JP6918328B2 - Information input device and matching system - Google Patents

Description

The present invention relates to an information input device and a matching system, and more particularly to an information input device capable of enhancing the reliability of input information, and a matching system including the information input device as a component.

The management of a company, etc. may seek acquisition of another company, tie-up with another company, business transfer, company transfer, etc. for the purpose of promoting business development or solving problems such as the absence of a successor. be. In such activities generally called M & A (Mergers and Acquisitions), for example, the conditions on the seller side and the conditions on the buyer side are accumulated in a system built on the cloud and presented by the seller side and the buyer side. There are so-called matching sites (called M & A platforms, etc.) that provide matching services based on conditions.

However, the reality is that most matching sites only post information to supplement the matching by the publisher. At this time, matching will be introduced and mediated by a method based on the experience and intuition of the person in charge employed by the site operator, etc., and for users who wish to match, it will take a long time to complete the matching. It will take time and money.

Further, on the matching site, the user registers the information by himself / herself and presents the desired conditions as a seller or a buyer, but the desired transfer price is often too high especially for the desired conditions of the seller. That is, the seller has few opportunities to receive advice on the objective value of the transfer target, and the desired price offered by the seller is often a selfish and unconvincing price. In such a case, it is practically difficult to reach a contract even if the information presented by the seller is posted on the matching site.

By the way, regarding this matching service, for example, based on the company information of the selling company and the desired conditions regarding the M & A of the buying company, a score which is an index showing the suitability of the selling company and the buying company regarding the M & A is calculated. There is known an M & A candidate display method in which matching results are obtained by arranging selling companies in descending order of score with the desired conditions of the buying company, and the matching results are shown to the buying company. (Patent Document 1)

According to Patent Document 1, when calculating the score, regarding the individual conditions indicated by the numerical range in the desired conditions, even if the numerical value corresponding to the numerical range is not included in the numerical range. By calculating the degree of matching based on the distance between the numerical range and the numerical value, it is said that it is possible to provide an apparatus and a method for realizing an M & A matching service capable of performing matching more efficiently.

Further, although the matching service related to M & A is not directly mentioned, a network navigation agent system that matches a customer and a website operator on a computer network is known.

In the network navigation agent system, the voice recognition unit outputs text data based on the user's voice input from the voice input unit. Based on this text data, the sentence comprehension department interprets the meaning and narrows down the categories of the website. If necessary, the utterance sentence generation unit further generates sentences such as questions for narrowing down the categories, and outputs them from the voice output unit. The user's response to this question or the like is input again from the voice input unit. Input from the key input section is also used as an auxiliary. The site determination unit refers to the site attribute data and the customer attribute data to determine the access destination site that belongs to the narrowed down category and is suitable for the user. (Patent Document 2)

According to Patent Document 2, it is possible to provide a network navigation agent system that matches a customer and a website operator on a computer network without requiring a complicated operation by a user.

Japanese Unexamined Patent Publication No. 2017-079885 Japanese Unexamined Patent Publication No. 2002-007459

However, the technique described in Patent Document 1 provides a scoring means based on the company information of the selling company input to the system (matching system) that provides the matching service and the desired conditions regarding the M & A of the buying company. It is said that the score, which is an index showing the suitability of the selling company and the buying company regarding M & A, is calculated, but the calculation of the score is accurate in the company information of the selling company and the desired conditions regarding the M & A of the buying company. That (reliability is ensured) is a prerequisite.

As a matter of fact, aside from the case where both the seller and the buyer have a financial department with sufficient practical ability in the organization, for example, a small and medium-sized enterprise with an annual sales of 300 million yen or less does not have an independent financial department. There are also many enterprises (many of which are undertaken by the planning and accounting departments as alternatives to financial operations). It is undeniable that such corporate bodies have low financial literacy, and often lack the practical ability to carry out M & A. For example, it is undeniable that the person in charge does not fully understand the meaning of specific information in the seller's corporate information, and the accuracy (reliability) of the information input to the matching system deteriorates. Unreliable information-based matching inevitably creates a perception gap between sellers and buyers. That is, the technique described in Patent Document 1 does not suggest any specific means for improving the reliability of information that is the basis of matching, and as a result, it is not suitable from the viewpoint of ensuring reliability. It is sufficient, and it is considered difficult to smoothly proceed with M & A by the matching system.

In addition, the technology described in Patent Document 2 is an access destination site suitable for the user by the voice recognition unit, the document understanding unit, and the utterance sentence generation unit when matching the customer and the website operator on the computer network. However, in Patent Document 2, the access destination site where it is considered that the information desired by the customer can be obtained by the communication between the system and the customer by voice is merely determined. , It is not considered whether the information provided by the customer is accurate.

The present invention has been devised to solve such problems of the prior art, has interactiveness and real-time property with the user, and has reliability of information provided (input, etc.) by the user. Based on the information input device that can improve the reliability and the information whose reliability has been improved by this information input device, acquisition of other companies, tie-ups with other companies, business transfer, company transfer, etc. (Sometimes referred to as "corporate acquisition, etc."), the purpose is to provide a matching system capable of matching between a plurality of users (for example, a seller and a buyer).

The present invention, which has been made to solve the above problems, communicates with a first information terminal used by the first user, and is provided by the first user from the first information terminal. An information input device that captures the first predetermined information, and the information input device is connected to the first information terminal when the first predetermined information is fetched from the first information terminal. The information input device is provided with a reliability improving unit that performs interactive and real-time communication with the user to enhance the reliability of the first predetermined information provided by the first user.

This makes it possible to eliminate errors and uncertain information from the information provided by the user and improve the reliability of the information.

Further, in the present invention, the information input device uses a chatbot to communicate with the first user via the first information terminal at least by voice or text. Is.

As a result, it is possible to input information that matches the user's psychology without imposing a psychological burden on the user, and it is possible for the user to organize the information without stress. Further, the user can easily input information to the information input device via the chatbot.

Further, the present invention is a matching system including the information input device, and the information input device communicates with a second information terminal used by a second user to perform the second information input device. When the second predetermined information provided by the second user is taken in from the information terminal and the reliability improving unit of the information input device takes in the second predetermined information from the second information terminal. In addition, interactive and real-time communication is performed with the second information terminal to enhance the reliability of the second predetermined information provided by the second user, and the reliability improving unit enhances the reliability of the second predetermined information. The matching system is characterized in that a matching process is performed based on the first predetermined information and the second predetermined information for which reliability has been improved.

As a result, matching between users is achieved based on highly reliable information, which makes it possible to greatly improve the validity of matching results, and many people who are thinking about corporate acquisitions can do business with peace of mind. You will be able to touch the baton.

Further, in the present invention, the information input device uses a chatbot to communicate with the second user via the second information terminal.

This reduces the psychological burden on the user, enables information input that matches the user's psychology, and enables the user to organize information without stress. Further, the user can easily input information to the information input device via the chatbot.

Further, in the present invention, the reliability improving unit cooperates with the chatbot to support SWOT analysis in the first user or the second user.

As a result, the user can easily and easily perform the SWOT analysis, which is generally considered to have a high degree of difficulty in analyzing himself / herself in detail.

Further, in the present invention, the information input device cooperates with the reliability improving unit and the chatbot to eliminate a numerical contradiction in the information provided by the first user. Is.

This makes it possible to eliminate errors from the information provided by the user and improve the reliability of the information.

Further, according to the present invention, the information input device cooperates with the reliability improving unit and the chatbot to improve the reliability of financial numerical values in the information provided by the first user. It is the one that was made.

This makes it possible to eliminate financial errors and uncertain information from the information provided by the user and improve the reliability of the information.

Further, the present invention includes a matching processing unit that executes the matching processing, and when the first user is a seller and the second user is a buyer, the matching processing unit is a company by the buyer. When the buyer learns information about multiple sellers whose acquisitions have actually been completed and considers a new acquisition of a company, new seller candidates are extracted based on the learning results and presented to the buyers. It is a thing.

As a result, recommendations based on qualitative information such as people, business partners, and technologies used for learning and the contents of SWOT analysis can be made, and the efficiency of matching between buyers and sellers can be greatly improved.

Further, the present invention includes a matching processing unit that executes the matching processing, and when the first user is a seller and the second user is a buyer, the matching processing unit is a company by the buyer. Based on the learning results when another buyer who learns information about multiple sellers who have actually made an acquisition, etc., and provides information that is different from the buyer and similar to the information about the buyer, considers a company acquisition, etc. New seller candidates are extracted and presented to the other buyers.

As a result, recommendations based on qualitative information such as people, business partners, and technologies used for learning and the contents of SWOT analysis can be made, and the efficiency of matching between buyers and sellers can be greatly improved.

As described above, according to the present invention, it is possible to eliminate errors and uncertain information from the information provided by the user, increase the reliability of the information, and the user is based on the enhanced reliability information. Matching between them will be achieved, and the validity of the matching result can be greatly improved. Furthermore, by making recommendations based on qualitative information such as people, business partners, and technologies used for learning and the contents of SWOT analysis, it is possible to greatly improve the efficiency of matching.

A functional block diagram showing an outline of the matching system S1 according to the embodiment of the present invention. A block diagram showing the configuration of the server 4 in the matching system S1 according to the embodiment of the present invention.

Hereinafter, embodiments of the present invention will be described with reference to the drawings. FIG. 1 is a functional block diagram showing an outline of the matching system S1 according to the embodiment of the present invention. The matching system S1 is composed of a first information terminal 1, a second information terminal 2, a third information terminal 3, and a server 4. In FIG. 1, the solid line shows the flow of data, the broken line shows the flow of human information, and the alternate long and short dash line shows the flow of money (compensation 45).

The first information terminal 1 and the second information terminal 2 are devices such as mobile phones, smartphones, tablet terminals, personal computers, so-called AI speakers, and use at least one content of voice, text, and image. Information is exchanged interactively with the person who uses the device. Here, the first information terminal 1 is used by the first user 21a (here, the seller), and the second information terminal 2 is used by the second user 21b (here, the buyer). When the first user 21a and the second user 21b are not distinguished in the following description, they are simply referred to as "user 21". The first information terminal 1 and the second information terminal 2 are provided with an interface (for example, a display device or a speaker (not shown)) in which the user 21 inputs information and further presents / provides the information to the user 21. ing.

The third information terminal 3 is also composed of the same equipment as the first information terminal 1 or the second information terminal 2, and the third user 23 (here, an intermediary, even if it is an operator of a matching site). Good.) Use.

The server 4 includes an information input unit 4a and a matching processing unit 4b. Hereinafter, the information input unit 4a will be described first. The information input unit 4a includes a first chatbot 31a and a second chatbot 31b as robots that interact with the user 21, and a reliability improving unit 4e. The first chatbot 31a exchanges (transmits and receives) information bidirectionally (interactively) and in real time with the first information terminal 1, so that the first user can use the first information terminal 1 via the first information terminal 1. Establish communication with 21a. In addition, the second chatbot 31b exchanges (transmits and receives) information in both directions and in real time with the second information terminal 2, so that the second user 21b passes through the second information terminal 2. Establish communication with.

The term "real time" here does not mean a true immediate response. As a practical matter, the response time (response time) of the server 4 changes according to the processing capacity of the server 4, the load of the task / process to be processed, and the like. Therefore, here, if the chatbot 31 responds to the user 21 at least within the range of the response time in which communication with the user 21 can be continued, it is assumed that the chatbot 31 is communicating in "real time".

Further, when the first chatbot 31a and the second chatbot 31b are not distinguished in the following description, they are simply referred to as "chatbot 31". Further, in FIG. 1, for convenience, the first chatbot 31a and the second chatbot 31b are described separately, but the chatbot 31 identifies the user 21 by, for example, an ID (IDentification). The chatbot 31 may be a single chatbot 31 if it is configured to respond individually to each user 21.

In the reliability improvement unit 4e, the chatbot 31 communicates with the user 21 to ensure the reliability of the information (first predetermined information and second predetermined information) provided by the user 21. (The function and operation of the reliability improving unit 4e will be described in detail later). The information provided by the user 21 with improved reliability is transmitted from the server 4 to the third information terminal 3, and is provided to the third user 23 via the third information terminal 3. At the same time, the information provided by the user 21 whose reliability has been improved is stored in the database 4i (see FIG. 2). When the information input unit 4a is functioning in the server 4, the server 4 functions as an information input device.

Next, the matching processing unit 4b will be described. The matching processing unit 4b is based on the information provided by the first user 21a (seller) and the information provided by the second user 21b (buyer) whose reliability has been improved by the reliability improving unit 4e. Even if both the seller and the buyer are satisfied, or even if some of the conditions are different, the seller and the buyer who satisfy many conditions are extracted and output as matching candidates. The matching processing unit 4b transmits the matching candidate to the third information terminal 3, and also transmits the matching candidate and the information about the second user 21b (buyer) to the first user 21a (seller). Also, the matching candidate and the information about the first user 21a (seller) are transmitted to the second user 21b (buyer). Further, the matching processing unit 4b stores matching candidates in the database 4i (see FIG. 2).

Further, the third information terminal 3 transmits information about the matching candidate and the user 21 to the agent 40 (here, a natural person or a corporation). The agent 40 contacts the first user 21a or (and) the second user 21b based on the obtained information. On the contrary, the user 21 can also contact the agent 40. As a result, concrete discussions such as acquisition of a company will be started between the seller and the buyer.

When a corporate acquisition or the like is established through the intervention of the matching system S1, the first user 21a (seller) receives a consideration 45 from the second user 21b (buyer) and the third user. A predetermined fee (compensation 45) is paid to 23 (intermediary company). In addition, the second user 21b (buyer) pays the first user 21a (seller) money (commission 45) as the purchase price, and also pays the third user 23 (intermediary). A predetermined fee (compensation 45) is paid to the person. Although not shown, the third user 23 pays a reward to the agent 40 when a company acquisition or the like is completed.

Further, in a case where the matching system S1 is operated by a third user 23 as an intermediary, it seems that the intermediary has licensed the use of the matching system S1 to another intermediary. In that case, the intermediary company receives the usage fee of the matching system S1 from another intermediary company.

FIG. 2 is a block diagram showing a configuration of a server 4 in the matching system S1 according to the embodiment of the present invention. Hereinafter, the description will be continued with reference to FIG. 2 in combination with FIG. The server 4 may be installed in, for example, the company building of the third user 23, or may be a so-called cloud server. The server 4 is connected to the first information terminal 1, the second information terminal 2, and the third information terminal 3 via a network 6 such as the Internet. The server 4 includes a chatbot 31, a matching processing unit 4b, a reliability improving unit 4e, a calculation unit 4f, a storage unit 4g, a transmission / reception unit 4h, and a database 4i. Each of these elements is connected by a bus 4j, and data is transmitted and received to and from each other via the bus 4j.

The transmission / reception unit 4h is a so-called network interface, which is connected to the network 6 to transmit / receive data bidirectionally between the server 4 and the first information terminals 1 to 3. The arithmetic unit 4f is composed of a CPU (Central Processing Unit) or the like, and the arithmetic unit 4f has another configuration according to a control program stored in a ROM (Read Only Memory), a RAM (Random access memory) or the like constituting the storage unit 4g. Control the element.

The database 4i is built in a so-called large-capacity storage having a RAID (Redundant Arrays of Independent Disks) configuration and the like. The database 4i contains personal information of the user 21, an ID as an identification for identifying the user 21, information provided by the user 21 whose reliability has been improved by the reliability improving unit 4e, matching candidates, and later. Check items for various forms such as the seller entry form and the buyer entry form are stored.

Here, the matching processing unit 4b, the reliability improving unit 4e, the voice recognition unit 4k and the utterance generation unit 4m constituting the chatbot 31 operate according to the program in which the above-mentioned calculation unit 4f is stored in the storage unit 4g. It works by doing so. That is, FIG. 2 shows the physical configuration and the functional configuration of the server 4 as one diagram for easy explanation.

The voice recognition unit 4k constituting the chatbot 31 obtains the voice data obtained by digitizing the voice emitted by the user 21 via the transmission / reception unit 4h and converts it into text data.

For conversion to text data, for example, phoneme recognition by an acoustic model can be used. In phoneme recognition, the frequency component and time change of speech are analyzed using an acoustic model, a single note is extracted from the speech waveform, and the feature amount is used to identify the phoneme that is the basis of each language by pattern matching. The pattern matching method used to be the Gaussian Mixture Model-Hidden Markov Model (GMM-HMM) as a probabilistic method, but nowadays GMM's probabilistic calculation is replaced with a deep neural network (DNN). HMMs are widely used.

As another method, it is also possible to utilize a pattern matching technique based on a language model. In pattern matching using a language model, in the process of converting phonemes to phonemes, phonemes to words, and words to sentences, the accuracy of converting voice data to text data is improved by applying algorithms optimized in each layer. ..

The text data output by the voice recognition unit 4k is transmitted to the calculation unit 4f. When the chatbot 31 receives the text data from the user 21, the text data is transmitted to the calculation unit 4f.

By the way, in the database 4i, there is a corpus as a document set that accumulates language usage, and a dictionary as a phrase list that divides text data into words and gives them "surface form", "original form", "part of speech", "reading", etc. It has been built. Further, the database 4i stores the response patterns of the chatbot 31 learned in advance. From this point of view, the chatbot 31 in the present embodiment is an AI chatbot to which so-called machine learning is applied, and the interaction between the user 21 and the chatbot 31, which will be described later, is used for additional learning as a response pattern.

The arithmetic unit 4f performs morphological analysis on the received text data to cut out a word which is the smallest unit constituting the language, and further performs structural analysis in order to eliminate ambiguity in the content of the text data. Next, the arithmetic unit 4f searches the database 4i based on the relationship between the plurality of vocabularies obtained by referring to the corpus and the dictionary described above, and acquires the information necessary for the response to the user 21. By combining the information obtained in this way with the response pattern of the chatbot 31, or by using the response pattern already stored in the database 4i as it is, the text data that finally responds to the user 21 can be obtained. Will be generated.

The response to the user 21 includes answer text data for answering a question from the user 21 and question text data for asking a question to the user 21. The reliability improvement unit 4e described above may refer to the answer text data and the question text data (hereinafter, the answer text data and the question text data may be collectively referred to as “response text data”) of the user 21. Increase the reliability of the information provided.

When the chatbot 31 is communicating with the user 21 by voice, the calculation unit 4f outputs the generated response text data to the utterance generation unit 4m. The utterance generation unit 4m generates digital voice data based on the input response text data and transmits it to the calculation unit 4f. The calculation unit 4f transmits the obtained digital voice data (response voice data) to the information terminal (for example, the first information terminal 1) used by the user 21 via the transmission / reception unit 4h. When the chatbot 31 communicates with the user 21 using the text data, the calculation unit 4f transmits the response text data as it is to the information terminal used by the user 21. The user 21 acquires the received response voice data or response text data at the information terminal, so that communication with the chatbot 31 is continued.

Hereinafter, the reliability improvement process (that is, the process of the reliability improvement unit 4e) performed through the communication between the chatbot 31 and the user 21 will be described with reference to a specific example. In the following description, it is assumed that the user 21 is using at least an information terminal (tablet terminal or personal computer) having a display screen. Further, the chatbot 31 shall exchange text data with the user 21.

By the way, in the acquisition of a company, there are three stages of the first stage [interest], the second stage [examination], the third stage [start], and the concrete negotiation stage. Since the specific negotiation stage is often based on communication between people (both are natural persons or corporations), the explanation regarding the specific negotiation stage will be omitted in the following explanations.

Here, the first stage [interest] is information on the possibility that the first user 21a, who has an intention to transfer the company due to the absence of a successor, may transfer the company in search of a buyer. This is the stage where the second user 21b, who has the intention of acquiring an appropriate company for reasons such as wanting to expand the business, provides the company's information in search of the seller. ..

The second stage [examination] is a stage in which the first user 21a as a seller grasps how much the monetary value of the company is evaluated when the policy of transferring the company is reached. Specifically, for example, the corporate value is evaluated based on the gross profit, operating profit, ordinary profit, etc. stated in the financial statements, but in order to accurately grasp the corporate value, depreciation and tax savings are required. It will be necessary to make various adjustments (statement of adjustment items) regarding the reserve of life insurance for the purpose. However, it is said that there is a strong tendency for the detailed information of such adjustment items to be unreliable.

In the third stage [start], the first user 21a as a seller provides detailed information about the company regarding so-called "people", "things", and "money" to the second user 21b as a buyer. It is the stage to disclose and concretely start negotiations such as acquisition of companies. Generally, information on "money" is satisfied by receiving financial statements, tax returns, etc. from the first user 21a, but information on "people" and "things" is satisfied by the first user 21a. It is necessary to have the information on the employee composition, products and services handled, etc. filled out in the prescribed form. At this time, the problem that it is unclear what to input and how to input the first user 21a often occurs.

First, the contents of the interaction between the user 21 and the chatbot 31 and the reliability improvement process in the first stage [interest] will be described. [Table 1] is a form in which the first user 21a as a seller who intends to receive a corporate acquisition, etc. fills in the basic information of the company and the desired conditions for transfer when registering the use in the matching system S1 ("No. 1". 1 Predetermined information ”. Hereinafter, it may be simply referred to as a“ seller entry form ”). In addition, in [Table 1], the information whose reliability has already been improved by the reliability improving unit 4e is described.

The first user 21a first inputs required items in the seller entry form displayed on the first information terminal 1, and taps, for example, the "registration" icon displayed on the display screen. The seller entry form is transmitted from the first information terminal 1 to the server 4, and is temporarily stored in the storage unit 4g. The reliability improvement unit 4e accesses the database 4i to obtain check items related to the seller entry form, and when it is determined that the contents of the seller entry form are incomplete, the first chatbot 31a is activated and the first chatbot 31a is activated. Start a chat with the user 21a. Of course, prior to filling out the seller entry form, the calculation unit 4f may activate the first chatbot 31a so that the first chatbot 31a prompts the first user 21a to fill out the form. No (the same applies when the user 21 fills out various forms, which will be described later). Further, when the user 21 starts a predetermined application when using the matching system S1, the calculation unit 4f may start the chatbot 31 to guide the user 21 to various services.

In this example, assuming that the company name is simply "Magokoro Construction", the text "Is your company a corporation?" Is displayed on the display screen of the first information terminal 1. If the first user 21a responds "Yes, that's right.", The first chatbot 31a notifies the first user 21a that "I understand." And the content of the omission. Is output to the reliability improvement unit 4e, the reliability improvement unit 4e corrects the company name of the seller entry form to "Magokoro Construction Co., Ltd.", and the corrected information is transmitted to the first information terminal 1 via the network 6. Send to.

If the first user 21a answers "No." to the question "Is your company a corporation?", The first chatbot 31a says, "Then, the form of your company is Is it a limited liability company, a limited partnership company, or a limited partnership company? " The first user 21a answers the question of the first chatbot 31a as "It is a limited liability company." In response to this, the reliability improvement department 4e changes the company name to "Magokoro." It is modified to "Construction Godo Kaisha", and the content of this modification is displayed on the first information terminal 1. In this way, real-time chat is performed between the first user 21a and the first chatbot 31a from the viewpoint of interactivity and continuous communication.

In this way, the "information with improved reliability" obtained by the cooperation between the reliability improving unit 4e and the chatbot 31 is transmitted from the server 4 to the first information terminal 1. As a result, the first user 21a does not operate the first information terminal 1 by himself, and the items described in the seller entry form are updated to "information with improved reliability".

Further, when the reliability improvement unit 4e searches the Internet using the company name as a key, acquires the information of the company, and finds an error in the location of the head office, for example, the first chatbot 31a makes the error first. It is also possible to point out to the user 21a of 1 and lead to the correction. In this way, the seller entry form with improved reliability is stored in the database 4i.

That is, the information input device (information input unit 4a) according to the present invention communicates with the first information terminal 1 used by the first user 21a, and the first information terminal 1 to the first information terminal 1 to the first. It is an information input device that takes in the first predetermined information (here, the seller entry form) provided by the user 21a, and the information input device takes in the first predetermined information from the first information terminal 1. At that time, the reliability improving unit 4e is provided, which communicates interactively and in real time with the first information terminal 1 to enhance the reliability of the first predetermined information provided by the first user 21a. .. Further, the information input device uses the first chatbot 31a to communicate with the first user 21a via the first information terminal 1 at least by voice or text.

[Table 2] is a form in which the second user 21b as a buyer who intends to acquire a company, etc., fills in the basic information of the company and the desired conditions for acquisition when registering the use in the matching system S1 ("2nd". This is an example of "predetermined information". Hereinafter, it may be simply referred to as "buyer entry form"). In addition, in [Table 2], the information whose reliability has been improved by the reliability improving unit 4e is already described.

The second user 21b first inputs the required items in the buyer entry form displayed on the second information terminal 2, and taps, for example, the "registration" icon displayed on the display screen. The buyer entry form is transmitted from the second information terminal 2 to the server 4, and is temporarily stored in the storage unit 4g. When the reliability improvement unit 4e accesses the database 4i to obtain the check items related to the buyer entry form and determines that the contents of the buyer entry form are incomplete, the second chatbot 31b is activated and the second chatbot 31b is activated. Start a chat with the user 21b of. Since this process is substantially the same as the content explained using [Table 1] (seller entry form), the description is omitted. Finally, the buyer entry form is stored in the database 4i of the server 4.

In this way, the "information with improved reliability" obtained by the cooperation between the reliability improving unit 4e and the chatbot 31 is transmitted from the server 4 to the second information terminal 2. As a result, the item described in the buyer entry form is updated to "information with improved reliability" without the second user 21b operating the second information terminal 2 by himself / herself. Also, regarding the buyer entry form, real-time chat is performed between the second user 21b and the second chatbot 31b from the viewpoint of interactivity and continuous communication.

When the seller entry form is newly registered in the database 4i, the matching processing unit 4b of the server 4 executes the matching process with the buyer entry form already registered so far. Further, when the buyer entry form is newly registered in the database 4i, the matching process is executed with the seller entry form already registered so far. Further, the user 21 can modify the seller entry form and the buyer entry form, and the matching processing unit 4b executes the matching process again even if these entry forms are modified. The result of the matching process is stored in a database using, for example, the company name (here, Japan Holdings Co., Ltd.) included in the basic information in [Table 2] or the code information (not shown) associated with the company name as a key. It is stored in 4i. Further, when a corporate acquisition or the like is finally established, a flag indicating the fact (hereinafter, may be referred to as a “establishment flag”) is also stored in the database 4i.

In the matching process, each item of the entry form may be weighted and quantified (scored) to generate a matching degree, and the matching processing unit 4b generates a list of matching degrees in descending order of score. You may. Then, the matching processing unit 4b outputs the result of the matching processing to the calculation unit 4f, and the calculation unit 4f notifies at least the user 21 who has input (or modified) the entry form of the result of the matching processing.

Of course, both the first user 21a and the second user 21b may be notified of the result of the matching process. Further, the result of the matching process is also notified to the third user 23 (intermediary), and the agent 40 is also notified via the intermediary. Although it is assumed that the notification is performed via the chatbot 31, the notification may be performed via a predetermined dialog box displayed on the first information terminal 1 to the third information terminal 3. In addition, the notification may be in the form of score-based recommendations, not just as information, but in terms of recommending appropriate potential partners.

That is, the matching system S1 according to the present invention is a matching system including the above-mentioned information input device (information input unit 4a), and the information input device is a second information terminal 2 used by the second user 21b. The second information terminal 2 to the second information terminal 2 to take in the second predetermined information provided by the second user 21b, and the reliability improving unit 4e of the information input device communicates with the second information terminal. When taking in the second predetermined information from the second, the second predetermined information is trusted by the second user 21b by interactively communicating with the second information terminal 2 in real time. The matching process is performed based on the first predetermined information and the second predetermined information whose reliability has been improved and the reliability has been improved by the reliability improving unit 4e. Then, the information input device uses the second chatbot 31b to communicate with the second user 21b via the second information terminal 2.

Further, the matching processing unit 4b refers to the establishment flag stored in the database 4i, for example, when executing the matching processing for the second user 21b, and the second user 21b actually acquired the company in the past. You may learn the tendency when the above is established, modify the weighting of each item of the entry form based on the learned result, and calculate the matching degree. Specifically, when it is learned that the second user 21b is selectively acquiring a company whose head office location is registered in a specific area or a company that operates a restaurant business as a business, for example, matching The processing unit 4b calculates the matching degree in consideration of such a past tendency. This makes it possible to calculate the degree of matching in the matching process based on the user 21's synergy realization policy such as vertical integration or horizontal integration.

Next, the contents of the interaction between the user 21 and the chatbot 31 and the reliability improvement process in the second stage [examination] will be described. [Table 3] is an example of a "value evaluation form" that the seller (first user 21a) discloses to the buyer (second user 21b) who is interested in the company in the second stage [examination]. It is a table showing. The valuation form is based on the Profit and Loss statement (PL) and the Balance sheet (BS). This is based on the fact that the value of the seller is evaluated comprehensively by combining the real annual profitability (the earning power of the company) derived from the income statement and the real net assets derived from the balance sheet. However, in [Table 3], only the items based on the income statement are excerpted and described. Further, in [Table 3], information whose reliability has already been improved by the reliability improving unit 4e is described.

By the way, when the manager of a company wants to transfer the company, the evaluation of the company's value (evaluation of monetary value) becomes a serious concern. At this valuation stage, the balance sheet and income statement are important sources. Here, when the first user 21a extracts financial figures such as sales, gross profit, operating profit, and ordinary profit from the income statement and posts them to the valuation form, the numerical values unless there is a posting error. On the other hand, in order to accurately evaluate the corporate value, it is necessary to make adjustments in consideration of processing such as depreciation and the accumulation of life insurance for tax saving. Specifically, the adjustment amount is "Remuneration for officers scheduled to retire (adjustment item)", "Depreciation expense (adjustment item)", "Other adjustment item (1)", "Other adjustment item (2)" in [Table 3]. (Hereinafter, it may be collectively referred to as "adjustment item").

However, regarding such adjustment items (especially "other adjustment items"), small and medium-sized enterprises that do not have a finance department lack the knowledge of what the adjustment items mean to the person in charge of input in the first place. As a result, it tends to be unreliable as information.

In the matching system S1 according to the present invention, even when the first user 21a inputs to the value evaluation form, the reliability improving unit 4e of the information input unit 4a inputs the value evaluation form of the first user 21a. For the content, the reliability improvement process for improving the reliability of the information is executed in cooperation with the first chatbot 31a.

Specifically, when the first user 21a inputs the value evaluation form (first predetermined information) and performs the registration work on the server 4, the reliability improvement unit 4e is, for example, a column of adjustment items. If the numerical value is not described in, the first chatbot 31a is activated. The first chatbot 31a asks a question to the first user 21a. Hereinafter, an example of a chat exchanged between the first user 21a and the first chatbot 31a will be shown. In the following example, "C" is a text generated by the first chatbot 31a and displayed on the first information terminal 1, and "U" is the text generated by the first user 21a and displayed on the first information terminal 1. This is the text you entered in (the same applies below).

Here, in [Table 3], the case where the numerical value is not entered in the column of depreciation expense for the fiscal year ending June 2017 is illustrated.
C: "There seems to be an omission in the adjustment item column. Should I check the items to be described in the adjustment item individually?"
U: "Yes, please check."
C: "Does your company incur depreciation expenses in the fiscal year ending June 2017?"
U: "It's happening."
C: "Then, please tell me the depreciation cost for the current period."
U: "It's 2 million yen."

Here, the reliability improvement unit 4e transmits [Table 3] in which the face value notified by the first user 21a is entered in the adjustment item (here, depreciation expense) to the first information terminal 1, and the first The user 21a can confirm the additional contents. Further, the first chatbot 31a continues communication with the first user 21a.
C: "Does your company reserve life insurance?"
U: "Yes, I'm saving."
C: "Then, please tell me the amount of reserve for each period."
U: "It is 3 million yen for each period."
C: "I understand. I have entered the correction details in the other adjustment item (1). Please check."
U: "I confirmed."
C: "Thank you. Then you will receive the modified valuation form."
In this way, the value evaluation form with improved reliability is stored in the database 4i and disclosed to the second user 21b who is the buyer.

When the first user 21a asks the first chatbot 31a a question such as "What is the adjustment item?", The first chatbot 31a responds stored in the database 4i. An answer is selected from the patterns and the first user 21a is notified. Of course, at this time, a still image, a moving image, or the like for explanation may be distributed.

Of course, if there are other adjustment items, the first chatbot 31a chats to urge the first user 21a to add / modify. Financial figures are extremely important information when acquiring a company. According to the present invention, the first chatbot 31a and the reliability improving unit 4e collaborate to enhance the reliability of financial numerical values, and thereby strengthen the relationship of trust between the seller and the buyer. Become. That is, the information input device (information input unit 4a) of the present embodiment cooperates with the reliability improvement unit 4e and the first chatbot 31a to provide financial information provided by the first user 21a. Improve the reliability of numbers.

Hereinafter, in the second stage [start], the reliability improvement unit 4e and the chatbot 31 collaborate to provide financial information from the user 21 (particularly, the first user 21a as a seller). An example of excluding uncertain information will be described in combination with [Table 3] (value evaluation form) and [Table 1] (seller entry form).

The reliability improvement unit 4e calculates the appropriate transfer price C by executing the following calculation based on the values of “net assets” and “adjusted operating profit” shown in [Table 3].
Appropriate transfer price C = net assets + adjusted operating income x N ... (Equation 1)
Note that (Equation 1) is an equation based on the rule of thumb that the inventor has derived in the process of carrying out a large number of cases such as acquisition of a company. Here, N means the number of years in which the seller is expected to obtain adjusted operating profit in the future, but in the second stage [examination], the appropriate transfer price C is used only as a numerical value indicating a guideline for the transfer price. For example, it is calculated by setting N = 3.

Next, the reliability improvement unit 4e compares the calculated appropriate transfer price C with the assumed transfer amount shown in [Table 1]. As shown in [Table 1], the estimated transfer amount varies, for example, 300 million. The reliability improvement unit 4e activates the chatbot 31 when the appropriate transfer price C is not within the range of the assumed transfer amount.

When the fair transfer price C is smaller than the range of the seller's assumed transfer amount (that is, when the seller overestimates his company etc. (this is the majority)), the chatbot 31 is the first. For example, "I saw your company's value evaluation form. Based on my experience so far, it is considered that there is no buyer who purchases your company with the assumed transfer amount you desire." I will give you advice. On the contrary, when the appropriate transfer price C is larger than the range of the seller's assumed transfer amount (that is, when the seller underestimates his company, etc.), the chatbot 31 says, "The transfer can be made at a higher amount. I can think of it. "

Further, the chatbot 31 asks the first user 21a a question such as "Should the estimated transfer amount of the seller entry form be corrected to a range that seems appropriate?" When the first user 21a responds to this advice to the effect that he / she agrees, the column of the estimated transfer amount in [Table 1] is corrected. In this way, the reliability improvement unit 4e and the chatbot 31 cooperate with each other (that is, the information input device (information input unit 4a) cooperates with the reliability improvement unit 4e and the chatbot 31. ) The information provided by the user 21 (here, the first user 21a) is excluded from the financially uncertain information, and the reliability of the financial numerical value is improved. That is, the information input device executes a process of enhancing the reliability of the information provided by the user 21.

In the above example, the appropriate transfer price C is determined based on (Equation 1). For example, the latest sales / industry in [Table 1] and the numerical values of each item in [Table 3] are multidimensional vectors. The appropriate transfer price C is determined using this learning model by learning by associating the vector with the transfer price when the acquisition of the company is actually established (the learning model is built in the database 4i). You may. It is said that the fair transfer price C is often affected by the type of industry, and the application of machine learning is useful from this point of view as well.

In addition, [Table 3] (value evaluation form) explained that the first user 21a manually posts the necessary items from the profit and loss statement. For example, the first user 21a calculates the profit and loss as a paper medium. The book is read by a scanner, the image data is uploaded to the server 4, converted to text data using OCR (Optical character recognition) on the server 4 side, and then the necessary items are extracted to evaluate the value. You may create a form. Even when the value evaluation form is created without the manual work of posting in this way, since the income statement is originally created by the user 21, financially uncertain information is eliminated. There is great significance in performing the processing.

Hereinafter, the reliability improvement unit 4e and the chatbot 31 collaborate to eliminate financially uncertain information from the information provided by the user 21 (particularly the first user 21a (seller)). An example will be described.

In the second stage [start], in addition to the information based on the income statement stated in the valuation form, the information based on the balance sheet is also the financial status of the company (contents of assets and liabilities) on the closing date. ), Which is a very important factor in the acquisition of a company. As mentioned above, the valuation form contains information based on the balance sheet as well as information based on the income statement, but the information based on the balance sheet is also manually entered by the user 21 in the same way as the income statement. It may be posted on the valuation form or it may be filled in automatically using OCR.

The reliability improvement department 4e checks, for example, "inventory assets" on the value evaluation form containing information based on the balance sheet, and the inventories have not changed for a predetermined period (here, for example, three periods). When it is detected that the inventories are abnormally large (determined using a predetermined threshold), the chatbot 31 is activated and the user 21 is given financially uncertain information in the valuation form. Notify that it is included and urge correction. Here, the situation where the inventories do not fluctuate means, for example, that the inventory is stagnant, which is usually a disadvantageous material for the seller. In addition, the situation where the inventories are abnormally large means that the inventories are in bad stock, which is also a disadvantageous material for the seller. When such a situation is detected, the reliability improvement unit 4e functions to eliminate financially uncertain information in order to protect the interests of the user 21 (here, the first user 21a as a seller). ..

Similarly, when fixed assets including securities such as land and buildings fluctuate significantly, or when a defect is found in the description of membership such as golf membership included in fixed assets, reliability is improved. The part 4e may activate the chatbot 31 to urge the user 21 to make corrections.

As described above, also in the second example, the reliability improvement unit 4e and the chatbot 31 cooperate to eliminate financially uncertain information from the information provided by the user 21. The income statement and balance sheet are documents submitted to the tax office, but they are not always correct because they are created by the user 21, and the reliability improvement department 4e provides financially uncertain information. Elimination is beneficial to both the seller and the buyer.

Next, the contents of the interaction between the user 21 and the chatbot 31 and the reliability improvement process in the third stage [start] will be described. [Table 4] shows the first example of the financial data disclosed to the second user 21b as a buyer in which the first user 21a as a seller is negotiating with the company in the third stage [start]. (Hereinafter, [Table 4] may be referred to as “Financial Material Form (1)”). The financial data form (1) corresponds to the "first predetermined information". Further, in [Table 4], information whose reliability has already been improved by the reliability improving unit 4e is described.

The financial data form (1) contains details of the seller's business (transaction partner) and the result of SWOT analysis. Here, the details of the business content are specific numerical information, and can be trusted on the premise that the first user 21a does not make a mistake in the description on the form. However, in general, it is difficult for the seller to make a correct self-evaluation and judge the SWOT analysis.

Even in this aspect, the reliability improvement unit 4e in the matching system S1 cooperates with the first chatbot 31a to support the description of "strengths", "weaknesses", "opportunities", and "threats" of SWOT analysis. I do. Here, for example, the following chat is exchanged between the first chatbot 31a and the first user 21a.

C: "Do other companies sell equipment that has the same performance as your main product?"
U: "No, our product has the highest market share. We also have a patent."
C: "If you have a patent, other companies have no choice but to use an alternative technology or obtain a license from your company. Can you expect sufficient performance with the alternative technology?"
U: "Yes. Alternative technology is not good enough."
C: "What percentage of profit is the investment in technology development?"
U: "It's about 10%."
C: "It's a considerable investment amount. Isn't your company's technical strength considerably high?"
U: "Yes. I think so. It's a unique technology. I'm confident in our technical capabilities."
C: "I see. One of your company's strengths is" technical capabilities. " Would you like to list it in the "Strengths" column? "
U: "Yes, please do so."

For other items of SWOT analysis, as in the above example, the reliability improvement unit 4e cooperates with the first chatbot 31a to support the SWOT analysis through chat with the first user 21a. The description in the financial data form (1) shall be enhanced.

In this embodiment, the database 4i contains samples of "strengths (S)", "weaknesses (W)", "opportunities (O)", and "threats (T)" of the SWOT analysis shown in [Table 5]. It is stored, and the reliability improvement unit 4e reads a sample of SWOT analysis from the database 4i and presents it to the user 21, and the user 21 accurately performs each item of the SWOT analysis in cooperation with the chatbot 31. Assist in writing in. Then, the contents of the SWOT analysis selected or described by the user 21 are stored in the database 4i.

What is important here is that the first user 21a develops a sense of trust in the first chatbot 31a through SWOT analysis and the like. People's feelings of trust in chatbots, for example, give Xiaoice, a chatbot announced in China in 2014, "the same affection as human women." It is also demonstrated by the large number of men who feel it. From this point of view, in the present embodiment, the agent 40 is interposed between the first user 21a and the second user 21b in the final phase of the acquisition of a company (the above-mentioned specific negotiation stage). However, it is also possible to replace the agent 40 with a chatbot 31. Specifically, the advice given by the agent 40 as a person with the user 21 (for example, the adjustment of interests such as the adjustment of conditions between the seller and the buyer, the adjustment of the selling price, the adjustment of deficiencies, etc., and the question or answer A learning model is generated by learning the results of timing adjustment / progress management such as timing adjustment when progress is not progressing by machine learning, and the chatbot 31 is configured to respond based on this learning model. Just do it.

In the above example, the financial data form (1) is explained assuming that the first user 21a who intends to receive a corporate acquisition or the like presents the financial material form (1) to the buyer side. In 1), the application program is configured to encourage the second user 21b, who is the buyer, to submit the matching system S1. Then, for the financial data form (1) submitted by the buyer, the reliability improvement department 4e cooperates with the second chatbot 31b to support SWOT analysis through chat with the second user 21b. , The description of the financial data form (1) shall be enriched (that is, the reliability shall be improved). The reason is that it is possible to analyze the matching result by the matching processing unit 4b and make a recommendation such as "Your business will become a better business if you cooperate with this company". The financial data form (1) submitted by the buyer at this time corresponds to the “second predetermined information”.

As a result, the matching system S1 describes the contents of the SWOT analysis submitted by the plurality of users 21 as "first predetermined information with improved reliability" and "second predetermined information with improved reliability". , And matching processing can be performed. The result of the matching process is, for example, via chatbot 31, "This company will crush your weaknesses. Moreover, the financial conditions are also matched. Would you like to contact me (chatbot 31)?" It is also possible to provide recommendations such as. If a company that is interested in this recommendation appears, it will be possible to disclose information on specific business partners.

Further, in the matching process, the matching process unit 4b refers to the establishment flag stored in the database 4i, and the seller (the second user) when the buyer (second user 21b) actually establishes a corporate acquisition or the like in the past. The contents of the SWOT analysis of the user 21a) of 1 are learned for each buyer. If the buyer here has completed multiple acquisitions of a company in the past, the next time the same buyer considers an acquisition of a company, the matching processing unit 4b will learn that "the acquisition of a company has actually occurred in the past." Refer to "Details of SWOT analysis of established sellers", extract sellers who have submitted financial data form (1) that describes the contents of SWOT analysis that matches or is similar to this, and offer buyers candidates for corporate acquisitions, etc. I recommend it as.

That is, in the present embodiment, the matching processing unit 4b has information on "a plurality of sellers (first user 21a) in which a purchaser (second user 21b) has actually acquired a company" (here, SWOT). When a buyer learns (contents of analysis) and considers a new acquisition of a company, a new seller candidate is extracted based on the learning result and presented (recommended) to the buyer.

In addition, a certain buyer (hereinafter sometimes referred to as "first buyer") has completed multiple acquisitions of a company in the past, and the content of the SWOT analysis of the seller selected by the first buyer is constant. When other buyers (hereinafter sometimes referred to as "second buyers") who have SWOT analysis contents similar to those of the first buyer consider the acquisition of a company, etc. The matching processing unit 4b may recommend the candidate for corporate acquisition or the like presented to the first buyer to the second buyer. This is based on the fact that if the seller chosen by the first buyer has a particular tendency, it is likely that a second buyer similar to the first buyer will make the same choice as the first buyer. ..

That is, in the present embodiment, the matching processing unit 4b has information on "a plurality of sellers (first user 21a) in which a purchaser (second user 21b) has actually acquired a company" (here, SWOT). When another buyer (second buyer) who learned the content of the analysis) and provided information that is different from the buyer and similar to the information about the buyer, considers a corporate acquisition, etc., a new seller candidate based on the learning result Is extracted and presented (recommended) to other buyers.

The "information about a plurality of sellers" used for learning may be the information described in the seller entry form shown in [Table 1] instead of the content of the SWOT analysis, or the content of the SWOT analysis and the seller entry form. The information may be a combination of the information described in.

[Table 6] shows a second example of the financial data disclosed to the second user 21b as a buyer in which the first user 21a as a seller is negotiating with the company in the third stage [start]. (Hereinafter, [Table 6] may be referred to as “Financial Material Form (2)”). The financial data form (2) corresponds to the "first predetermined information". Further, in [Table 6], the information whose reliability has already been improved by the reliability improving unit 4e is described.

The financial data form (2) describes the seller's employee composition here. That is, the financial data form (2) contains information on "people" (organizations). In a company with a certain size, the employee ledger is usually prepared, and it is sufficient if the first user 21a sends the ledger data to the intermediary (third user 23), but the number of employees is 10. It is rare for a small company with a human scale to have a ledger such as an employee ledger.

For such a small business, the first user 21a will fill out the financial data form (2). In this phase, the first chatbot 31a asks the first user 21a a question such as "How many full-time employees are there and how many dispatched or part-time workers are there?" If the age distribution is not entered, the first chatbot 31a prompts the first user 21a to provide information, such as "How many people are in their twenties?". Then, when the input of all ages is completed, the total in the age distribution is calculated. The reliability improvement unit 4e checks whether there is any contradiction in the entered numerical values, and if there is a contradiction, for example, "The total number of input is not the same as the total number of regular employees and the total of dispatched / part-time workers. By asking a question via the first chatbot 31a and resolving the numerical contradiction of the information provided by the first user 21a, such as "Should I correct it?" Improve. That is, the information input device (information input unit 4a) of the present embodiment cooperates with the reliability improvement unit 4e and the first chatbot 31a to numerically display the information provided by the first user 21a. Resolve the contradiction.

By the way, it is clear that the matching system S1 of the present embodiment functions effectively not only in the acquisition of a company but also in the matching in a partnership between companies. In this case, the selling price does not matter, synergies can be expected based on the SWOT analysis, and if information such as the financial status of the company is disclosed to both parties, it is possible to form an alliance on an equal footing. As a result, for example, if a company has selected the time to receive a corporate acquisition within five years, it will temporarily form a business alliance, etc. prior to the corporate acquisition, etc. to expand its business and further increase its value. It will also be possible to handle cases such as transferring a business.

The information input device and matching system S1 according to the present invention have been described in detail based on specific embodiments, but these are merely examples, and the present invention is not limited to these embodiments. For example, the information input device has been described by taking M & A such as a business acquisition as an example, but the information input device of the present invention determines the reliability of predetermined information input by the user 21 with the reliability improvement unit 4e and the chatbot 31. It is improved by collaborating with and effectively used not only information about companies and companies, but also information about marriage activities, information about employment and part-time jobs, etc., in matching people to people or people to companies. It's clear that you can.

Since the information input device and the matching system according to the present invention can improve the reliability of predetermined information input by the user, for example, acquisition of another company, tie-up with another company, business transfer, company It can be suitably applied as a matching system in transfer or the like.

1 First information terminal 2 Second information terminal 3 Third information terminal 4 Server 4a Information input unit 4b Matching processing unit 4e Reliability improvement unit 4f Calculation unit 4g Storage unit 4i Database 4k Voice / text recognition unit 4m Speech generation Part 6 Network 21 User 21a First user (seller)
21b Second user (buyer)
23 Third user (intermediary)
31 Chatbot 31a First Chatbot 31b Second Chatbot 40 Agent

Claims (2)

An information input device that communicates with a first information terminal used by a first user and captures first predetermined information provided by the first user from the first information terminal. There,
When the information input device captures the first predetermined information from the first information terminal, the information input device performs interactive and real-time communication with the first information terminal to perform the first user. Provided with a reliability improving unit that enhances the reliability of the first predetermined information provided by
The first user is the seller in the acquisition of the company,
When the first predetermined information is the transfer desired condition desired by the seller,
The reliability improvement department sets an appropriate transfer price as a guideline for the transfer price based on the values of net assets and adjusted operating profit provided by the seller.
Appropriate transfer price = net assets + adjusted operating income x N
(N is the number of years that the seller is expected to obtain adjusted operating profit in the future)
And the calculated,
The calculated appropriate transfer price is compared with the range of the assumed transfer amount included in the desired transfer condition, and when the appropriate transfer price is not within the range of the assumed transfer amount, the chatbot is used to perform the first method. The transfer desired condition by communicating with the seller at least by voice or text via the information terminal 1 and urging the seller to correct the range of the assumed transfer amount by the chatbot. An information input device characterized by increasing the reliability of a chatbot. A matching system including the information input device according to claim 1 and a matching processing unit.
The information input device communicates with a second information terminal used by the second user, and the second predetermined information provided by the second user from the second information terminal. Incorporate
The second user is the buyer in the acquisition of the company,
When the second predetermined information is the desired acquisition condition desired by the buyer,
The matching processing unit sets the presentation conditions of both the seller and the buyer based on the buyer's desired acquisition condition and the seller's desired transfer condition whose reliability has been improved by the reliability improving unit. A matching system characterized by performing a matching process for extracting the seller and the buyer to be satisfied.

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