KR102527661B1 - Method, apparatus and computer program for adjusting partial value of object and providing partial value trading service of object based on artificial intelligence - Google Patents

Abstract

Provided in various embodiments of the present invention are a method for providing service for adjusting a split-up value of products and trading a split-up value based on artificial intelligence, an apparatus and a computer program thereof. In particular, the method for providing service for adjusting a split-up value of products and trading a split-up value based on artificial intelligence is a method executed by a computing device, which comprises: a step of acquiring a purchase request with respect to at least one partial value unit among a plurality of partial value units with respect to products from a purchaser, wherein the plurality of partial value units are generated by dividing the values of the products in plural; and a step of calculating an adjustment value with respect to the at least one partial value unit based on the acquired purchase request, and acquiring a purchase contract corresponding to the acquired purchase request based on the calculated adjustment value. Therefore, sudden fluctuations in the values of products may be prevented.

Description

Method for providing divisional value adjustment and divisional value trading service of artificial intelligence-based goods, apparatus and computer program

Various embodiments of the present invention relate to a method, apparatus, and computer program for adjusting the divided value of goods based on artificial intelligence and providing a divided value transaction service.

Since human history, transactions of goods and goods have been carried out in various means and methods, and the means and methods are gradually evolving. For example, in the exchange transaction method of directly transacting goods with goods, a value trading method using “money” that objectified the value of goods appeared, and the value of goods in market transactions has been expressed through transactions, that is, money. Furthermore, due to the rapid growth of IT technology, goods and goods have also become possible to trade on online platforms rather than offline markets, and online-based goods trade through e-commerce has become possible.

However, there is a difference between the seller's demanded value and the buyer's demanded value in the value of goods and goods determined in the market. Due to the development of society, the increase in complexity, and the emergence of the online world, purchase and demand have become indirect relationships (e.g., transactions in the virtual world) beyond 1:1 or direct relationships.

Like stocks, which are intangible value transactions, a market in which value is formed by the adjustment of supply and demand, which is pushed and pulled between the strength of buyers and the strength of sellers in the market, has also been formed, and the metaverse and virtual world will develop more rapidly in the future. In bar, all goods and goods in the real world may be in a situation where the value is determined in the virtual world.

Therefore, trust in the algorithm for determining the reasonable value between the seller and the buyer and the contents and results of the transaction have become very important in this respect. There is a problem in that manipulation (eg, value manipulation, short selling, etc.) cannot be prevented.

Korean Patent Publication No. 10-2021-0059165 (2021.05.25.)

The problem to be solved by the present invention is to make it possible to trade a plurality of partial value units generated by dividing the value of an item into a plurality of pieces for the purpose of solving the above-mentioned conventional problems, but purchases obtained from a plurality of buyers By adjusting and confirming the value of an item based on a request, it is possible to present an appropriate purchase/sale price to buyers and sellers, and to prevent a sudden change in the value of an item by blocking intentional value manipulation such as short selling. It is to provide a method, device, and computer program for adjusting the split value of goods based on artificial intelligence and providing a split value transaction service.

The problems to be solved by the present invention are not limited to the problems mentioned above, and other problems not mentioned will be clearly understood by those skilled in the art from the description below.

In order to solve the above problems, an artificial intelligence-based method for adjusting the divided value of an article and providing a divided value transaction service according to an embodiment of the present invention is a method performed by a computing device, wherein a plurality of partial values for an article from a buyer are provided. obtaining a purchase request for at least one partial value unit of a unit, wherein the plurality of partial value units are generated by dividing the value of the product into a plurality of units; and the at least one unit of value is obtained based on the acquired purchase request. Calculating an adjusted value for a partial value unit of , and concluding a purchase contract corresponding to the obtained purchase request based on the calculated adjusted value.

In various embodiments, the acquiring of the purchase request may include obtaining a plurality of purchase requests from a plurality of buyers for a predetermined period from the time of obtaining the sales request for the product in response to obtaining a sales request for the product from the seller. obtaining a purchase request, wherein the entering into the purchase contract comprises simultaneously entering into a plurality of purchase contracts corresponding to the plurality of purchase requests obtained during the predetermined period in response to a predetermined condition being satisfied. steps may be included.

In various embodiments, the step of entering into the purchase contract may include a plurality of purchase requests obtained from each of a plurality of buyers, wherein the plurality of purchase requests include the purchase number of fractional value units each of the plurality of buyers intends to purchase and the purchase request. Calculating an adjusted value for the product based on - including an amount, dividing the calculated adjusted value of the product by the sum of the number of purchases input from each of the plurality of buyers, thereby averaging the partial value unit Calculating a purchase request amount and calculating an adjusted value of a partial value unit that each of the plurality of buyers wants to purchase through a multiplication operation of the calculated average purchase request amount and the number of purchases input from each of the plurality of buyers steps may be included.

In various embodiments, the step of calculating the adjusted value of the product may include, when the calculated adjusted value of the product is less than a preset lower limit, changing the calculated adjusted value of the product to the preset lower limit, and and changing the calculated adjusted value of the product to the preset upper limit price when the adjusted value exceeds the preset upper limit price.

In various embodiments, the concluding of the purchase contract may include calculating an adjusted purchase amount by correcting a purchase request amount input from each of the plurality of buyers based on the calculated adjusted value of the partial value unit; Proposing the calculated purchase adjustment amount to a plurality of buyers, and entering into a plurality of purchase contracts corresponding to the obtained plurality of purchase requests as the proposed purchase adjustment amounts are accepted by the plurality of buyers can do.

In various embodiments, the step of entering into a plurality of purchase contracts may include obtaining from buyers other than the at least one buyer when the proposed purchase adjustment amount is not accepted by at least one buyer among the plurality of buyers. and recalculating a purchase adjustment amount based on the determined purchase request, and re-proposing the recalculated purchase adjustment amount to the remaining purchasers.

In various embodiments, the calculating of the purchase adjustment amount may include setting a weight for each of the plurality of buyers based on at least one of an investment propensity of each of the plurality of buyers, a buying and selling price for the product, and and correcting the calculated purchase adjustment amount based on the set weight.

In various embodiments, the step of concluding the purchase contract may include, when a purchase contract for the at least one partial value unit is concluded in response to the acquired purchase request, information related to the concluded purchase contract through a blockchain network. It may include the step of writing on.

In various embodiments, the step of concluding the purchase contract may include, when a purchase contract for the at least one partial value unit is concluded in response to the acquired purchase request, among a plurality of virtual assets issued in response to the product. and allocating at least one virtual asset corresponding to the value of the at least one partial value unit to the purchaser.

An apparatus for adjusting the divided value of an artificial intelligence-based product and providing a divided value transaction service according to another embodiment of the present invention for solving the above problems is a processor, a network interface, a memory, and a load in the memory, and the processor a computer program executed by, wherein the computer program comprises at least one of a plurality of partial value units for goods from a buyer, wherein the plurality of partial value units are generated by dividing the value of the goods into a plurality of units; instructions for obtaining a purchase request for a fractional value unit and calculating an adjusted value for the at least one fractional value unit based on the obtained purchase request, and based on the calculated adjusted value, the obtained purchase request. It may include instructions for concluding a purchase contract corresponding to the request.

A computer program according to another embodiment of the present invention for solving the above problems is combined with a computing device, and a plurality of partial value units for an article from a buyer - the plurality of partial value units converts the value of the article into a plurality of units. obtaining a purchase request for at least one fractional value unit of, and calculating an adjusted value for the at least one fractional value unit based on the obtained purchase request, and the calculated adjustment Stored in a recording medium readable by a computing device to execute a method for adjusting the divided value of an artificial intelligence-based product and providing a divided value transaction service, including the step of entering into a purchase contract corresponding to the acquired purchase request based on the value. can

Other specific details of the invention are included in the detailed description and drawings.

According to various embodiments of the present invention, it is possible to trade a plurality of partial value units generated by dividing the value of an item into a plurality of pieces, but adjusting the value of the item based on purchase requests obtained from multiple buyers and By confirming, there is an advantage in that an appropriate purchase/sale price can be presented to buyers and sellers, and intentional value manipulation such as short selling can be prevented from rapidly changing the value of the product.

The effects of the present invention are not limited to the effects mentioned above, and other effects not mentioned will be clearly understood by those skilled in the art from the description below.

1 is a diagram illustrating a system for adjusting a divided value of an article based on artificial intelligence and providing a divided value transaction service according to an embodiment of the present invention.
2 is a hardware configuration diagram of an apparatus for adjusting the divided value of an article based on artificial intelligence and providing a divided value transaction service according to another embodiment of the present invention.
3 is a flowchart of a method for adjusting the divided value of an article based on artificial intelligence and providing a divided value transaction service according to another embodiment of the present invention.
4 is a flowchart illustrating a method of calculating an adjusted value for fractional value units of an item, in various embodiments.
5 is a flowchart illustrating a method of concluding a purchase contract corresponding to a purchase request, in various embodiments.

Advantages and features of the present invention, and methods of achieving them, will become clear with reference to the detailed description of the following embodiments taken in conjunction with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but may be implemented in various different forms, only these embodiments are intended to complete the disclosure of the present invention, and are common in the art to which the present invention belongs. It is provided to fully inform the person skilled in the art of the scope of the invention, and the invention is only defined by the scope of the claims.

Terminology used herein is for describing the embodiments and is not intended to limit the present invention. In this specification, singular forms also include plural forms unless specifically stated otherwise in a phrase. As used herein, "comprises" and/or "comprising" does not exclude the presence or addition of one or more other elements other than the recited elements. Like reference numerals throughout the specification refer to like elements, and “and/or” includes each and every combination of one or more of the recited elements. Although "first", "second", etc. are used to describe various components, these components are not limited by these terms, of course. These terms are only used to distinguish one component from another. Accordingly, it goes without saying that the first element mentioned below may also be the second element within the technical spirit of the present invention.

Unless otherwise defined, all terms (including technical and scientific terms) used in this specification may be used with meanings commonly understood by those skilled in the art to which the present invention belongs. In addition, terms defined in commonly used dictionaries are not interpreted ideally or excessively unless explicitly specifically defined.

The term "unit" or "module" used in the specification means a hardware component such as software, FPGA or ASIC, and "unit" or "module" performs certain roles. However, "unit" or "module" is not meant to be limited to software or hardware. A “unit” or “module” may be configured to reside in an addressable storage medium and may be configured to reproduce one or more processors. Thus, as an example, a “unit” or “module” may refer to components such as software components, object-oriented software components, class components, and task components, processes, functions, properties, procedures, subroutines, segments of program code, drivers, firmware, microcode, circuitry, data, databases, data structures, tables, arrays and variables. Functions provided within components and "units" or "modules" may be combined into smaller numbers of components and "units" or "modules" or may be combined into additional components and "units" or "modules". can be further separated.

The spatially relative terms "below", "beneath", "lower", "above", "upper", etc. It can be used to easily describe a component's correlation with other components. Spatially relative terms should be understood as including different orientations of elements in use or operation in addition to the orientations shown in the drawings. For example, if you flip a component that is shown in a drawing, a component described as "below" or "beneath" another component will be placed "above" the other component. can Thus, the exemplary term “below” may include directions of both below and above. Components may also be oriented in other orientations, and thus spatially relative terms may be interpreted according to orientation.

In this specification, a computer means any kind of hardware device including at least one processor, and may be understood as encompassing a software configuration operating in a corresponding hardware device according to an embodiment. For example, a computer may be understood as including a smartphone, a tablet PC, a desktop computer, a laptop computer, and user clients and applications running on each device, but is not limited thereto.

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

Although each step described in this specification is described as being performed by a computer, the subject of each step is not limited thereto, and at least a part of each step may be performed in different devices according to embodiments.

1 is a diagram illustrating a system for adjusting a divided value of an article based on artificial intelligence and providing a divided value transaction service according to an embodiment of the present invention.

Referring to FIG. 1, an artificial intelligence-based product split value adjustment and split value transaction service providing system according to an embodiment of the present invention includes an artificial intelligence-based split value adjustment and split value transaction service providing device 100 for a product, a user It may include a terminal 200 , an external server 300 and a network 400 .

Here, the artificial intelligence-based division value adjustment and division value transaction service providing system of goods shown in FIG. 1 is according to an embodiment, and its components are not limited to the embodiment shown in FIG. 1, and as needed may be added, changed or deleted.

In one embodiment, the artificial intelligence-based division value adjustment of goods and the division value transaction service providing device 100 (hereinafter referred to as “computing device 100”) provides division value adjustment and division value transaction services of artificial intelligence-based goods. can do.

In various embodiments, the computing device 100 may generate a plurality of partial value units as the seller divides the value of an item to be sold into a plurality of pieces, and the seller wants to purchase the plurality of partial value units. As one or more buyers and sellers are matched, it is possible to provide a divided value transaction service for goods in which a partial value unit transaction between the seller and the buyer is carried out.

In various embodiments, the computing device 100 may calculate an adjusted value for an item and a partial value unit of the item based on an artificial intelligence model (eg, an artificial intelligence-based repair model) and a value adjustment algorithm, based on which offer a sale price to a seller or a purchase price to a buyer, enabling sellers and buyers to buy and sell fractional value units at fair prices.

Here, an artificial intelligence model (e.g., a neural network) is composed of one or more network functions, and one or more network functions may be composed of a set of interconnected computational units generally referred to as 'nodes'. These 'nodes' may also be referred to as 'neurons'. One or more network functions include at least one or more nodes. Nodes (or neurons) that make up one or more network functions can be interconnected by one or more 'links'.

In an artificial intelligence model, one or more nodes connected through a link may form a relative relationship of an input node and an output node. The concept of an input node and an output node is relative, and any node in an output node relationship with one node may have an input node relationship with another node, and vice versa. As described above, the input node to output node relationship can be created around the link. More than one output node can be connected to one input node through a link, and vice versa.

In a relationship between an input node and an output node connected through one link, the value of the output node may be determined based on data input to the input node. Here, a node interconnecting an input node and an output node may have a weight. The weight may be variable, and may be variable by a user or an algorithm in order to perform a function desired by the artificial intelligence model. For example, when one or more input nodes are interconnected by respective links to one output node, the output node is set to a link corresponding to values input to input nodes connected to the output node and respective input nodes. An output node value may be determined based on the weight.

As described above, in the AI model, one or more nodes are interconnected through one or more links to form an input node and output node relationship in the AI model. Characteristics of the artificial intelligence model may be determined according to the number of nodes and links in the artificial intelligence model, the relationship between the nodes and links, and the value of weight assigned to each link. For example, when there are two artificial intelligence models having the same number of nodes and links and different weight values between the links, the two artificial intelligence models may be recognized as different from each other.

Some of the nodes constituting the artificial intelligence model may constitute one layer based on distances from the first input node. For example, a set of nodes having a distance of n from the first input node may constitute n layers. The distance from the first input node may be defined by the minimum number of links that must be passed through to reach the corresponding node from the first input node. However, the definition of such a layer is arbitrary for explanation, and the order of a layer in an artificial intelligence model may be defined in a different way from the above. For example, a layer of nodes may be defined by a distance from a final output node.

An initial input node may refer to one or more nodes to which data is directly input without going through a link in relation to other nodes among nodes in the artificial intelligence model. Alternatively, in an artificial intelligence model network, in a relationship between nodes based on a link, it may mean nodes that do not have other input nodes connected by a link. Similarly, the final output node may refer to one or more nodes that do not have an output node in relation to other nodes among nodes in the artificial intelligence model. Also, the hidden node may refer to nodes constituting an artificial intelligence model other than the first input node and the last output node. An artificial intelligence model according to an embodiment of the present invention may have more nodes of an input layer than nodes of a hidden layer close to an output layer, and the number of nodes decreases as the number of nodes increases from the input layer to the hidden layer. can

AI models can include one or more hidden layers. A hidden node of a hidden layer may use outputs of previous layers and outputs of neighboring hidden nodes as inputs. The number of hidden nodes for each hidden layer may be the same or different. The number of nodes of the input layer may be determined based on the number of data fields of the input data and may be the same as or different from the number of hidden nodes. Input data input to the input layer may be operated by a hidden node of the hidden layer and may be output by a fully connected layer (FCL) that is an output layer.

In various embodiments, the computing device 100 may pre-define a lower bound value (LBV) and an upper bound value (UBV) for an item and a partial value unit of the item, and the predefined lower limit value And by calculating the adjusted value for the item and the partial value unit of the item in consideration of the upper limit price, it is possible to prevent the value of the item from rapidly changing.

In various embodiments, the divided value transaction service of goods provided by the computing device 100 may be implemented in the form of a web or application, and the user executes the web or application to access the computing device 100. You can receive a split value transaction service for goods from

In one embodiment, the user terminal 200 may be connected to the computing device 100 through the network 400, and may use a divided value transaction service of goods by executing a web or application provided from the computing device 100. can

Here, the user terminal 200 is a wireless communication device that ensures portability and mobility, and includes navigation, PCS (Personal Communication System), GSM (Global System for Mobile communications), PDC (Personal Digital Cellular), PHS (Personal Handyphone System) , PDA (Personal Digital Assistant), IMT (International Mobile Telecommunication)-2000, CDMA (Code Division Multiple Access)-2000, W-CDMA (W-Code Division Multiple Access), Wibro (Wireless Broadband Internet) terminal, smartphone ( It may include all kinds of handheld-based wireless communication devices such as Smartphone, Smartpad, Tablet PC, etc., but is not limited thereto.

Also, here, the network 400 may refer to a connection structure capable of exchanging information between nodes such as a plurality of terminals and servers. For example, the network 400 includes a local area network (LAN), a wide area network (WAN), a world wide web (WWW), a wired and wireless data communication network, a telephone network, a wired and wireless television communication network, and the like. can do.

In addition, here, the wireless data communication networks are 3G, 4G, 5G, 3GPP (3rd Generation Partnership Project), 5GPP (5th Generation Partnership Project), LTE (Long Term Evolution), WIMAX (World Interoperability for Microwave Access), Wi-Fi (Wi-Fi) Fi), Internet, LAN (Local Area Network), Wireless LAN (Wireless Local Area Network), WAN (Wide Area Network), PAN (Personal Area Network), RF (Radio Frequency), Bluetooth network, A near-field communication (NFC) network, a satellite broadcasting network, an analog broadcasting network, a digital multimedia broadcasting (DMB) network, etc. may be included, but is not limited thereto.

In one embodiment, the external server 300 may be connected to the computing device 100 through the network 400 and store various types of information and data necessary for the computing device 100 to provide a divided value transaction service of goods. and management, or receive, store, and manage various types of information and data generated as the computing device 100 provides a divided value transaction service for goods. For example, the external server 300 may be a storage server provided separately outside the computing device 100, but is not limited thereto. Hereinafter, with reference to FIG. 2 , the hardware configuration of the computing device 100 that performs a method for adjusting the divided value of an article based on artificial intelligence and providing a divided value transaction service will be described.

2 is a hardware configuration diagram of an apparatus for adjusting the divided value of an article based on artificial intelligence and providing a divided value transaction service according to another embodiment of the present invention.

Referring to FIG. 2 , in various embodiments, a computing device 100 includes one or more processors 110, a memory 120 for loading a computer program 151 executed by the processor 110, and a bus ( 130), a communication interface 140, and a storage 150 for storing the computer program 151. Here, in FIG. 2, only components related to the embodiment of the present invention are shown. Therefore, those skilled in the art to which the present invention pertains can know that other general-purpose components may be further included in addition to the components shown in FIG. 2 .

The processor 110 controls the overall operation of each component of the computing device 100 . The processor 110 includes a Central Processing Unit (CPU), a Micro Processor Unit (MPU), a Micro Controller Unit (MCU), a Graphic Processing Unit (GPU), or any type of processor well known in the art of the present invention. It can be.

Also, the processor 110 may perform an operation for at least one application or program for executing a method according to embodiments of the present invention, and the computing device 100 may include one or more processors.

In various embodiments, the processor 110 may temporarily and/or permanently store signals (or data) processed in the processor 110 (RAM: Random Access Memory, not shown) and ROM (ROM: Read -Only Memory, not shown) may be further included. In addition, the processor 110 may be implemented in the form of a system on chip (SoC) including at least one of a graphics processing unit, RAM, and ROM.

Memory 120 stores various data, commands and/or information. Memory 120 may load computer program 151 from storage 150 to execute methods/operations according to various embodiments of the present invention. When the computer program 151 is loaded into the memory 120, the processor 110 may perform the method/operation by executing one or more instructions constituting the computer program 151. The memory 120 may be implemented as a volatile memory such as RAM, but the technical scope of the present disclosure is not limited thereto.

The bus 130 provides a communication function between components of the computing device 100 . The bus 130 may be implemented in various types of buses such as an address bus, a data bus, and a control bus.

The communication interface 140 supports wired and wireless Internet communication of the computing device 100 . Also, the communication interface 140 may support various communication methods other than internet communication. To this end, the communication interface 140 may include a communication module well known in the art. In some embodiments, communication interface 140 may be omitted.

The storage 150 may non-temporarily store the computer program 151 . When the computing device 100 performs the process of adjusting the divided value of an article based on artificial intelligence and providing the divided value transaction service, the storage 150 provides the process of adjusting the value of the division of an article based on artificial intelligence and providing the divided value transaction service. Various types of information necessary for this can be stored.

The storage 150 may be a non-volatile memory such as read only memory (ROM), erasable programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), flash memory, or the like, a hard disk, a removable disk, or a device well known in the art. It may be configured to include any known type of computer-readable recording medium.

Computer program 151 may include one or more instructions that when loaded into memory 120 cause processor 110 to perform methods/operations in accordance with various embodiments of the invention. That is, the processor 110 may perform the method/operation according to various embodiments of the present disclosure by executing the one or more instructions.

In one embodiment, the computer program 151 is configured to determine at least one of a plurality of fractional units of value for an item from a purchaser, wherein the plurality of fractional units of value are generated by dividing the value of the item into a plurality of units. obtaining a purchase request, calculating an adjusted value for at least one partial value unit based on the obtained purchase request, and concluding a purchase contract corresponding to the acquired purchase request based on the calculated adjusted value; It may include one or more instructions for performing an artificial intelligence-based method for adjusting the divided value of goods and providing a divided value transaction service.

Steps of a method or algorithm described in connection with an embodiment of the present invention may be implemented directly in hardware, implemented in a software module executed by hardware, or implemented by a combination thereof. A software module may include random access memory (RAM), read only memory (ROM), erasable programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), flash memory, hard disk, removable disk, CD-ROM, or It may reside in any form of computer readable recording medium well known in the art to which the present invention pertains.

Components of the present invention may be implemented as a program (or application) to be executed in combination with a computer, which is hardware, and stored in a medium. Components of the present invention may be implemented as software programming or software elements, and similarly, embodiments may include various algorithms implemented as data structures, processes, routines, or combinations of other programming constructs, such as C, C++ , Java (Java), can be implemented in a programming or scripting language such as assembler (assembler). Functional aspects may be implemented in an algorithm running on one or more processors. Hereinafter, with reference to FIGS. 3 to 5 , an artificial intelligence-based method for adjusting the divided value of an article and providing a divided value transaction service performed by the computing device 100 will be described.

3 is a flowchart of a method for adjusting the divided value of an article based on artificial intelligence and providing a divided value transaction service according to another embodiment of the present invention.

Referring to FIG. 3 , in step S110 , the computing device 100 may obtain a purchase request for at least one partial value unit among a plurality of partial value units from a buyer.

Here, the partial value unit may mean one generated by dividing the value of an article into a plurality of pieces, but is not limited thereto.

In addition, here, the number for generating partial value units, that is, the number of divisions for dividing the value of an item may be input from the seller, but is not limited thereto, and may be input from the buyer in some cases or based on the initial value of the item. can be determined

Also, here, the purchase request acquired from the purchaser may include the size of the partial value unit the purchaser wants to purchase, the number of purchases, and the purchase request amount, but is not limited thereto.

In various embodiments, the computing device 100 obtains a plurality of purchase requests from a plurality of buyers, and based on the purchase request amounts included in the plurality of purchase requests, a predetermined lower limit (partial value unit) corresponding to the partial value unit. You can filter purchase requests that contain a purchase request amount less than the lower limit of

In addition, the computing device 100 obtains a plurality of purchase requests from a plurality of buyers, but based on the purchase request amounts included in the plurality of purchase requests, a preset upper limit price (upper limit price of the partial value unit) corresponding to the partial value unit. The purchase request amount included in the purchase request may be adjusted to the upper limit of the fractional value unit by correcting the purchase request including the purchase request amount exceeding .

In various embodiments, the computing device 100 obtains a plurality of purchase requests from a plurality of buyers, but the number of partial value units to be purchased from the plurality of buyers is greater than the number of partial value units to be sold for the product. , Sort a plurality of buyers according to the order in which purchase requests were made, sequentially select n buyers within a range smaller than the number of partial value units to be sold, and only purchase requests acquired from the selected n buyers can be used. .

In another embodiment, the computing device 100 obtains a plurality of purchase requests from a plurality of buyers, but the number of partial value units to be purchased from the plurality of buyers is greater than the number of partial value units to be sold for the product. In this case, a plurality of buyers may be sorted according to the amount of money offered by each buyer, and n buyers may be selected in order of increasing amount.

In another embodiment, the computing device 100 obtains a plurality of purchase requests from a plurality of buyers, but the number of partial value units to be purchased from the plurality of buyers is greater than the number of partial value units to be sold for the product. In this case, the purchase request of a buyer who has presented a price outside a certain range may be unilaterally canceled.

In step S120 , the computing device 100 may calculate an adjusted value for the partial value unit of the product based on the purchase request acquired through step S110 .

In various embodiments, the computing device 100 may calculate an adjusted value for a partial value unit of an item based on an artificial intelligence model (eg, an artificial intelligence-based repair model) and a value adjustment algorithm. Hereinafter, referring to FIG. 4 , a detailed method of calculating an adjusted value of a partial value unit will be described.

4 is a flowchart illustrating a method of calculating an adjusted value for fractional value units of an item, in various embodiments. Here, a method of calculating an adjusted value for a partial value unit of an article described below may be performed based on an artificial intelligence model (eg, an artificial intelligence-based repair model) and a value adjustment algorithm, but is not limited thereto.

Referring to FIG. 4 , in step S210 , the computing device 100 may calculate an adjusted value for an article.

More specifically, the computing device 100 may calculate the adjusted value for the article using Equation 1 below.

<Equation 1>

는 j번째 반복된 조정 가치 산출 단계에서의 물품에 대한 조정 가치,

는 j번째 반복된 조정 가치 산출 단계에서의 구매자 수,

는 j번째 반복된 조정 가치 산출 단계에서의 i번 구매자가 구매하고자 하는 부분 가치 단위의 구매 요청 금액 및

는 j번째 반복된 조정 가치 산출 단계에서의 i번 구매자가 구매하고자 하는 부분 가치 단위의 구매 개수를 의미할 수 있다.here,

is the adjusted value for the article at the jth repeated adjusted value calculation step,

is the number of buyers at the jth iterated adjusted value calculation step,

Is the purchase request amount of the fractional value unit that the i-th buyer wants to purchase in the j-th repeated adjusted value calculation step, and

may denote the number of purchases of partial value units that the i-th purchaser intends to purchase in the j-th iterative adjusted value calculation step.

That is, the computing device 100 may calculate, as the adjusted value of the product, the total sum of purchases of partial value units by a plurality of buyers according to a plurality of purchase requests, based on Equation 1.

In various embodiments, the computing device 100 may change the adjusted value of the product to the preset lower limit when the adjusted value of the product calculated according to the above method is less than the preset lower limit (lower limit on the value of the product).

In addition, the computing device 100 may change the adjusted value of the product to the preset upper limit price when the adjusted value of the product calculated according to the above method exceeds the preset upper limit price (upper limit value of the product value).

Through this, it is possible to prevent the adjusted value of an item from rapidly changing as specific buyers input an inappropriate purchase request amount to intentionally increase or intentionally decrease the adjusted value of the item.

In step S220, the computing device 100 may calculate an average purchase request price for the partial value unit using the adjusted value of the product calculated through step S210.

More specifically, the computing device 100 may calculate an average purchase request amount for partial value units using Equation 2 below.

<Equation 2>

는 j번째 반복된 조정 가치 산출 단계에서의 부분 가치 단위에 대한 평균 구매 요청 금액을 의미할 수 있다.here,

May denote an average purchase request price for partial value units in the j-th iterated adjusted value calculation step.

That is, the computing device 100 divides the adjusted value of the product by the sum of the number of purchases input from each of the plurality of buyers based on Equation 2 above, and then rounds the divided value, that is, the arithmetic average value, You can calculate the average requisition amount for fractional value units in the form of positive integer values.

In step S230, the computing device 100 may calculate an adjusted value for the partial value unit that each of the plurality of buyers intends to purchase, based on the average purchase request price of the partial value unit calculated through step S220. For example, as shown in Equation 3 below, the computing device 100 calculates an adjusted value of a partial value unit that each buyer wants to purchase through a multiplication operation of the average purchase request amount and the number of purchases input from each of the plurality of buyers. can be calculated.

<Equation 3>

Again, referring to FIG. 3 , in step S130, the computing device 100 calculates the adjusted value of the partial value unit calculated through step S120, that is, based on the adjusted value of the partial value unit that each of the plurality of buyers wants to purchase. A purchase agreement can be concluded. Hereinafter, with reference to FIG. 5, a detailed method of concluding a purchase contract will be described.

5 is a flowchart illustrating a method of concluding a purchase contract corresponding to a purchase request, in various embodiments.

Referring to FIG. 5 , in step S310 , the computing device 100 may calculate an adjusted value of a partial value unit that each of the plurality of buyers intends to purchase based on the plurality of purchase requests obtained from the plurality of buyers.

Here, the method of calculating the adjusted value of the partial value unit that each of the plurality of buyers intends to purchase may be implemented in the same or similar form to the method performed in step S230 of FIG. 4 , but is not limited thereto.

In step S320, the computing device 100 adjusts the purchase request by correcting the purchase request amount input from each of the plurality of buyers based on the adjusted value of the partial value unit that each of the plurality of buyers intends to purchase, calculated through step S310. An amount may be calculated, and the calculated purchase adjustment amount may be proposed to a plurality of buyers.

In various embodiments, the computing device 100 calculates a purchase adjustment amount for each of the plurality of buyers based on the adjusted value of the partial value unit that each of the plurality of buyers wants to purchase, but the investment propensity of each of the plurality of buyers, the product A weight for each of a plurality of buyers may be set based on at least one of a buying force and a selling force for , and a purchase adjustment amount may be corrected based on the set weight.

For example, when the purchasing force for the product is strong, the computing device 100 sets a weight in the range of 1 to 1.5 in proportion to the buying force and upwardly corrects the purchase adjustment amount based on the set weight, thereby increasing the partial value to a higher amount. Units can be induced to be traded. On the other hand, when the selling force for the product is strong, the computing device 100 sets a weight within the range of 0.5 to 1 in proportion to the selling force, and adjusts the purchase adjustment amount downward based on the set weight, thereby reducing the partial value unit to a lower amount. can be induced to be traded.

Here, the purchase tax and the sales tax on the goods may be calculated based on the ratio of the number of partial value units to be sold and the number of partial value units to be purchased, with respect to a plurality of partial value units for the goods, but are limited to this. It doesn't work.

In step S330, the computing device 100 may determine whether a preset condition is satisfied.

Here, determining whether the preset conditions are satisfied is determining whether all buyers accept the proposed purchase adjustment amount through step S320, and the computing device 100 determines the adjustment amount proposed to each of a plurality of buyers. Regarding, if all buyers accept, it can be determined that the preset conditions are satisfied, but it is not limited thereto, and in some cases, if more than half of the buyers accept, it can be determined that the preset conditions are satisfied.

In addition, here, determining whether or not the predetermined condition is satisfied may include not only whether all buyers accept the purchase adjustment amount, but also whether the seller who sells the partial value unit accepts the purchase adjustment amount. .

In step S340, the computing device 100 responds to a plurality of purchase requests obtained from a plurality of purchasers when it is determined that a predetermined condition is satisfied through step S330, that is, when it is determined that the purchase adjustment amount is accepted from all buyers. A plurality of corresponding purchase contracts may be concluded.

Here, concluding a purchase contract may mean receiving payment from the buyer and, accordingly, allocating the ownership of the fractional value unit in an amount corresponding to the cost, but is not limited thereto, and in some cases, the fractional value unit This may mean matching a seller and a buyer so that a transaction process between a seller who wants to sell and a corresponding buyer can proceed.

In step S350, the computing device 100 determines that the predetermined condition is not satisfied through step S330, that is, if at least one buyer among the plurality of buyers determines that the purchase adjustment amount is excessive or too small, the partial value unit is determined. When the purchase intention is withdrawn, at least one buyer who has withdrawn the purchase intention may be excluded, and steps S310 to S330 may be performed based on the purchase requests of the remaining buyers except the at least one purchaser.

That is, the computing device 100 may repeatedly perform steps S310 to S330 until all buyers who wish to purchase the partial value unit accept the purchase adjustment amount, and purchase only when all buyers accept the purchase adjustment amount. contract can be concluded.

In various embodiments, the computing device 100 may simultaneously process purchase contracts corresponding to purchase requests obtained from a plurality of purchasers at predetermined intervals.

More specifically, the computing device 100 obtains purchase requests from a plurality of first buyers for a predetermined period from a first point in time at which the sales request for the product is obtained in response to obtaining a sales request for the product from the seller. and when it is determined that a predetermined condition is satisfied, purchase contracts for purchase requests acquired from a plurality of first buyers may be simultaneously processed at a second time point when a predetermined period has elapsed from the first time point.

Thereafter, the computing device 100 may obtain purchase requests from a plurality of second buyers for a predetermined period after the second point in time, and when it is determined that a predetermined condition is satisfied, a predetermined period from the second point in time. At the elapsed third time point, purchase contracts for purchase requests acquired from a plurality of second buyers may be simultaneously processed.

That is, the computing device 100 may execute purchase requests obtained from a plurality of buyers at once based on a predetermined period, but is not limited thereto.

In various embodiments, the computing device 100 may recalculate the value of the product based on the purchase contract after a purchase contract is concluded with a plurality of buyers according to the above method.

For example, the computing device 100 may calculate an increase or decrease in the value of an item based on a plurality of purchase contracts for a plurality of buyers, and correct the value of the item based on the calculated increase or decrease in value. , can recalculate the value of the goods.

As another example, the computing device 100 calculates the value of an item as property by performing a multiplication operation of the total number of partial value units and the purchase price of the partial value unit based on a plurality of purchase contracts for a plurality of buyers. can be fixed

In various embodiments, the computing device 100 may reset the upper limit and the lower limit of the value of the product based on the value of the product recalculated according to the purchase contract. For example, the computing device 100 may inform the seller of the amount of change in the value of the item as the value of the item changes, and may receive new upper and lower price limits from the seller in response, but is not limited thereto. In some cases, the upper and lower limits of the value of an item may be automatically increased or decreased according to the rate of change in the value of the item.

In various embodiments, the computing device 100 may provide transaction, exchange, and management services for fractional value units based on a blockchain system.

In various embodiments, the computing device 100 may record information related to the purchase contract on a blockchain network when purchase contracts corresponding to a plurality of purchase contracts obtained from a plurality of buyers are concluded according to the above-described method. there is.

), 조정 가치 산출 단계의 최종 반복 횟수(

), 평균 구매 요청 금액(

) 및 물품에 대한 조정 가치(

)에 관한 정보 등)를 트랜잭션으로 하여 블록체인 데이터베이스에 분산 저장할 수 있다.For example, the computing device 100 (or external server 300) may be provided with a plurality of blockchain databases, and information related to the purchase contract (eg, seller information, buyer information, Information about the goods, information about the fractional value unit, number of fractional value units purchased, information relating to the purchase amount, total number of buyers (

), the number of final iterations of the adjustment value calculation step (

), average purchase request amount (

) and the adjusted value for goods (

) can be stored in a blockchain database as a transaction.

That is, the transaction information is stored as blockchain block information and stored in distributed nodes of the blockchain database, thereby preventing the agreement result according to the purchase contract from being changed.

In this case, the computing device 100 may encrypt the purchaser's personal information (eg, real name and personal authentication information) included in the transaction and store a hash value generated by the encryption. Encrypted personal information can be stored in a separate storage location, and thus encrypted personal information can operate off-chain.

As described above, the information recorded on the blockchain network may be implemented in a form that can be checked through separate software provided by the computing device 100. In this case, the software may be implemented so that all information except personal information of other participants can be inquired at all times, but is not limited thereto.

In various embodiments, the computing device 100 may allocate virtual assets corresponding to the partial value units purchased by each of the plurality of buyers to the purchaser when each of the plurality of buyers purchases the partial value unit as a purchase contract is concluded. can

More specifically, first, the computing device 100 may issue a virtual asset corresponding to the product based on the value of the product. For example, when the value of an item is 100, the computing device 100 may issue virtual assets corresponding to the value of the item, that is, 100 virtual assets.

Here, virtual assets are blockchain security virtual assets (Security Virtual Assets, SVA), which are subject to securities-related laws (e.g., Securities and Exchange Act, Asset Securitization Act, Futures Trading Act, Capital Market and Financial Investment Business Act, Indirect It may be a blockchain virtual asset (e.g., Virtual Asset or Crypto Token) that complies with the general regulations of securities (capital securities) stipulated in the Investment Asset Management Act, etc.), but is not limited thereto.

Thereafter, the computing device 100 may allocate virtual assets to each of a plurality of purchasers based on a plurality of purchase contracts. For example, the computing device 100 specifies three virtual assets (3SVA) among virtual assets generated for the value of an item when a specific buyer pays for a partial value unit having a value of 3 through a purchase contract. can be assigned to buyers.

In various embodiments, the computing device 100 repeatedly performs the method for providing a divided value transaction service for goods according to an embodiment of the present invention (eg, steps S110 to S130 in FIG. 3 ) at predetermined intervals to determine a predetermined value. In the case where the adjusted value of an item is repeatedly calculated every cycle of , virtual assets may be issued in response to each of the repeatedly calculated adjusted values of the item, and the issued virtual assets may be allocated to buyers.

)을 발행하고, 발행된 제1 가상자산을 첫번째 물품의 분할 가치 거래 서비스 제공방법에 참여한 구매자들에게 할당할 수 있다.More specifically, first, when the computing device 100 calculates a first adjusted value for an article as the computing device 100 performs the method for providing a divided value transaction service (steps S110 to S130 in FIG. 3 ) of the first article, the first adjustment In proportion to the value, the first virtual asset (

) may be issued, and the issued first virtual asset may be allocated to buyers participating in the method of providing a divided value trading service for the first item.

)을 발행하고, 발행된 제2 가상자산을 두번째 물품의 분할 가치 거래 서비스 제공방법에 참여한 구매자들에게 할당할 수 있다.Thereafter, when the second adjusted value for the product is calculated as the method of providing the divided value transaction service for the second product is performed, the computing device 100 provides a second virtual asset in proportion to the second adjusted value (

) may be issued, and the issued second virtual asset may be allocated to buyers participating in the method of providing a divided value trading service for the second item.

As described above, the computing device 100 may issue virtual assets each time the method of providing a divided value transaction service for goods is repeated.

내지

)을 발행할 수 있으며, 물품에 대한 가상자산 총량(

)은 하기의 수학식 4에 기초하여 산출될 수 있다.That is, if N adjusted values for an item are calculated by repeating the method of providing a divided value transaction service for an item N times, virtual assets corresponding to each of the N adjusted values (

pay

) can be issued, and the total amount of virtual assets for the item (

) can be calculated based on Equation 4 below.

<Equation 4>

In various embodiments, the computing device 100 may provide a virtual asset exchange service (or a virtual asset resale service) between two or more different buyers.

)과 개별 가상자산(

내지

)은 특성, 사회, 경제적 환경의 변화에 따라 그 가치가 변화될 수 있는 바, 컴퓨팅 장치(100)는 교환 시점을 기준으로 그 가치를 재산정하여 가상자산에 대한 교환(또는 재판매)을 진행할 수 있다.Here, the total amount of virtual assets for the goods (

) and individual virtual assets (

pay

) can change its value according to changes in the characteristics, social and economic environment, and the computing device 100 can proceed with the exchange (or resale) of the virtual asset by recalculating its value based on the exchange time point. .

For example, the computing device 100 determines the first value of the product at the first time point and the product at the second time point when the buyer who has been allocated virtual assets at the first time point wants to exchange the personal asset at the second time point. A rate of change in the value of the product may be calculated using the second value for the product, and based on the calculated rate of change in value, the virtual asset of the buyer allocated at the first point in time may be corrected.

Here, the computing device 100, when the ownership relationship of a virtual asset changes as a result of exchange of virtual assets between buyers, generates a new transaction with the information generated as the ownership relationship changes, on the blockchain network and off-chain. can be recorded

In various embodiments, the computing device 100 may incinerate both the partial value unit and the virtual asset corresponding to the item when the value of the item is extinguished.

In this way, the incineration information generated by the incineration process can be recorded on the blockchain network, and the virtual assets in which the incineration information is stored can be processed to prevent all services such as exchange, inquiry, and distribution from being provided.

Buyers can own a virtual asset wallet (SVA Wallet, SVAW) to store and manage the virtual assets assigned to them. Here, the virtual asset wallet is supplemented software that stores the private key required for blockchain use, such as virtual asset transactions, and the buyer uses the virtual asset wallet to store and transmit virtual assets in the blockchain. etc., and can exchange virtual assets using the wallet address generated by the hash value of the public key.

Here, the storage of virtual assets is to store the buyer's virtual assets as transaction information in a block, which is a blockchain distributed ledger. Personal information and virtual asset balance books can be read and written, and transaction stealing can be prevented by electronic signature as a transaction subject.

In addition, here, virtual asset transfer is to send one's own virtual asset to one or more other buyers' virtual asset wallets, and the virtual asset balance of the buyer and the other party's virtual asset balance are newly created according to the transaction amount. Transaction (transaction) integrity and completeness and non-repudiation of transactions are verified and guaranteed through the blockchain consensus algorithm, and all histories can be stored in the blockchain.

The virtual asset exchange (SVA Market, SVAM) operated through the computing device 100 is distinguished from existing cryptocurrency exchanges and can be defined as a virtual asset vertical market that supports both issuance and exchange of virtual assets.

In addition, the virtual asset exchange is a virtual asset distribution blockchain platform that can cover the entire distribution process from issuance to incineration of virtual assets, registering, viewing, participating in virtual asset issuing projects, and finally issuing and distributing virtual assets. can run

In addition, virtual asset exchanges can support transparent sharing and inquiry of the latest and current information on virtual asset owners, such as monitoring the progress of individual virtual asset projects and updating the contents of changes when a buyer changes.

In addition, virtual asset exchange through the virtual asset exchange causes volatility based on the current price evaluation according to the change in the value of virtual assets, and for transparent transactions, all transaction information is disclosed within the platform to support the understanding of the transaction status. , can support open transactions within the platform.

The foregoing artificial intelligence-based method for adjusting the divided value of goods and providing the divided value transaction service has been described with reference to the flow chart shown in the drawings. For brief description, the artificial intelligence-based method for adjusting the divided value of goods and providing the divided value transaction service has been illustrated and described as a series of blocks, but the present invention is not limited to the order of the blocks, and some blocks are shown in this specification It may be performed in a different order or concurrently with the procedures performed. In addition, new blocks not described in the present specification and drawings may be added, or some blocks may be deleted or changed.

Although the embodiments of the present invention have been described with reference to the accompanying drawings, those skilled in the art to which the present invention pertains can be implemented in other specific forms without changing the technical spirit or essential features of the present invention. you will be able to understand Therefore, it should be understood that the embodiments described above are illustrative in all respects and not restrictive.

100: Device for providing divisional value transaction service of goods (computing device)
200: user terminal
300: external server
400: network

Claims (11)

In a method performed by a computing device,
obtaining, from a buyer, a purchase request for at least one partial value unit of a plurality of partial value units, wherein the plurality of partial value units are generated by dividing the value of the product into a plurality of units; and
Based on the acquired purchase request, an adjusted value for the at least one partial value unit is calculated based on an artificial intelligence model, and a purchase contract corresponding to the acquired purchase request is concluded based on the calculated adjusted value. Including the steps of
The step of concluding the purchase contract,
Based on a plurality of purchase requests obtained from each of the plurality of buyers, wherein the plurality of purchase requests include the purchase number and purchase request amount of partial value units that each of the plurality of buyers intends to purchase, each of the plurality of buyers calculating an adjusted purchase amount by calculating an adjusted value of a partial value unit to be purchased and correcting a purchase request amount inputted from each of the plurality of buyers based on the calculated adjusted value of the partial value unit;
proposing the calculated purchase adjustment amount to the plurality of buyers; and
Concluding a plurality of purchase contracts corresponding to the obtained plurality of purchase requests as the proposed purchase adjustment amount is accepted from the plurality of buyers;
The step of concluding the plurality of purchase contracts,
When the proposed purchase adjustment amount is not accepted from at least one purchaser among the plurality of purchasers, the purchase adjustment amount is recalculated based on purchase requests obtained from the remaining buyers except for the at least one purchaser, and the purchase adjustment amount is recalculated. Re-proposing the calculated purchase adjustment amount to the remaining buyers,
A method for adjusting the split value of goods based on artificial intelligence and providing split value transaction services. According to claim 1,
Obtaining the purchase request,
In response to obtaining a sales request for the product from the seller, obtaining a plurality of purchase requests from a plurality of buyers for a predetermined period from the time of obtaining the sales request for the product,
The step of concluding the purchase contract,
Concluding simultaneously a plurality of purchase contracts corresponding to a plurality of purchase requests obtained during the predetermined period in response to a predetermined condition being satisfied,
A method for adjusting the split value of goods based on artificial intelligence and providing split value transaction services. According to claim 1,
The step of concluding the purchase contract,
calculating an adjusted value for the product based on a plurality of purchase requests obtained from each of the plurality of buyers;
calculating an average purchase request price for partial value units by dividing the calculated adjusted value of the product by the sum of the number of purchases input from each of the plurality of buyers; and
Calculating an adjusted value of a partial value unit that each of the plurality of buyers intends to purchase through a multiplication operation of the calculated average purchase request amount and the number of purchases input from each of the plurality of buyers.
A method for adjusting the split value of goods based on artificial intelligence and providing split value transaction services. According to claim 3,
The step of calculating the adjusted value of the article,
If the calculated adjusted value of the product is less than the preset lower limit, the calculated adjusted value of the product is changed to the preset lower limit, and if the calculated adjusted value of the product exceeds the preset upper limit, the calculated adjusted value of the product Including the step of changing the value to the preset upper limit,
A method for adjusting the split value of goods based on artificial intelligence and providing split value transaction services. delete delete According to claim 1,
In the step of calculating the purchase adjustment amount,
setting a weight for each of the plurality of buyers based on at least one of an investment propensity of each of the plurality of buyers and a buying and selling price for the product; and
Comprising the step of correcting the calculated purchase adjustment amount based on the set weight,
A method for adjusting the split value of goods based on artificial intelligence and providing split value transaction services. According to claim 1,
The step of concluding the purchase contract,
When a purchase contract for the at least one partial value unit is concluded in response to the acquired purchase request, recording information related to the concluded purchase contract on a blockchain network,
A method for adjusting the split value of goods based on artificial intelligence and providing split value transaction services. According to claim 1,
The step of concluding the purchase contract,
When a purchase contract for the at least one partial value unit is concluded in response to the acquired purchase request, at least one value corresponding to the value of the at least one partial value unit among a plurality of virtual assets issued in correspondence with the product. Including the step of allocating virtual assets of to the purchaser,
A method for adjusting the split value of goods based on artificial intelligence and providing split value transaction services. processor;
network interface;
Memory; and
A computer program loaded into the memory and executed by the processor,
The computer program,
An instruction for obtaining a purchase request for at least one partial value unit from a buyer of a plurality of partial value units for an item, wherein the plurality of partial value units are generated by dividing the value of the item into a plurality of pieces. ; and
instructions for calculating an adjusted value for the at least one partial value unit based on the acquired purchase request, and entering into a purchase contract corresponding to the acquired purchase request based on the calculated adjusted value;
The instruction for concluding the purchase contract,
Based on a plurality of purchase requests obtained from each of the plurality of buyers, wherein the plurality of purchase requests include the purchase number and purchase request amount of partial value units that each of the plurality of buyers intends to purchase, each of the plurality of buyers an instruction for calculating an adjusted value of a partial value unit to be purchased and calculating an adjusted purchase amount by correcting a purchase request amount input from each of the plurality of buyers based on the calculated adjusted value of the partial value unit;
an instruction for proposing the calculated purchase adjustment amount to the plurality of buyers; and
Concluding a plurality of purchase contracts corresponding to the obtained plurality of purchase requests as the proposed purchase adjustment amount is accepted from the plurality of buyers;
The instructions for concluding the plurality of purchase contracts,
When the proposed purchase adjustment amount is not accepted from at least one purchaser among the plurality of purchasers, the purchase adjustment amount is recalculated based on purchase requests obtained from the remaining buyers except for the at least one purchaser, and the purchase adjustment amount is recalculated. Including instructions for re-proposing the calculated purchase adjustment amount to the remaining buyers.
A device for adjusting the split value of goods based on artificial intelligence and providing a split value transaction service. Combined with a computing device,
obtaining, from a buyer, a purchase request for at least one partial value unit of a plurality of partial value units, wherein the plurality of partial value units are generated by dividing the value of the product into a plurality of units; and
calculating an adjusted value for the at least one partial value unit based on the acquired purchase request, and concluding a purchase contract corresponding to the obtained purchase request based on the calculated adjusted value;
The step of concluding the purchase contract,
Based on a plurality of purchase requests obtained from each of the plurality of buyers, wherein the plurality of purchase requests include the purchase number and purchase request amount of partial value units that each of the plurality of buyers intends to purchase, each of the plurality of buyers calculating an adjusted purchase amount by calculating an adjusted value of a partial value unit to be purchased and correcting a purchase request amount inputted from each of the plurality of buyers based on the calculated adjusted value of the partial value unit;
proposing the calculated purchase adjustment amount to the plurality of buyers; and
Concluding a plurality of purchase contracts corresponding to the obtained plurality of purchase requests as the proposed purchase adjustment amount is accepted from the plurality of buyers;
The step of concluding the plurality of purchase contracts,
When the proposed purchase adjustment amount is not accepted from at least one purchaser among the plurality of purchasers, the purchase adjustment amount is recalculated based on purchase requests obtained from the remaining buyers except for the at least one purchaser, and the purchase adjustment amount is recalculated. A computer program stored in a recording medium readable by a computing device in order to execute an artificial intelligence-based method for adjusting the divided value of goods and providing a divided value transaction service comprising the step of re-proposing the calculated purchase adjustment amount to the remaining buyers.

Images