) receiving display location information about where products are displayed from a store manager terminal, and matching and storing the product identification information and inventory information for the products;
(c) receiving the sales performance of each product for a preset period from the store manager terminal; and
(d) based on the sales performance and expiration date information for each product, transmitting the changed display location of the product to the manager terminal to recommend a change in display location;
Including,
In step (a),
The barcode scanner recognizes the product's barcode and extracts product identification information and price information.
The barcode scanner recognizes the expiration date information identification sticker and extracts the expiration date.
A step of the manager terminal transmitting product identification information, price information, and expiration date received from the barcode scanner to a server,
The barcode scanner collectively receives information on the barcode of the product and the expiration date information identification sticker from the time barcode including the product identification information, price information, and expiration date,
The server receives customer information including information on purchased products, payment card information, and gender and age entered by customers visiting the store collected by an unmanned kiosk already installed in the store, and collects the customer information. Based on this, the gender and age information of the purchasing customer is collected for each purchased product, the preferred product information of the customer visiting the store is collected based on the collected gender and age information of the purchasing customer for each purchased product, and the store is Collects customer visit frequency, gender of major customers, and preferred visit time information from pre-installed cameras,
The display position is set at different values based on the customer's eye level and the customer's preferred products, and among the plurality of display positions, the display position corresponding to the customer's eye level is referred to by a preset name,
If the expiration date remains shorter than the preset period, changing the display location of the corresponding product among a plurality of products is given priority,
A device that recommends product display locations in unmanned stores.

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