JP7750892B2 - Customer extraction device and customer extraction method - Google Patents
Customer extraction device and customer extraction methodInfo
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Description
本開示は、顧客抽出装置、および顧客抽出方法に関する。 This disclosure relates to a customer extraction device and a customer extraction method.
従来から、顧客情報を表示する装置が知られている。たとえば、特許文献１に記載の装置は、土地または建物の所有者の氏名、地名、および建物名を地図上に表示可能に構成されている。 Devices that display customer information have been known for some time. For example, the device described in Patent Document 1 is configured to display the name of the land or building owner, the place name, and the building name on a map.
建物設備の営業では、取り扱う商品が高額であるため、建物設備の営業担当者は、顧客の最終決済者に、最初から直接アプローチできると営業効率が高くなる。建物設備の営業担当者は、商談可能性が高い顧客をターゲットとすることによって、効率よく営業活動が進められるが、顧客が商談可能性が高い顧客かどうかを知ることができない。 In sales of building equipment, the products handled are expensive, so building equipment sales representatives can increase their sales efficiency if they can directly approach the customer who makes the final purchase from the beginning. By targeting customers who are likely to have a sales negotiation, building equipment sales representatives can conduct sales activities efficiently, but they cannot know whether a customer is likely to have a sales negotiation or not.
それゆえに、本開示の目的は、商談可能性が高い顧客がわかるデータベースを作成することができる顧客抽出装置および顧客抽出方法を提供することである。 Therefore, the object of this 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 engage in business negotiations.
本開示の顧客抽出装置は、建物ごとに、建物の情報と、建物を所有する企業の情報とを定めたデータベースと、建物名称に人名が含まれているか否か、および企業名称に人名が含まれているか否かに基づく、建物の自社ビル可能性を定めた第１のテーブルと、企業規模および建物の自社ビル可能性に基づく、建物を所有する企業における建物設備の商談可能性を定めた第２のテーブルを記憶するメモリと、第１のテーブルとデータベースとに基づいて、建物の自社ビル可能性を判定し、判定結果をデータベースに記録し、第２のテーブルとデータベースとに基づいて、建物を所有する企業の建物設備の商談可能性を判定し、判定結果をデータベースに記録するプロセッサと、を備える。 The customer extraction device disclosed herein comprises a memory that stores a database that defines, for each building, information about the building and the company that owns the building; a first table that defines the likelihood of the building being a company-owned 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 facilities based on the company's size and the likelihood of the building being a company-owned building; and a processor that determines the likelihood of the building being a company-owned 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 facilities based on the second table and the database, and records the determination result in the database.
本開示の顧客抽出方法は、プロセッサが、建物ごとに、建物の情報と、建物を所有する企業の情報とを定めたデータベースと、建物名称に人名が含まれているか否か、および企業名称に人名が含まれているか否かに基づく、建物の自社ビル可能性を定めた第１のテーブルとに基づいて、建物の自社ビル可能性を判定し、判定結果をデータベースに記録するステップと、プロセッサが、データベースと、企業規模および建物の自社ビル可能性に基づく、建物を所有する企業における建物設備の商談可能性を定めた第２のテーブルとに基づいて、建物を所有する企業の建物設備の商談可能性を判定し、判定結果をデータベースに記録するステップと、を備える。 The customer extraction method disclosed herein includes the steps of: a processor determining, for each building, whether a building is a company's own building based on a database that defines 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 recording the determination result in the database; and a processor determining, based on the database and a second table that defines the company's own building's own building's possibility of negotiating building equipment based on the company's size and the building's possibility of negotiating building equipment, and recording the determination result in the database.
本開示によれば、商談可能性が高い顧客がわかるデータベースを作成することができる。 This disclosure makes it possible to create a database that identifies customers with a high probability of business negotiations.
以下、実施の形態について、図面を参照して説明する。 The following describes the embodiments with reference to the drawings.
図１は、実施の形態の顧客抽出装置の構成を表わす図である。 Figure 1 shows the configuration of a customer extraction device according to an embodiment.
顧客抽出装置２００は、バス１０６に接続されたプロセッサ１００と、メモリ１０４と、入力装置１０１と、表示装置１０３とを備える。 The customer extraction device 200 comprises a processor 100 connected to a bus 106, a memory 104, an input device 101, and a display device 103.
メモリ１０４は、顧客ＤＢ（Database)１２１と、建物企業ＤＢ１２２と、企業規模判定テーブル１２３と、商談可能性判定テーブル１２５と、自社ビル可能性判定テーブル１２４と、を備える。 The memory 104 includes a customer database (DB) 121, a building company DB 122, a company size determination table 123, a negotiation possibility determination table 125, and a company building possibility determination table 124.
顧客ＤＢ１２１は、建物ごとに、少なくとも「建物名称、「建物住所」、および「企業名称」の情報からなる。 Customer DB121 contains at least the following information for each building: building name, building address, and company name.
建物企業ＤＢ１２２は、建物企業ＤＢを記憶する。建物企業ＤＢは、建物ごとに、建物の情報と、建物を所有する企業の情報とを定める。 Building company DB122 stores the building company DB. For each building, the building company DB defines building information and information about the company that owns the building.
企業規模判定テーブル１２３は、業種と従業員とに基づいて、企業規模を定める。 The company size determination table 123 determines company size based on industry and number of employees.
自社ビル可能性判定テーブル１２４は、建物人名、建物地名、企業人名、企業地名とに基づいて、建物の自社ビル可能性を定める。建物の自社ビル可能性は、企業名称の企業が、建物名称の建物を所有し、かつ業務を行っている可能性である。 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 possibility of a building being a company building is the possibility that a company with a company name owns and is doing business in the building with a building name.
商談可能性判定テーブル１２５は、企業規模と建物の自社ビル可能性とに基づいて、高効率商談顧客の可能性を定める。 The negotiation possibility determination table 125 determines the possibility of a highly efficient negotiation customer based on the company size and the possibility that the building is a company-owned building.
入力装置１０１は、キーボードまたはマウスなどによって構成される。入力装置１０１は、ユーザからの入力を受け付けて、プロセッサ１００へ出力する。 The input device 101 is composed of a keyboard, a mouse, or the like. The input device 101 accepts input from the user and outputs it to the processor 100.
プロセッサ１００は、Ｗｅｂサービスにアクセスして、必要な情報を取得する。 The processor 100 accesses the web service to obtain the necessary information.
プロセッサ１００は、建物名称から人名を抽出して、抽出した人名を建物企業ＤＢ１２２に記録する。プロセッサ１００は、企業名称から人名を抽出し、抽出した人名を建物企業ＤＢ１２２に記録する。プロセッサ１００は、建物住所から、建物の最寄駅を検索し、検索結果を建物企業ＤＢ１２２に記録する。 Processor 100 extracts personal names from building names and records the extracted personal names in building company DB 122. Processor 100 extracts personal names from company names and records the extracted personal names in building company DB 122. Processor 100 searches for the nearest station to the building from the building address and records the search results in building company DB 122.
プロセッサ１００は、企業規模判定テーブル１２３に基づいて、建物を所有する企業の企業規模を判定し、判定結果を建物企業ＤＢ１２２に記録する。 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.
プロセッサ１００は、自社ビル可能性判定テーブル１２４と建物企業ＤＢ１２２とに基づいて、建物の自社ビル可能性を判定し、判定結果を建物企業ＤＢ１２２に記録する。 The processor 100 determines whether a 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.
プロセッサ１００は、商談可能性判定テーブル１２５と建物企業ＤＢ１２２とに基づいて、建物を所有する企業の建物設備の商談可能性を判定し、判定結果を建物企業ＤＢ１２２に記録する。 The processor 100 determines the possibility of negotiations 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.
表示装置１０３は、プロセッサ１００から出力される画面を表示する。 The display device 103 displays the screen output from the processor 100.
図２は、実施の形態の顧客抽出方法の処理手順を表わすフローチャートである。図３は、建物企業ＤＢの例を表わす図である。 Figure 2 is a flowchart showing the processing steps of the customer extraction method of the embodiment. Figure 3 is a diagram showing an example of a building company DB.
ステップＳ１０１において、プロセッサ１００は、顧客ＤＢの情報を用いて、「建物名称」、「建物住所」、「企業名称」を建物企業ＤＢに記録する（図３のＡを参照）。 In step S101, the processor 100 uses information from the customer DB to record the "building name," "building address," and "company name" in the building/company DB (see A in Figure 3).
ステップＳ１０２において、プロセッサ１００は、インターネット検索、または法人向けサービスなどのＷｅｂサービス１０２を利用して、「建物住所」の「最寄駅名」を検索して、検索した「最寄駅名」を建物企業ＤＢに記録する（図３のＢを参照）。 In step S102, the processor 100 searches for the "nearest station name" of the "building address" using a web service 102, such as an internet search or a corporate service, and records the searched "nearest station name" in the building company DB (see B in Figure 3).
ステップＳ１０３において、プロセッサ１００は、建物企業ＤＢの「建物名称」に対して、固有表現抽出を行い、「建物名称」に人名が含まれている場合は、抽出した人名を「建物人名」として、建物企業ＤＢに記録する（図３のＣを参照）。 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, it records the extracted person's name in the building company DB as a "Building Person's Name" (see C in Figure 3).
ステップＳ１０４において、プロセッサ１００は、建物企業ＤＢの「建物名称」に対して、固有表現抽出を行い、「建物名称」に地名が含まれている場合は、抽出した地名を「建物地名」として建物企業ＤＢに記録する（図３のＤを参照）。 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, it records the extracted place name as the "building place name" in the building company DB (see D in Figure 3).
ステップＳ１０５において、プロセッサ１００は、建物企業ＤＢの「企業名称」に対して、固有表現抽出を行い、「企業名称」に人名が含まれている場合は、抽出した人名を「企業人名」として、建物企業ＤＢに記録する（図３のＥを参照）。 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, it records the extracted person's name in the building company DB as a "company person's name" (see E in Figure 3).
ステップＳ１０６において、プロセッサ１００は、建物企業ＤＢの「企業名称」に対して、固有表現抽出を行い、「企業名称」に地名が含まれている場合は、抽出した地名を「企業地名」として、建物企業ＤＢに記録する（図３のＦを参照）。 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, it records the extracted place name as the "company place name" in the building/company DB (see F in Figure 3).
ステップＳ１０７において、プロセッサ１００は、企業データ提供サイトなどのＷｅｂサービス１０２を利用して、建物企業ＤＢの「企業名称」の企業の「業種」、および「従業員数」を検索して、検索した「業種」、および「従業員数」を建物企業ＤＢに記録する（図３のＧを参照）。 In step S107, the processor 100 uses a web service 102, such as a company data provider site, to search the building company DB for the "industry" and "number of employees" of the company with the "company name," and records the searched "industry" and "number of employees" in the building company DB (see G in Figure 3).
ステップＳ１０８において、プロセッサ１００は、企業規模判定テーブルを用いて、建物企業ＤＢの「業種」および「従業員数」から、「企業規模」を特定して、特定した「企業規模」を建物企業ＤＢに記録する（図３のＨを参照）。 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).
図４は、企業判定テーブルの例を表わす図である。図４では、たとえば、「業種」が「不動産」の場合には、「従業員数」が「３００人以上」、「５０人以上３００人未満」、「５０人未満」に対して、それぞれ、「企業規模」が「大規模」、「中規模」、「小規模」と定められている。「業種」が「製造業」の場合には、「従業員数」が「１０００人以上」、「１００人以上１０００人未満」、「１００人未満」に対して、それぞれ、「企業規模」が「大規模」、「中規模」、「小規模」と定められている。 Figure 4 shows an example of a company determination table. In Figure 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.
ステップＳ１０９において、プロセッサ１００は、自社ビル可能性判定テーブルを用いて、建物企業ＤＢの「建物人名」、「建物地名、「最寄駅名」、「企業人名」、および「企業地名」から、建物企業ＤＢの「企業名称」の企業の「建物の自社ビル可能性」を判定して、判定した「建物の自社ビル可能性」を建物企業ＤＢに記録する（図３のＩを参照）。 In step S109, the processor 100 uses the company building possibility determination table to determine the "possibility of the building being a company building" of the company with the "company name" in the building company DB from the "building person name," "building place name," "nearest station name," "company person name," and "company place name" in the building company DB, and records the determined "possibility of the building being a company building" in the building company DB (see I in Figure 3).
図５は、自社ビル可能性判定テーブルの例を表わす図である。 Figure 5 shows an example of a company building possibility determination table.
「建物名称」が「人名」を含み、かつ「地名」および「最寄駅名」を含まず、「企業名称」が「人名」を含み、かつ「地名」を含まない場合には、「建物の自社ビル可能性」が「高」（高いという意味）と定められる。 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" 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).
「建物名称」が「人名」を含み、かつ「地名」および「最寄駅名」を含まず、「企業名称」が「人名」を含まない場合には、「建物の自社ビル可能性」が「中」（中くらいという意味）と定められる。 If the "Building Name" includes a "Person's Name" but does not include a "Place Name" or "Nearest Station Name," and the "Company Name" does not include a "Person's Name," the "Possibility of the Building Being a Company-Owned Building" is determined to be "Medium" (meaning about medium).
「建物名称」が「人名」を含まず、「企業名称」が「人名」を含み、かつ「地名」を含まない場合には、「建物の自社ビル可能性」が「中」と定められる。 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 of the Building being a Company-Owned Building" is determined to be "Medium."
「建物名称」が「人名」を含み、かつ「地名」および「最寄駅名」の両方または一方を含み、「企業名称」が「人名」を含み、かつ「地名」を含まない場合には、「建物の自社ビル可能性」が「中と定められる。 If the "building name" includes a "person's name" and both or either a "place name" and the "nearest station 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."
「建物名称」が「人名」を含み、かつ「地名」および「最寄駅名」を含まず、「企業名称」が「人名」を含み、かつ「地名」を含む場合には、「建物の自社ビル可能性」が「中」と定められる。 If the "Building Name" includes a "Person's Name" but does not include a "Place Name" or "Nearest Station Name," and the "Company Name" includes a "Person's Name" and a "Place Name," the "Probability of the Building Being a Company-Owned Building" is determined to be "Medium."
「建物名称」が「人名」を含まず、「企業名称」が「人名」を含まない場合には、「建物の自社ビル可能性」が「低」（低いという意味）と定められる。 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).
ステップＳ１１０において、プロセッサ１００は、商談可能性判定テーブルを用いて、建物企業ＤＢの「企業規模判定」、および「建物の自社ビル可能性」から、建物企業ＤＢの「企業名称」の企業の「高効率商談顧客可能性」を判定し、判定した「高効率商談顧客可能性」を建物企業ＤＢに記録する（図３のＪを参照）。 In step S110, the processor 100 uses the negotiation possibility determination table to determine the "possibility of a highly efficient negotiation customer" of the company identified by the "company name" in the building company DB based on the "company size determination" and "possibility of the building being an in-house building" in the building company DB, and records the determined "possibility of a highly efficient negotiation customer" in the building company DB (see J in Figure 3).
図６は、商談可能性判定テーブルの例を表わす図である。 Figure 6 shows an example of a negotiation possibility determination table.
「企業規模」が「小規模」の場合、「建物の自社ビル可能性」が「高」、「中」、「低」に対して、「高効率商談顧客可能性」が、それぞれ「高」、「中」、「低」に定められている。このように定めた理由は、小企業は、顧客の決裁者が設備担当を兼務している場合が多く、営業効率が良いと推定されるためである。 When the "company size" is "small," the "likelihood of building being owned" is set to "high," "medium," or "low," while the "likelihood of a highly efficient customer" is set to "high," "medium," or "low," respectively. The reason for this is that in small companies, the client's decision maker often also serves as the facility manager, and it is assumed that sales efficiency is high.
「企業規模が「中規模」の場合、「建物の自社ビル可能性」が「高」、「中」、「低」に対して、「高効率商談顧客可能性」が、それぞれ「中」、「低」、「低」に定められている。 When the company size is "medium," the "possibility of building the building in-house" is set to "high," "medium," or "low," while the "possibility of a highly efficient business negotiation customer" is set to "medium," "low," or "low," respectively.
「企業規模」が「大規模」の場合、「建物の自社ビル可能性」が「高」、「中」、「低」に対して、「高効率商談顧客可能性」が、それぞれ「低」、「低」、「低」に定められている。このように定めた理由は、大企業は、顧客の設備担当者は、決裁者ではない場合が多く、営業効率が悪いと推定されるためである。 When the "company size" is "large," the "likelihood of the building being owned" is set to "high," "medium," or "low," while the "likelihood of the customer being a highly efficient business partner" is set to "low," "low," or "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 decisions, and it is assumed that sales efficiency is low.
表示装置１０３には、ステップＳ１０１～Ｓ１１０によって、作成された建物企業ＤＢの画面が表示される。 The display device 103 displays the screen of the building company DB created in steps S101 to S110.
以上のように、本実施の形態によれば、自然言語処理を用いることによって、商談可能性が高い顧客がわかるデータベースを作成することができる。その結果、建物設備の営業担当者の営業効率が高くなる。 As described above, according to this embodiment, by using natural language processing, it is possible to create a database that identifies customers with a high probability of business negotiations. As a result, the sales efficiency of building equipment sales representatives is improved.
上述した実施形態は、以下の付記の具体例である。 The above-described embodiment is a specific example of the following additional notes:
（付記１）
建物ごとに、建物の情報と、建物を所有する企業の情報とを定めたデータベースと、建物名称に人名が含まれているか否か、および企業名称に人名が含まれているか否かに基づく、建物の自社ビル可能性を定めた第１のテーブルと、企業規模およびに基づく、建物を所有する企業における建物設備の商談可能性を定めた第２のテーブルを記憶するメモリと、
前記第１のテーブルと前記データベースとに基づいて、建物の自社ビル可能性を判定し、判定結果を前記データベースに記録し、前記第２のテーブルと前記データベースとに基づいて、建物を所有する企業の建物設備の商談可能性を判定し、判定結果を前記データベースに記録するプロセッサと、を備えた顧客抽出装置。
(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 the company that owns the building negotiating building equipment 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.
（付記２）
建物の自社ビル可能性は、高い、中、低いのうちのいずれか１つに定められ、
前記第１のテーブルは、
建物名称が人名を含み、かつ地名および最寄駅名を含まず、企業名称が人名を含み、かつ地名を含まない場合には、建物の自社ビル可能性が高いと定め、
建物名称が人名を含み、かつ地名および最寄駅名を含まず、企業名称が人名を含まない場合には、建物の自社ビル可能性が中と定め、
建物名称が人名を含まず、企業名称が人名を含み、かつ地名を含まない場合には、建物の自社ビル可能性が中と定め、
建物名称が人名を含み、かつ地名および最寄駅名の両方または一方を含み、企業名称が人名を含み、かつ地名を含まない場合には、建物の自社ビル可能性が中と定め、
建物名称が人名を含み、かつ地名および最寄駅名を含まず、企業名称が人名を含み、かつ地名を含む場合には、建物の自社ビル可能性が中と定め、
建物名称が人名を含まず、企業名称が人名を含まない場合には、建物の自社ビル可能性が低いと定める、付記１記載の顧客抽出装置。
(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.
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.
（付記３）
前記企業規模は、小、中、および大のうちのいずれか１つに定められ、
建物を所有する企業の建物設備の商談可能性は、高い、中、低いのうちのいずれか１つに定められ、
前記第２のテーブルは、前記企業規模が小で、かつ前記建物の自社ビル可能性が高い場合に、建物を所有する企業の建物設備の商談可能性が高いと定め、
前記企業規模が小で、かつ前記建物の自社ビル可能性が中の場合に、建物を所有する企業の建物設備の商談可能性が中と定め、
前記企業規模が小で、かつ前記建物の自社ビル可能性が低い場合に、建物を所有する企業の建物設備の商談可能性が低いと定める、付記２記載の顧客抽出装置。
(Appendix 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 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 possibility of negotiations regarding building facilities for the company that owns the building is low.
（付記４）
前記第２のテーブルは、前記企業規模が中で、かつ前記建物の自社ビル可能性が高い場合に、建物を所有する企業の建物設備の商談可能性が中と定め、
前記企業規模が中で、かつ前記建物の自社ビル可能性が中の場合に、建物を所有する企業の建物設備の商談可能性が低いと定め、
前記企業規模が中で、かつ前記建物の自社ビル可能性が低い場合に、建物を所有する企業の建物設備の商談可能性が低いと定める、付記３記載の顧客抽出装置。
(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.
（付記５）
前記第２のテーブルは、前記企業規模が大の場合、前記建物の自社ビル可能性に係わらず、建物を所有する企業の建物設備の商談可能性が低いと定める、付記４記載の顧客抽出装置。
(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.
（付記６）
前記プロセッサは、建物名称から人名を抽出して、抽出した人名を前記データベースに記録する、付記１～５のいずれか１項に記載の顧客抽出装置。
(Appendix 6)
The customer extraction device according to any one of appendices 1 to 5, wherein the processor extracts personal names from building names and records the extracted personal names in the database.
（付記７）
前記プロセッサは、企業名称から人名を抽出し、抽出した人名を前記データベースに記録する、付記１～６のいずれか１項に記載の顧客抽出装置。
(Appendix 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.
（付記８）
前記プロセッサは、建物住所から、建物の最寄駅を検索し、検索結果を前記データベースに記録する、付記１～７のいずれか１項に記載の顧客抽出装置。
(Appendix 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.
（付記９）
前記メモリは、企業の業種、および従業員数に基づく、企業規模を定めた第３のテーブルを記憶し、
前記プロセッサは、前記第３のテーブルに基づいて、建物を所有する企業の企業規模を判定し、判定結果を前記データベースに記録する、付記１～８のいずれか１項に記載の顧客抽出装置。
(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;
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.
（付記１０）
プロセッサが、建物ごとに、建物の情報と、建物を所有する企業の情報とを定めたデータベースと、建物名称に人名が含まれているか否か、および企業名称に人名が含まれているか否かに基づく、建物の自社ビル可能性を定めた第１のテーブルとに基づいて、建物の自社ビル可能性を判定し、判定結果を前記データベースに記録するステップと、
前記プロセッサが、前記データベースと、企業規模および建物の自社ビル可能性に基づく、建物を所有する企業における建物設備の商談可能性を定めた第２のテーブルとに基づいて、建物を所有する企業の建物設備の商談可能性を判定し、判定結果を前記データベースに記録するステップと、を備えた顧客抽出方法。
(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 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.
今回開示された実施の形態はすべての点で例示であって制限的なものではないと考えられるべきである。本発明の範囲は上記した説明ではなくて特許請求の範囲によって示され、請求の範囲と均等の意味および範囲内でのすべての変更が含まれることが意図される。 The embodiments disclosed herein should be considered in all respects to be illustrative and not restrictive. The scope of the present invention is indicated by the claims, not the above description, and is intended to include all modifications that are equivalent in meaning to and within the scope of the claims.
１００ プロセッサ、１０１ 入力装置、１０２ Ｗｅｂサービス、１０３ 表示装置、１０４ メモリ、１２１ 顧客ＤＢ、１２２ 建物企業ＤＢ、１２３ 企業規模判定テーブル、１２４ 自社ビル可能性判定テーブル、１２５ 商談可能性判定テーブル、２００ 顧客抽出装置、１０６ バス。 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 Negotiation possibility determination table, 200 Customer extraction device, 106 Bus.
Claims (10)
前記第１のテーブルと前記データベースとに基づいて、建物の自社ビル可能性を判定し、判定結果を前記データベースに記録し、前記第２のテーブルと前記データベースとに基づいて、建物を所有する企業の建物設備の商談可能性を判定し、判定結果を前記データベースに記録するプロセッサと、を備えた顧客抽出装置。 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.
前記第１のテーブルは、
前記建物名称が人名を含み、かつ地名および最寄駅名を含まず、前記企業名称が人名を含み、かつ地名を含まない場合には、建物の自社ビル可能性が高いと定め、
前記建物名称が人名を含み、かつ地名および最寄駅名を含まず、前記企業名称が人名を含まない場合には、建物の自社ビル可能性が中と定め、
前記建物名称が人名を含まず、前記企業名称が人名を含み、かつ地名を含まない場合には、建物の自社ビル可能性が中と定め、
前記建物名称が人名を含み、かつ地名および最寄駅名の両方または一方を含み、前記企業名称が人名を含み、かつ地名を含まない場合には、建物の自社ビル可能性が中と定め、
前記建物名称が人名を含み、かつ地名および最寄駅名を含まず、前記企業名称が人名を含み、かつ地名を含む場合には、建物の自社ビル可能性が中と定め、
前記建物名称が人名を含まず、前記企業名称が人名を含まない場合には、建物の自社ビル可能性が低いと定める、請求項１記載の顧客抽出装置。 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.
建物を所有する企業の建物設備の商談可能性は、高い、中、低いのうちのいずれか１つに定められ、
前記第２のテーブルは、前記企業規模が小で、かつ前記建物の自社ビル可能性が高い場合に、建物を所有する企業の建物設備の商談可能性が高いと定め、
前記企業規模が小で、かつ前記建物の自社ビル可能性が中の場合に、建物を所有する企業の建物設備の商談可能性が中と定め、
前記企業規模が小で、かつ前記建物の自社ビル可能性が低い場合に、建物を所有する企業の建物設備の商談可能性が低いと定める、請求項２記載の顧客抽出装置。 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 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;
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.
前記企業規模が中で、かつ前記建物の自社ビル可能性が中の場合に、建物を所有する企業の建物設備の商談可能性が低いと定め、
前記企業規模が中で、かつ前記建物の自社ビル可能性が低い場合に、建物を所有する企業の建物設備の商談可能性が低いと定める、請求項３記載の顧客抽出装置。 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.
前記プロセッサは、前記第３のテーブルに基づいて、建物を所有する企業の企業規模を判定し、判定結果を前記データベースに記録する、請求項１記載の顧客抽出装置。 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.
前記プロセッサが、前記データベースと、企業規模および建物の自社ビル可能性に基づく、建物を所有する企業における建物設備の商談可能性を定めた第２のテーブルとに基づいて、建物を所有する企業の建物設備の商談可能性を判定し、判定結果を前記データベースに記録するステップと、を備えた顧客抽出方法。 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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