KR20240016102A - Apparatus and method for management of bid - Google Patents

Abstract

Pertaining to a bid management device and a bid management method, the bid management device includes an information collection unit that collects bid information, converts the file format of the bid information into an extensible markup language format file, and obtains the converted bid information; , perform syntactic analysis on the converted bidding information to obtain at least one key information, use the at least one key information to determine whether a bid corresponding to the bid information is a recommended bid, and determine whether the bidding target is a bid. Conduct research on products or services to generate a list of quotations for products or services that can be acquired for bidding, and perform a profit and risk analysis on the bid based on the quotation list to re-determine whether to bid on the recommended target. And, if a profit is generated according to the bid or the generated profit is greater than a predefined standard, generating bidding information corresponding to the bidding information, and using the bidding information to determine one or more bidders to participate in the bidding. May include a processor.

Description

Bid management device and bid management method {APPARATUS AND METHOD FOR MANAGEMENT OF BID}

It relates to a bid management device and bid management method.

Ordering parties, such as multiple government offices, local governments, companies, or unions, purchase products or enter into service contracts through a bidding and award process. This process usually involves announcing relevant information to purchase a product or concluding a contract, receiving bids from multiple bidders, then determining the successful bidder through an opening bid process, and signing a contract with the successful bidder to purchase the product or receive services. The successful bidder will benefit through the provision of the ordered product or service. Accordingly, bidders continuously and frequently check order-related information, determine whether the order in question is beneficial to them or whether they have sufficient capabilities, and perform bidding according to the judgment results. However, since the timing of such orders is not set, bidders must frequently check each ordering company's website or brokerage site. In addition, even if an order is confirmed, not only is the order not always right for you, but you may not be able to win the bid even if the order is something you can perform, and you may not be able to process the order due to overbidding or overestimation of the bid price. It may not provide sufficient benefit to you. These factors were causing significant inconvenience in bidding and winning bids, and were reducing the work efficiency of bidders. Accordingly, in order to solve this problem, various technologies or services have been provided to collect bidding information or predict successful bid results, but there are still many problems that cannot be solved to resolve the inconvenience of bidders.

The goal is to provide a bid management device and bid management method that automatically classifies bids and related content, selects bids that match the user, determines the optimal bid price for the bid, and recommends them to users. Make it an assignment.

In order to solve the above-mentioned problems, a bid management device and a bid management method are provided.

The bid management device includes an information collection unit that collects bid information, converts the file format of the bid information into an extensible markup language format file, obtains the converted bid information, and performs parsing on the converted bid information. Obtain at least one key information, use the at least one key information to determine whether a bid corresponding to the bid information is a recommended bid, conduct a survey on the product or service to be bid, and make a bid. To create a quotation list for products or services that can be obtained, and based on the quotation list, a profit and risk analysis of the bid is performed to re-determine whether the recommended bid is to be made, and if a profit is generated according to the bid Alternatively, when the generated profit is greater than a predefined standard, it may include a processor that generates bid information corresponding to the bid information and determines one or more bidders to participate in the bid using the bid information.

The processor may assign a person in charge to process bidding information corresponding to the recommended bid.

The processor detects the price for the product or service that is the subject of the bidding by browsing the product database, generates cost information for the product or service based on the detected price, and generates cost information for the product or service based on the cost information. Create a quotation list, and if the price for the product or service is absent or insufficient in the product database, search through a wired or wireless communication network, request the provision of product information, and obtain the product in response to the request for information provision. The above quotation list can also be created using the information.

The bidding information includes all or part of the bidding information, a profit distribution method, and a recommended bidding amount, and the profit distribution method is. It includes at least one of a fixed profit guarantee method and a proportional profit distribution method, wherein the recommended bidding amount is determined by multiplying the basic amount, assessment rate, and successful bid lower limit rate of the bidding information, or is determined by using past bidding results. It can be determined using a trained learning model.

The recommended bid amount includes at least one bid amount range and a successful bid probability for the bid amount range, but the successful bid probabilities of at least two of the bid price ranges may be different from each other.

The bid management method includes collecting bid information, converting the file format of the bid information into an extensible markup language format file to obtain the converted bid information, and performing parsing on the converted bid information. Obtaining at least one key information, determining whether a bid corresponding to the bid information is a recommended bid using the at least one key information, conducting a survey on the product or service to be bid and making a bid. generating a quotation list for products or services that can be obtained for the purpose, performing a profit and risk analysis of the bid based on the quotation list to re-determine whether to bid for the recommended target, and if so, profit according to the bid If this occurs or the generated profit is greater than a predefined standard, it may include generating bidding information corresponding to the bidding information and determining one or more bidders to participate in the bidding using the bidding information.

The bid management method may further include the step of assigning a person in charge to process bid information corresponding to the recommended bid.

The step of generating a list of quotations for products or services that can be obtained for bidding by conducting research on the products or services that are the subject of the bidding includes browsing the product database and determining the price for the product or service that is the subject of the bidding. Detecting, generating cost information for the product or service based on the detected price; generating the quotation list based on the cost information; if the price for the product or service is absent or insufficient in the product database, searching through a wired or wireless communication network to request provision of product information; and It may include generating the quotation list using product information obtained in response to a request for information provision.

The bidding information includes all or part of the bidding information, a profit distribution method, and a recommended bidding amount, and the profit distribution method is. It includes at least one of a fixed profit guarantee method and a proportional profit distribution method, wherein the recommended bidding amount is determined by multiplying the basic amount, assessment rate, and successful bid lower limit rate of the bidding information, or is determined by using past bidding results. It can be determined using a trained learning model.

The recommended bid amount includes at least one bid amount range and a successful bid probability for the bid amount range, but the successful bid probabilities of at least two of the bid price ranges may be different from each other.

According to the bid management device and bid management method described above, it is possible to automatically classify bids and related content, select an appropriate bid that matches the user, determine the optimal bid price for the bid, and recommend it to the user. can be obtained.

According to the above-described bid management device and bid management method, it is possible to parse the contents of the bid announcement and automatically classify whether the corresponding bid is an announcement that the user can bid on or is of interest to the user.

According to the bid management device and bid management method described above, designation of a person in charge or matching a person in charge for the relevant bid can be automatically and quickly performed, making it possible to reconsider work efficiency related to bid management.

According to the bid management device and bid management method described above, it is possible to judge and prevent unreasonable or unnecessary bids by evaluating the bid value for a specific bid announcement based on the profit, profit rate, and risk for the bid. Accordingly, the economic efficiency and convenience of bidders can be improved.

According to the bid management device and bid management method described above, it is possible to improve the predictability of whether a bid will be successful by determining the optimal bid price based on artificial intelligence technology.

According to the above-described bid management device and bid management method, it is possible to obtain the effect of enabling bidders to more efficiently, accurately, and easily perform secondary tasks following a successful bid.

1 is a schematic diagram of one embodiment of a bid management system.
Figure 2 is a diagram showing an example of bidding information.
Figure 3 is a block diagram of an embodiment of a bid management device.
Figure 4 is a flow chart of one embodiment of a bid management method.

Throughout the specification below, the same reference signs refer to the same components unless there are special circumstances. Terms with the addition of 'unit' used below may be implemented as software and/or hardware, and depending on the embodiment, one 'unit' may be implemented as one physical or logical part, or a plurality of 'units' may be implemented. It is also possible to be implemented with one physical or logical part, or one 'part' to be implemented with a plurality of physical or logical parts. When a part is said to be connected to another part throughout the specification, this may mean that the part and the other part are physically connected to each other and/or electrically connected. In addition, when a part includes another part, this does not mean excluding another part other than the other part unless specifically stated to the contrary, and means that another part may be included depending on the designer's choice. do. Expressions such as the first to Nth (N is a natural number greater than or equal to 1) are intended to distinguish at least one part(s) from other part(s), and do not necessarily mean that they are sequential unless otherwise specified. Additionally, singular expressions may include plural expressions, unless the context clearly makes an exception.

Hereinafter, an embodiment of a bid management device and a bid management system including the same will be described with reference to FIGS. 1 to 3.

1 is a schematic diagram of one embodiment of a bid management system.

As shown in Figure 1, the bidding management system 1 according to one embodiment includes at least one bidding information providing device 10, at least one product information providing device 20, and at least one bidder terminal. It may include a device 30, at least one manager terminal device 90, and a bid management device 100. Here, at least one of the bidding information providing device 10, the product supply management device 20, the bidder terminal device 30, and the manager terminal device 90 may be omitted depending on the embodiment. In addition, at least two of the bidding information providing device 10, the product supply management device 20, the bidder terminal device 30, the manager terminal device 90, and the bidding management device 100 communicate through a wired or wireless communication network. Possibly connected, information, commands/instructions, or programs (which can be expressed as apps, applications, or software) can be transmitted one-way or two-way. Here, the wireless communication network is a short-range communication network (e.g., Wi-Fi, Wi-Fi Direct, or Bluetooth, etc.) and a long-distance communication network (e.g., 3GPP, 3GPP2, WiBro, etc.) or a mobile communication network implemented based on a mobile communication standard such as the WiMAX series, etc.).

Figure 2 is a diagram showing an example of bidding information.

As shown in FIG. 2, the bidding information providing device 10 can generate at least one piece of information 11 (hereinafter referred to as bidding information) related to bidding, and disclose and provide the bidding information 11 to the outside. Bidding information 11 can be expressed as a bid announcement or re-announcement, for example. The bidding information 11 may include text, diagrams, etc., and may be formatted as a document file (for example, a text file (txt), rich text file (RTF), hypertext) in a certain format according to the selection of the user, etc. It may be created as a markup language file (HTML), Microsoft Word document file (doc), or Hancom Office Hangul file (hwp), etc. Additionally, if necessary, the bidding information 11 may further include images (still images or moving images) or sounds. As shown in FIG. 2, the bidding information 11 includes, for example, orderer, matters submitted to bid, bid type, bid name, bid identification number, demand source, project amount, product details, supply classification number, and product type. , required product quantity, product delivery location, delivery deadline, service content, service provision location, service provision period, delivery or service provision conditions, evaluation matters, opening location, opening date and time, other matters, participation qualifications, method of determining successful bidder, and/or In addition, it may include at least one piece of information necessary for bidding, such as information related to bidding or winning bid. Additionally, the bidding information providing device 10 may generate and provide information about the successful bid result for a specific bid (hereinafter referred to as successful bid information). Successful bid information may include, for example, bid name, successful bidder, successful bid amount, or other information. The successful bid result may also be produced in a predetermined format such as a text file or hypertext markup language file.

The generated bidding information 11 may be provided to at least one other device (20, 30, 90, 100), for example, the bidding management device 100, through a wired or wireless communication network. According to one embodiment, the bidding information providing device 10 may provide an open application programming interface (open API) and includes at least one other device 20, 30, 90, 100, For example, the bid management device 100 can easily obtain bid information 11 or successful bid information using a public application programming interface.

Depending on the embodiment, the bidding information providing device 10 is a server device (100-1, 100-2) operated by the ordering party (for example, the Public Procurement Service or various construction companies, etc.) or a server device (100-1, 100-2) used by the ordering party for the purpose of providing bidding information. It may include at least one terminal device (for example, a desktop computer, laptop computer, smartphone, or tablet PC, etc.).

The product information providing device 20 can provide information about a desired product or service (hereinafter referred to as product information) to the bidding management device 100. Here, the desired product may include a product or service to be provided to the ordering party upon winning the bid. Product information includes supplier company information (business registration number, address, representative, person in charge, contact information, and/or website address, etc.), type of product or service, quality of product or service, price of product or service, and incidentals related to the provision of product or service. This may include cost, quantity in stock, quantity available on time, and/or level of service available. Depending on the embodiment, the product information providing device 20 may be a server device operated by a product manufacturer (product supplier) or a service provider, a server device used as an online marketplace, or at least one device used by these companies. It may include terminal devices, etc.

The bidder terminal device 30 may receive information related to a bid or successful bid from the bid management device 100 . For example, the bidder terminal device 30 collects bid information (for example, bid type or public money item classification number, etc.) collected by the bid management device 100 or successful bid related information (opening bid results) from the bid management device 100. , whether the bid is successful, successful bid amount, successful bidder, etc.), information generated by the bid management device 100 or obtained as a result of the judgment (e.g., bid information, etc., described later), information related to the contract and/or fees (e.g., profit distribution) You can receive information about format), etc. Additionally, the bidder terminal device 30 may transmit a request to provide bidding information, a request to provide processed information, a decision result on whether to bid, or a desired bid amount, etc. to the bid management device 100. The bidder terminal device 30 may include, for example, a server device operated by a person wishing to participate in a bid, or at least one terminal device (such as a smartphone or desktop computer) used by them.

The manager terminal device 90 is provided for operation or management of the bid management device 100. For example, the manager terminal device 90 transmits information, commands/instructions, or programs necessary for operation of the bid management device 100 to the bid management device 100, or operates from the bid management device 100. By receiving various data or errors generated in the process, the manager can properly maintain and manage the bid management device 100. Accordingly, the bid management device 100 can smoothly perform analysis or processing of bid information, as described later. Depending on the embodiment, the manager terminal device 90 may be directly connected to the bidding management device 100 through an intra network. The manager terminal device 90 may include, for example, a server device directly or indirectly operated by the manager or at least one terminal device used by the manager.

The bid management device 100 is configured to collect and analyze bidding information and then provide appropriate related information to the bidder terminal device 30. According to one embodiment, the bidding management device 100 may be implemented by using one or more information processing devices 100-1 and 100-2 alone or in combination. Here, one or more information processing devices (100-1, 100-2) include, for example, desktop computers, laptop computers, server hardware devices, smart phones, tablet PCs, smart watches, and head-mounted displays (HMDs). Mounted Display) devices, portable game consoles, navigation devices, digital televisions, set-top boxes, digital media player devices, media streaming devices, sound playback devices (artificial intelligence speakers, etc.), home appliances, manned/unmanned vehicles (passenger cars, buses, or two-wheeled vehicles) vehicles (e.g., mobile robots, wireless model vehicles, robot vacuum cleaners, etc.), manned/unmanned flying vehicles (aircraft, helicopters, drones, model airplanes, model helicopters, etc.), household/industrial/military robots, or industrial/military machines, etc. It may include, but is not limited to this. Depending on the embodiment, the bid management device 100 may be implemented using a specially designed device to perform processing or control operations as described later. When the bid management device 100 is implemented using two or more server devices 100-1 and 100-2, one server device 100-2 may be a database server device. The database server 100-2 maintains a database for current or past bidding information 11 (hereinafter referred to as bid information database), a database for products or services (hereinafter referred to as product database), or a database for bidders (hereinafter referred to as bidder database). You can save it.

Figure 3 is a block diagram of an embodiment of a bid management device.

As shown in FIG. 3, the bid management device 100 may include an information collection unit 101, a storage unit 103, an information output unit 105, and a processor 109. Depending on the embodiment, at least one of the information collection unit 101, the storage unit 103, and the information output unit 105 may be omitted.

The information collection unit 101 may collect bidding information 11 from the outside and transmit the collected bidding information 11 to the storage unit 103 or the processor 109. For example, the information collection unit 101 may collect and obtain at least one bid information 11 from at least one bid information providing device 10 through a wired or wireless communication network. More specifically, the information collection unit 101 connects to the bidding information providing device 10 periodically or aperiodically through a wired or wireless communication network, and determines whether new bidding information 11 exists in the bidding information providing device 10. In this case, at least one bid information 11 may be collected by obtaining all or part of the relevant bid information 11. In this case, it is also possible to use the open application programming interface provided by the bidding information providing device 10. Additionally, the information collection unit 101 may receive and obtain the bidding information 11 through manual input from an administrator or a separately provided physical recording medium (external USB memory device, compact disk (CD), etc.). In this case, the administrator terminal device 90 may be used. Depending on the embodiment, the information collection unit 101 may collect the bidding information 11 using photography of printed bid notices or recording of speech in response to the bid notice. The information collection unit 101 may further obtain successful bid information (i.e., successful bid result) or product information (for example, price for a product or service, etc.) corresponding to the relevant bid information 11. Successful bid information may be obtained through the same method as the acquisition of the bidding information 11 or through a different method. The information collection unit 101 includes, for example, a keyboard, mouse, touch screen, scanner device, image capture module, motion detection sensor, light receiving sensor, pressure sensor, microphone, data input/output terminal, and communication module (eg, LAN card). , a short-range communication module, a mobile communication module, etc.), but is not limited thereto.

The storage unit 103 may temporarily or non-temporarily store data, commands, or programs necessary for the operation of the bid management device 100. For example, the storage unit 103 may store the bidding information 11 or successful bid information collected by the information collection unit 101, price information for at least one product or service, or temporarily or during processing by the processor 109. Non-temporarily generated information, etc. can be stored. Information generated during the processing of the processor 109 may include, for example, a parsing result for the bid information 11, a person assigned to the bid information 11, a cost related to the bid information 11, and a determined It may include profit rate, bidding information, information about at least one bidder, and/or one or more bidders who have decided to recommend the bidding information 11, etc. The storage unit 103 may store the collected information in the form of a database (for example, a bid information database, a product database, or a bidder database, etc.). The stored data may be transmitted to the information output unit 105 or the processor 109 according to a call of the processor 109, etc. The program stored in the storage unit 103 may be prepared for the operation of the processor 109, may be directly written or modified by a designer such as a programmer, may be transmitted from another physical recording medium, and may be transmitted through a wired or wireless device. It may be acquired or updated through an electronic software distribution network accessible through a telecommunications network. The storage unit 103 may include, for example, at least one of a main memory and an auxiliary memory, and these may be manufactured using a semiconductor or magnetic disk.

The information output unit 105 may externally output information stored in the storage unit 103 or processed by the processor 109. For example, the information output unit 105 outputs bid information 11, successful bid information, analysis results for bid information 11, person in charge, cost, profit rate, bid information, and/or judgment result on recommendation, etc. can do. Depending on the embodiment, the information output unit 105 may output the above-described information to the outside visually or audibly, or to the bidder terminal device 30 or the manager terminal device 90 through a wired or wireless communication network. The above-mentioned information may also be conveyed. Depending on the embodiment, the information output unit 105 may include, for example, a display, a printer device, a speaker device, an image output terminal, a data input/output terminal, and/or a communication module, but is not limited thereto. Depending on the embodiment, the information output unit 105 may be manufactured integrally with the information collection unit 101.

The processor 109 analyzes the bidding information 11 based on data collected by the information collection unit 101 or stored in the storage unit 103, and recommends the bidding information 11 based on the analysis results. An operation may be performed to determine a bidder. Additionally, the processor 109 may further perform operations such as processing work related to a contract between a successful bidder and an orderer or distributing profits according to a successful bid. The processor 109 may execute the program stored in the storage unit 103 and perform the above-described operations. The processor 109 may include, for example, a central processing unit (CPU), a graphics processing unit (GPU), a microcontroller unit (MCU), and an application processor (AP). ), an electronic control unit (ECU), and/or at least one electronic device capable of performing various calculations and control processes, etc. may be used singly or in combination.

Referring to FIG. 3, in one embodiment, the processor 109 includes a bid information processing unit 110, a bid selection unit 120, a person in charge determination unit 130, a product investigation unit 140, and a profit judgment. It may include a unit 150, a bidding information generation unit 160, a bidder determination unit 170, a bid management unit 180, and an opening bid post-processing unit 190. At least two of these (110 to 190) may be logically separated or physically separated. Depending on the embodiment, at least one of these (110 to 190) may be omitted.

The bid information processing unit 110 may convert the bid information 11 and process it into a form that the processor 109 can properly process.

According to one embodiment, when at least one bid information 11 is delivered from the information collection unit 101 or the storage unit 103, the bidding information processing unit 110 first processes the file format of the bidding information 11. It can be converted into a form that is possible or easy. More specifically, for example, when the bidding information 11 is delivered in the form of a Microsoft Word document file (doc) or Hancom Office Hangul file (hwp), the bidding information processing unit 110 processes the corresponding file(s). You can obtain converted bidding information by converting it into a file in extensible markup language (XML, eXxtensible Markup Language) format. Depending on the situation, file conversion for the bidding information 11 may not be performed.

Subsequently, the bidding information processing unit 110 performs parsing on the bidding information obtained directly or by converting the bidding information 11, and according to the result of the classification analysis, at least one main information (12 ) can be obtained. For example, the bid information processing unit 110 decomposes the sentences in the bid information 11 or the converted bid information into constituent components (tokens), analyzes the relationships between them, and creates a corresponding hierarchical structure (for example, a parse tree). tree), etc.) and perform analysis based on the hierarchical structure to extract at least one key information (12) from the bidding information (11). Here, key information (12) may include the project amount (13), delivery deadline (deadline) (14), estimated price (15), participation qualifications (16), and/or method of determining the successful bidder (17). , this is exemplary. The main information 12 may be defined or set in whole or in part differently depending on the choice of the designer, manager, or bidder. Key information 12 extracted by the bid information processing unit 110 may be stored in the storage unit 103, etc., and depending on the embodiment, may be stored in the bid information database described above.

The bid selection unit 120 uses all or part of the information included in the bid information 11, for example, key information 12, and recommends that the bid corresponding to the bid information 11 is suitable for participation. You can select a bid by determining whether or not it is a bid. Accordingly, among all the bid information 11, the bid information 11 for the bid to be recommended (hereinafter referred to as the bid to be recommended) is selected. Here, the bid information (11, for example, key information 12) may be received from the bid information processing unit 110 described above, or may be obtained from a bid information database built in the storage unit 103.

According to one embodiment, the bid selection unit 120 compares the contents of the key information 12 with predefined conditions, and according to the comparison result, the bid for the corresponding bid information 11 is appropriate for the recommended bid or recommendation. A decision is made on a bid that was not made (hereinafter referred to as a non-recommended bid). Specifically, as a result of the comparison, if the contents of the main information 12 and the predefined conditions correspond to each other, the bid selection unit 120 determines that the bid for the corresponding bid information 11 is a recommended bid, otherwise, A bid on the relevant bid information 11 may be judged as a non-recommended bid. Depending on the embodiment, on the contrary, the bid selection unit 120 determines that the bid of the bid information 11 is a non-recommended bid if the contents of the key information 12 and the predefined conditions correspond to each other, and otherwise, the bid selector 120 determines that the bid of the bid information 11 is a non-recommended bid. It is also possible to determine that a bid for information 11 is a recommended bid. Bid information 11 corresponding to a non-recommended bid may be discarded. In more detail, for example, the bid selection unit 120 checks the key information 12, and if manufacturing for the product to be delivered is required, a qualification screening exists, or a final inspection process is required, the bid qualification is limited. Subsequently, because it is difficult for multiple bidders to participate or bid, the bid is judged to be a non-recommended bid in which participation is impossible or participation is inappropriate. Otherwise, the bid may be determined as a recommended bid in which multiple bidders can participate. The determination of whether manufacturing is necessary, whether a qualification audit exists, and/or whether a final inspection process is necessary may be performed sequentially.

When the bid information 11 corresponding to a recommended target bid that can participate is selected by the bid selection unit 120, the person in charge determination unit 130 can determine and assign a person in charge to process the selected bid information 11. there is. Here, the person in charge includes a person who will perform and process necessary tasks regarding the assigned bidding information 11. According to one embodiment, the person in charge determination unit 130 assigns the selected bid information 11 to at least one person in charge by referring to the person in charge, the person in charge, the field in charge, and/or the current work processing status of the person in charge. can do. More specifically, for example, the person in charge determination unit 130 determines the type of the product or service using the classification number (for example, detailed item number, etc.) for the product or service in the key information 12, and determines the type of product or service. After determining the field of responsibility corresponding to the type of service, one or more people in charge of the field can be searched from the database of the storage unit 103 or the database server 100-2. When the person in charge (s) for the field in charge is detected, the person in charge determination unit 130 determines the region by referring to the region (for example, Seoul Metropolitan City, etc.) of the key information 12, and determines the person in charge (s) for the field in charge. ), by searching and determining one or more people in charge of the area, checking the workload of the person in charge of the field and the area, if necessary, and detecting the person whose current workload is relatively small among them. , it is also possible to determine the person in charge of the relevant bidding information (11).

The product research unit 140 may conduct research on products or services that are subject to bidding and, based on this, generate a list of products or services that can be acquired for bidding (hereinafter referred to as a quote list). According to one embodiment, the product research unit 140 investigates the price of the product or service subject to bidding, obtains information on the cost of the product or service (hereinafter referred to as cost information), and creates a quotation list based on this. You may. In this case, the product research unit 140 may detect the price for the product or service by browsing the product database stored in the storage unit 103, etc., and generate cost information for the product or service based on this. If there is no or insufficient information on the price of the product or service in the product database, etc., the product research unit 140 searches for manufacturers or online marketplaces that can provide the product or service through a wired or wireless communication network, and searches for the relevant company. Provision of product information can be requested from the product information provision device 20, such as the like. A request to provide information may be performed based on a document in a predefined specific form. Searches for manufacturers, etc. or requests to provide product information can be performed automatically according to the operation of the person in charge or according to predefined settings. Depending on the embodiment, it is also possible to use a public application programming interface to search for products and request product information. When product information about a product or service is received in response to a request for information provision, the product research unit 140 may generate or supplement a quotation list based on this. Product information obtained in response to an information provision request may be transmitted to the storage unit 103 as needed, and the product database may be updated by the received product information. Depending on the embodiment, the product research unit 140 may further analyze the company's ability to supply products or services. For example, the product research unit 140 analyzes the supply capacity of the company by combining the inventory status of the product, the size of the company, the size of the production facility, sales or sales volume, etc., and determines the supply capacity to be at a predefined level. You can also create a quote list using only the products or services of the above companies.

The profit judgment unit 150 performs profit and risk analysis based on the quotation list, re-determines whether the bid corresponding to the bid information 11 is a recommended bid worth participating in according to the analysis result, and re-determines the result. Based on this, it can be decided whether to process the relevant bidding information (11). Specifically, for example, the profit judgment unit 150 compares the cost shown in the quote list with the estimated price or lower bid limit rate of the bid information 11, and determines whether no profit is generated or the profit generated is predefined. If it is less than the standard, the relevant bidding information 11 is discarded. Conversely, if a profit is generated or the generated profit is greater than the predefined standard, the relevant bidding information 11 can be transmitted to the bidding information generation unit 160. . Depending on the embodiment, the profit determination unit 150 may calculate the profit rate (profit compared to the bidding price), perform a comparison based on the profit rate, and determine whether to discard the corresponding bid information 11. Here, the predefined standard to be compared may include the size of profit or profit rate.

If the bid information 11 is finally determined to be a recommended bid as a result of re-judgment based on profit and risk analysis, the bid information generation unit 160 may generate bid information corresponding to the bid information 11. Bidding information may include all or part of the bidding information (11) (e.g., classification number of bear grade goods or ordering party, etc.), profit distribution method, and bidding amount to be recommended to the bidder (hereinafter referred to as recommended bidding amount), but is limited to this. It doesn't work. The bidding information generation unit 160 may determine a profit distribution method according to the profit and risk analysis results and generate bidding information including this. Here, the profit distribution method is, for example, a method of guaranteeing a minimum fixed profit from the bidder (a method of guaranteeing a fixed profit, for example, a certain percentage of the total bid amount as profit), or a method of guaranteeing a certain percentage of the generated profit (eg. This may include a method of dividing profits (proportional distribution method) such as 5:5, 6:4, 7:3, or 8:2. Additionally, the bidding information generation unit 160 may determine the recommended bidding amount and generate bidding information including the recommended bidding amount. For example, the bid amount may be determined by multiplying the basic amount, assessment rate, and lower successful bid limit rate that appear in the recommended bid information 11 or are calculated separately. Depending on the embodiment, the bidding information generator 160 uses a learning model (for example, a deep neural network (DNN) or a convolutional neural network (CNN)) to determine the optimal recommended bidding amount. It is also possible to use (possible to include). Here, the learning model may be pre-trained using past bidding results, for example, based on information such as evaluation rate, orderer, item, competitor(s), and/or winning bid price for past bids. It may be trained. Additionally, depending on the embodiment, the recommended bid amount may include a bid amount range and a probability value corresponding thereto. In this case, the bidding information generation unit 160 determines one or more bid price ranges using the basic amount, assessment rate, and lower successful bid limit rate or using a pre-trained learning model, and determines the probability of winning the bid for the corresponding bid price range. After making the decision, bidding information may be generated using all or part of these sections. In this case, the probabilities of at least two successful bids among the bid amount ranges may be different. Depending on the situation, the probability of winning a bid may be the same for some bid price ranges. Depending on the embodiment, bid information may be generated including only the bid price range with the highest probability of successful bid among all bid price ranges.

The bidder determination unit 170 may use the bidding information to determine one or more bidders suitable for the relevant bidding information 11. For example, the bidder determination unit 170 reads information about bidders stored in the storage unit 103, and matches the qualifications required for bidding (for example, detailed item number, location, or small business owner) among them. By detecting a bidder, a bidder suitable for the relevant bidding information 11 may be determined. Information about bidders may be obtained from a bidder database.

When a bidder is determined, the bid management unit 180 can control the information output unit 105 to transmit bidding information to the bidder terminal device 30 of the determined bidder. If necessary, when the bidder terminal device 30 transmits a bid participation request or information about bidding participation, the bid management unit 180 may record this in the storage unit 103.

The post-bidding processing unit 190 can check the successful bid information for the corresponding bid and determine whether the determined bidder is successful. The opening bid post-processing unit 190 may obtain successful bid information from the bidding information providing device 10, and may use a public application programming interface provided by the bidding information providing device 10 for this purpose. Successful bid information may be transmitted to the bidder terminal device 30 through the information output unit 105. In one embodiment, when it is confirmed that the bidder determined through the above process has been successful, the opening bid post-processing unit 190 transmits the successful bid result to the bidder terminal device 30 of the successful bidder, and depending on the embodiment, the successful bidder (i.e. , carry out an electronic contract between the determined bidder and the ordering party, proceed with all or part of the manufacturing, procurement, delivery, inspection of goods, etc., or electronic document processing related thereto, request settlement from the ordering party, and/or bid information The settlement amount may be distributed according to the profit distribution method generated by the generation unit 160.

Through the above-described process, those wishing to bid can quickly and easily check the orderer's bid announcement and more rationally decide whether to participate in the bid. In addition, bidders can more conveniently perform post-processing, such as confirming whether the bid has been successful and signing a contract after the successful bid.

Hereinafter, an embodiment of a bid management method will be described with reference to FIG. 4.

Figure 4 is a flow chart of one embodiment of a bid management method.

As shown in FIG. 4, bidding information is first collected (400). Bidding information may be obtained based on a wired or wireless communication network from a bidding information providing device operated by an ordering entity, etc., and depending on the embodiment, may be obtained using a public application programming interface. To obtain bidding information, the bidding management device may periodically or aperiodically access the bidding information providing device.

The acquired bidding information may be converted for parsing (402), depending on the embodiment. For example, bidding information produced as a text file, HTML file, Word file, or Hangul file may be converted into an extensible markup language format.

Subsequently, parsing of the bid information or converted bid information may be performed (404). For example, each sentence in the bidding information or converted bidding information is divided into components, and a hierarchical structure such as a parse tree is created according to the relationship between each component(s). When syntax analysis is performed, at least one key information can be extracted from the bidding information or the converted bidding information using this. For example, when a hierarchical structure is created as described above, the contents are analyzed based on this and at least one key information is extracted from the bidding information or the converted bidding information. Key information may include, for example, project amount, delivery deadline, estimated price, participation qualifications, assessment rate, and/or method for determining successful bidders.

Bidding information is selected based on at least one piece of information, for example, main information, of the bidding information. At this time, it is determined whether the bid corresponding to the relevant bid information is a recommended bid in which the bidder can participate or a non-recommended bid in which the bid is unnecessary, and the bid information corresponding to the recommended bid is separately selected (406). Predefined conditions may be used to select bidding information. Here, the predefined conditions are for determining whether bidding qualifications are limited and may include, for example, whether a product needs to be manufactured, whether a qualification screening exists, or whether a final inspection process is necessary. Specifically, when key information is given, a comparison is made between the content of the key information and the above-mentioned conditions, and depending on the results of comparison between the content of the main information and the above-mentioned conditions, the appropriateness of the bid is determined. For example, if the analysis of key information determines that the successful bidder's product needs to be manufactured or that a strict qualification review exists, the bid is determined to be limited and the bid is judged to be inappropriate and discarded. Conversely, if these conditions are absent, the bid is determined as an appropriate bid in which multiple bidders can participate.

Once appropriate bidding information that can participate is selected, a person in charge of processing the selected bidding information may be determined and assigned (408). The decision of the person in charge may be made based on the area in charge, the person in charge, the person in charge, and/or the person in charge's current work processing status. For example, if there is a classification number for the product subject to bidding, at least one person in charge for that classification number is determined, and if there is a region for the successful bidder, a person in charge for that region is selected and determined from among the previously determined managers. , the person in charge can be finally determined by checking the workload of the determined person in charge and selecting a person in charge with a relatively small amount of work to be performed.

Once the person in charge is determined, a search for the product or service subject to the bidding information is started automatically or according to the person in charge, and a quotation list for the product or service is created (410). For example, the database for existing products is viewed to obtain cost information for the product or service subject to bidding, and if the cost information for the product or service is absent or insufficient in the database, automatically or by a representative. Depending on the operation, you can obtain cost information about the product or service by browsing the manufacturer's homepage or online marketplace. In the latter case, cost information for a product or service is requested by sending a document in a specific form to a product information provision device such as a manufacturer, and cost information is obtained by receiving corresponding cost information from the same or different product information provision device. You may. Once cost information is obtained, the cost information can be added to the quote list along with the corresponding product or service, and further added to the database as needed. It is also possible for the quotation list to be created to better reflect the company's supply capabilities.

Subsequently, profit and risk analysis is performed based on the quotation list, and a re-judgment on the relevant bidding information may be performed according to the analysis results (412). Specifically, the costs shown in the quote list are analyzed using the estimated price of the bid information or the lower limit rate of successful bid, etc., and if it is determined that no profit is generated or the profit generated is less than the predefined standard as a result of the analysis, the bid is not participated. It is judged to be a non-recommended bid due to lack of value, and the relevant bid information is discarded. Depending on the embodiment, profit margin may be used for analysis.

If a profit is generated or the generated profit (or profit rate) is greater than a predefined standard, the bid regarding the relevant bidding information is determined to be a recommended bid, and bidding information corresponding to the relevant bidding information may be generated. Bidding information may include, for example, bidding information, profit distribution method, and recommended bidding amount. The profit distribution method may include a method of guaranteeing a minimum profit to bidders or a method of dividing the generated profit by a certain ratio. The recommended bid amount may be calculated, for example, by multiplying the base amount, the assessment rate, and the lower successful bid limit rate. Additionally, the recommended bidding amount may be determined using at least one learning model. If necessary, the recommended bid amount may be included in the bid information in the form of a bid amount range. In this case, the successful bid probability calculated for each bid price range may be included in the bid information.

When bidding information is generated, a bidder suitable for the bidding information may be determined (416). For example, the bidder's decision may be made based on the qualifications required for bidding (eg, detailed item number, location, or whether the bidder is a small business, etc.). Once a bidder is determined, bidding information is provided to the bidder terminal device of the determined bidder. Bidders can check the bidding information and decide whether to participate in the bidding.

Thereafter, successful bid information corresponding to the relevant bid is obtained using a bid information provision device, etc. (418). Successful bid information may be transmitted to the terminal device of the determined bidder. As a result of checking the successful bid information, if the determined bidder is confirmed to be the successful bidder, various processes according to the successful bid may be performed. For example, the progress of a contract, the manufacture, procurement or inspection of goods, the processing of related documents, settlement requests and profit distribution, etc. may be performed automatically or through manipulation by a person in charge.

The bid management method according to the above-described embodiment may be implemented in the form of a program that can be driven by a computer device. A program may include instructions, libraries, data files, and/or data structures, etc., singly or in combination, and may be designed and produced using machine code or high-level language code. The program may be specially designed to implement the above-described method, or may be implemented using various functions or definitions that are known and available to those skilled in the art in the computer software field. In addition, here, the computer device may be implemented by including a processor or memory that enables the function of the program, and may further include a communication device if necessary. A program for implementing the above-described bid management method may be recorded on a recording medium readable by a device such as a computer. Recording media that can be read by a computer include, for example, semiconductor storage media such as ROM, RAM, SD cards, or flash memory (eg, solid state drives (SSD), etc.), or magnetic disk storage such as hard disks or floppy disks. At least one medium capable of temporarily or non-temporarily storing one or more programs that are executed upon call from a device such as a computer, such as an optical recording medium such as a compact disk or DVD, or a magneto-optical recording medium such as a floptical disk. It may include any type of physical storage medium.

Although several embodiments of the bid management device and bid management method have been described above, the device or method is not limited to only the above-described embodiments. Various other devices or methods that can be implemented by those skilled in the art by modifying and modifying the above-described embodiments based on the above-described embodiments may also be an embodiment of the above-described bid management device or bid management method. For example, the described method(s) may be performed in an order other than as described, and/or component(s) of the described system, structure, device, circuit, etc. may be combined, connected, or otherwise in a form other than as described. Even if combined or replaced or replaced by other components or equivalents, it can be an embodiment of the bid management device and/or bid management method described above.

1: Bidding management system 10: Bidding information provision device
20: Product information provision device 30: Bidder terminal device
90: Administrator terminal device 100: Bidding management device
101: Information collection department 103: Storage department
105: information output unit 109: processor
110: Bid information processing department 120: Bid selection department
130: Person in charge determination department 140: Product investigation department
150: Interest judgment department 160: Bidding information generation department
170: Bidder determination department 180: Bidding management department
190: Ticket gate post-processing department

Claims (10)

an information collection department that collects bidding information;
Obtaining the converted bidding information by converting the file format of the bidding information into an extensible markup language format file,
Perform parsing on the converted bidding information to obtain at least one key information,
Using the at least one key information, determine whether the bid corresponding to the bid information is a bid to be recommended,
Conduct research on products or services subject to bidding and generate a list of quotations for products or services available for bidding;
Based on the quotation list, perform a benefit and risk analysis of the bid to re-determine whether to bid for the recommendation,
If a profit is generated according to the bid, or if the profit generated is greater than a predefined standard, bid information corresponding to the bid information is generated,
Bidding management device including a processor that determines one or more bidders to participate in the bidding using the bidding information. According to paragraph 1,
The processor is a bid management device that assigns a person in charge of processing bid information corresponding to the recommended bid. According to paragraph 1,
The processor detects the price for the product or service that is the subject of the bidding by browsing the product database, generates cost information for the product or service based on the detected price, and generates cost information for the product or service based on the cost information. Create a quote list,
If the price for the product or service is absent or insufficient in the product database, search through a wired or wireless communication network, request the provision of product information, and use the product information obtained in response to the information provision request to obtain the quotation. A bid management device that creates a list. According to paragraph 1,
The bidding information includes all or part of the bidding information, a profit distribution method, and a recommended bidding amount,
The above profit distribution method is: Includes at least one of a fixed profit guarantee method and a proportional profit distribution method,
The recommended bidding amount is a bid management device that can be determined by multiplying the basic amount of the bidding information, the assessment rate, and the lower successful bid limit rate, or by using a learning model previously trained using past bidding results. According to paragraph 4,
The recommended bid amount includes at least one bid amount range and a successful bid probability for the bid amount range, wherein the successful bid probabilities of at least two of the bid amount ranges are different from each other. collecting bidding information;
Converting the file format of the bidding information into an extensible markup language format file and obtaining the converted bidding information;
Obtaining at least one key information by performing parsing on the converted bidding information;
determining whether a bid corresponding to the bid information is a bid to be recommended using the at least one key information;
Conducting research on products or services subject to bidding and generating a list of quotations for products or services available for bidding;
Performing a benefit and risk analysis of the bid based on the quotation list to re-determine whether to bid on the recommended target;
If a profit is generated according to the bid or the profit generated is greater than a predefined standard, generating bid information corresponding to the bid information; and
A bid management method comprising determining one or more bidders to participate in the bid using the bid information. According to clause 6,
A bid management method further comprising assigning a person in charge to process bid information corresponding to the recommended bid. According to clause 6,
The step of conducting research on products or services subject to the bidding and generating a list of quotations for products or services that can be obtained for bidding is,
detecting the price of the product or service subject to the bidding by browsing a product database;
generating cost information for the product or service based on the detected price; generating the quotation list based on the cost information;
If the price for the product or service is absent or insufficient in the product database, searching through a wired or wireless communication network to request provision of product information; and
A bid management method comprising generating the quotation list using product information obtained in response to the information provision request. According to clause 6,
The bidding information includes all or part of the bidding information, a profit distribution method, and a recommended bidding amount,
The above profit distribution method is: Includes at least one of a fixed profit guarantee method and a proportional profit distribution method,
The recommended bid amount may be determined by multiplying the basic amount of the bidding information, the evaluation rate, and the lower successful bid limit rate, or may be determined using a learning model previously trained using past bidding results. According to clause 9,
The recommended bid amount includes at least one bid amount range and a successful bid probability for the bid amount range, wherein the successful bid probabilities of at least two of the bid amount ranges are different from each other.