KR102534925B1 - Agricultural products distribution management method, device and system for erp-based inventory management and order quantity forecasting - Google Patents

Abstract

According to one embodiment, a device receives agricultural product information and agricultural product inventory information from a user terminal, registers the agricultural product information and agricultural product inventory information on an ERP system, and The device can calculate the converted weight, which is the inventory amount of agricultural products, from agricultural product inventory information registered on the ERP system, calculate a converted weight, which is the inventory amount of agricultural products, from the agricultural product inventory information registered on the ERP system, compare the calculated converted weight with the actual inventory amount of agricultural products stored in a warehouse, generate error information when the converted weight and actual inventory amount differ by more than a preset standard, and generate ordering information for agricultural products using the inventory information and error information.

Description

Agricultural products distribution management method, device and system for ERP-based inventory management and order quantity forecasting

The following embodiments relate to technologies for managing distribution of agricultural products for inventory management and order quantity prediction based on an ERP system.

Recently, with the development of Internet technology, it is widely used in a method of managing product inventory using an ERP system in order to sell and distribute products.

However, in the case of agricultural products, since the size and weight of agricultural products vary for each agricultural product, it is impossible to standardize products. It was difficult to manage the inventory of agricultural products.

Therefore, there is a need to develop a technology for managing the distribution of agricultural products for inventory management and order quantity prediction using error information of agricultural product inventory based on the ERP system.

Republic of Korea Patent Registration No. 10-2383110 (2022.04.08 announcement) Republic of Korea Patent Registration No. 10-2398925 (Announced on May 17, 2022) Republic of Korea Patent Registration No. 10-2314064 (Announced on October 15, 2021) Republic of Korea Patent Registration No. 10-2318878 (Announced on October 27, 2021)

Embodiments are intended to provide a method for managing distribution of agricultural products for inventory management and order quantity prediction based on an ERP system.

Embodiments attempt to calculate correction weights for inventory management of agricultural products using agricultural products images and agricultural product information.

Embodiments attempt to generate order information for agricultural products using keywords related to agricultural products and agricultural product information.

According to one embodiment, the method performed by the device includes receiving agricultural product information and agricultural product inventory information from a user's terminal, and registering the agricultural product information and agricultural product inventory information on an ERP system; Calculating the converted weight, which is the stock amount of agricultural products, from the agricultural product inventory information registered on the ERP system, and comparing the calculated converted weight with the actual stock amount of agricultural products stored in the warehouse; generating error information when the converted weight and the actual stock amount differ by more than a preset standard; And generating order information of agricultural products using the inventory information and the error information, wherein the converted weight is determined by checking the packaging unit of the agricultural product included in the agricultural product information, and packed according to the packaging unit. It may be calculated by calculating the converted quantity, which is the number of agricultural products, and applying the packaging unit to the converted quantity.

The generating of the error information may include calculating a discard rate, which is a ratio of the amount of discarded agricultural products to the converted weight for a preset period of time, obtaining an image of agricultural products from a camera installed in the warehouse, photographing the agricultural products stored in the warehouse. extracting an agricultural product object and a foreign object object from the agricultural product image, calculating a foreign matter ratio, which is a ratio occupied by the foreign material object with respect to the agricultural product object in the agricultural product image, a method for packaging the agricultural product included in the agricultural product information Generating a packaging weight corresponding to information about, generating a correction weight based on the discard rate, the foreign matter rate, and the packaging weight, calculating a correction weight by applying the correction weight to the converted weight , Calculating a calculated difference value that is a difference value between the corrected weight and the actual inventory amount, maintaining the corrected weight when the calculated difference value is less than a preset standard, and the calculated difference value being equal to or greater than a preset standard If so, it may include transmitting a stock confirmation request message to the user's terminal.

The step of generating the order information of the agricultural products, when the converted weight of the agricultural products is less than a preset critical weight, calculating the required amount, which is a value obtained by subtracting the converted weight from the critical weight, using keywords related to agricultural products on a site selling agricultural products Extracting, among the extracted keywords, a first ratio occupied by color keywords corresponding to the color of agricultural products, a second ratio occupied by category keywords corresponding to agricultural categories, and a third ratio occupied by nutrient keywords corresponding to nutrients of agricultural products Calculating the interest rate of the agricultural product based on the first ratio, the second ratio, and the third ratio, checking the storage temperature of the agricultural product from the agricultural product information, and determining the temperature based on the storage temperature Generating a weight, checking the consumption period of agricultural products from the agricultural product information, and generating a period weight based on the consumption period, checking the average size of agricultural products from the agricultural product information, and determining the size based on the average size It may include generating a weight, and calculating an order amount of agricultural products by applying the interest rate, the temperature weight, the period weight, and the size weight to the required amount.

The method performed by the apparatus further includes displaying information on the keyword related to agricultural products on the screen of the user's terminal, and displaying information on the keywords related to agricultural products on the screen of the user's terminal. The step of displaying the color corresponding to the color keyword on the screen of the user's terminal, the step of displaying information on the category keyword on the screen of the user's terminal in proportion to the second ratio, and the third and displaying information on the nutrient keyword on the screen of the user's terminal in proportion to the ratio.

The method performed by the device further comprises displaying the agricultural product information on the user's screen, and displaying the agricultural product information on the user's screen includes the agricultural products displayed on the screen of the user's terminal. Determining the array of agricultural product information including information on the item, type, size, weight, and price of the product as a first array and a second array that are different from each other, when the number of characters of the product is odd, the first array It may include displaying agricultural product information using , and displaying agricultural product information using the second array when the number of letters of the agricultural product item is even.

An apparatus according to an embodiment may be combined with hardware and controlled by a computer program stored in a medium to execute any one of the methods described above.

Embodiments may provide a method for managing distribution of agricultural products for inventory management and order quantity prediction based on an ERP system.

In embodiments, correction weights for inventory management of agricultural products may be calculated using agricultural products images and agricultural product information.

In embodiments, order information of agricultural products may be generated using keywords related to agricultural products and agricultural product information.

1 is a diagram for explaining the configuration of a system according to an embodiment.
2 is a flowchart illustrating a process of managing distribution of agricultural products for inventory management and order quantity prediction based on an ERP system according to an embodiment.
3 is a flowchart illustrating a process of calculating a converted weight according to an embodiment.
4 is a flowchart illustrating a process of calculating a corrected weight according to an embodiment.
5 is a flowchart illustrating a process of generating order information for agricultural products according to an embodiment.
6 is a flowchart illustrating a process of displaying information on keywords related to agricultural products on a screen of a user's terminal according to an embodiment.
7 is a flowchart illustrating a process of displaying agricultural product information on a screen of a user's terminal according to an embodiment.
8 is an exemplary diagram of a configuration of a device according to an embodiment.

Hereinafter, embodiments will be described in detail with reference to the accompanying drawings. However, since various changes can be made to the embodiments, the scope of the patent application is not limited or limited by these embodiments. It should be understood that all changes, equivalents or substitutes to the embodiments are included within the scope of rights.

Specific structural or functional descriptions of the embodiments are disclosed for illustrative purposes only, and may be modified and implemented in various forms. Therefore, the embodiments are not limited to the specific disclosed form, and the scope of the present specification includes changes, equivalents, or substitutes included in the technical spirit.

Although terms such as first or second may be used to describe various components, such terms should only be construed for the purpose of distinguishing one component from another. For example, a first element may be termed a second element, and similarly, a second element may be termed a first element.

It should be understood that when an element is referred to as being “connected” to another element, it may be directly connected or connected to the other element, but other elements may exist in the middle.

Terms used in the examples are used only for descriptive purposes and should not be construed as limiting. Singular expressions include plural expressions unless the context clearly dictates otherwise. In this specification, terms such as "include" or "have" are intended to designate that there is a feature, number, step, operation, component, part, or combination thereof described in the specification, but one or more other features It should be understood that the presence or addition of numbers, steps, operations, components, parts, or combinations thereof is not precluded.

Unless defined otherwise, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by a person of ordinary skill in the art to which the embodiment belongs. Terms such as those defined in commonly used dictionaries should be interpreted as having a meaning consistent with the meaning in the context of the related art, and unless explicitly defined in the present application, they should not be interpreted in an ideal or excessively formal meaning. don't

In addition, in the description with reference to the accompanying drawings, the same reference numerals are given to the same components regardless of reference numerals, and overlapping descriptions thereof will be omitted. In describing the embodiment, if it is determined that a detailed description of a related known technology may unnecessarily obscure the gist of the embodiment, the detailed description will be omitted.

The embodiments may be implemented in various types of products such as personal computers, laptop computers, tablet computers, smart phones, televisions, smart home appliances, intelligent vehicles, kiosks, and wearable devices.

1 is a diagram for explaining the configuration of a system according to an embodiment.

A system according to an embodiment may include a user terminal 10 and a device 30 capable of communicating with each other through a communication network.

First, a communication network may be configured regardless of its communication mode, such as wired or wireless, and may be implemented in various forms so that communication between servers and communication between servers and terminals is performed.

The user's terminal 10 may be a terminal used by a user who wants to distribute agricultural products according to the present invention. The user's terminal 10 may be a desktop computer, a laptop computer, a tablet, a smart phone, or the like. For example, as shown in FIG. 1 , the user's terminal 10 may be a smart phone, and may be employed differently depending on the embodiment.

The user's terminal 10 may be configured to perform all or part of an arithmetic function, a storage/reference function, an input/output function, and a control function of a typical computer. The user's terminal 10 may be configured to communicate with the device 30 by wire or wireless.

The user's terminal 10 uses the device 30 to access a web page operated by a service provider or organization, or an application developed and distributed by a service provider or organization using the device 30 can be installed. The user's terminal 10 may be linked with the device 30 through a web page or application.

The user's terminal 10 may access the device 30 through a web page or application provided by the device 30 .

Singular expressions in the claims may be understood to include the plural. For example, a user in a claim may refer to one user or two or more users, and an agricultural product in a claim may refer to one agricultural product or two or more agricultural products.

The device 30 may be a server owned by a person or organization that provides services using the device 30, may be a cloud server, or may be a peer-to-peer (p2p) set of distributed nodes. may be The device 30 may be configured to perform all or part of an arithmetic function, a storage/reference function, an input/output function, and a control function of a typical computer.

The device 30 may be configured to communicate with the user's terminal 10 by wire or wirelessly, control the operation of the user's terminal 10, and control which information is to be displayed on the screen of the user's terminal 10. can do.

Meanwhile, for convenience of description, only the user's terminal 10 is shown in FIG. 1 , but the number of terminals may vary according to embodiments. As long as the processing capacity of the device 30 permits, the number of terminals and the number of printer devices are not particularly limited.

According to one embodiment, a database may be provided in the device 30, but is not limited thereto, and the database may be configured separately from the device 30. Apparatus 30 may include a number of artificial neural networks for performing machine learning algorithms.

2 is a flowchart illustrating a process of managing distribution of agricultural products for inventory management and order quantity prediction based on an ERP system according to an embodiment.

Referring to FIG. 2 , in step S201, the device 30 may receive agricultural product information and agricultural product inventory information from the user's terminal 10 and register the agricultural product information and agricultural product inventory information on the ERP system.

At this time, ERP (Enterprise Resource Planning) integrates and manages management activity processes such as production, logistics, finance, accounting, sales, purchasing, and inventory within a company, and information generated by the company is shared and new It can mean an enterprise resource management system or an enterprise integration system that helps the creation of information and quick decision-making. Device 30 may include an ERP system.

According to one embodiment, the user's terminal 10 may access the ERP system and input information necessary for distribution of agricultural products. At this time, the information necessary for the distribution of agricultural products includes information on the item of agricultural products, cultivation area, cultivation period, harvest time, cultivation cost, type, size, price, weight, packaging unit, packaging method, storage temperature, expiration date, etc. It may include, but is not limited to, agricultural product information, stock quantity by item, stock quantity by item of agricultural products stored in warehouses, and inventory information including information on the warehousing and shipment of agricultural products.

The device 30 may store information required for distribution of agricultural products entered into the ERP system in a database.

In step S202, the device 30 may calculate the converted weight, which is the inventory amount of agricultural products, from the agricultural product inventory information registered on the ERP system. At this time, a detailed description of the process of calculating the converted weight will be described later with reference to FIG. 3 .

In step S203, the device 30 may compare the calculated converted weight with the actual inventory of agricultural products stored in the warehouse.

For example, the device 30 may receive the actual stock amount of agricultural products stored in the warehouse from the user's terminal 10 and store it in a database. In this case, the actual stock amount may refer to the stock amount of agricultural products actually held in the warehouse by the user.

Specifically, the device 30 may generate an information input page for the actual stock amount of agricultural products and transmit it to the user's terminal 10, and when the actual stock amount of agricultural products is input through the information input page, the user's terminal 10 Information on the actual inventory of agricultural products can be obtained from and stored in the database.

According to one embodiment, the device 30 may provide a page for inputting information to the user's terminal 10 . When information on the actual inventory of agricultural products is input through the page provided for inputting information on the actual inventory of agricultural products, information on the actual inventory of agricultural products may be obtained from the user's terminal 10 .

In step S204, the device 30 may generate error information when the difference between the converted weight and the actual inventory amount is greater than or equal to a preset standard. In this case, the preset criterion may be set differently according to embodiments.

The device 30 may compare the converted weight and the actual stock quantity, and generate error information when there is a difference between the converted weight and the actual stock quantity by more than a preset standard. In this case, a detailed description of a process of generating error information will be described later with reference to FIG. 4 .

In step S205, the device 30 may generate order information for agricultural products by using inventory information and error information. At this time, a detailed description of the process of generating order information for agricultural products will be described later with reference to FIG. 5 .

3 is a flowchart illustrating a process of calculating a converted weight according to an embodiment.

Referring to Figure 3, first, in step S301, the device 30 may check the packaging unit of agricultural products included in the agricultural products information. At this time, the packaging unit is a unit for packaging agricultural products, and may mean, for example, a packaging unit capable of measuring agricultural products such as kg, unit, number, weight, and volume.

In step S302, the device 30 may calculate the converted quantity, which is the number of agricultural products packaged according to the packaging unit.

For example, when agricultural products are carrots, the stocked amount of carrots is 100 kg, and the packaging unit is 3 kg, the device 30 may calculate the converted quantity as 33 pieces.

In step S303, the device 30 may calculate the converted weight by applying the packaging unit to the converted quantity.

For example, when the agricultural product is carrots, the packaging unit is 3 kg, and the converted quantity is 33, the device 30 may calculate the converted quantity as 99 kg.

Due to the nature of agricultural products, unlike industrial products, products cannot be standardized and quantified, so it is difficult to manage the inventory of agricultural products. can The device 30 calculates the converted quantity by using the amount of agricultural products stored and the packaging unit, and registers the converted weight calculated by applying the packaging unit to the calculated converted quantity on the ERP system to store the stock of the agricultural product in the packaging unit. can be managed more efficiently.

4 is a flowchart illustrating a process of calculating a corrected weight according to an embodiment.

Referring to FIG. 4 , first, in step S401, the device 30 may calculate a discard rate, which is a ratio of the discarded amount of agricultural products to the converted weight for a preset period of time. In this case, the preset period may be set differently according to embodiments.

For example, when the preset period is 1 month, the device 30 may generate a page capable of inputting the converted weight of agricultural products and the discarded amount of agricultural products for 1 month and transmit the generated page to the user's terminal 10 . When it is confirmed that the converted weight and discarded amount of agricultural products have been input from the user's terminal 10, the device 30 may store the converted weight and discarded quantity in the database, which is the ratio of the discarded agricultural products to the converted weight during a preset period. A waste rate can be calculated.

In step S402, the device 30 may obtain an image of agricultural products and calculate a foreign matter ratio.

To this end, a camera for photographing agricultural products may be provided in a warehouse where agricultural products are stored. The device 30 may obtain an image of agricultural products photographed from a camera installed in a warehouse. The device 30 may communicate with a camera installed in the warehouse through wired or wireless communication.

The device 30 may obtain an image of agricultural products and extract an agricultural product object and a foreign object object from the agricultural product image. In this case, the foreign matter object may mean fine roots, soil, mud, dust, insects, etc., but is not limited thereto.

The apparatus 30 may calculate a foreign matter ratio, which is a ratio occupied by foreign matter objects with respect to agricultural products objects in the agricultural product image.

In step S403, the device 30 may generate a packaging weight corresponding to the information on the packaging method of the agricultural product included in the agricultural product information.

For example, the packaging method may include, but is not limited to, a vinyl packaging method, a bundle packaging method, a net packaging method, a Styrofoam packaging method, a box packaging method, and the like.

For example, sesame leaves, peppers, green peppers, etc. may be applied with a plastic packaging method, vegetables such as green onions, spinach, and chives may be packaged in bundles, and potatoes, sweet potatoes, pumpkins, radishes, etc. may be boxed using a box packaging method. This can be applied, and the net packaging method can be applied to Chinese cabbage, cabbage, onions, etc.

According to one embodiment, the device 30 may generate a higher weight for packaging as the wrapping paper used in the packaging method is heavier, and may generate a lower packaging weight as the wrapping paper used for the packaging method is lighter. For example, the apparatus 30 may generate a high packing weight in the order of a vinyl packing method, a bundle packing method, a net packing method, a Styrofoam packing method, and a box packing method.

In step S404, the device 30 may generate correction weights based on the discard rate, the foreign matter rate, and the packaging weight.

According to one embodiment, the device 30 may generate a correction weight in direct proportion to the discard rate, the foreign matter rate, and the packaging weight, respectively.

In step S405, the device 30 may calculate the corrected weight by applying the corrected weight to the converted weight. For example, when the converted weight is 99 kg and the corrected weight is 0.9, the device 30 may calculate the corrected weight as 89.1 kg.

In step S406, the device 30 may compare the calculated difference value with a preset standard. In this case, the preset criterion may be set differently according to embodiments.

Specifically, the device 30 may calculate a calculated difference value that is a difference value between the corrected weight and the actual inventory amount, and may compare the calculated difference value with a preset standard.

In step S407, the device 30 may maintain the correction weight when the calculated difference value is less than a preset criterion.

In step S408, the device 30 may transmit a stock confirmation request message to the user's terminal 10 when the calculated difference value is greater than or equal to a preset standard.

5 is a flowchart illustrating a process of generating order information for agricultural products according to an embodiment. At this time, the order information of agricultural products may include information on the order amount of agricultural products.

Referring to FIG. 5 , first, in step S501, when the converted weight of agricultural products is less than a preset critical weight, the required amount may be calculated by subtracting the converted weight from the critical weight. In this case, the critical weight may mean a minimum required inventory of agricultural products stored in the warehouse, and the critical weight may be set differently depending on the embodiment.

The apparatus 30 may calculate the required amount by comparing the converted weight of agricultural products with a preset critical weight, and subtracting the converted weight from the critical weight when the converted weight of agricultural products is less than the preset critical weight.

In step S502, the device 30 may extract keywords related to agricultural products from sites selling agricultural products.

The device 30 may extract keywords related to agricultural products related to items, colors, categories, nutrients, etc. of agricultural products from sites selling agricultural products.

At this time, the category of agricultural products may include grains, legumes, bulbs, vegetables, fruits, seeds, special crops, good crops, monopoly crops, flower crops, and mushrooms, but is not limited thereto.

At this time, grains include wheat, rice, corn, barley, millet, millet, millet, etc., legumes include beans, red beans, mung beans, kidney beans, cowpeas, etc., and vegetables include cabbage, cabbage, spinach, lettuce, parsley, watermelon , Melon, cucumber, pumpkin, tomato, strawberry, eggplant, radish, carrot, burdock, taro, red pepper, garlic, green onion, onion, ginger, etc. Fruits include apples, pears, peaches, grapes, etc., seeds Types include persimmon, tangerine, chestnut, walnut, jujube, pine nut, acorn, ginkgo, raspberry, etc. Special crops include cotton, rapeseed, sesame, perilla, peanut, etc. Includes Peony, Astragalus, Cnidium, Rehmannia, Shiho, Schisandra, Sasam, etc. Monopoly crops include tobacco, ginseng, etc. Flower crops include chrysanthemum, rose, etc. Mushrooms include button mushrooms, pine mushrooms, oyster mushrooms, etc. It can, but is not limited thereto.

In step S503, the device 30 may calculate a first ratio for color keywords.

The apparatus 30 may calculate a first ratio occupied by color keywords corresponding to colors of agricultural products among extracted keywords related to agricultural products.

In step S504, the device 30 may calculate a second ratio for category keywords.

The apparatus 30 may calculate a second ratio occupied by category keywords corresponding to categories of agricultural products among extracted keywords related to agricultural products.

In step S505, the device 30 may calculate a third ratio for the nutrient keyword.

The device 30 may calculate a third ratio occupied by nutrient keywords corresponding to nutrients of agricultural products among extracted keywords related to agricultural products. At this time, nutrients may include carbohydrates, proteins, fats, water, vitamins, minerals, and the like.

In step S506, the device 30 may calculate the interest rate of agricultural products based on the first rate, the second rate, and the third rate.

The device 30 may calculate the interest rate of agricultural products in direct proportion to the first rate, the second rate, and the third rate, respectively.

In step S507, the device 30 may generate temperature weights.

Specifically, the device 30 may determine the storage temperature of agricultural products from agricultural product information and generate a temperature weight based on the storage temperature. According to an embodiment, the device 30 may generate a lower temperature weight as the storage temperature is lower, and generate a higher temperature weight as the storage temperature is higher.

That is, the device 30 should apply a storage method that is more difficult than room temperature storage methods such as frozen storage and refrigerated storage methods when the storage temperature is low, so that the lower the storage temperature, the lower the temperature weight is generated, so that agricultural products It is possible to adjust the order amount of

In step S508, the device 30 may generate period weights.

Specifically, the device 30 may check the consumption period of agricultural products from agricultural product information, and generate a period weight based on the consumption period. Here, the expiration date may mean a period without safety problems even if consumed under prescribed storage conditions.

According to an embodiment, the device 30 may generate a lower period weight as the consumption period is shorter, and generate a higher period weight as the consumption period is longer.

That is, the device 30 may adjust the order amount of agricultural products to be smaller as the consumption period of agricultural products is shorter.

In step S509, the device 30 may generate size weights.

Specifically, the device 30 may determine the average size of agricultural products from agricultural product information and generate size weights based on the average size. The device 30 may check the size of each agricultural product and calculate the average size of each agricultural product from the agricultural product information.

The apparatus 30 may generate a smaller size weight as the average size of agricultural products increases, and may generate a larger size weight as the average size of agricultural products decreases.

That is, since the volume occupied in the warehouse for storing the agricultural products increases as the average size of the agricultural products increases, the apparatus 30 creates a lower size weight as the average size of the agricultural products increases, so that the order amount of the agricultural products can be adjusted to be smaller.

In step S510, the device 30 may calculate the order amount of agricultural products by applying the interest rate, temperature weight, period weight, and size weight to the required amount.

The device 30 may calculate the order amount from the required amount of agricultural products according to keywords related to agricultural products extracted from agricultural products sales sites, storage temperature, expiration date, and average size of agricultural products.

6 is a flowchart illustrating a process of displaying information on keywords related to agricultural products on the screen of the user's terminal 10 according to an embodiment.

The device 30 may display information on keywords related to agricultural products on the screen of the user's terminal 10 .

Referring to FIG. 6 , in step S601 , the device 30 may display a color corresponding to a color keyword on the screen of the terminal 10 of the user.

For example, when the color corresponding to the color keyword is yellow, the device 30 may display the screen of the user's terminal 10 in yellow.

In step S602, the device 30 may display information on the category keyword on the screen of the user's terminal 10 in proportion to the second ratio.

In step S603, the device 30 may display information on the nutrient keyword on the screen of the user's terminal 10 in proportion to the third ratio.

7 is a flowchart illustrating a process of displaying agricultural product information on the screen of the user's terminal 10 according to an embodiment.

Referring to FIG. 7 , first, in step S701, the device 30 may determine an arrangement of agricultural product information displayed on the screen of the user's terminal 10 as a first arrangement and a second arrangement that are different from each other. At this time, agricultural product information may include information on items, types, sizes, weights, and prices.

Here, the arrangement of the agricultural product information may include, but is not limited to, the order and arrangement method of information on the item, type, size, weight, and price of the agricultural product information.

For example, the device 30 may determine a first arrangement in the order of item, type, size, weight, and price of agricultural products, and a second arrangement in order of price, weight, item, type, and size of agricultural products. At this time, the first arrangement and the second arrangement are not limited thereto.

In step S702, when the number of letters of an agricultural product item is odd, the device 30 may display agricultural product information using the first arrangement. The device 30 may check whether the number of letters of an item of agricultural products corresponding to the agricultural product information is an odd number or an even number.

For example, when the number of letters in an agricultural product item is odd, the device 30 may display agricultural product information using a first array in the order of agricultural product item, type, size, weight, and price.

In step S703, the device 30 may display agricultural product information using the second arrangement when the number of letters of agricultural products is even.

For example, when the number of letters in an item of agricultural products is even, the device 30 may display agricultural product information using a second array in the order of price, weight, item, type, and size of agricultural products.

Accordingly, the device 30 may display on the screen of the user's terminal 10 different arrangements of agricultural product information including the item, type, size, weight, and price of agricultural products based on the number of characters of the agricultural products.

8 is an exemplary diagram of a configuration of a device 30 according to an embodiment.

Device 30 according to one embodiment includes a processor 31 and a memory 32 . Device 30 according to an embodiment may be the above-described server or terminal. The processor 31 may include at least one device described above with reference to FIGS. 1 to 7 or may perform at least one method described above with reference to FIGS. 1 to 7 . The memory 32 may store information related to the above method or store a program in which the above method is implemented. Memory 32 may be volatile memory or non-volatile memory.

The processor 31 may execute a program and control the device 30 . Program codes executed by the processor 31 may be stored in the memory 32 . The device 30 may be connected to an external device (eg, a personal computer or network) through an input/output device (not shown) and exchange data.

The embodiments described above may be implemented as hardware components, software components, and/or a combination of hardware components and software components. For example, the devices, methods and components described in the embodiments may include, for example, a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable gate (FPGA). array), programmable logic units (PLUs), microprocessors, or any other device capable of executing and responding to instructions. A processing device may run an operating system (OS) and one or more software applications running on the operating system. A processing device may also access, store, manipulate, process, and generate data in response to execution of software. For convenience of understanding, there are cases in which one processing device is used, but those skilled in the art will understand that the processing device includes a plurality of processing elements and/or a plurality of types of processing elements. It can be seen that it can include. For example, a processing device may include a plurality of processors or a processor and a controller. Other processing configurations are also possible, such as parallel processors.

The method according to the embodiment may be implemented in the form of program instructions that can be executed through various computer means and recorded on a computer readable medium. The computer readable medium may include program instructions, data files, data structures, etc. alone or in combination. Program commands recorded on the medium may be specially designed and configured for the embodiment or may be known and usable to those skilled in computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks and magnetic tapes, optical media such as CD-ROMs and DVDs, and magnetic media such as floptical disks. - includes hardware devices specially configured to store and execute program instructions, such as magneto-optical media, and ROM, RAM, flash memory, and the like. Examples of program instructions include high-level language codes that can be executed by a computer using an interpreter, as well as machine language codes such as those produced by a compiler. The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the embodiments, and vice versa.

Software may include a computer program, code, instructions, or a combination of one or more of the foregoing, which configures a processing device to operate as desired or processes independently or collectively. The device can be commanded. Software and/or data may be any tangible machine, component, physical device, virtual equipment, computer storage medium or device, intended to be interpreted by or provide instructions or data to a processing device. , or may be permanently or temporarily embodied in a transmitted signal wave. The software may be distributed on networked computer systems and stored or executed in a distributed manner. Software and data may be stored on one or more computer readable media.

As described above, although the embodiments have been described with limited drawings, those skilled in the art can apply various technical modifications and variations based on the above. For example, the described techniques may be performed in an order different from the method described, and/or the components of the described system, structure, device, circuit, etc. may be combined or combined in a different form than the method described, or other components may be used. Or even if it is replaced or substituted by equivalents, appropriate results can be achieved.

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

Claims (3)

In the method performed by the device,
Receiving agricultural product information and agricultural product inventory information from a user's terminal, and registering the agricultural product information and agricultural product inventory information on an ERP system;
Calculating the converted weight, which is the stock amount of agricultural products, from the agricultural product inventory information registered on the ERP system, and comparing the calculated converted weight with the actual stock amount of agricultural products stored in the warehouse;
generating error information when the converted weight and the actual stock amount differ by more than a preset standard; and
Using the inventory information and the error information, generating order information for agricultural products,
The converted weight is,
Check the packaging unit of agricultural products included in the agricultural product information,
Calculate the converted quantity, which is the number of agricultural products packaged according to the packaging unit,
Calculated by applying the packaging unit to the converted quantity,
Generating the error information,
Calculating a discard rate, which is a ratio of the discarded amount of agricultural products to the converted weight for a preset period of time;
Obtaining an image of agricultural products obtained by photographing agricultural products stored in the warehouse from a camera installed in the warehouse;
Extracting an agricultural product object and a foreign object object from the agricultural product image;
Calculating a foreign matter ratio, which is a ratio occupied by the foreign matter object with respect to the agricultural product object in the agricultural product image;
Generating a packaging weight corresponding to information on a packaging method of agricultural products included in the agricultural product information;
Generating a correction weight based on the discard rate, the foreign matter ratio, and the packaging weight;
Calculating a correction weight by applying the correction weight to the converted weight;
Calculating a calculated difference value that is a difference value between the corrected weight and the actual inventory amount;
maintaining the correction weight when the calculated difference value is less than a preset criterion; and
When the calculated difference value is greater than or equal to a preset criterion, transmitting a stock confirmation request message to the user's terminal.
Agricultural distribution management method for ERP-based inventory management and order quantity forecasting. delete According to claim 1,
Generating the order information of the agricultural products,
Calculating a required amount, which is a value obtained by subtracting the converted weight from the critical weight, when the converted weight of agricultural products is less than a preset critical weight;
Extracting keywords related to agricultural products from sites that sell agricultural products;
Calculating a first ratio occupied by color keywords corresponding to the color of agricultural products, a second ratio occupied by category keywords corresponding to agricultural categories, and a third ratio occupied by nutrient keywords corresponding to nutrients of agricultural products among the extracted keywords. ,
Calculating an interest rate of agricultural products based on the first rate, the second rate, and the third rate;
Checking the storage temperature of the agricultural products from the agricultural product information, and generating a temperature weight based on the storage temperature;
Checking the consumption period of agricultural products from the agricultural product information, and generating a period weight based on the consumption period;
Checking the average size of agricultural products from the agricultural product information, and generating a size weight based on the average size, and
Calculating an order amount of agricultural products by applying the interest rate, the temperature weight, the period weight, and the size weight to the required amount
Agricultural distribution management method for ERP-based inventory management and order quantity forecasting.

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