KR20210141153A - System for matching founder/supplier and verifying estimate based on artificial intelligence - Google Patents

Abstract

The present invention relates to a quote verification system. More particularly, the present invention relates to a system for artificial intelligence-based founder-supplier matching and quote verification. According to the present invention, matching is performed between a tangible and intangible product service supplier and a founder with little information, and thus various types of startup information can be checked. In addition, an objective product quote is issued for startup trial and error minimization. The present invention includes: a supplier terminal transmitting information on a product to be traded by business type and startup support information for supporting startup in the business type; a founder terminal transmitting startup preparation information as at least one of business type, budget, and region for startup and founder information as at least one of age, gender, career, family information, academic career, and place of residence; and a startup management server performing supplier-founder matching based on the product information and startup support information from the supplier terminal and the startup preparation information and founder information from the founder terminal, automatically generating a verified quote on tangible and intangible products on condition that it is necessary for startup by a founder or at the request of the founder terminal, and feeding the quote back to the founder terminal.

Description

AI-based founder/supplier matching and quotation verification system {SYSTEM FOR MATCHING FOUNDER/SUPPLIER AND VERIFYING ESTIMATE BASED ON ARTIFICIAL INTELLIGENCE}

The present invention relates to a quotation verification system, and more specifically, by matching suppliers who service tangible and intangible products for entrepreneurs lacking information, so that various start-up information can be checked, and trial and error during start-up by issuing quotations for objective products It is about an AI-based founder/supplier matching and quotation verification system to prevent it as much as possible.

Recently, the number of small business owners such as individual entrepreneurs and self-employed people who wish to start a new business is rapidly increasing. it is normal

In order to start a business, a wide range of knowledge is required in various fields such as taxation, accounting, legal affairs, intellectual property rights, real estate transaction, and public relations. Inevitably, the process is also followed. As mentioned above, there are many practical difficulties for founders to have abundant knowledge in advance in various ways, and it is also true that it is difficult to start a business smoothly only with information found on the Internet.

In order to solve the aforementioned difficulties, it is almost impossible for the founder to check the detailed information or tangible and intangible product information necessary for starting a business while visiting the relevant business sites one by one offline, and it is also inefficient and limited in obtaining objectively verified information. there is

Therefore, it is necessary to come up with a way to easily provide overall information necessary for founders, from intangible consulting information necessary for business start-up and subsequent business operation, to estimates of raw and subsidiary materials necessary for operation of business sites or production of products for sale.

Republic of Korea Patent Publication No. 10-2016-0089721 Republic of Korea Patent Publication No. 10-2017-0016609

The present invention has been devised to solve the problems of the prior art, and it is possible to provide various start-up information and tangible and intangible product services to founders lacking information through a supplier, and also to make a transaction based on a verified product estimate. The purpose is to provide an AI-based founder/supplier matching and quotation verification system that can minimize risks.

In order to achieve the above object, the present invention, a supplier terminal for transmitting product information to be traded by industry and business start-up support information for supporting the start-up of the corresponding industry; a founder terminal for transmitting at least any one or more of start-up preparation information and age, gender, career, family relationship, academic background, and residence of at least any one or more of the founder information of at least one of business type, budget, and region for start-up; Based on the product information and start-up support information transmitted by the supplier terminal and the start-up preparation information and founder information transmitted by the founder terminal, it is predicted that the supplier and the founder are required for starting a business or tangible and intangible products at the request of the founder terminal after matching the supplier and the founder. and a startup management server that automatically generates a verified estimate of and feeds back to the founder's terminal.

Here, when the founder terminal transmits product information to be purchased directly, the startup management server includes an error determination module for replying whether or not there is an error by comparing it with the quote generated by the founder terminal, and evaluation information on the product transacted after issuing the quote to the founder's terminal It is characterized in that it is provided with a product evaluation management module for receiving a reply.

In addition, the start-up management server includes a product configuration update module that updates the product configuration for the quote transmitted to the founder terminal by reflecting the evaluation information on the product in connection with the product evaluation management module, and the received product information in atypical state, start-up and an estimate data determination module for judging whether the application information, the start-up preparation information, and the founder information are suitable as the estimate generation data by standardizing the information.

Additionally, the start-up management server includes a quotation learning engine that uses the quotation generation data determined to be suitable by the quotation data determination module as data for machine learning, wherein the quotation learning engine uses the quotation generation data as the quotation data for learning and the quotation for evaluation It is preprocessed with data and a verified estimate is generated through selection of evaluation variables and input variables for the preprocessed data, and an estimate to be generated considering input variables for past and current preprocessed data through RNN (Recurrent Neural Networks) It is characterized by inference.

The artificial intelligence-based founder/supplier matching and quotation verification system according to the present invention as described above can exhibit the following effects.

1. Supporting founders to easily check verified comparative estimates for tangible and intangible products to be traded along with various start-up information necessary for starting a business

2. It is possible to prevent unnecessary situations such as trial and error and fraud caused by information imbalance in the founder's start-up process

3. In the transaction process, errors in the product selected by the founder can be verified and an optimized product can be recommended

4. By analyzing the information and satisfaction evaluation of the transaction process, the composition of recommended products can be verified and automatically updated according to the trend

1 is a diagram schematically showing an AI-based founder/supplier matching and quotation verification system according to the present invention
Figure 2 is a view showing the main components of the startup management server of the AI-based founder / supplier matching and quotation verification system according to the present invention
3 is a view showing a use case of the AI-based founder / supplier matching and quotation verification system according to the present invention

The terms or words used in the present specification and claims should not be construed as being limited to their ordinary or dictionary meanings, and the inventor may properly define the concept of the term in order to best describe his invention. It should be interpreted as meaning and concept consistent with the technical idea of the present invention based on the principle that there is.

Therefore, the configuration shown in the embodiments and drawings described in the present specification is only the most preferred embodiment of the present invention, and does not represent all the technical spirit of the present invention, so they can be substituted at the time of the present application It should be understood that various equivalents and modifications may be made.

Hereinafter, an artificial intelligence-based founder/supplier matching and quotation verification system according to the present invention will be described with reference to the drawings.

1 is a diagram schematically illustrating an AI-based founder/supplier matching and quotation verification system according to the present invention.

The present invention is basically configured to include a supplier terminal, a founder terminal and a startup management server.

More specifically, the present invention provides a supplier terminal that transmits product information to be traded by industry and start-up support information to support start-up of the industry, and start-up preparation information such as industry/budget/region for start-up and age/gender/career Based on the founder terminal that transmits founder information such as /family relationship/educational background/residence/contact information, and product information and start-up support information transmitted by the supplier terminal, and start-up preparation information and founder information transmitted by the founder terminal, suppliers and founders After matching, it is predicted that it is necessary for the founder's start-up or includes a start-up management server that automatically generates a verified estimate of tangible and intangible products at the request of the founder's terminal and feeds it back to the founder's terminal.

The supplier terminal and the founder terminal communicate to handle a process related to transmission and reception of product information to be transacted, start-up support information, start-up preparation information, founder information, etc. by accessing the start-up management server through an online network, such supplier terminal and founder The terminal should be interpreted as including various communication means such as a desktop, tablet, netbook, personal digital assistant (PDA), portable multimedia player (PMP), smart phone, wearable smart device, and the like, web-based or separate software/application, etc. Through this, various functions provided by the startup management server can be executed.

The start-up management server can be built to serve as a kind of web server, database server, and mobile server. For example, the processed result can be displayed on a web page through an online network or the necessary input data can be transmitted through the web page. Here, the web page should be interpreted as including software for performing a specific task, such as a web application, in addition to simple text, image, sound, video, etc. It can also be built to provide an interface.

In addition, the online network referred to in the present invention may be a core network integrated with a wired public network, a wireless mobile communication network, or the portable Internet, and various services existing in the TCP/IP protocol and its upper layers, that is, Hyper Text Transfer (HTTP). Protocol), HTTPS (Hyper Text Transfer Protocol Secure), Telnet, FTP (File Transfer Protocol), DNS (Domain Name System), SMTP (Simple Mail Transfer Protocol), etc. , which is not limited to these examples and refers to a comprehensive data communication network capable of transmitting and receiving data in various forms.

Hereinafter, specific details related to the startup management server will be described.

2 is a view showing the main components of the startup management server in the AI-based founder/supplier matching and quotation verification system according to the present invention.

<Main Components, Functions and Effects of Startup Management Server>

* Member registration module

- In the case of a supplier when registering as a member, supplier information such as business information (can be replaced with a business registration certificate) / major transaction products / contact information is transmitted

- In the case of founders, start-up preparation information such as industry/budget/region for start-up and founder information such as age/gender/experience/family relationship/educational background/residence/contact information are transmitted.

* Startup information DB

- Registers and manages product information to be traded by type of business transmitted from the supplier and business start-up support information to support start-up in the relevant industry

- Examples of intangible product information include tax, accounting, legal affairs, intellectual property rights, real estate transaction, marketing, and start-up consulting-related service costs, procedures, period, service methods, etc. Examples of tangible product information include product name, price, performance , specifications, installation conditions, usage conditions, usage, compatibility, discount conditions, set composition, etc.

- Examples of start-up support information include business registration/incorporation procedures by industry, various start-up support projects hosted by the government and local governments, business loans, and tax saving measures.

* Founder detailed information matching module

- Based on the start-up preparation information and founder information, product information and start-up support information registered in advance in the start-up information DB are matched, and necessary tangible and intangible product information and start-up support information can be automatically fed back to the founder terminal.

- Only the information registered by the founder at the time of membership registration can be provided to the founder by quickly and easily creating a variety of information necessary for starting a business, and preferably in the form of a printable electronic document (e.g., a region designated by the founder) Location/rent/available acreage to be rented according to the budget set in , interior/equipment costs matching the type of business and available acreage, tax/legal service costs to support business start-ups, etc.)

- Estimates can be provided by extracting cost/price from tangible and intangible product information of several suppliers registered in the startup information DB (e.g., real estate brokerage fee, interior construction cost, equipment purchase price, tax accountant/legal attorney fee, etc.)

* Error detection module

- When the founder's terminal transmits product information to purchase directly, it compares it with the self-generated estimate and replies whether there is an error.

- When the founder sends product information to purchase directly, it matches the tangible and intangible product information registered in the startup information DB to generate a founder request quote, and then compares it with the automatically generated quote in advance and displays the error part so that you can visually check it. then passed on to the founder

- It can be provided in text form so that it is easy to check different error parts such as cost/price, period, and specification

* Product evaluation management module

- Function to receive evaluation information on products transacted after issuance of quotation through the founder's terminal

- Satisfaction with tangible and intangible products purchased by the founder is evaluated in numerical and text format, and after receiving it, the evaluation is shared between the founders and suppliers. Can be used as reference information

* Product composition update module

- In connection with the product evaluation management module, the product composition of the quotation sent to the founder's terminal is updated to reflect the evaluation information on the product

- If the product information registered in the startup information DB is deleted or changed according to the evaluation information of the specific product that the founder traded, the product composition reflected in the quotation also changes, so the quotation that is ultimately delivered to the founder also changes. If the evaluation information for the product is not good, the product is not applied to the quotation.

* Quotation data judgment module

- Functions to determine whether the received atypical product information, start-up support information, start-up preparation information, and founder information is appropriate as data for generating quotations

- As the information related to start-up is standardized, direct comparison is possible with the estimate creation data for creating an estimate, thereby judging whether it is appropriate.

- Considering that the quotation creation data can be the basis for automatic quotation creation, it accurately judges the suitability of business-related information.

* Estimation learning engine

- The quotation generated data judged to be suitable by the estimate data judgment module is used as data for machine learning

- Pre-processing estimate creation data into learning estimate data and evaluation estimate data, and generating a verified estimate through selection of evaluation variables and input variables for the pre-processed data

- As an example, the pre-processing process plays a role of normalizing the estimate generation data and creates and updates the learning data of the startup information DB, and the work process performs the learning/evaluation/prediction function, where the learning function is the evaluation variable and input for the data After selecting a variable, defining the properties of each variable, and defining the parameters, the optimal estimate that can be obtained is derived through data analysis by the learning technique. The evaluation function evaluates whether the estimate derived by data analysis is appropriate and the prediction function is a function to find a target variable through an input variable by data learning and data for evaluation can be added or updated)

- Through RNN (Recurrent Neural Networks), it is possible to infer the estimate to be generated by considering the input variables for the past and present preprocessing data (RNN is a type of artificial neural network model, As a neural network model that considers input, it is an algorithm suitable for time-series data learning. The existing general neural network model processes only one current input as an input, so it can be said that it is independent of the input order. It is suitable for inferring the propensity of the current estimate from the previous estimate because it shows a property dependent on the input order because it is considered together.)

* Supplier verification module

- Based on the business information registered by the supplier through the membership registration module, it is checked whether a business site exists in the relevant location through a search engine, or in connection with an external corporate information providing server that provides corporate information in the form of an open API. By providing the company information received from the terminal to the company information providing server in real time, the match can be checked

- For the reason that false business information of suppliers can be automatically identified, suppliers who enter incorrect information when signing up for membership are blocked in advance

3 is a view showing a use case of the AI-based founder/supplier matching and quotation verification system according to the present invention.

Referring to FIG. 3 , an example of application of the AI-based founder/supplier matching and quotation verification system according to the present invention will be described as follows.

1. From the supplier (manufacturer/importer/supplier) to the start-up management server as supplier information to price/function/spec/installation conditions (electricity, water supply and drainage, facilities)/usage/other compatibility/discount condition information/set purchase information/set configuration Enter product details such as logic

2. The founder enters detailed information on starting a business, such as the number of floor space/floor/ownership area/budget/necessary item list/age/concept/interior/construction/design, etc.

3. The start-up management server automatically provides quotations/purchase information/consulting guides necessary for start-up based on information obtained from suppliers and founders, and management/consulting related suppliers trade information delivery services with consumers (founders).

In the above description of the present invention with reference to the accompanying drawings, a specific shape and direction have been mainly described, but the present invention can be variously modified and changed by those skilled in the art, and such modifications and changes are included in the scope of the present invention. should be interpreted as

Claims (8)

a supplier terminal for transmitting product information to be transacted by industry and start-up support information for supporting the start-up of the corresponding industry;
a founder terminal for transmitting at least any one or more of start-up preparation information and age, gender, career, family relationship, academic background, and residence of at least any one or more of the founder information of at least one of business type, budget, and region for start-up;
Based on the product information and start-up support information transmitted by the supplier terminal and the start-up preparation information and founder information transmitted by the founder terminal, it is predicted that the supplier and the founder are required for starting a business or tangible and intangible products at the request of the founder terminal after matching the supplier and the founder. AI-based founder/supplier matching and quotation verification system, characterized in that it comprises;
The method according to claim 1,
The start-up management server is artificial intelligence-based founder/supplier matching and quotation verification, characterized in that it has an error determination module for replying whether or not there is an error by comparing it with the quotation generated by the entrepreneur terminal directly system.
The method according to claim 1,
The start-up management server is an artificial intelligence-based founder/supplier matching and quotation verification system, characterized in that it comprises a product evaluation management module for receiving a reply to the evaluation information on the traded product after issuing the quotation to the founder terminal.
4. The method according to claim 3,
The start-up management server is an artificial intelligence-based founder/supplier, characterized in that it includes a product configuration update module that updates the product configuration for the quote transmitted to the founder terminal in connection with the product evaluation management module by reflecting the evaluation information on the product Matching and quote verification system.
The method according to claim 1,
The start-up management server includes a quotation data determination module for judging whether the received product information, start-up support information, start-up preparation information, and founder information is appropriate as the estimate creation data by standardizing the received product information, start-up support information, artificial intelligence, characterized in that Based founder/supplier matching and quotation verification system.
6. The method of claim 5,
The start-up management server is an artificial intelligence-based founder/supplier matching and quotation verification system, characterized in that it includes a quotation learning engine that uses the quotation generation data determined to be suitable by the quotation data determination module as data for machine learning.
7. The method of claim 6,
The estimate learning engine pre-processes the estimate creation data into estimate data for learning and estimate data for evaluation, and generates a verified estimate through selection of evaluation variables and input variables for the pre-processed data. Supplier matching and quotation verification system.
8. The method of claim 7,
The estimate learning engine is an artificial intelligence-based founder/supplier matching and quotation verification system, characterized in that it infers an estimate to be generated in consideration of input variables for past and present preprocessing data through RNN (Recurrent Neural Networks).

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