Unmanned store commodity calculation method and device

Abstract

A commodity calculation method and device for an unmanned store are disclosed. The commodity calculation device for an unmanned store according to an embodiment of the present invention includes a transport unit for transporting commodities, a commodity recognition unit for recognizing that a commodity is placed on the transport unit, a scanning unit for scanning a barcode and an image of the commodity transported by the transport unit, a weight sensor for measuring the weight of the scanned commodity, a processor for identifying what the commodity is, a commodity classification unit for classifying the commodity into a first zone or a second zone based on the commodity identification result, and a calculation unit for calculating a total price by summing up a first price obtained by summing up the prices of the commodities classified into the first zone and a second price obtained by summing up the prices of the commodities classified into the second zone and confirmed by a manager.

Description

[Technical Field]

[0001] The present invention relates to a commodity calculation method and device for an unmanned store. [Background technology]

[0002] The following description merely provides background information related to one embodiment of the present invention and may not constitute prior art.

[0003] Attempts are being made to reduce manpower and improve accuracy by automating the entire logistics process, including product production, shipping, transportation, unloading, packaging, storage, and calculation. Automating logistics has the effect of reducing costs by reducing the number of personnel and preventing safety accidents, and it also shortens the time required for logistics and enables systematic management.

[0004] In particular, when calculating the cost of merchandise on the sales floor, store employees must scan the barcodes of each item using a barcode scanning device to calculate the cost of the merchandise. This increases the time required for calculating the cost of the merchandise, which leads to chronic, unnecessary customer waiting times, which not only increases the store's congestion but also increases the store's operating and management costs due to the need to hire employees to calculate the cost of the merchandise.

[0005] This has created a demand for technology that can quickly and accurately calculate the products that customers are trying to calculate without any human intervention. Summary of the Invention [Problem to be solved by the invention]

[0006] An object of the present invention is to provide a method for calculating product prices in an unmanned store.

[0007] Another object of the present invention is to improve the recognition rate of products through artificial intelligence learning data, thereby enabling quick and accurate product calculation.

[0008] Another object of the present invention is to reduce store operation and management costs by reducing personnel. [Means for solving the problem]

[0009] a weight sensor installed at a lower side of the transporter and measuring the weight of the scanned product for verification; a processor that identifies the product using artificial intelligence learning data based on the barcode and image of the product scanned by the scanning unit and the weight of the product measured by the weight sensor; a product classification unit installed at a second location where the transporter completes its transport and classifies the product into a first zone or a second zone based on the product identification result; and a calculation unit that calculates a total price by adding together a first price obtained by adding together the prices of the products classified in the first zone and a second price obtained by adding together the prices of the products classified in the second zone and confirmed by an administrator.

[0010] The scanning unit may include a barcode scanner that recognizes the barcode of the product, and an image scanner that scans an image of the product to obtain image information.

[0011] If the barcode is recognized, the processor identifies the product as a scanned product corresponding to the identification information contained in the barcode; if the barcode cannot be recognized, the processor obtains the product name and character string from the image information, and identifies the product as a scanned product based on the image information, product name, and character string using artificial intelligence learning data; compares the weight of the product measured using the weight sensor with the weight information contained in the product information corresponding to the scanned product; if the comparison verifies that the product is the scanned product, the processor transmits a first signal to the product classification unit instructing the scanned product to be sent to the user; if the product is not identified as the scanned product or the comparison verifies that the product is not the scanned product, the processor transmits a second signal to the product classification unit instructing the product to be sent to an administrator.

[0012] The transport unit does not operate if it is not recognized through the product recognition unit that a product has been placed, operates to transport the product when it recognizes that a product has been placed, and can stop operating if it is not recognized through the product recognition unit that another product has been placed until a preset time has elapsed after it recognizes that a product has been placed through the product recognition unit.

[0013] In addition, a method for calculating product prices in an unmanned store according to one embodiment of the present invention may include the steps of receiving user information from a user terminal, recognizing products placed on a transport unit through a product recognition unit, and if the product is recognized, scanning the product being transported by the transport unit through a scanning unit, verifying the product based on the scanning result of the product and classifying the product using a product classification unit so that the product is sent to a user or administrator based on the verification result, calculating a total price by adding up the prices of the classified products using a calculation unit, and providing the total price to the user terminal.

[0014] The step of scanning the product includes the steps of: if the barcode of the product is recognized, scanning the barcode to obtain scanned product information corresponding to the barcode; if the barcode of the product cannot be recognized, scanning the entire image of the product to obtain image information; if the barcode of the product cannot be recognized or image information of the product cannot be obtained, designating the product as an unconfirmed product; if the barcode of the product cannot be recognized after the product scanning step, obtaining a product name of the product from the image information; and using artificial intelligence learning data to obtain scanned product information corresponding to the product whose image information has been obtained based on the image information and the product name, wherein the artificial intelligence learning data may include data learned from the size, product name, and product weight of products sold in unmanned stores.

[0015] The step of classifying the scanned product may include the steps of measuring the weight of the product using a weight sensor, comparing the weight information of the scanned product included in the scanned product information with the measured weight of the product, and if the comparison verifies that the product is the scanned product, classifying the product into a first zone to be sent to the user, and if the comparison verifies that the product is another product or the product is an unconfirmed product, classifying the product into a second zone to be sent to an administrator, and transmitting the number of products classified into the second zone, device information, and the user information to an administrator terminal.

[0016] The step of calculating the total amount may involve recognizing that the user has purchased both the products classified in the first zone or the second zone, and calculating a third price by adding together a first price obtained by adding up the prices of the products classified in the first zone and a second price obtained by adding up the prices of the products classified in the second zone.

[0017] The step of receiving the user information may include a step of receiving membership information of the user generated using the user information, and after the step of providing the total amount, if the user completes payment for the product, may include a step of accumulating purchase points corresponding to a third price into the member points included in the membership information.

[0018] The step of accumulating the purchase points may grant additional purchase points at a preset first rate corresponding to the rate of the number of products whose barcodes are recognized through a scanning unit according to the number of products purchased by the user, and the step of providing the total amount may provide the user terminal with a fourth price obtained by applying a preset second rate discount rate corresponding to the range in which the member points are included to the third price. [Effects of the Invention]

[0019] According to the present invention, a calculation method for products in an unmanned store can be provided.

[0020] Furthermore, according to the present invention, the product recognition rate can be improved through artificial intelligence learning data, and product calculation can be performed quickly and accurately.

[0021] Furthermore, according to the present invention, the operational and management costs of the store can be reduced by reducing the number of staff. [Brief explanation of the drawings]

[0022] [Figure 1] and [Figure 2] 1 and 2 are diagrams showing a commodity calculation system for an unmanned store according to an embodiment of the present invention. [Figure 3] FIG. 3 is a block diagram showing the configuration of a scanning unit of a commodity calculation device for an unmanned store according to one embodiment of the present invention. [Figure 4] FIG. 4 is a diagram showing the movement path of a user and the position of a manager in a commodity calculation device for an unmanned store according to one embodiment of the present invention. [Figure 5]FIG. 5 is a block diagram showing entities for calculating merchandise items in an unmanned store according to one embodiment of the present invention. [Figure 6] FIG. 6 is an operational flowchart showing a commodity calculation method for an unmanned store according to one embodiment of the present invention. [Figure 7] FIG. 7 is an operational flowchart showing a commodity calculation method for an unmanned store according to one embodiment of the present invention. [Figure 8] FIG. 8 is an operational flowchart showing a commodity calculation method for an unmanned store according to one embodiment of the present invention. [Figure 9] FIG. 9 is an operational flowchart showing a commodity calculation method for an unmanned store according to one embodiment of the present invention. [Figure 10] FIG. 10 is a diagram illustrating a computer system according to one embodiment of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0023] The present invention will now be described in detail with reference to the accompanying drawings. Detailed descriptions of known functions and configurations that may be redundant or unnecessarily obscure the gist of the present invention will be omitted. The embodiments of the present invention are provided to more completely explain the present invention to those skilled in the art. Therefore, the shapes and sizes of elements in the drawings may be exaggerated for clarity.

[0024] Throughout this specification, when a part is said to "comprise" a certain element, this does not mean that it excludes other elements, but that it may further include other elements, unless specifically stated to the contrary.

[0025] DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Preferred embodiments of the present invention will now be described in detail with reference to the accompanying drawings.

[0026] 1 and 2 are diagrams showing the configuration of a commodity calculation device for an unmanned store according to one embodiment of the present invention.

[0027] FIG. 1 is a diagram showing the configuration of a commodity calculation device for an unmanned store according to one embodiment of the present invention.

[0028] FIG. 2 is a block diagram showing the configuration of a commodity calculation device for an unmanned store according to one embodiment of the present invention.

[0029] Referring to Figures 1 and 2, an unmanned store commodity device according to one embodiment of the present invention may include a transport unit 110, a commodity recognition unit 120, a scanning unit 130, a weight sensor 140, a commodity classification unit 150, a processor 210, and a calculation unit 220.

[0030] The transport unit may transport the product that the user wishes to purchase in order to scan the product.

[0031] The product recognition unit is installed at a first location where the transport unit starts transporting the product, and can recognize that the product has been placed on the transport unit so that the operation of the transport unit can be started.

[0032] The scanning unit is installed at a predetermined distance from the transporting unit and can scan barcodes and images of products transported by the transporting unit.

[0033] The weight sensor is installed on one side of the lower portion of the conveying unit and can measure the weight of the scanned product for verification.

[0034] The processor can identify the product using artificial intelligence learning data based on the barcode and image of the product scanned through the scanning unit and the weight of the product measured by the weight sensor.

[0035] The product classification unit is installed at a second location where the transportation of the product by the transportation unit is completed, and can classify the product into a first zone or a second zone based on the identification result of the product.

[0036] The calculation unit can calculate a total amount by adding together a first price, which is the total of the prices of the products classified in the first zone, and a second price, which is the total of the prices of the products classified in the second zone and confirmed by the administrator.

[0037] Here, the transport unit does not operate if it is not recognized through the product recognition unit that a product has been placed, operates to transport the product when it recognizes that a product has been placed, and can stop operating if it is not recognized through the product recognition unit that another product has been placed until a preset time has elapsed after it recognizes that a product has been placed through the product recognition unit.

[0038] FIG. 3 is a block diagram showing the configuration of a scanning unit of a commodity calculation device for an unmanned store according to one embodiment of the present invention.

[0039] Referring to FIG. 3, the scanning unit of the commodity calculation device for unmanned stores according to an embodiment of the present invention may include a barcode scanner 131 and an image scanner 132.

[0040] The barcode scanner can recognize the barcode of the product. The image scanner can scan the image of the product to obtain image information.

[0041] If the barcode is recognized, the processor identifies the product as a scanned product corresponding to the identification information contained in the barcode; if the barcode cannot be recognized, the processor obtains the product name and character string from the image information and uses artificial intelligence learning data to identify the product as a scanned product based on the image information, product name, and character string.

[0042] In addition, the weight of the product measured using the weight sensor can be compared with the weight information included in the product information corresponding to the scanned product, and if the comparison verifies that the product is the scanned product, a first signal can be transmitted to the product classification unit instructing the scanned product to be sent to the user, and if the product is not identified as the scanned product or the comparison verifies that the product is not the scanned product, a second signal can be transmitted to the product classification unit instructing the product to be sent to an administrator.

[0043] In an optional embodiment, the unmanned store product computing device may include a second product recognition unit that is installed at a third location where the products enter the first zone and recognizes products that have been classified by the product classification unit to be sent to the first zone.

[0044] Specifically, the second product recognition unit can recognize products that are moved to the first zone after being classified by the product classification unit, and can count the number of products that have moved to the first zone.

[0045] At this time, the product calculation device of the unmanned store compares the number of times the first signal is transmitted to be sent to the first zone through the processor with the number of products counted through the second product recognition unit, and if the comparison results in a difference, it can create a list of products classified to be sent to the first zone and send the list to the administrator terminal.

[0046] Here, the manager can check the list through the manager terminal and determine whether the products included in the list have been erroneously classified.

[0047] This means that if the scanned product and verified product are mistakenly classified into the second zone, the issue can be resolved through the aforementioned verification procedure.

[0048] FIG. 4 is a diagram showing the movement path of a user and the position of a manager in a commodity calculation device in an unmanned store according to one embodiment of the present invention.

[0049] Referring to FIG. 4, two commodity calculation devices for an unmanned store according to an embodiment of the present invention may be installed side by side, with a manager zone 410 located between them.

[0050] Here, in each device, among the zones in which products are classified, the zone located next to the manager's zone can be the second zone, and the zone on the opposite side can be the first zone.

[0051] In this case, the user can place all the items they wish to purchase on the transport section, and then move along the movement path 420 through the first zone to the second zone, where they can pick up the items they have purchased.

[0052] This allows one manager to check unconfirmed products using two devices, which has the effect of reducing store operation and management costs by reducing staff.

[0053] FIG. 5 is a block diagram showing entities for calculating merchandise items in an unmanned store according to one embodiment of the present invention.

[0054] Referring to FIG. 5, an entity for calculating a commodity in an unmanned store according to an embodiment of the present invention includes an unmanned store commodity calculation device 100, a user terminal 510, and a manager terminal 520.

[0055] The product calculation device 100 of the unmanned store may refer to a device that receives user information from the user terminal 510, recognizes the product scanned by the scanning unit as being purchased by the user using the user terminal, and calculates the total amount.

[0056] The commodity calculation device 100 in the unmanned store may be a device that provides the calculated total amount to the user terminal 510.

[0057] The commodity calculation device 100 in the unmanned store may be a device that transmits information on unconfirmed commodities among scanned commodities to the administrator terminal 520.

[0058] The user terminal 510 may be a device that provides user information to the commodity calculation device 100 in an unmanned store.

[0059] The user terminal 510 may be a device that receives the total amount from the commodity calculation device 100 in the unmanned store.

[0060] The manager terminal 520 may be a device that receives information on unconfirmed products among the products scanned from the product calculation device 100 in the unmanned store.

[0061] The unmanned store commodity calculation device 100 and the user terminal 510, and the unmanned store commodity calculation device 100 and the administrator terminal 520 can be interconnected via a communication network.

[0062] The communication network refers to a connection path for transmitting and receiving data between the aforementioned entities. For example, the communication network can include wired networks such as LANs (Local Area Networks), WANs (Wide Area Networks), MANs (Metropolitan Area Networks), and ISDNs (Integrated Service Digital Networks), as well as wireless networks such as wireless LANs, CDMA, Bluetooth, and satellite communications, but the scope of communication networks applicable to the present invention is not limited to these.

[0063] FIG. 6 is an operational flowchart showing a commodity calculation method for an unmanned store according to another embodiment of the present invention.

[0064] Referring to FIG. 6, the method for calculating product prices for an unmanned store according to an embodiment of the present invention may first receive user information from a user terminal (S610).

[0065] Next, the product placed on the transport unit can be recognized by the product recognition unit (S620).

[0066] Next, if the product is recognized, the scanning unit can scan the product being transported by the transport unit (S630).

[0067] In this case, if the barcode of the product is recognized, the barcode is scanned to obtain scanned product information corresponding to the barcode, and if the barcode of the product cannot be recognized, the entire image of the product is scanned to obtain image information.

[0068] In addition, if the barcode of a product cannot be recognized or image information of the product cannot be obtained, the product can be designated as an unconfirmed product.

[0069] Next, the product can be verified based on the scanning result of the product, and the product can be classified through a product classification unit according to the verification result so that the product can be sent to a user or an administrator (S640).

[0070] Next, the calculation unit can calculate the total price by adding up the prices of the classified products (S650).

[0071] The total amount can then be provided to the user terminal (S660).

[0072] FIG. 7 is an operational flowchart showing a commodity calculation method for an unmanned store according to one embodiment of the present invention.

[0073] Referring to FIG. 7, in a method for calculating the product price for an unmanned store according to an embodiment of the present invention, if the barcode of the product cannot be recognized after the product scanning step, the product name of the product can be obtained from the image information (S710).

[0074] Next, using the artificial intelligence learning data, scanned product information corresponding to the product whose image information has been acquired can be acquired based on the image information and the product name (S720).

[0075] Here, the artificial intelligence learning data may include data learned about the size, product name, and weight of products sold in unmanned stores.

[0076] FIG. 8 is an operational flowchart showing a commodity calculation method for an unmanned store according to one embodiment of the present invention.

[0077] Referring to FIG. 8, the method for calculating the price of a commodity in an unmanned store according to an embodiment of the present invention may first measure the weight of the commodity using a weight sensor (S810).

[0078] Next, the weight information of the scanned product included in the scanned product information can be compared with the measured weight of the product (S820).

[0079] Then, if the comparison results in the product being verified as the scanned product, the product can be classified into a first zone to be sent to the user, and if the comparison results in the product being verified as another product or the product is an unconfirmed product, the product can be classified into a second zone to be sent to the administrator (S830).

[0080] Next, the number of products classified into the second zone, the device information, and the user information can be transmitted to the administrator terminal (S840).

[0081] In this case, step S650 recognizes that the user has purchased both the products classified in the first zone and the second zone, and calculates a third price by adding together the first price, which is the total price of the products classified in the first zone, and the second price, which is the total price of the products classified in the second zone.

[0082] FIG. 9 is an operational flowchart showing a commodity calculation method for an unmanned store according to one embodiment of the present invention.

[0083] Referring to FIG. 9, in the unmanned store commodity calculation method according to one embodiment of the present invention, first, in step S610, the membership information of the user generated using the user information may be received.

[0084] After the total amount is provided, if the user has already paid for the product, purchase points corresponding to the third price can be accumulated in the member points included in the member information (S910).

[0085] At this time, step S910 may award additional purchase points at a preset first rate corresponding to the rate of the number of products whose barcodes are recognized through the scanning unit according to the number of products purchased by the user.

[0086] In addition, step S660 can provide the user terminal with a fourth price to which a preset second percentage discount rate has been applied, corresponding to the section in which the member's points are included in the third price.

[0087] In an optional embodiment, before step S660, a first product list for products classified in the first zone and a second product list for products classified in the second zone may be created, and the created first product list and second product list may be provided to the user terminal.

[0088] Specifically, the product calculation device of the unmanned store may first generate a first product list for the products classified into the first zone.

[0089] At this time, a preset first mark or second mark can be displayed next to each product name included in the first product list.

[0090] Here, the preset first mark may mean that the barcode is scanned using a barcode scanner to obtain product information, and the scanned product information is verified to match the obtained information.

[0091] In addition, the preset second mark may mean that image information of the product is obtained through an image scanner, scanned product information is obtained based on the image information, and the scanned product information is verified to match the obtained scanned product information.

[0092] Next, when the manager has confirmed the products classified in the second zone, the product calculation device of the unmanned store can generate a second product list for the products classified in the second zone.

[0093] At this time, a preset third indicator can be displayed next to each product name included in the second product list.

[0094] Here, the preset third mark may indicate that the product is an unconfirmed product, or that the product is verified as a product different from the scanned product information and has been confirmed by an administrator.

[0095] In an optional embodiment, when step S660 provides a total price to the user terminal, the total price may include the first product list and the second product list and be provided to the user terminal.

[0096] The first product list and the second product list may then include prices for each of the products in the list.

[0097] As a result, users can check the products whose barcodes have been scanned through the barcode scanner. Also, the more products whose barcodes have been scanned, the more points a member accumulates, and the higher the member's points, the higher the discount rate. Therefore, when users place products on the transfer section, they are encouraged to place them in a way that makes it easy for the barcodes to be scanned. As a result, as the number of products whose barcodes have been scanned increases, the number of products that the administrator needs to check decreases, which has the effect of shortening the time required for product calculation.

[0098] FIG. 10 is a diagram illustrating a computer system according to one embodiment of the present invention.

[0099] The product calculation device for an unmanned store according to an embodiment of the present invention can be implemented as a computer system 1000 such as a computer-readable recording medium.

[0100] 10, a computer system 1000 may include one or more processors 1010, memory 1030, user interface input devices 1040, user interface output devices 1050, and storage 1060, all of which communicate with each other via a bus 1020. The computer system 1000 may also include a network interface 1070 connected to a network 1080. The processor 1010 may be a central processing unit or a semiconductor device that executes processing instructions stored in the memory 1030 and the storage 1060. The memory 1030 and the storage 1060 may take various forms of volatile or non-volatile storage media. For example, the memory may include a read only memory (ROM) 1031 and a random access memory (RAM) 1032.

[0101] The specific implementation described in the present invention is merely an embodiment and does not limit the scope of the present invention in any way. For the sake of brevity, descriptions of conventional electronic configurations, control systems, software, and other functional aspects of the system may be omitted. Furthermore, line connections or connecting members between components shown in the drawings are illustrative of functional connections and / or physical or circuit connections, and may be represented as alternative or additional various functional connections, physical connections, or circuit connections in an actual device. Furthermore, unless specifically described as "essential" or "important," a component is not essential for application of the present invention.

[0102] Therefore, the concept of the present invention should not be limited to the above-described embodiments, and it can be said that not only the scope of the claims described below, but also all modifications equivalent to or equivalent to the scope of these claims fall within the scope of the concept of the present invention. [Industrial Applicability]

[0103] Furthermore, the product calculation device for an unmanned store according to the embodiment of the present invention scans the products being transported, measures their weight to identify the products, classifies the products based on the identification results, and calculates the total amount, thereby enabling the product to be calculated quickly and accurately, and therefore has industrial applicability.

Claims

1. a transport unit for transporting the product to be purchased by the user so that the product can be scanned; a product recognition unit that is installed at a first location where the transport unit starts transporting the product and recognizes that the product has been placed on the transport unit so that the operation of the transport unit can be started; a scanning unit installed a predetermined distance away from the first location of the transporting unit and configured to scan barcodes and images of the products transported by the transporting unit; a weight sensor installed on one side of the lower portion of the conveying unit to measure the weight of the scanned product for verification; a processor that identifies the product using artificial intelligence learning data based on the barcode and image of the product scanned by the scanning unit and the weight of the product measured by the weight sensor; a product sorting unit that is installed at a second location where the transport of the products by the transport unit is completed, and that sorts the products into a first zone or a second zone based on the product identification or verification result of the processor; a calculation unit that calculates a total amount by adding together a first price obtained by adding up the prices of the products classified in the first zone and a second price obtained by adding up the prices of the products classified in the second zone and confirmed by the administrator; Including, the scanning unit includes a barcode scanner that recognizes the barcode of the product, and an image scanner that scans an image of the product to acquire image information; When the barcode of the product is recognized by the barcode scanner, the processor identifies the product as a scanned product corresponding to the identification information included in the barcode; when the barcode cannot be recognized, the processor acquires a product name and character string from the image information, and uses the artificial intelligence learning data to identify whether the product is the scanned product based on the image information, product name, and character string; further, the processor compares the weight of the product measured using the weight sensor with the weight information included in the product information corresponding to the scanned product, and verifies whether the product is the scanned product based on the comparison result; when the processor identifies or verifies that the product is the scanned product, the processor transmits a first signal to the product sorting unit to instruct the scanned product to be sent to the first zone; when the processor does not identify the product as the scanned product or verifies that the product is not the scanned product, the processor transmits a second signal to the product sorting unit to instruct the product to be sent to the second zone; the calculation unit generates a first product list of the products classified into the first zone by the product classification unit based on the product identification result of the processor, and calculates the first price by adding up the prices of the products in the first product list; an administrator terminal is connected to the calculation unit, the calculation unit receives information on the products classified into the second zone and confirmed by the administrator from the administrator terminal, generates a second product list, and calculates the second price by adding up the prices of the products in the second product list; A store product calculation device to which a user terminal is connected, which receives user information from the user terminal, and which awards more purchase points to the user the greater the ratio of the number of products whose barcodes are recognized by the barcode scanner to the number of products purchased by the user.

2. The transfer unit is When the product recognition unit does not recognize that a product has been placed on the platform, the unit does not operate, and when the product recognition unit recognizes that a product has been placed on the platform, the unit operates to transfer the product.

2. The store commodity calculation device according to claim 1, wherein, after recognizing that a commodity has been placed through the commodity recognition unit, if the commodity recognition unit does not recognize that another commodity has been placed through the commodity recognition unit until a preset time has elapsed, the store commodity calculation device stops operation.

3. A commodity calculation method using the commodity calculation device of a store according to claim 1, the processor receiving user information from the user terminal; recognizing the product placed on the transfer unit through the product recognition unit; If the product is recognized, scanning the barcode and image of the product being transported by the transport unit through the scanning unit; measuring the weight of the scanned item with the weight sensor; The processor identifies the product based on the product's barcode, image, and weight result of the product; a step of classifying the products by a product classification unit based on the identification result of the processor so that the products are sent to the first zone or the second zone; a step of calculating a total amount by adding together a first price obtained by adding up the prices of the products classified in the first zone and a second price obtained by adding up the prices of the products classified in the second zone and confirmed by the administrator, by the calculation unit; the processor providing the total amount to the user terminal; The processor includes a step of awarding more purchase points to the user as the proportion of products whose barcodes are recognized by the barcode scanner among the products purchased by the user increases. , how to calculate store items.

4. The step of receiving user information includes: receiving membership information of the user; The step of awarding purchase points includes: The store merchandise calculation method according to claim 3 , further comprising a step of the processor accumulating purchase points corresponding to the total amount to the points of the user included in the member information.

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