JP4189968B2 - How to match professionals and prospects - Google Patents

Description

  The present invention relates to a method for matching an expert and a prospective customer by using a computer network to suitably match an expert for the purpose of acquiring a customer and a prospective customer who needs the advice of the expert. Introduce a nearby expert who is good at the field to prospective customers who are planning to build, renovate, and change interiors, and build mutual trust through interaction between the expert and the prospective customer Thus, the present invention relates to a method for matching an expert and a prospective customer for the purpose of realizing a job request to the expert.

Traditionally, when an individual (prospective customer) needs the advice of an expert (refers to a person or business person who is familiar with a specific business / industry), the selection of the expert by the individual is so-called word-of-mouth information from acquaintances, etc. As long as there is no such thing, it was generally done arbitrarily with reference to telephone directory and newspaper insert advertisements.
On the other hand, specialists were trying to acquire customers through sales activities using printed materials such as pamphlets and advertisements, and sales activities through telephone calls and visits. In recent years, homepages on the Internet have been actively used as advertising media.

  For example, when an individual (prospect) wants to change the architecture, renovation, or interior of a house, (1) plan by conducting independent research with reference to books, catalogs of houses, house exhibition halls, and past construction examples (2) Select experts (architect offices, interior coordinator offices, DIY advisor offices, tax accountant offices, etc.) based on advertisements and homepages issued by experts, and (3) After discussing design plans, interiors, tax points, etc. with the specialist, request an estimate for construction, renovation, etc. (4) When the design plan, etc. can be convinced Had a job request to the expert. In addition, in order to construct a house under better conditions, the prospective customer may consult multiple specialists regarding the same request, and in such cases, compare the responses of multiple specialists. By doing so, I requested a contractor with the conditions closest to my request for construction and renovation.

However, in the selection using advertisements and the like, it was difficult to select a suitable expert in accordance with the request due to a lack of information on experts. In addition, when trying to refer to a homepage with a relatively large amount of information, searching for an expert who meets the conditions is troublesome, and there is no necessarily an expert homepage that suits you.
Furthermore, there are specialists who are good and weak in their work, but it was very difficult for individuals with limited expertise to judge their weaknesses. Therefore, even if prospective customers consulted several vendors with much effort and time, it was not always easy to select the optimal vendor.

On the other hand, specialists are also burdened by the large amount of money involved in advertising activities and the opening of websites, and even if they receive orders for a large amount of expenses, the work they have acquired is a job in their field of expertise. Sometimes it wasn't. In addition, even if you post your business performance and areas of expertise on advertisements and homepages to appeal to prospective customers, they are passively waiting for job requests from customers. It was not possible to carry out aggressive sales activities according to customer needs.
On the other hand, solicitation by telephone or visit that can respond to individual prospective customers is often shunned from the presence of unscrupulous vendors that have been rampant in recent years, and it takes a lot of time and labor to find prospective customers. It was.
In addition, even if specialists such as doctors and dentists wish to increase the number of patients from the viewpoint of clinic management, active advertising for marketing purposes is regulated, so patients are not limited to word of mouth. There was no way to increase it.

  Individuals who have difficulty obtaining word-of-mouth information have a headache about how to find an expert who meets their needs, while specialists are low-cost and effective in acquiring customers. I was looking for a means.

In such a situation, as a method for introducing a comment provider (expert) suitable for the request of the owner (prospect customer) and linking the two, the “support method, apparatus, matching of housing design plan” described in Patent Document 1 A "system" has also been proposed.
The present invention provides a support method, apparatus, and matching system for a housing design plan that enables a client to easily collect useful information and construct an optimal building plan even for a client who has no experience in building a house. It is intended to provide. Specifically, we ask for comment providers who provide comments on the housing requests of the client (owner) who designs the housing, disclose the process of creating the client's design plan to the comment providers, and comment Requests from multiple providers can be referred to by publishing comments such as opinions and requests provided by the provider to the client and enabling information exchange between the client and the provider. It supports the housing design plan that meets the demands of the workers.
Japanese Patent Laid-Open No. 2002-92197

  However, the invention described in Patent Document 1 discloses only the support of the client by enabling information exchange between the client and the comment provider, and provides the optimum comment for the client's request. It was not considered at all whether the person was elected. In addition, the comment providers also have a wide range of owners seeking comments, so even if they write comments and opinions over time, they often do not lead to effective customer acquisition.

  The present invention has been proposed in order to solve the above-mentioned problems. For prospective customers, it is possible to facilitate the selection of the optimum specialists in consideration of the business scope and specialty areas of specialists. Provides a matching method between experts and prospects that enables them to acquire customers effectively and at low cost by receiving introductions of prospective customers who have selected themselves under specific conditions. The purpose is to do.

In order to achieve the above object, the method for matching an expert and a prospective customer according to claim 1 is based on a prospective customer (4) who needs expert advice from an expert (2) for the purpose of customer acquisition. Is a method for matching experts and prospective customers using computer network (6), where the expert's location, industry category, business scope, field of expertise, business performance, Expert data registration stage (S1) for obtaining expert data (s) such as appeal points and input of weights (Ws) for each sub-category of the specialty field of the expert data, and storing them one by one; for the customer, it prompted for input and professional weighting of each sub-classification of the niche that you want to the house of the whereabouts and experts of the industry category of prospects (Wc), the prospects whereabouts and professional management Range matching and experts narrowed down to primarily as a premise the match industry category experts weighting and the prospects for each sub-classification of areas of expertise is the weighting of each sub-classification of the niche that you want to experts lists experts judged the matching ratio, an expert list display step of prompting a user to select secondarily experts (S2), the reading experts data secondarily selected expert, Expert data output stage (S3) for outputting all or part of the data to the prospective customer, and prompting the customer to input a question item (Q) to be consulted with an expert selected secondarily. A question stage (S4) and an answer stage (S5) in which a secondarily selected expert inputs an answer (A) to the question item, and an expert who has gained trust by answering Get a job request from a prospect , Characterized in that.

  The method for matching an expert and a prospective customer according to claim 2 is based on map information (m) stored in advance for the expert (2) in the expert data registration step (S1). A map of the area of is displayed, the designation of the location of the specialist and the designation of the business range are obtained on the map, the location location and the business range designated on the map are input with the input expert data (s) In the expert list display step (S2), the location of the narrowed-down expert is displayed on the map for the prospective customer (4), and the location of the expert displayed on the map is displayed. It is characterized by prompting selection of a position.

According to the method for matching an expert and a prospective customer according to claim 3 , the weighting (Ws) for each sub-category of the specialty field of the expert data (s) and the prospective customer (4) are required by the expert (2). The weight (Wc) for each sub-category of the specialty field is quantified, and the selection of experts at the expert list display stage is performed by the weight value and the prospective customer for each sub-category of the expert specialty field. This is done by determining that the product of the weighting value for each sub-category of the specialty field desired by the expert is higher for each specialty field, and that the matching rate between the expert data and the prospective customer is higher. It is characterized by that.

The method for matching the expert and the prospective customer according to claim 4 gives a predetermined score to the expert (2), and each expert assigns points to the subcategories of the specialty field within the range of the score. The weighting (Ws) is performed.

According to the method for matching an expert and a prospective customer according to claim 5 , the expert (2) assigns a negative weight (Ws) to a specific subclass of the weak field, so that the other subclass It is possible to increase a predetermined score for allocating to each other.

According to the method for matching an expert and a prospective customer according to claim 6 , in the display of the location of the expert on the map in the expert list display stage (S2), the matching rate is high or low for each expert. A numerical value, symbol or character representing the character is added.

The method for matching the expert and the prospective customer according to claim 7 is that the question (Q) of the prospective customer (4) and the answer (A) of the expert (2) to the question are the experts who answered It is disclosed to the public in a state associated with the expert data (s).

The method for matching an expert and a prospective customer according to claim 8 is the following: (i) word-of-mouth information (i) on the prospective customer (4) and / or a third party (4 ′) such as opinions and evaluations about the expert (2) And the word-of-mouth information is disclosed to the public in association with the expert data (s) of the expert.

The matching method between the expert and the prospective customer according to claim 9 is that the prospective customer (4) is a person who is considering the construction, renovation, interior change, etc. of the house, and the expert (2) is the architecture. It is characterized by being an auditor, interior coordinator, DIY advisor, financial planner, tax accountant, etc.

According to the invention described in claim 1, using a computer network represented by the Internet, candidate experts are first selected based on the designation of the industry category of the expert and the business scope of the expert. , By presenting the information (expert data) about the selected experts to the prospective customers and performing the secondary narrowing down of the experts, the prospective customers can select the specialists in the vicinity who can request work. It will be possible to select easily after considering the field of expertise and business results of experts. Moreover, the prospective customer can confirm the reliability and service of the expert individually and specifically by making an inquiry (question) to the expert who has narrowed down.
On the other hand, specialists can receive inquiries from prospective customers who are highly established as customers by showing their industry categories and business ranges, and by appealing their specialty fields. The specialist who receives the inquiry conducts aggressive sales activities, such as gaining trust from the prospective customer and acquiring job requests with a high probability by appropriately answering specific questions from the prospective customer. Will be able to.
Thus, according to the present invention, it is possible to match an expert suitable for a prospective customer, and by increasing the trust relationship between the two after matching, the expert can increase the probability of receiving a job request at low cost. Can do.
Note that the input of the prospective customer at the question stage and the input of the expert at the answer stage include input by voice and video in addition to input by characters.
Here, not only the primary selection of experts based on industry category matching and regional matching, but also weighting the expert's specialty sub-category and the prospective customer's expert specialty sub-weighting It is possible to preferentially introduce experts who are most suitable for the needs of prospective customers by presenting a list of narrowed-down experts after determining the matching rate (match rate).

  In the invention according to claim 2, like the invention according to claim 1, the prospective customer can easily select a suitable expert, and the expert has a prospective customer who has a high probability of becoming a customer. In addition to introducing them, the relationship between the two is deepened to increase the job request rate. The feature is that the location of the specialist and the business range are displayed on a map. In the present invention, the prospective customer can easily confirm the location of the expert by the icon on the map displayed on the computer screen, and the judgment of the choice of the expert from a geographical point of view can be made visually. It can be done easily.

According to the third aspect of the present invention, since the weight of the fine classification of the specialty field of expert data and the weight of the fine classification of the specialty field desired by the prospective customer are quantified, the expert and the prospect The degree of matching with customers can be clearly determined. In the present invention, the matching rate is determined based on the sum of products of the weighting values of the two subclasses of the specialty field. By doing so, when both of the weighting values are large, the total value also becomes large if the expert's specialty field matches the needs of the prospect, so it is possible to introduce the best expert for the prospect. it can.

According to the invention described in claim 4 , by determining the points to be given to the expert under a certain condition, by allowing the expert to assign a score to the subcategory of the specialty field within the range of his / her own points, Appropriate and appropriate weighting of specialties can be performed.

According to the invention described in claim 5 , the specialist assigns a negative weight to the weak field (fine classification) while assigning more points to the strong field (fine classification), so that the special field is specially selected. It will be possible to introduce converted experts to prospective customers.

According to the sixth aspect of the present invention, since a symbol or the like indicating the level of the matching rate is displayed for each expert at the location of the expert displayed on the map, the prospective customer is preferentially matched on the map. You can easily select professionals with high rates.

According to the invention described in claim 7 , since the prospective customer's questionnaire and the expert's answer are made public, the expert is expected to make an appropriate and appropriate answer. Customers can also use this exchange as reference material when selecting experts.

According to the eighth aspect of the invention, prospective customers and third parties have previously informed the experts by soliciting word-of-mouth information such as opinions and evaluations about experts from the general public and disclosing them to the public. It is possible to obtain so-called word-of-mouth information from people who have requested work. Experts can also expect to strive to provide services with high customer satisfaction in order to gain high praise.

The invention according to claim 9 specifically identifies a prospective customer and an expert, a person who is considering the construction and renovation of a house (prospective customer), an architect and an interior coordinator (expert) This will support the construction of houses according to the needs of prospective customers. Limiting the experts to those with official qualifications can give a certain level of security to prospective customers.

Hereinafter, preferred embodiments of the present invention will be described with reference to the drawings.
The matching method between the expert and the prospective customer of this embodiment is the person who is considering the construction, renovation, interior change, etc. of the house that is the prospective customer, the architect who is the expert on the house, the interior coordinator, the DIY advisor, the tax accountant. Etc. using the Internet, etc., a job request by introducing a suitable expert according to the request to the prospective customer and introducing the prospective customer who is likely to become a customer to the specialist. The purpose is to improve the closing rate.

  FIG. 1 is an overall configuration diagram of a matching system used for a method for matching an expert and a prospective customer using the Internet. The matching system 10 includes an information processing device 3 of the management center 1 that performs search and processing of expert data and map information, and an expert 2 connected to the information processing device 3 via a computer network (Internet 6). Information terminal 5 (personal computer, two-way communication TV, etc.) possessed by the information processing device 3 of the management center 1 via the Internet 6 and the information terminal 7 (personal computer or Two-way communication TV, etc.). Between the information terminal 5 of the expert 2 and the information processing device 3 of the management center 1, and between the information terminal 7 of the prospective customer 4 and the third party 4 ′ and the information processing device 3 of the management center 1, the Internet Data is exchanged using the protocol (TCP / IP).

  The information terminals 5 and 7 of the expert 2, the prospective customer 4, and the third party 4 ′ are used to input various information, an input processing unit that processes input data, and an output device. An output control unit for performing the control process, a transmission / reception unit for transmitting input data to the information processing apparatus of the management center, and the like, and at least a homepage browsing function and an email transmission / reception function. Moreover, if it has a telephone conference function etc., the matching method of this invention can also be implemented using an audio | voice and an image.

FIG. 2 is a block diagram showing the configuration of the information processing apparatus according to the first embodiment of the present invention.
The management center 1 is an application service provider that executes various application programs for matching the expert 2 and the prospective customer 4. The information processing apparatus 3 of the management center 1 has a web server 9 and a database server 11 connected to the Internet 6 via a continuous Internet connection line. Each server controls data, transfers data, and performs various operations. Processing, data storage processing, and the like are performed.

The web server 9 exchanges signals between a transmission / reception unit that receives display / transmission of requested URL (Uniform Resource Locator), input / update information of expert data s, and the like, and the transmission / reception unit and the database server 11. It has the 1st calculating part which performs a process.
The database server 11 includes a second calculation unit that searches, extracts, and processes necessary information for a request signal from the first calculation unit of the web server 9 and a database unit that stores various types of information. The second arithmetic unit performs an expert data processing program for registering / searching / extracting the expert data s in the database unit and registering / searching / extracting the map information m for the request signal from the first arithmetic unit. Execute a map information processing program. The database unit includes a map DB 21 in which the map information m is recorded, and a business category DB 22, a position DB 23, a reference information DB 24, and a communication DB 25 that constitute the expert data s of each expert.

  The map DB 21 stores map information of each place, a map of a specific region is stored in an upper layer, and a map of a specific section is stored in a lower layer in a hierarchical structure of several layers. The maps in each layer are in the image file format, and coordinates are given to each point on the map image.

The business category DB 22 stores information for defining business categories of various specialists. More specifically, in addition to the category classification of specialists such as first-class architects, interior coordinators, DIY advisors, apartment renovation managers, lifestyle planners, lighting consultants, residential land transaction managers, real estate appraisers, tax accountants, judicial scriveners A search terminology for demarcating the industry categories of experts by keyword search is prepared for each industry. The industry category DB is used to narrow down the industry categories of experts by a search program based on designation from the industry category list presented to prospective customers by text search.
In the position DB 23, position data p is stored in association with the map information m of the map DB 21 in order to specify the location and business range of the expert 2. The location of the expert specified by the position data p is overlaid by designating coordinates on the image file of the map information m in the map DB, and is displayed with a different icon for each industry category of the expert. The position DB 23 uses the search program to specify the location of the prospective customer (home, etc.) by specifying coordinates on the map, inputting an address, inputting a postal code, or entering a telephone number. A map of the area to be displayed is extracted from the map DB, and is used to display on the screen of the information terminal 7 of the prospective customer 4 in a state where the expert icons narrowed down under a predetermined condition are superimposed on the map.
In the reference information DB 24, various types of reference information r such as specialty fields, business results, appeal points, and the like are stored for each expert 2. The reference information r is associated with an expert icon displayed on the map, and can be referred to by clicking the icon.
The communication DB 25 stores and stores a question item Q of a prospective customer, which will be described later, an expert's answer A and word-of-mouth information i for each expert, and the like.

  Next, a first embodiment of a method for matching an expert and a prospective customer using the matching system will be described with reference to the drawings. FIG. 3 is a flowchart showing information exchange between the management center, experts, and prospective customers (third parties).

[Expert Data Registration Stage (S1)]
This stage is a stage in which an expert such as an architect or interior coordinator for the purpose of acquiring customers is asked to register expert data and is stored in a database.
An expert who wishes to mediate with a prospective customer registers the location and business range of the information processing apparatus in the management center and registers expert data.
The expert logs in to the information processing device in the management center using the ID and password given in advance via the Internet, and registers “location registration”, “business area registration”, “other expert data registration”. By selecting one of the displays, various inputs are performed according to the screen displayed thereafter.
“Registration of location” calls the map information m registered in advance in the map DB 21 by the information processing device 3 and transmits page data of a map of a predetermined area to the information terminal 5 of the expert, and the expert is displayed. This is done by designating the position of an expert (business establishment) on the map and storing the designated coordinates in the position DB 23.
“Registration of the sales range” is performed by inputting the number of kilometers in the radius from the location where the expert 2 is located, and the region designated as the sales range is the location DB 23 for each specialist. Is remembered.
“Registration of other expert data” means that an expert selects his / her industry category and registers it in the industry category DB 22, and obtains reference information r such as the specialty field, business performance, and appeal points of the expert. This is done by registering in the reference information DB 24.
These registration operations can be performed on the management center side on behalf of an expert.

[Expert List Display Stage (S2)]
This stage is a stage where the information processing apparatus 3 of the management center 1 primarily selects the expert 2 as a candidate based on the input of the prospective customer 4.
The prospective customer 4 who needs the advice of the expert 2 accesses the information processing device 3 of the management center 1 by inputting the URL into the Internet browser of the information terminal 7, and displays the homepage operated by the management center on the screen. Display. Thereafter, the prospective customer 4 selects the business category of the expert 2 and inputs his / her location. The industry category is selected by selecting from the displayed industry category list or by searching for an industry category by entering a keyword related to an item requiring advice if the industry category of the expert is unknown. . As for the input of the location, the information processing device 3 calls the map information m registered in advance in the map DB 21 to display a map of a predetermined area on the information terminal 7 of the prospective customer, and on the map on which the prospective customer is displayed. This is done by specifying the location of. The prospective customer 4 can also specify the location by inputting the address, telephone number or postal code.
The information processing apparatus 3 of the management center 1 that has received the input of the industry category selection by the prospective customer 4 extracts the experts 2 belonging to the category from the expert data. When a search for a business category by keyword is requested, the expert 2 belonging to the business category including the keyword is extracted from the expert data by concentrating search terms.
In addition, the information processing device 3 of the management center that has received the input of the location of the prospective customer 4 further narrows down the specialists 2 including the coordinates of the location in the sales range from the specialists extracted by specifying the industry category. Sort by.
Then, the information processing device 3 puts the location of each expert 2 narrowed down by inputting the industry category and the location of the prospective customer on the information terminal 7 of the prospective customer on the map near the prospective customer extracted from the map DB 21. Display in the form of an icon.

[Expert Data Output Stage (S3)]
This stage is a stage in which the prospective customer 4 secondarily selects an expert for further consultation from the experts 2 first selected in the expert list display stage S2.
The prospective customer 4 calls the expert data by clicking the icon on the map representing the location of the expert 2 displayed on the screen in the expert list display step S2. At this time, the information processing device 3 of the management center extracts information related to the expert associated with the designated icon from the reference information DB 24 and the communication DB 25 of the database server, and outputs the page data to the information terminal 7 of the prospective customer. Send. The prospect 4 is asked by referring to the reference information r of the displayed expert, the communication information that is the Q & A exchange between the preceding prospect and the expert, and the word-of-mouth information i described later. Make a secondary selection of experts.

[Question stage (S4)]
This stage is a stage in which questions are asked to the expert secondarily selected by the prospective customer 4 in the expert data output stage S3.
The prospective customer 4 inputs the question item Q in the question item entry column provided on the page on which the reference information r of the selected expert 2 is posted, and transmits this to the information processing device 3. The information processing apparatus 3 that has received the question item Q registers the question item Q in the communication DB 25, and transmits an e-mail to the specialist 2 indicating that there is a question from the prospective customer 4.

[Answer stage (S5)]
This stage is a stage where the expert 2 answers the question items of the prospective customer 4.
The expert 2 who has received an e-mail indicating that there is a question from the prospective customer 4 accesses the communication DB 25 of the information processing apparatus 3 using the ID and password, and inputs an answer A to the question item Q. This answer A is associated with the question item Q and registered in the communication DB 25.
The question Q of the prospective customer in the question stage S4 and the answer A of the expert in the answer stage S5 are registered and constitute a part of the expert data and disclosed to the third party 4 ′. Subsequent prospective customers can make a secondary selection of experts with reference to this.

[Other stages]
In addition, it is possible to register word-of-mouth information i such as opinions and evaluations regarding each expert at any time in the communication DB 25 for the purpose of disclosure.
A third party 4 ′ such as a person who has previously requested work from the expert or a person who has consulted can register word-of-mouth information i as an information provider. The word-of-mouth information i is registered on the page of reference information r of the expert by selecting an expert to write according to the same procedure as the expert list display stage S2 and the expert data output stage S3. This is performed by inputting the word-of-mouth information i in the word-of-mouth information posting column and transmitting it to the information processing apparatus 3 and registering it in the communication DB 25 by the information processing apparatus 3 that has received the word-of-mouth information.

  According to the above-described matching method between the expert and the prospective customer of the first embodiment, the prospective customer 4 can easily select candidates using the Internet 6 in consideration of the business category of the expert 2 and the business scope of the expert. You can search for experts. In addition, since the location of the expert 2 selected primarily is displayed on the map, the geographical situation (distance from the location of the prospective customer, etc.) can also be visually determined. Clicking on the icon on the map allows you to select an expert to ask questions using information about each expert (reference information, communication information, and word-of-mouth information). On the other hand, the expert 2 can receive questions from the prospective customer 2 who is interested in himself / herself within the business scope, so by responding to the questions individually and specifically according to the needs of the prospective customer You will be able to accept job orders with a high probability.

  In the second embodiment shown in FIG. 4, in the method for matching the expert and the prospective customer described in the first embodiment, the matching rate between the expert and the prospective customer is judged, and the information is provided to the prospective customer. In order to make reference for the secondary selection of the expert, a step of performing weighting for each sub-category of the field in the expert data registration stage (S1) and the expert list display stage (S2) of the first embodiment. It is added.

Each expert 2 assigns points to a field (fine classification) that has been finely classified in advance regarding the field of the industry in the “expert data registration” of the expert data registration stage (S1) of the first embodiment, Weighting Ws is performed for each fine classification. Here, the score is a score given in advance for each expert 2, and is determined by multiplying the number of years of experience as an expert by 10, for example.
As an example of first-class architects, subdivisions include subdivisions such as wooden construction, concrete construction, new construction, and renovation, as well as subdivisions for each part of the house such as living / dining, kitchen, bath / toilet / washroom. Yes, each first-class architect considers his / her weaknesses and performs weighting Ws by points within the range of points for the fine classification. For example, 20 points for wooden buildings, 5 points for concrete buildings, 10 points for new buildings, 5 points for renovations, 3 points for living and dining, 7 points for kitchens, baths, toilets and toilets. The subclasses that have not been assigned points are weighted with 0 points. The expert 2 can also perform weighting Ws with a negative score for a particular weak field. In this case, the expert can assign the absolute value of the minus points to the subcategories of other specialty fields. The score assigned to each subclass is recorded in the reference information DB 24 in association with the subclass.

  The prospective customer 4 inputs the industry category of the expert 2 and his / her location as in the expert list display stage (S2) of the first embodiment, and thereafter, information based on the designation of the industry category. Appropriate weight Wc (score) is input to the sub-category regarding the business type extracted by the processing device 3 and displayed on the screen of the information terminal of the prospective customer, and this is transmitted to the information processing device 3. This subcategory is the same as the subcategory that requires weighting for experts in the same industry category. In addition, instead of requesting the prospective customer 4 to input the weight by the score, it is possible to weight the fine classification by obtaining the check input to the check box prepared and displayed for each fine classification.

The score of the weight of the fine classification by the expert 2 and the weight of the weight of the fine classification by the input of the prospective customer 4 (or whether or not the check box is checked-1 point with check, 0 point without check) In addition, the information processing apparatus performs a calculation for adding the products for each sub-classification. If the combined value is large, it is determined that the matching rate between the expert 2 and the prospective customer 4 is high. If the combined value is small, it is determined that the matching rate is low. . Moreover, the information processing apparatus 3 shows the added numerical value on the map displayed on the screen of the information terminal 7 of the prospective customer in the expert list display stage (S2). The total numerical value (matching rate) is displayed by adding it to an icon on the map representing the location of the expert.
The prospect 4 selects an expert with reference to the expert icon displayed on the screen and the combined value added thereto, and refers to the expert reference information r, communication information, and word-of-mouth information i, Make a secondary selection of experts to consult.
Since the subsequent flow is the same as that in the first embodiment, detailed description thereof is omitted.

  According to the above-described matching method between the expert and the prospective customer of the second embodiment, in addition to the effects of the first embodiment, the prospective customer determines his / her request and the specialty field of the expert in the secondary selection of the specialist. Since the matching rate can be determined by a numerical value, it becomes possible to easily select an expert who is more appropriate for him. In particular, when an expert gives a negative weight to a field of weakness and gives more weight to the field of specialty, an expert specialized in the field of specialty is selected.

  In addition, the matching method of the expert and prospective customer of this invention uses the computer network represented by the internet, and matches the prospective customer who needs the advice of the expert and expert who aim at customer acquisition appropriately. The primary experts are selected in consideration of the industry category and sales range of the experts and the location of the prospective customer, and information on the expert selected for the prospective customer is presented and the secondary expert's After prompting the selection, the invention is not limited to the above-described embodiment as long as it is characterized in that a trust relationship is established by exchanging questions and answers between the expert and the prospective customer. Of course, various changes can be made without departing from the scope. For example, if a bidirectional TV or the like is used, the matching method of the present invention can be implemented using sound and images.

As described above, according to the matching method between the expert and the prospective customer of the present invention, for the prospective customer, the selection of the expert according to the request is considered in consideration of the business scope of the expert and the specialty field. It is possible to obtain effective and low-cost customers by receiving referrals from prospective customers who have selected themselves under specific conditions and responding to the questions individually and specifically. It becomes possible.
In addition, by subdividing the field of specialists and weighting the experts and prospective customers for each subcategory, it is possible to give weight to specialists introduced to prospective customers in the primary selection of experts. it can.

  The present invention mediates between specialists and prospective customers, and can be applied to many fields such as law-related, medical-related, and welfare-related in addition to housing. In particular, the matching method of the present invention also works effectively for specialists such as doctors and dentists who are restricted from aggressive advertising for business purposes.

1 is a drawing showing the overall configuration of a matching system used in the present invention. It is a block diagram which shows the structure of the information processing apparatus in 1st Example. It is the flowchart which showed transfer of the information of the management center of 1st Example, an expert, and a prospective customer (third party). It is the flowchart which showed transfer of the information of the management center of 2nd Example, an expert, and a prospective customer (third party).

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Management center 2 Expert 3 Information processing apparatus 4 Prospect customer 4 'Third party 5 Expert information terminal 6 Computer network (Internet)
7 Prospective customer, third party 4 'information terminal 9 Web server 10 Matching system 11 Database server s Expert data m Map information p Location data r Reference information i Word-of-mouth information Ws Weighting (points)
Wc Weight (point)
Q Question A Answer S1 Expert data registration stage S2 Expert list display stage S3 Expert data output stage S4 Question stage S5 Answer stage 21 Map DB
22 Industry Category DB
23 Position DB
24 Reference information DB
25 Communication DB

Claims (9)

This is a matching method between an expert and a prospective customer who uses a computer network (6) to introduce a prospective customer (4) who needs expert advice to an expert (2) who aims to acquire customers. And
For specialists, input expert data (s) such as the location of the expert, industry category, sales range, field of expertise, work results, appeal points, etc. and weighting each field of specialty of the expert data ( S1), an expert data registration step (S1) that prompts for input of (Ws) and stores this one by one;
Prompt customers are requested to enter the location of the prospective customer and the industry category of the expert, and to input the weight (Wc) for each subcategory of the field of expertise desired by the expert. The weight of each expert's specialty area that was first narrowed down to match the industry category and expert's industry category, and the weight of each specialty's specialty area that the prospect would like A list of specialists who have determined the rate, and a specialist list display step (S2) that prompts secondary selection of specialists;
An expert data output step (S3) for reading the expert data of the expert selected secondarily and outputting all or part of the expert data to the prospective customer;
A question stage (S4) that prompts the prospective customer to input a question (Q) that he / she wants to consult with an expert who has been selected
An answer stage (S5) in which a secondarily selected expert inputs an answer (A) to the questionnaire,
An expert who gains trust by answering a job will get a job request from a prospect.
Matching method between experts and prospective customers. In the expert data registration step (S1), a map of a predetermined area is displayed based on the map information (m) stored in advance for the expert (2), and the location of the expert on the map is displayed. And store the location and business range specified on the map in association with the input expert data (s),
In the expert list display step (S2), the prospective customer (4) is displayed with the narrowed-down location of the expert on the map, and prompts the user to select the location of the expert displayed on the map. The method for matching an expert and a prospective customer according to claim 1, wherein: The weight (Ws) for each fine classification of the specialty field of the expert data (s) and the weight (Wc) for each fine classification of the specialty field that the prospective customer (4) seeks from the expert (2) are respectively quantified. And
The narrowing down of experts in the expert list display step is performed by multiplying the weight value for each sub-category of the expert's specialty field by the weight value for each sub-category of the specialty field desired by the prospective customer. The expert and the prospective customer according to claim 2 , wherein it is performed by determining that the matching rate between the expert data and the prospective customer is higher as the total value of each specialty field becomes larger. Matching method. Claim experts (2) to give a predetermined have points, each expert performing weighting to allocate a score to subclassification of specialty within the該持Chi point (Ws), characterized in that 3. A method for matching the expert and the prospective customer as described in 3 . By assigning a negative weight (Ws) to a specific subcategory of the weak field, the expert (2) can increase a predetermined score for allocating to another subclass of the prominent field. The matching method of the expert and prospective customer of Claim 4 characterized by the above-mentioned. In the display of the location of the expert on the map in the expert list display step (S2), a numerical value, a symbol or a character indicating the level of the matching rate is added for each expert. A method for matching the expert and the prospective customer according to claim 2 . The question (Q) of the prospective customer (4) and the answer (A) of the expert (2) to the question are disclosed to the public in a state associated with the expert data (s) of the answering expert. The method for matching an expert and a prospective customer according to any one of claims 1 to 6 . Prompt customers (4) and / or third parties (4 ') are prompted to input word-of-mouth information (i) such as opinions and ratings regarding the expert (2), and the word-of-mouth information is collected from the expert data ( The method of matching experts and prospective customers according to claim 1 , wherein the method is disclosed to the public in association with s). The prospective customer (4) is a person who is considering the construction, renovation, interior change, etc. of the house, and the expert (2) is an architect, interior coordinator, DIY advisor, financial planner, tax accountant, etc. The method for matching an expert and a prospective customer according to claim 1, wherein:

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