KR102187797B1 - System for cousulting business management using artificial intelligence base big data - Google Patents

Abstract

According to the present invention, a business management consulting system using artificial intelligence based on big data includes: a business operator terminal receiving business information of a business operated by the business operator; a consultant terminal which receives consultant information of a consultant who conducts consulting on business management; and an operation server which calculates consulting suitability for each of the consultant information based on the business information, generates recommended consultant list information based on the consulting suitability, and if it is determined that the consulting between the operator and the consultant has been put through, generates consulting reference data based on the consulting execution result information corresponding to the business information among the consulting execution result information performed in the past, transmits the consulting reference data to the consultant terminal, and receives consulting performance information from the consultant terminal and transmits the consulting performance information to the business operator terminal.

Description

Business management consulting system using artificial intelligence based on big data {System for cousulting business management using artificial intelligence base big data}

The present invention relates to a business management consulting system using big data-based artificial intelligence, and more specifically, a big data-based artificial intelligence that can achieve consulting between a business operator and a consultant consulting for management based on consulting suitability. It relates to the business management consulting system used.

In general, companies can survive only if they constantly change according to the changing circumstances. In particular, with the advent of the global economy, there are numerous situations that affect the operation of companies, and there are countless companies that end up in crisis or go to bankruptcy if not actively responding to them. We are trying to innovate, and through these management innovations, we are seeking continuous development.

Accordingly, it is indispensable to advance the corporate structure and promote risk follow-up through consulting on the overall operation of the enterprise, and the importance of consulting methods and systems for the overall corporate operation is increasing.

In addition, the consulting methods and systems of these companies must be able to cope with numerous types of companies and many types of situations, and present solutions as well as analysis results by consulting, and the results and solutions must have objectivity and reliability.

On the other hand, small and medium-sized businesses and small and medium-sized businesses with small business are receiving consulting on business management from consultants with government and local government funds and institutional support. However, consulting performed with such public resources is not only performed for a limited period of time, so it is difficult to conduct in-depth consulting, and it is difficult to select a consultant suitable for business sales operated by SMEs and small and medium-sized businesses due to the limited pool of consultants There is this.

Korean Patent Publication No. 10-1772803

The present invention transmits business information of a business operator requesting consulting to a consultant terminal to provide it to the consultant, generates recommended consultant list information using one or more consultant information among the consultant information, and transfers the generated recommended consultant list information to the service provider terminal. It is to provide a business management consulting system using artificial intelligence based on big data that can succeed and perform consulting between the business operator and the consultant by transmitting and providing it to the business operator.

The objects of the present invention are not limited to the above-mentioned objects, and other objects and advantages of the present invention that are not mentioned can be understood by the following description, and will be more clearly understood by the embodiments of the present invention. In addition, it will be easily understood that the objects and advantages of the present invention can be realized by the means shown in the claims and combinations thereof.

A business management consulting system using artificial intelligence based on big data according to the present invention for solving the above technical problem comprises: a business operator terminal receiving business information of a business operated by the business operator; A consultant terminal receiving consultant information of a consultant performing consulting on business management; And calculating a consulting suitability for each of the consultant information based on the business information, generating recommended consultant list information based on the consulting suitability, and if it is determined that consulting between the business operator and the consultant has been successful, it is performed in the past. An operation server that generates consulting reference data based on consulting execution result information corresponding to the business information among the obtained consulting execution result information, and transmits it to the consultant terminal, receives consulting performance information from the consultant terminal, and transmits it to the operator terminal. Includes;

Preferably, the business information may include business identification information, business location information, business type information, and business size information.

Preferably, the operation server may generate consulting plan information including consulting period information and consulting execution cycle information in response to the business type information and the business size information.

Preferably, the consultant information may include consultant identification information, consulting location information, consulting industry information, consulting unit price information, and consulting history information.

Preferably, the operation server calculates a first detailed suitability by comparing the business location information and the consulting location information, and calculates a second detailed suitability based on whether the business type information is included in the consulting type information, and , By comparing the consulting business size information of the consulting history information and the business size information to calculate a third detailed suitability, and using at least one of the first detailed suitability, the second detailed suitability, and the third detailed suitability. Consulting suitability can be calculated.

Preferably, the operation server may generate the recommended consultant list information by including consultant information as many as a preset number in the order of the highest consulting suitability.

Preferably, when the operation server receives the first consulting request signal along with the consultant identification information from the operator terminal, it transmits a second consulting request signal along with the business information to the consultant terminal corresponding to the consultant identification information, and , When receiving a consulting acceptance signal from the consultant terminal in response to the second consulting request signal, it may be determined that consulting between the operator and the consultant has been successful.

Preferably, the consulting execution result information is information on the business operator identification of the consulted business operator, the consultant identification information of the consultant who performed the consulting, information on the business type of the consulted business, information on the period of consulting, information on the consulting performance cycle, information on consulting satisfaction, and consulting. It may include information on changes in the size of the project after completion.

Preferably, when it is determined that the consulting has been successful, the operation server may generate, among the consulting performance result information, only consulting execution result information identical to the business type information of the consulting in which the business type information has been completed, as consulting reference data.

Preferably, the operation server receives consulting satisfaction information from the operator terminal, calculates a satisfaction difference between the consulting satisfaction of the consulting satisfaction information and a preset standard satisfaction, and performs the consulting period information and consulting based on the satisfaction difference. One or more of the period information can be changed.

According to the present invention, business information of a business operator requesting consulting is transmitted to a consultant terminal and provided to the consultant, and recommended consultant list information is generated using at least one consultant information among the consultant information, and the generated recommended consultant list information is provided to the business operator. By transmitting to the terminal and providing it to the operator, it is possible to broker a consultant suitable for the operator.

1 is a diagram illustrating a business management consulting system using artificial intelligence based on big data according to the present invention.
2 is a diagram for explaining an example of a functional block diagram for describing an operator terminal according to the present invention.
3 is a diagram for explaining an example of a screen of an operator terminal according to the present invention.
4 is a diagram illustrating an example of a functional block diagram for describing a consultant terminal according to the present invention.
5 is a diagram illustrating an example of a screen of a consultant terminal according to the present invention.
6 is a view for explaining an example of a functional block diagram for explaining the operation server according to the present invention.
7 is a diagram for explaining an example of business information used by an operation server according to the present invention.
8 is a diagram for explaining an example of consultant information used by an operation server according to the present invention.
9 is a diagram illustrating an example of consulting execution result information used by an operation server according to the present invention.

Hereinafter, various embodiments of the present invention will be described with reference to the accompanying drawings. However, this is not intended to limit the present invention to a specific embodiment, it should be understood to include various modifications, equivalents, and/or alternatives of the embodiments of the present invention. In connection with the description of the drawings, similar reference numerals may be used for similar elements.

In this document, expressions such as "have", "may have", "include", or "may contain" are the presence of corresponding features (eg, elements such as numbers, functions, actions, or parts). And does not exclude the presence of additional features.

In this document, expressions such as "A or B", "at least one of A or/and B", or "one or more of A or/and B" may include all possible combinations of the items listed together. . For example, “A or B”, “at least one of A and B”, or “at least one of A or B” includes (1) at least one A, (2) at least one B, Or (3) it may refer to all cases including both at least one A and at least one B.

Expressions such as "first", "second", "first", or "second" used in this document can modify various elements regardless of their order and/or importance, and It is used to distinguish it from other components and does not limit the components. For example, a first user device and a second user device may represent different user devices regardless of order or importance. For example, without departing from the scope of the rights described in this document, a first component may be referred to as a second component, and similarly, a second component may be renamed to a first component.

Some component (eg, a first component) is "(functionally or communicatively) coupled with/to)" to another component (eg, a second component) or " When referred to as "connected to", it should be understood that the certain component may be directly connected to the other component or may be connected through another component (eg, a third component). On the other hand, when a component (eg, a first component) is referred to as being “directly connected” or “directly connected” to another component (eg, a second component), the component and the It may be understood that no other component (eg, a third component) exists between the different components.

The expression "configured to" used in this document is, for example, "suitable for", "having the capacity to" depending on the situation. )", "designed to", "adapted to", "made to", or "capable of" . The term "configured to (or set) to" may not necessarily mean only "specifically designed to" in hardware. Instead, in some situations, the expression "a device configured to" may mean that the device "can" along with other devices or parts. For example, the phrase “a control unit configured (or set) to perform A, B, and C” means a dedicated processor (eg, an embedded processor) for performing the corresponding operation, or by executing one or more software programs stored in the memory. , May mean a generic-purpose processor (eg, a CPU or an application processor) capable of performing corresponding operations.

The term “~ unit” used in the specification refers to a hardware component such as software, FPGA, or ASIC, and “~ unit” performs certain roles. However, "~ part" is not limited to software or hardware. The “~ unit” can be configured to be in an addressable storage medium. Thus, as an example, “~ unit” refers to components such as software components, object-oriented software components, class components, and task components, processors, functions, properties, and procedures. , Subroutines, segments of program code, drivers, firmware, microcode, circuitry, data, database, data structures, tables, arrays and variables. Components and functions provided within the “~ unit” may be combined into a smaller number of elements and “~ units” or further separated into additional components and “~ units”.

In particular, in the present specification, the "processor" may include one or more of a central processing unit (CPU), an application processor (AP), and a communication processor (CP).

In the present specification, a computer refers to all kinds of hardware devices including at least one processor, and may be understood as encompassing a software configuration operating in a corresponding hardware device according to embodiments. For example, the computer may be understood as including all of a smartphone, a tablet PC, a desktop, a laptop, and a user client and an application running on each device, but is not limited thereto.

The terms used in this document are only used to describe a specific embodiment, and may not be intended to limit the scope of other embodiments. Singular expressions may include plural expressions unless they have a clearly different meaning in the context. Terms used herein, including technical or scientific terms, may have the same meaning as commonly understood by one of ordinary skill in the technical field described in this document. Among the terms used in this document, terms defined in a general dictionary may be interpreted as having the same or similar meanings as those in the context of the related technology, and unless explicitly defined in this document, they may be interpreted in an ideal or excessively formal meaning. It is not interpreted. In some cases, even terms defined in this document cannot be interpreted to exclude embodiments of this document.

1 is a diagram for explaining a business management consulting system 10 using artificial intelligence based on big data according to the present invention.

Referring to FIG. 1, a business management consulting system 10 using big data based artificial intelligence may include a business operator terminal 100, a consultant terminal 200, and an operation server 300.

The business management consulting system 10 using big data-based artificial intelligence receives business information including business information from a business operator requesting consulting on business management from the business operator to the business terminal 100 and provides it to the consultant. , Consultant information including information on consulting that the consultant can perform and the consulting performed may be input from the consultant to the consultant terminal 200, and only some of the consultant information may be generated as recommended consultant list information and provided to the business operator.

Through this, the business management consulting system 10 using big data-based artificial intelligence may match a consultant suitable for a business operated by the business operator with the business operator to succeed in consulting.

To this end, the operator terminal 100 may receive business information from the operator and transmit the input business information to the operation server 300. Meanwhile, the consultant terminal 200 may receive consultant information from the consultant and transmit the input consultant information to the operation server 300.

The operator terminal 100 is an electronic device operated by the operator, and may receive a control command from the operator and output information in response to the control command.

For example, the operator terminal 100 may be any one of a tablet, a smart phone, a notebook, a wearable device, and a PDA.

Here, the business operator may be a representative of a small and medium-sized business or a small and medium-sized business person, and may be a manager who wants to receive consulting from a consultant on the management of the business he runs.

Meanwhile, the consultant terminal 200 is an electronic device operated by the consultant, and may receive a control command from an operator and output information in response to the control command.

For example, the consultant terminal 200 may be any one of a tablet, a smart phone, a notebook, a wearable device, and a PDA.

Here, the consultant may be an expert who diagnoses and consults on business expansion and management management to a business operator operating a business of a specific business type.

The operation server 300 may select one or more recommended consultant information from among consultant information received from a plurality of consultant terminals 200 based on the business information, and generate recommended consultant list information using the selected recommended consultant information. The operation server 300 may transmit recommended consultant list information to the operator terminal 100.

The operator terminal 100 may receive and display the recommended consultant list information, and may select any one of the recommended consultant information included in the recommended consultant list information from the operator.

Thereafter, the operator terminal 100 may transmit a first consulting request signal to the operation server 300 together with the consultant identification information of the recommended consultant information selected and input from the operator and the operator identification code of the operator.

When the first consulting request signal is received, the operation server 300 may transmit a second consulting request signal to the consultant terminal 200 of the consultant corresponding to the consultant identification information received together with the first consulting request signal. In this case, the operation server 300 may transmit business information corresponding to the operator identification code received together with the first consulting request signal to the consultant terminal 200 together with the second consulting request signal.

When the second consulting request signal is received, the consultant terminal 200 displays the received business information together with the second consulting request signal, receives consulting acceptance information, and the input consulting acceptance information indicates consulting acceptance. The acceptance signal may be transmitted to the operation server 300.

Thereafter, the operation server 300 may generate consulting reference data based on consulting execution result information corresponding to the business information among consulting execution result information performed in the past. The operation server 300 may transmit consulting reference material to the consultant terminal.

The consultant terminal 200 may provide consulting reference material to the consultant by receiving and displaying the consulting reference material. In addition, the consultant terminal 200 may receive consulting performance information from the consultant and transmit it to the operation server 300.

The operation server 300 transmits the received consulting performance information to the operator terminal 100, and the operator terminal 100 receives and displays the consulting performance information, thereby providing consulting performance information to the operator.

2 is a view for explaining an example of a functional block diagram for explaining the operator terminal 100 according to the present invention, Figure 3 is a diagram for explaining an example of a screen of the operator terminal 100 according to the present invention It is a drawing.

With further reference to FIGS. 2 and 3, the operator terminal 100 may include an input unit 110, a communication unit 120, a display unit 130, a processor 140, and a storage unit 150.

The input unit 110 may receive a variety of information from a business operator through a touch screen combined with the display unit 130. Specifically, the input unit 110 may receive business information on a business operated by a business operator.

Here, the business information may include business identification information, business location information, business type information, and business size information. Specifically, the business size information may be one or more of sales information and asset information of a business operated by a business operator.

In addition, the input unit 110 may receive a selection input from the operator of any one of recommended consultant information of the recommended consultant list information displayed on the display unit 130.

In addition, after the consulting is completed, the input unit 110 may receive consulting satisfaction information for the completed consulting from a business operator.

The communication unit 120 may be connected to a communication network and communicate with the operation server 300 using universal communication. To this end, the communication unit 120 may include a general-purpose communication module that performs general-purpose communication. Here, the general-purpose communication is communication using an Internet network or a cellular communication protocol, for example, at least one of LTE, LTE-A, CDMA, WCDMA, UMTS, WiBro, and GSM.

Specifically, the communication unit 120 may transmit business information input to the input unit 110 to the operation server 300.

In addition, when the recommended consultant information is selected and input from the operator through the input unit 110, the communication unit 120 may transmit the first consulting request signal to the operation server 300 together with the consultant identification information of the selected recommended consultant information. have. In this case, the communication unit 120 may further transmit operator identification information together with the first consulting request signal.

In addition, the communication unit 120 may transmit the consulting satisfaction information input to the input unit 110 from the operator to the operation server 300.

Meanwhile, the communication unit 120 may receive information on a list of recommended consultants including information on a plurality of recommended consultants from the operation server 300.

In addition, the communication unit 120 may receive a consulting completion notification signal indicating that the consulting is successful from the operation server 300.

Finally, the communication unit 120 may receive consulting performance information input to the consultant terminal 200 and received by the operation server 300.

As shown in FIG. 3, the display unit 130 may display the recommended consultant list information received by the communication unit 120 on the screen. The display unit 130 may display recommended consultant information included in the recommended consultant list information according to a preset display order.

For example, the display unit 130 may display recommended consultant information in the order of consulting suitability or consulting cost information in the order of increasing.

Meanwhile, the display unit 130 displays consultant identification information, consulting location information, consulting industry type information, consulting unit price information, and consulting history information included in each of the recommended consultant information in the first to fifth display areas D1 to D5, respectively. I can.

The display unit 130 may be combined with the input unit 110 to receive selection and input of any one of recommended consultant information included in the recommended consultant list information from a business operator.

The display unit 130 may display consulting performance information received by the communication unit 120 and provide it to a business operator.

The processor 140 may control operations of the input unit 110, the communication unit 120, the display unit 130, and the storage unit 150.

The processor 140 includes one or more cores (not shown), a graphic processing unit (not shown), and/or a connection path (eg, a bus) for transmitting and receiving signals with other components. I can.

The processor 140 according to an embodiment may be configured to perform the above-described operation of the operator terminal 100 by executing one or more instructions stored in the storage unit 150.

The storage unit 150 may store programs (one or more instructions) for processing and controlling the processor 140. Programs stored in the storage unit 150 may be divided into a plurality of modules according to functions.

4 is a diagram for explaining an example of a functional block diagram for describing the consultant terminal 200 according to the present invention, and FIG. 5 is a diagram for explaining an example of a screen of the consultant terminal 200 according to the present invention It is a drawing.

With further reference to FIGS. 4 and 5, the consultant terminal 200 may include an input unit 210, a communication unit 220, a display unit 230, a processor 240, and a storage unit 250.

The input unit 210 may receive various information from a consultant through a touch screen coupled with the display unit 230. Specifically, the input unit 210 may receive consultant information including information on consulting that the consultant has performed or can perform.

Here, the consultant information may include consultant identification information, consulting location information, consulting industry information, consulting unit price information, and consulting history information. Specifically, the consulting history information is information including information on the consulting performed by the consultant, and identification information of the business operator who received each consulting performed, business type information of the business operator consulted by the consultant, and information on the duration of consulting , Consulting execution cycle information, consulting satisfaction information, and information on changes in business size after consulting is completed.

In addition, the input unit 210 may receive information on whether to accept consulting for business information of a business operator who has requested consulting from a consultant. For example, the information on whether to accept the consulting may be either accepted or not accepted.

In addition, the input unit 210 may receive consulting performance information from a consultant to perform successful consulting. Here, the consulting performance information may be information including details of consulting provided by a consultant to a business operator in the process of performing the successful consulting. The type and content of the consulting performance information may differ according to the business type to be consulted.

The communication unit 220 may be connected to a communication network and communicate with the operation server 300 using universal communication. To this end, the communication unit 220 may include a general-purpose communication module that performs general-purpose communication. Here, the general-purpose communication is communication using an Internet network or a cellular communication protocol, for example, at least one of LTE, LTE-A, CDMA, WCDMA, UMTS, WiBro, and GSM.

Specifically, the communication unit 220 may transmit the consultant information input to the input unit 210 to the operation server 300.

In addition, the communication unit 220 may transmit a consulting acceptance signal to the operation server 300 when consulting acceptance information indicating acceptance is input from the consultant through the input unit 210. In this case, the communication unit 220 may transmit the operator identification information of the operator requesting consulting and the consultant identification information of the consultant to the operation server 300 together with the consulting acceptance signal. Here, the operator identification information transmitted to the operation server 300 together with the consulting acceptance signal may be operator identification information of the business information received together with the second consulting request signal from the operation server 300.

Meanwhile, the communication unit 220 may transmit the consulting performance information input to the input unit 210 to the operation server 300.

The communication unit 220 may receive a second consulting request signal for requesting consulting from the operation server 300. As described above, the communication unit 220 may receive business information on a business run by a business operator requesting consulting from a consultant from the operation server 300 together with a second consulting request signal. In addition, the communication unit 220 may receive consulting plan information from the operation server 300 together with the second consulting request signal.

After the consulting is completed, the communication unit 220 may receive consulting reference material that the consultant can refer to to perform consulting from the operation server 300.

As illustrated in FIG. 5, the display unit 230 may display business information and consulting plan information received from the communication unit 220 on a screen. That is, the display unit 230 may display business information, which is information on a business run by a business operator who has requested consulting from a consultant, and consulting plan information indicating a plan of consulting to be performed when the consulting is successful.

For example, the display unit 230 may display business identification information, business location location information, business type information, and business size information included in the business information in the sixth to ninth display areas D6 to D9, respectively. Also, the display unit 230 may display consulting plan information on the tenth display area D10.

The processor 240 may control the operation of the input unit 210, the communication unit 220, the display unit 230, and the storage unit 250.

The processor 240 includes one or more cores (not shown), a graphic processing unit (not shown), and/or a connection path (eg, a bus) for transmitting and receiving signals with other components. I can.

The processor 240 according to an embodiment may be configured to perform the above-described operation of the consultant terminal 200 by executing one or more instructions stored in the storage unit 250.

The storage unit 250 may store programs (one or more instructions) for processing and controlling the processor 240. Programs stored in the storage unit 250 may be divided into a plurality of modules according to functions.

6 is a view for explaining an example of a functional block diagram for explaining the operation server 300 according to the present invention, Figure 7 is a diagram illustrating an example of business information used by the operation server 300 according to the present invention 8 is a diagram for explaining an example of consultant information used by the operation server 300 according to the present invention, and FIG. 9 is a view of the result information of consulting performance used by the operation server 300 according to the present invention. It is a drawing to explain an example,

6 to 9, the operation server 300 may include a communication unit 310, a processor 320, and a storage unit 330.

The communication unit 310 may be connected to a communication network and receive business information from the operator terminal 100 through universal communication. Also, the communication unit 310 may receive consultant information from the consultant terminal 200.

At this time, the communication unit 310 may receive consultant information from the plurality of consultant terminals 200 in advance, and the storage unit 330 may store a plurality of previously received consultant information.

On the contrary, the communication unit 310 may receive business information from the operator terminal 100 only when the operator requests consulting.

The communication unit 310 transmits the recommended consultant list information generated by the processor 320 to the operator terminal 100, and the first consulting request signal from the operator terminal 100 along with the business identification information and the operator Consultant identification information of the consultant selected from may be received.

Thereafter, the communication unit 310 requests a second consulting request for business information corresponding to the operator identification information received together with the first consulting request signal to the consultant terminal 200 corresponding to the consultant identification information received with the first consulting request signal. It may be transmitted to the consultant terminal 200 together with the signal. In this case, the communication unit 310 may transmit the consulting plan information generated by the processor 320 together with the second consulting request signal to the consultant terminal 200.

The communication unit 310 may receive a consulting acceptance signal from the consultant terminal 200 in response to the second consulting request signal.

Thereafter, the communication unit 310 may transmit the consulting reference material generated by the processor 320 to the consultant terminal 200 when it is determined by the processor 320 that the consulting has been successful.

In addition, the communication unit 310 may transmit a consulting success notification signal to the operator terminal 100 and the consultant terminal 200 when it is determined by the processor 320 that the consulting has been successful.

The communication unit 310 receives consulting performance information input from the consultant to the consultant terminal 200 from the consultant terminal 200 while consulting is being performed, and transmits the received consulting performance information to the operator terminal 100 to consult the operator. Performance information can be provided.

After the consulting is finished, the communication unit 310 may receive consulting satisfaction information input from the operator in the operator terminal 100 from the operator terminal 100.

The processor 320 may calculate a consulting suitability for each of the consultant information based on the business information, and generate recommended consultant list information based on the consulting suitability. That is, the processor 320 compares the business information of the business operated by the business operator requesting the consulting with a plurality of consultants information previously stored in the storage unit 330, and determines the consultant information most suitable for the business among the plurality of consultant information based on the consulting suitability. Thus, it is possible to select information as recommended consultant information, and generate recommended consultant list information including the selected recommended consultant information.

Specifically, the processor 320 compares the business location information and the consulting location information to calculate a first detailed suitability, and calculates a second detailed suitability based on whether the business type information is included in the consulting industry type information. And, by comparing the consulting business size information of the consulting history information and the business size information, a third detailed suitability is calculated, and at least one of the first detailed suitability, the second detailed suitability, and the third detailed suitability is used. The consulting suitability can be calculated.

More specifically, the processor 320 may calculate a separation distance between the business site location of the business location information and the consulting location of the consulting location information, and calculate a first detailed suitability in inverse proportion to the separation distance. For example, the processor 320 may calculate the first detailed suitability so that the first detailed suitability becomes maximum as the separation distance decreases.

When the business type information is the same as any one of the business types included in the consulting business type information, the processor 320 calculates a second detailed suitability so that the second detailed suitability is maximum, and the business type information is the consulting type information If it is not the same as all of the industries included in, the second detailed suitability may be calculated so that the second detailed suitability is minimized.

The processor 320 may convert business size information included in the business information into a first scale scale, and convert consulting project scale information included in each consulting history information of the consultant information into a second scale scale, respectively.

For example, the processor 320 converts the sales information included in the business size information into 1 point per 100 million annual sales, and converts the asset information included in the business size information into 2 points per 100 million to calculate the first scale. can do. The processor 320 may convert the sales information included in the consulting business size into 1 point per 100 million annual sales, and convert the asset information included in the consulting business size into 2 points per 100 million to calculate the second scale. . Finally, the processor 320 may calculate the third detailed suitability based on the difference in scale between the average of the first scale and the second scale. In this case, the processor 320 may calculate the third detailed suitability so that the smaller the difference in scale is, the maximum is the third detailed suitability.

The processor 320 may calculate the first to third detailed suitability by performing the above process, and calculate the consulting suitability for each consultant information by summing the first to third detailed suitability.

The processor 320 may select a preset number of consultant information as recommended consultant information in the order of great consulting suitability and include it in the consultant list information.

The processor 320 according to another embodiment may select recommended consultant information from among a plurality of consultant information based on a consulting suitability. Specifically, the processor 320 may select consultant information whose consulting suitability exceeds a preset reference suitability as recommended consultant information.

Meanwhile, the processor 320 may generate consulting plan information including consulting period information and consulting execution cycle information in response to the business type information and the business size information included in the business information.

Specifically, the processor 320 checks basic consulting period information and basic consulting execution cycle information of a business type included in the business information based on a reference table in which basic consulting period information and basic consulting execution cycle information are set for each business type, Consulting period information can be set by applying a period correction factor according to the business size information to the checked basic consulting period information, and the confirmed basic consulting execution cycle information can be set as the consulting execution cycle information.

Here, the period correction coefficient may be a correction coefficient that extends basic consulting period information as the project size increases.

That is, the processor 320 sets the consulting period information so that the consulting period increases as the business size of the business to be consulted is increased, and provides basic consulting execution cycle information according to the business type so that the consulting is performed in a consulting execution cycle in contact with the business type. It can be set as consulting execution cycle information.

On the other hand, the processor 320 calculates consulting cost information based on the consulting period information of the consulting plan information and the consulting unit price information included in each of the consultant information, and matches the consulting cost information with each of the recommended consultant information to generate recommended consultant list information. Can be generated.

For example, if the consulting unit price information of the selected recommended consultant information is “100,000 won/month” and the set consulting period information is “3 months”, the processor 320 may calculate the consulting cost information as “300,000 won”. have.

On the other hand, the processor 320, after the communication unit 310 receives the first consulting request signal from the operator terminal 100 and transmits a second consulting request signal to the consultant terminal 200, consulting from the consultant terminal 200 When an acceptance signal is received, it can be determined that consulting has been completed between the operator and the consultant.

Thereafter, the processor 320 may generate consulting reference data based on consulting execution result information corresponding to the business information among consulting execution result information performed in the past. Specifically, if it is determined that the consulting has been successful, the processor 320 may generate, among the consulting execution result information, only the consulting execution result information identical to the consulting business type information of the consulting in which the business type information was successful, as consulting reference data.

That is, the processor 320 may generate consulting reference material that the consultant can refer to in the process of performing the consulting using artificial intelligence based on big data.

On the other hand, the processor 320 receives consulting satisfaction information from the operator terminal, calculates a satisfaction difference between the consulting satisfaction of the consulting satisfaction information and a preset standard satisfaction, and performs the consulting period information and consulting based on the satisfaction difference. One or more of the period information can be changed.

Specifically, the processor 320 may extend the consulting period information and increase the execution period information as the satisfaction difference between the predetermined reference level is smaller than the consulting satisfaction level.

Through this, if the consulting satisfaction of the business operator is low, the processor 320 may increase consulting satisfaction by performing consulting more often and performing longer.

The processor 320 may include one or more cores (not shown) and a graphic processing unit (not shown) and/or a connection path (eg, a bus) for transmitting and receiving signals with other components. I can.

The processor 320 according to an embodiment may be configured to perform the above-described operation of the operation server 300 by executing one or more instructions stored in the storage unit 330.

The storage unit 330 may store programs (one or more instructions) for processing and controlling the processor 320. Programs stored in the storage unit 330 may be divided into a plurality of modules according to functions.

Meanwhile, the storage unit 330 may convert business information, consultant information, and consulting execution result information received from the communication unit 310 into a database and store it.

Specifically, as illustrated in FIG. 7, the storage unit 330 may convert and store business information including business identification information, business location information, business type information, and business size information into a database.

In addition, as shown in FIG. 8, the storage unit 330 may convert and store consultant information including consultant identification information, consulting location information, consulting industry information, consulting unit price information, and consulting history information into a database.

In addition, the storage unit 330, as shown in Figure 9, the operator identification information of the consulted business operator, consultant identification information of the consultant who performed the consulting, business type information of the consulted business operator, information of the consulting execution period, consulting execution cycle Consulting performance result information including information, consulting satisfaction information, and business size change information after consulting can be converted into a database and stored.

On the other hand, the operation server 300 according to another embodiment, when receiving a professional consultation request signal together with the specialized field information from the operator terminal 100, the first qualification expert information corresponding to the specialized field information among a plurality of qualification expert information. It may be selected as qualification expert information, and may be selected as second qualification expert information including location information of a location close to the location of the business location of the above-described business location information among the first qualification expert information.

Thereafter, the operation server 300 transmits the second qualification expert information to the operator terminal 100 and provides it to the operator, so that the consultation on the specialized field is completed.

Here, the qualification expert is an expert who has a professional license, and may be, for example, any one of a lawyer, a patent attorney, a company, a tax accountant, and a legal counsel.

On the other hand, the operation server 300 according to another embodiment, when the management inquiry request signal from the operator terminal 100 is received together with the management inquiry information and business type information, including the same business type information as the received business type information Management inquiry information can be transmitted to the terminal of another business operator that has entered the business information.

Thereafter, when the management response information corresponding to the management inquiry information is received from another provider terminal, the management server 300 may transmit management response information to the provider terminal 100 that has transmitted the management inquiry request signal.

Through this, the operation server 300 may transmit questions and answers about business management between operators of the same business type.

So far, we have looked at the center of the preferred embodiment for the present invention. Those of ordinary skill in the art to which the present invention pertains will understand that the present invention can be implemented in a modified form without departing from the essential characteristics of the present invention. Therefore, the disclosed embodiments should be considered from an illustrative point of view rather than a limiting point of view. The scope of the present invention is shown in the claims rather than the above description, and all differences within the scope equivalent thereto should be interpreted as being included in the present invention.

As described above, although the present invention has been described by the limited embodiments and drawings, the present invention is not limited thereto, and the technical idea of the present invention and the following by those of ordinary skill in the art to which the present invention pertains. It goes without saying that various modifications and variations are possible within the equivalent range of the claims to be described.

10: Business management consulting system using artificial intelligence based on big data
100: operator terminal
200: consultant terminal
300: production server

Claims (7)

A business operator terminal receiving business information of a business operated by the business operator;
A consultant terminal receiving consultant information of a consultant performing consulting on business management; And
Based on the business information, consulting suitability is calculated for each of the consultant information, and recommended consultant list information is generated based on the consulting suitability, and if it is determined that consulting between the business operator and the consultant has been successful, An operation server for generating consulting reference material based on consulting execution result information corresponding to the business information among consulting execution result information, and transmitting the consulting reference data to the consultant terminal, receiving consulting performance information from the consultant terminal, and transmitting it to the operator terminal; Including,
The above business information is
Includes business identification information, business location information, business type information, and business size information,
The operation server
In response to the business type information and the business size information, consulting plan information including consulting period information and consulting execution cycle information is generated,
Based on the reference table in which basic consulting period information and basic consulting execution cycle information are set for each business type, basic consulting period information and basic consulting execution cycle information of the business industry information included in the business information are checked, and according to the business size information. A processor for setting the consulting period information by applying a period correction coefficient to the checked basic consulting period information, and setting the checked basic consulting execution cycle information as consulting execution cycle information,
The period correction factor is
It is a correction factor that extends the basic consulting period information as the business size indicated by the business size information increases,
The operation server
Receive consulting satisfaction information from the operator terminal, calculate a satisfaction difference between the consulting satisfaction of the consulting satisfaction information and a preset standard satisfaction, and change at least one of the consulting period information and the consulting execution cycle information based on the satisfaction difference and,
The processor is
A business management consulting system using big data based artificial intelligence, characterized in that as the difference in satisfaction level increases, the consulting period information is extended and the consulting execution period information is increased.
delete The method of claim 1,
The above consultant information is
Includes consultant identification information, consulting location information, consulting industry information, consulting unit price information, and consulting history information,
The operation server
A first detailed suitability is calculated by comparing the business location information and the consulting location information, and a second detailed suitability is calculated based on whether the business type information is included in the consulting type information, and the consulting history information is consulted. A third detailed suitability is calculated by comparing the project size information and the project size information, and the consulting suitability is calculated using one or more of the first detailed suitability, the second detailed suitability, and the third detailed suitability. Business management consulting system using artificial intelligence based on big data.
The method of claim 3,
The operation server
A business management consulting system using artificial intelligence based on big data, characterized in that for generating by including information on a predetermined number of consultants in the recommended consultant list information in the order of the highest consulting suitability.
The method of claim 3,
The operation server
When a first consulting request signal along with the consultant identification information is received from the operator terminal, a second consulting request signal is transmitted along with the business information to the consultant terminal corresponding to the consultant identification information, and the second consulting request signal In response to receiving a consulting acceptance signal from the consultant terminal, business management consulting system using big data based artificial intelligence, characterized in that it is determined that the consulting between the operator and the consultant has been successful.
The method of claim 5,
The above consulting result information is
It includes the business identification information of the consulted business operator, the consultant’s identification information of the consultant who performed the consulting, the business type information of the business business that has been consulted, information on the period of consulting execution, information on the consulting performance cycle, information on the satisfaction level of consulting, and information on the change in business size after the end of the consulting ,
The operation server
When it is determined that the consulting has been successful, only the consulting execution result information identical to the business type information of the consulting in which the business type information was successful is generated as consulting reference data among the consulting execution result information. Business management consulting system.
delete

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