Customer extraction device and customer extraction method

Abstract

To provide a customer extraction device and a customer extraction method which can create a database by which a customer with high possibility of business negotiation is found.SOLUTION: A processor 100 determines company's own building possibility of a building on the basis of a building company DB 122, and a company's own building possibility determination table 123 in which the company's own building possibility of the building based on whether or not a person's name is included in a building name, and whether or not the person's name is included in a company name is determined, and records a determination result in the building company DB 122. The processor 100 determines business negotiation possibility of a building facility of the company which owns the building on the basis of the building company DB 122 and a business negotiation possibility determination table 125 in which business negotiation possibility of the building facility in the company which owns the building based on a company scale and the company's own building possibility of the building is determined, and records a determination result in the building company DB 122.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present disclosure relates to a customer extraction device and a customer extraction method. [Background technology]

[0002] Devices that display customer information have been known for some time. For example, a device described in Patent Document 1 is configured to be able to display the name of the owner of land or building, the place name, and the building name on a map. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Patent Publication No. 2021-047400 Summary of the Invention [Problem to be solved by the invention]

[0004] In sales of building equipment, the products handled are expensive, so salespeople for building equipment can increase sales efficiency if they can directly approach the customer who makes the final decision from the beginning. By targeting customers who have a high probability of negotiating, salespeople for building equipment can efficiently conduct sales activities, but they cannot know whether a customer has a high probability of negotiating or not.

[0005] Therefore, an object of the present disclosure is to provide a customer extraction device and a customer extraction method that can create a database that identifies customers who are likely to negotiate. [Means for solving the problem]

[0006] The customer extraction device disclosed herein includes a memory that stores a database that defines, for each building, information about the building and information about the company that owns the building, a first table that defines the likelihood of the building being a company's own building based on whether the building name contains a person's name and whether the company name contains a person's name, and a second table that defines the likelihood of the company that owns the building negotiating building equipment based on the company's size and the likelihood of the building being a company's own building, and a processor that determines the likelihood of the building being a company's own building based on the first table and the database, records the determination result in the database, and determines the likelihood of the company that owns the building negotiating building equipment based on the second table and the database, and records the determination result in the database.

[0007] The customer extraction method disclosed herein includes a step in which a processor determines whether a building is a company's own building based on a database that defines, for each building, information about the building and the company that owns the building, and a first table that defines whether the building is a company's own building based on whether the building name contains a person's name and whether the company name contains a person's name, and records the determination result in the database; and a step in which the processor determines whether the company that owns the building is a company that can negotiate building facilities based on the database and a second table that defines the company's own building's possibility of negotiating building facilities based on the company's size and the building's possibility of being a company's own building, and records the determination result in the database. [Effects of the Invention]

[0008] According to the present disclosure, a database can be created that identifies customers who have a high probability of business negotiations. [Brief explanation of the drawings]

[0009] [Figure 1] FIG. 1 is a diagram illustrating a configuration of a customer extraction device according to an embodiment. [Figure 2] 1 is a flowchart showing a processing procedure of a customer extraction method according to an embodiment. [Figure 3] FIG. 10 is a diagram showing an example of a building company DB. [Figure 4]FIG. 10 is a diagram illustrating an example of a company determination table. [Figure 5] FIG. 10 is a diagram showing an example of a company building possibility determination table. [Figure 6] FIG. 10 is a diagram illustrating an example of a negotiation possibility determination table. DETAILED DESCRIPTION OF THE INVENTION

[0010] Hereinafter, embodiments will be described with reference to the drawings.

[0011] FIG. 1 is a diagram showing the configuration of a customer extraction device according to an embodiment.

[0012] The customer extraction device 200 includes a processor 100, a memory 104, an input device 101, and a display device 103, all connected to a bus .

[0013] The memory 104 includes a customer DB (Database) 121, a building company DB 122, a company size determination table 123, a negotiation possibility determination table 125, and an in-house building possibility determination table .

[0014] The customer DB 121 includes at least the following information for each building: "Building name," "Building address," and "Company name."

[0015] The building company DB 122 stores a building company DB, which defines, for each building, information about the building and information about the company that owns the building.

[0016] The company size determination table 123 determines the size of a company based on the type of business and the number of employees.

[0017] The company building possibility determination table 124 determines the possibility of a building being a company building based on the building person's name, building place name, company person's name, and company place name. The company building possibility of a building is the possibility that a company with a company name owns the building with a building name and is doing business in the building.

[0018] The negotiation possibility determination table 125 determines the possibility of a highly efficient negotiation customer based on the size of the company and the possibility of the building being the company's own building.

[0019] The input device 101 is configured by a keyboard, a mouse, etc. The input device 101 receives input from a user and outputs it to the processor 100.

[0020] The processor 100 accesses the web service to obtain the required information.

[0021] The processor 100 extracts a person's name from the building name and records the extracted person's name in the building company DB 122. The processor 100 extracts a person's name from the company name and records the extracted person's name in the building company DB 122. The processor 100 searches for the nearest station to the building from the building address and records the search results in the building company DB 122.

[0022] The processor 100 determines the size of the company that owns the building based on the company size determination table 123, and records the determination result in the building company DB 122.

[0023] The processor 100 determines whether the building is a company's own building based on the company's own building possibility determination table 124 and the building company DB 122, and records the determination result in the building company DB 122.

[0024] The processor 100 determines the possibility of negotiation for building equipment of the company that owns the building based on the negotiation possibility determination table 125 and the building company DB 122, and records the determination result in the building company DB 122.

[0025] The display device 103 displays a screen output from the processor 100 .

[0026] Fig. 2 is a flowchart showing the processing steps of the customer extraction method according to the embodiment, and Fig. 3 is a diagram showing an example of a building company DB.

[0027] In step S101, the processor 100 uses the information in the customer DB to record the "building name," "building address," and "company name" in the building / company DB (see A in FIG. 3).

[0028] In step S102, the processor 100 uses an internet search or a web service 102 such as a corporate service to search for the "nearest station name" of the "building address" and records the searched "nearest station name" in the building company DB (see B in Figure 3).

[0029] In step S103, the processor 100 performs named entity extraction on the "building name" in the building company DB, and if the "building name" contains a person's name, records the extracted person's name in the building company DB as a "building person's name" (see C in Figure 3).

[0030] In step S104, the processor 100 performs named entity extraction on the "building name" in the building company DB, and if the "building name" includes a place name, records the extracted place name as the "building place name" in the building company DB (see D in Figure 3).

[0031] In step S105, the processor 100 performs named entity extraction on the "company name" in the building company DB, and if the "company name" contains a person's name, records the extracted person's name in the building company DB as a "company person's name" (see E in Figure 3).

[0032] In step S106, the processor 100 performs named entity extraction on the "company name" in the building company DB, and if the "company name" includes a place name, records the extracted place name as the "company place name" in the building company DB (see F in Figure 3).

[0033] In step S107, the processor 100 uses a web service 102 such as a company data provider site to search for the "industry" and "number of employees" of the company with the "company name" in the building company DB, and records the searched "industry" and "number of employees" in the building company DB (see G in Figure 3).

[0034] In step S108, the processor 100 uses the company size determination table to identify the "company size" from the "industry type" and "number of employees" in the building company DB, and records the identified "company size" in the building company DB (see H in Figure 3).

[0035] Fig. 4 is a diagram showing an example of a company determination table. In Fig. 4, for example, when the "industry" is "real estate," the "company size" is defined as "large," "medium," or "small" for "number of employees" of "300 or more," "50 to less than 300," and "less than 50," respectively. When the "industry" is "manufacturing," the "company size" is defined as "large," "medium," or "small" for "number of employees" of "1,000 or more," "100 to less than 1,000," and "less than 100," respectively.

[0036] In step S109, the processor 100 uses the company-owned building possibility determination table to determine the "possibility of the building being the company-owned building" of the company with the "company name" in the building company DB from the "building person's name," "building place name," "nearest station name," "company person's name," and "company place name" in the building company DB, and records the determined "possibility of the building being the company-owned building" in the building company DB (see I in Figure 3).

[0037] FIG. 5 is a diagram showing an example of a company building possibility determination table.

[0038] If the "building name" includes a "person's name" but does not include a "place name" or the "name of the nearest station," and the "company name" includes a "person's name" but does not include a "place name," the "likelihood of the building being a company-owned building" is determined to be "high" (meaning highly likely).

[0039] If the "building name" includes a "person's name" but does not include a "place name" or the "nearest station name," and the "company name" does not include a "person's name," the "possibility of the building being a company building" is determined to be "medium" (meaning about medium).

[0040] If the "building name" does not include a "person's name" and the "company name" includes a "person's name" but does not include a "place name," the "likelihood of the building being a company-owned building" is determined to be "medium."

[0041] If the "building name" includes a "person's name" and includes both or either a "place name" and the "name of the nearest station," and the "company name" includes a "person's name" but does not include a "place name," the "possibility of the building being a company-owned building" is determined to be "medium."

[0042] If the "building name" includes a "person's name" but does not include a "place name" or the "name of the nearest station," and the "company name" includes a "person's name" and a "place name," the "likelihood of the building being a company-owned building" is determined to be "medium."

[0043] If the "building name" does not include a "person's name" and the "company name" does not include a "person's name," the "likelihood of the building being a company building" is determined to be "low" (meaning low).

[0044] In step S110, the processor 100 uses the negotiation possibility determination table to determine the "possibility of a customer for highly efficient negotiations" of the company with the "company name" in the building company DB based on the "company size determination" and "possibility of the building being a company's own building" in the building company DB, and records the determined "possibility of a customer for highly efficient negotiations" in the building company DB (see J in Figure 3).

[0045] FIG. 6 is a diagram illustrating an example of a negotiation possibility determination table.

[0046] When the "company size" is "small," the "likelihood of building being in-house" is set to "high," "medium," and "low," while the "likelihood of customer with high-efficiency negotiations" is set to "high," "medium," and "low," respectively. The reason for this setting is that in small companies, the person who approves the customer's decision is often also in charge of facilities, and it is assumed that sales efficiency is high.

[0047] When the company size is "medium," the "possibility of building being the company's own building" is set to "high," "medium," or "low," while the "possibility of being a customer for highly efficient business negotiations" is set to "medium," "low," or "low," respectively.

[0048] When the "company size" is "large," the "likelihood of the building being owned" is set to "high," "medium," and "low," while the "likelihood of the customer being a highly efficient business negotiation" is set to "low," "low," and "low," respectively. The reason for this is that in large companies, the person in charge of the customer's facilities is often not the person who makes the decision, and it is assumed that sales efficiency is low.

[0049] The display device 103 displays a screen of the building company DB created in steps S101 to S110.

[0050] As described above, according to this embodiment, by using natural language processing, it is possible to create a database that identifies customers who have a high probability of making a sale. As a result, the sales efficiency of building equipment sales representatives is improved.

[0051] The above-described embodiment is a specific example of the following additional notes.

[0052] (Appendix 1) a database that defines, for each building, information about the building and information about the company that owns the building; a first table that defines the possibility of the building being a company's own building based on whether or not the building name contains a person's name and whether or not the company name contains a person's name; and a memory that stores a second table that defines the possibility of negotiations for building equipment at the company that owns the building based on the company's size and A customer extraction device comprising: a processor that determines whether the building is a company's own building based on the first table and the database, records the determination result in the database, and determines whether the company that owns the building is able to negotiate for building facilities based on the second table and the database, and records the determination result in the database.

[0053] (Appendix 2) The possibility of a building being a privately owned building is determined as high, medium, or low. The first table comprises: If the building name includes a person's name but does not include the name of a place or the nearest station, and the company name includes a person's name but does not include the name of a place, it is determined that the building is likely to be a company-owned building. If the building name includes a person's name but does not include the name of a place or the nearest station, and the company name does not include a person's name, the possibility that the building is a company-owned building is medium. If the building name does not include a person's name, and the company name includes a person's name but does not include a place name, the possibility that the building is a company building is medium, If the building name includes a person's name and both or either the place name and the nearest station name, and the company name includes a person's name but does not include the place name, the possibility that the building is a company-owned building is medium. If the building name includes a person's name but does not include a place name or the name of the nearest station, and the company name includes a person's name and a place name, the possibility that the building is a company-owned building is medium. A customer extraction device as described in Appendix 1, which determines that if the building name does not include a person's name and the company name does not include a person's name, the building is unlikely to be a company-owned building.

[0054] (Appendix 3) The size of the company is defined as one of small, medium, and large; The possibility of negotiations for building facilities for companies that own buildings is determined as either high, medium, or low. The second table defines that when the company is small and the building is highly likely to be a company-owned building, there is a high possibility that the company owning the building will be involved in a business negotiation for building facilities; If the company is small and the possibility of the building being a company-owned building is medium, the possibility of negotiations for building equipment with the company that owns the building is determined to be medium; A customer extraction device as described in Appendix 2, which determines that if the company is small and the possibility of the building being a company-owned building is low, the company that owns the building is unlikely to negotiate about building facilities.

[0055] (Appendix 4) The second table defines that when the company size is medium and there is a high possibility that the building is a company-owned building, the possibility of negotiations regarding building facilities of the company that owns the building is medium; If the company size is medium and the possibility of the building being a company-owned building is medium, it is determined that the company that owns the building has a low possibility of negotiating building facilities; A customer extraction device as described in Appendix 3, which determines that if the company size is medium and the possibility of the building being a company-owned building is low, the company that owns the building is unlikely to negotiate about building facilities.

[0056] (Appendix 5) The customer extraction device according to claim 4, wherein the second table defines that when the company size is large, the possibility of negotiations regarding building facilities of the company that owns the building is low, regardless of whether the building is the company's own building.

[0057] (Appendix 6) 6. The customer extraction device according to any one of appendices 1 to 5, wherein the processor extracts a person's name from a building name and records the extracted person's name in the database.

[0058] (Appendix 7) 7. The customer extraction device according to any one of appendices 1 to 6, wherein the processor extracts personal names from company names and records the extracted personal names in the database.

[0059] (Appendix 8) 8. The customer extraction device according to any one of appendices 1 to 7, wherein the processor searches for the nearest station to the building from the building address and records the search results in the database.

[0060] (Appendix 9) the memory stores a third table that defines company size based on the type of business and the number of employees of the company; 9. The customer extraction device according to any one of appendices 1 to 8, wherein the processor determines the size of the company that owns the building based on the third table, and records the determination result in the database.

[0061] (Appendix 10) A step in which a processor determines whether a building is a company's own building based on a database that defines, for each building, information about the building and information about the company that owns the building, and a first table that defines whether a building is a company's own building based on whether a person's name is included in the building name and whether a person's name is included in the company name, and records the determination result in the database; A customer extraction method comprising the steps of: the processor determining the possibility of negotiating building equipment for a company that owns a building based on the database and a second table that defines the possibility of negotiating building equipment for a company that owns a building based on the company's size and the possibility of the building being its own building; and recording the determination result in the database.

[0062] The embodiments disclosed herein should be considered to be illustrative in all respects and not restrictive. The scope of the present invention is defined by the claims, not by the above description, and is intended to include all modifications within the meaning and scope of the claims. [Explanation of symbols]

[0063] 100 Processor, 101 Input device, 102 Web service, 103 Display device, 104 Memory, 121 Customer DB, 122 Building company DB, 123 Company size determination table, 124 Company building possibility determination table, 125 Business negotiation possibility determination table, 200 Customer extraction device, 106 Bus.

Claims

1. a database that defines, for each building, building information including the building name and building address, and company information including the company name, industry, and number of employees of the company that owns the building; a first table that defines the possibility of the building being a company's own building based on whether or not the building name contains a person's name and whether or not the company name contains a person's name; and a memory that stores a second table that defines the possibility of the company that owns the building negotiating building equipment based on the company's size and the possibility of the building being a company's own building. A customer extraction device comprising: a processor that determines whether the building is a company's own building based on the first table and the database, records the determination result in the database, and determines whether the company that owns the building is able to negotiate for building facilities based on the second table and the database, and records the determination result in the database.

2. The possibility of a building being a privately owned building is determined as high, medium, or low. The first table comprises: If the building name includes a person's name but does not include a place name or the name of the nearest station, and the company name includes a person's name but does not include a place name, it is determined that the building is highly likely to be a company-owned building; If the building name includes a person's name but does not include a place name or the name of the nearest station, and the company name does not include a person's name, the possibility that the building is a company-owned building is medium. If the building name does not include a person's name, and the company name includes a person's name but does not include a place name, the possibility that the building is a company building is medium, If the building name includes a person's name and both or either of a place name and the name of the nearest station, and the company name includes a person's name but does not include a place name, the possibility that the building is a company-owned building is medium. If the building name includes a person's name but does not include a place name or the name of the nearest station, and the company name includes a person's name and a place name, the possibility that the building is a company-owned building is medium.

2. The customer extraction device according to claim 1, wherein if the building name does not include a person's name and the company name does not include a person's name, it is determined that the building is unlikely to be the company's own building.

3. The company size is defined as one of small, medium, and large; The possibility of negotiations for building facilities for the company that owns the building is determined as either high, medium, or low. The second table defines that when the company is small and the building is highly likely to be a company-owned building, there is a high possibility that the company that owns the building will be involved in a business negotiation regarding building facilities; If the company is small and the possibility of the building being a company-owned building is medium, the possibility of negotiations for building equipment with the company that owns the building is determined to be medium; 3. The customer extraction device according to claim 2, wherein when the company is small and the possibility of the building being a company-owned building is low, it is determined that the company owning the building is unlikely to negotiate about building facilities.

4. The second table defines that when the company size is medium and there is a high possibility that the building is a company-owned building, the possibility of negotiations regarding building facilities of the company that owns the building is medium; If the company size is medium and the possibility of the building being a company-owned building is medium, it is determined that the company that owns the building has a low possibility of negotiating building facilities; 4. The customer extraction device according to claim 3, wherein when the company size is medium and the possibility of the building being a company-owned building is low, it is determined that the company that owns the building is unlikely to negotiate about building facilities.

5. 5. The customer extraction device according to claim 4, wherein said second table defines that when the company is large, the possibility of negotiations regarding building facilities of the company that owns the building is low regardless of whether the building is a company-owned building.

6. 2. The customer extraction device according to claim 1, wherein the processor extracts a person's name from the building name and records the extracted person's name in the database.

7. 2. The customer extraction device according to claim 1, wherein the processor extracts personal names from the company names and records the extracted personal names in the database.

8. 2. The customer extraction device according to claim 1, wherein the processor searches for the nearest station to the building from the building address and records the search results in the database.

9. the memory stores a third table that defines company size based on the type of business and the number of employees of the company; 2. The customer extraction device according to claim 1, wherein the processor determines the size of the company that owns the building based on the third table, and records the determination result in the database.

10. a processor determining whether a building is a company's own building based on a database that defines, for each building, building information including the building name and building address, and company information including the company name, industry, and number of employees of the company that owns the building, and a first table that defines whether a building is a company's own building based on whether a person's name is included in the building name and whether a person's name is included in the company name, and recording the determination result in the database; A customer extraction method comprising a step in which the processor determines the possibility of negotiating building equipment for a company that owns a building based on the database and a second table that defines the possibility of negotiating building equipment for a company that owns a building based on the company's size and the possibility of the building being its own building, and records the determination result in the database.

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