Target customer selection device

Abstract

The present invention can select a customer who is more likely to take a purchase action on a product or service sold at a predetermined price. A target customer selection device has a purchase information storage unit that stores personal identification information in association with personal information including a purchased product and a purchase price, and is constituted by a combination of a plurality of item identification information and item values thereof; a target selection unit that extracts information on a person who has purchased a product at an amount within a predetermined range relative to a set price from information stored in the purchase information storage unit; an item selection unit that extracts a combination of item identification information and item values thereof of a predetermined number of high frequency of occurrence from personal information related to information extracted by the target selection unit; and a customer selection unit that extracts personal identification information having the combination of item identification information and item values thereof extracted by the item selection unit from information stored in the purchase information storage unit.

Description

Technical Field

[0001] This invention relates to a technique for extracting customer information as a target. Background Technology

[0002] Businesses survive by generating revenue through selling goods or providing services to customers. Therefore, they constantly strive to find ways to increase their revenue.

[0003] In this context, the following approach emerges: increasing customer loyalty by offering discounts to customers, thereby increasing revenue opportunities. For example, Patent Document 1 proposes a discount granting system: when a user of a terminal device is determined to be a candidate extracted based on pre-set user attributes, a notification message containing a link to a promotional activity screen representing a promotional activity guide is sent to the terminal device.

[0004] Existing technical documents Patent documents Patent Document 1: Japanese Patent Application Publication No. 2024-173649 Summary of the Invention

[0005] The technical problem that the invention aims to solve However, in the aforementioned prior art, since implementing promotional measures for customers also incurs costs, if promotional measures are implemented indiscriminately based on customer databases, a huge cost burden will be incurred.

[0006] Therefore, in view of the above-mentioned problems, the present invention aims to provide a target customer selection device that selects customers who are more likely to make a purchase of goods or services sold at a predetermined price.

[0007] Technical solutions for solving technical problems One aspect of the disclosed target customer selection device is characterized by comprising: a purchase information storage unit that stores personal identification information in association with personal information, the personal information including purchased goods and purchase prices related to an individual identified by the personal identification information, and consisting of a combination of multiple item identification information and item values; a conditional receiving unit that receives a set price associated with a product; a target selection unit that extracts information from the information stored in the purchase information storage unit regarding an individual who has purchased the product at an amount within a predetermined range relative to the set price; an item selection unit that extracts a predetermined number of combinations of item identification information and item values ​​that occur frequently from the personal information involved in the information extracted by the target selection unit; and a customer selection unit that extracts personal identification information having the combination of the item identification information and item values ​​extracted by the item selection unit from the information stored in the purchase information storage unit.

[0008] Invention Effects The disclosed target customer selection device can select customers who are more likely to make a purchase of goods or services sold at a specified price. Attached Figure Description

[0009] Figure 1 This is a diagram showing an outline of the target customer selection device in this embodiment.

[0010] Figure 2 This is a functional block diagram of the target customer selection device in this embodiment.

[0011] Figure 3 This diagram illustrates an example of the purchase information storage unit in this embodiment.

[0012] Figure 4 This is a diagram illustrating an example of the hardware structure of the target customer selection device in this embodiment.

[0013] Figure 5 This is a flowchart illustrating the processing flow of the target customer selection device in this embodiment. Detailed Implementation

[0014] The embodiments for carrying out the present invention will be described with reference to the accompanying drawings.

[0015] (The working principle of the target customer selection device in this embodiment) use Figures 1 to 3 The working principle of the target customer selection device (hereinafter referred to as "this device") 100 of this embodiment will be explained. Figure 1 This diagram illustrates the connection relationships between this device 100 and other devices. Figure 2This is a functional block diagram of device 100.

[0016] like Figure 1 As shown, this device 100 is connected to a POS (Point-of-Sale) system 300 via a communication network 310. The communication network 310 can be either wireless or wired, or both. The POS (Point-of-Sale) system 300 provides this device 100 with so-called purchase information.

[0017] like Figure 2 As shown, the device 100 includes a purchase information storage unit 110, a condition receiving unit 120, a target selection unit 130, an item selection unit 140, and a customer selection unit 150.

[0018] Purchase information storage unit 110 stores personal identification information 220 in association with personal information 230. Personal information 230 includes purchased goods 240 and purchase prices 250 related to the individual 210 identified by personal identification information 220, and is composed of a combination of multiple item identification information 260 and their item values ​​270. Personal information 230 includes the individual 210's attribute information (age, gender, family composition, etc.), purchase information (purchased goods or services, price, date, quantity, etc.), skin characteristic information, health indicator information (information obtained through health examinations, etc.), questionnaire response information (responses to price surveys, etc.), etc.

[0019] Figure 3 This is a diagram illustrating an example of purchasing information storage unit 110. (For example...) Figure 3 As shown, the purchase information storage unit 110 stores, for example, personal identification information 220:100XX, in association with personal information 230 such as age: 45 years old, gender: female, purchased goods: cosmetics A, food B, purchase price: 3,000 yen, 500 yen, purchase date: January 25, January 30, skin characteristic information: dry skin, and health indicator information (neutral fat value): 175.

[0020] In addition, the purchase information storage unit 110 stores, for example, personal identification information 220:100YY, and personal information 230 such as age: 52 years old, gender: female, purchased goods: cosmetics C, food B, purchase price: 2,500 yen, 250 yen, purchase date: March 1, March 10, skin characteristic information: dry skin, and health indicator information (neutral fat value): 180.

[0021] Condition receiving unit 120 receives a set price 290 associated with a product 280. Condition receiving unit 120 receives the operating conditions of this device 100. For example... Figure 3As shown, a product 280 is, for example, food B, and a set price 290 is, for example, 450 yen.

[0022] The target selection unit 130 retrieves information from the information stored in the purchase information storage unit 110 regarding individuals who have purchased a product 280 at an amount within a specified range relative to a set price 290. The target selection unit 130 also retrieves information from the information stored in the purchase information storage unit 110 regarding individuals who have purchased a product 280 at an amount between a set price 290 and α.

[0023] like Figure 3 As shown, for example, if product 280 is food B, and the set price 290 is 450 yen with a specified range of 50 yen, the target selection unit 130 retrieves information about the personal identification information 220: 100XX stored in the purchase information storage unit 110. Furthermore, for example, if product 280 is cosmetics, and the set price 290 is 2,700 yen with a specified range of 500 yen, the target selection unit 130 retrieves information about the personal identification information 220: 100XX, 100YY stored in the purchase information storage unit 110.

[0024] The item selection unit 140 extracts a predetermined number of combinations of frequently occurring item identification information 260 and their item values ​​270 from the personal information 230 involved in the information extracted by the target selection unit 130.

[0025] like Figure 3 As shown, the item selection unit 140 extracts the following three combinations in descending order of frequency of occurrence: a combination where the item identification information 260 is the purchased goods and the item value 270 is cosmetics; a combination where the item identification information 260 is the age and the item value 270 is 45 to 55 years old; and a combination where the item identification information 260 is the skin information and the item value 270 is dry skin.

[0026] The customer selection unit 150 extracts personal identification information 220 from the information stored in the purchase information storage unit 110. This personal identification information 220 is a combination of the item identification information 260 extracted by the item selection unit 140 and its item value 270.

[0027] For example, if the combination of the item identification information 260 and the item value 270 extracted by the item selection unit 140 is the combination of item identification information 260: purchased goods and item value 270: cosmetics, the customer selection unit 150 extracts personal identification information 220: 100XX, 100YY, 100ZZ.

[0028] When the combination of the item identification information 260 and its item value 270 extracted by the item selection unit 140 is the combination of item identification information 260: purchased goods and its item value 270: cosmetics, and the combination of item identification information 260: age and its item value 270: 45 years old to 55 years old, the customer selection unit 150 extracts personal identification information 220: 100XX, 100YY.

[0029] In addition, the personal identification information 220 extracted by the customer selection unit 150 is used as the target of promotional measures such as advertising.

[0030] Based on the above working principle, this device 100 can select customers 210 who are more likely to make a purchase on goods or services 280 sold at a specified price.

[0031] (Hardware structure of the target customer selection device in this embodiment) use Figure 4 The hardware structure of this device 100 will be described as an example. Figure 4 This is a diagram illustrating an example of the hardware structure of this device 100. (See diagram below.) Figure 4 As shown, the device 100 includes a CPU (Central Processing Unit) 510, a ROM (Read-Only Memory) 520, a RAM (Random Access Memory) 530, an auxiliary storage device 540, a communication I / F 550, an input device 560, a display device 570, and a storage medium I / F 580.

[0032] CPU 510 is a device that executes programs stored in ROM 520. It processes data expanded (loaded) into RAM 530 according to program instructions and controls the entire device 100. ROM 520 stores the programs and data executed by CPU 510. When CPU 510 executes a program stored in ROM 520, the executing program and data are expanded (loaded) into RAM 530, which temporarily holds the processed data during operation.

[0033] The auxiliary storage device 540 is a device that stores the OS (Operating System), which is the basic software, the applications of this embodiment, and related data together. For example, it may include the purchase information storage unit 110. The auxiliary storage device 540 is, for example, an HDD (Hard Disk Drive) or a flash memory.

[0034] The Communication I / F550 is an interface for connecting to wired or wireless communication networks such as LAN (Local Area Network), the Internet, etc., 310, and for transmitting and receiving data with other devices (POS systems, etc.) 300 that provide communication functions.

[0035] Input device 560 is a keyboard or similar device used for inputting data into device 100. Display device (output device) 570 is a device composed of an LCD (Liquid Crystal Display) or similar, serving as a user interface when the user utilizes the functions of device 100 or makes various settings. Storage medium I / F 580 is an interface for transmitting and receiving data with storage media 590 such as CD-ROM, DVD-ROM, and USB memory.

[0036] Each unit of the device 100 can also be implemented by the CPU 510 executing a program corresponding to each unit stored in the ROM 520 or the auxiliary storage device 540. Alternatively, each unit of the device 100 can be implemented by using hardware to handle the processing associated with that unit. Furthermore, the device 100 can execute the program as follows: the program related to this invention is read from an external server device via a communication I / F 550, or the program related to this invention is read from a storage medium 590 via a storage medium I / F 580.

[0037] (Processing example performed by the target customer selection device of this embodiment) use Figure 5 The process flow of the processing example performed by this device 100 will be described. Figure 5 This is a flowchart illustrating the processing procedure of this device 100.

[0038] In S10, the condition receiving unit 120 receives a set price 290 associated with a product 280. The condition receiving unit 120 also receives the operating conditions of the device 100. For example... Figure 3 As shown, a product 280 is, for example, food B, and a set price 290 is, for example, 450 yen.

[0039] In S20, the target selection unit 130 extracts information from the information stored in the purchase information storage unit 110 regarding an individual who purchased a product 280 received in S10 for an amount within a specified range relative to a set price 290. The target selection unit 130 extracts information from the information stored in the purchase information storage unit 110 regarding an individual who purchased a product 280 for an amount within a set price 290 ± α.

[0040] like Figure 3 As shown, for example, if product 280 is food B, and the set price 290 is 450 yen with a specified range of 50 yen, the target selection unit 130 retrieves information about the personal identification information 220: 100XX stored in the purchase information storage unit 110. Furthermore, for example, if product 280 is cosmetics, and the set price 290 is 2,700 yen with a specified range of 500 yen, the target selection unit 130 retrieves information about the personal identification information 220: 100XX, 100YY stored in the purchase information storage unit 110.

[0041] In S30, the item selection unit 140 extracts a predetermined number of combinations of frequently occurring item identification information 260 and their item values ​​270 from the personal information 230 involved in the information extracted in S20.

[0042] like Figure 3 As shown, the item selection unit 140 extracts the following three combinations in descending order of frequency of occurrence: the combination where item identification information 260 is a purchased product and its item value 270 is a cosmetic; the combination where item identification information 260 is an age and its item value 270 is 45 to 55 years old; and the combination where item identification information 260 is skin information and its item value 270 is dry skin.

[0043] In S40, the customer selection unit 150 extracts personal identification information 220 from the information stored in the purchase information storage unit 110, which has a combination of the item identification information 260 and the item value 270 extracted in S30.

[0044] For example, if the combination of the item identification information 260 and the item value 270 extracted in S30 is the combination of item identification information 260: purchased goods and item value 270: cosmetics, then the customer selection unit 150 extracts personal identification information 220: 100XX, 100YY, 100ZZ.

[0045] Furthermore, when the combination of item identification information 260 and item value 270 extracted in S30 is item identification information 260: purchased goods and item value 270: cosmetics, and item identification information 260: age and item value 270: 45 years old to 55 years old, the customer selection unit 150 extracts personal identification information 220: 100XX, 100YY.

[0046] In addition, the personal identification information 220 extracted by the customer selection unit 150 is used as the target of promotional measures such as advertising.

[0047] By performing the above processing, the device 100 can select customers 210 who are more likely to make a purchase of goods or services 280 sold at a specified price.

[0048] The embodiments of the present invention have been described in detail above, but the present invention is not limited to this specific embodiment, and various modifications or alterations can be made within the scope of the spirit of the present invention as set forth in the claims.

[0049] Explanation of reference numerals in the attached figures 100 Target Customer Selection Device 110 Purchase information storage unit 120 Conditional Access Unit 130 Target Selection Unit 140 Project Selection Unit 150 Customer Selection Units 210 people 220 Personal Identification Information 230 Personal Information 240 purchased items Purchase price: 250 260 Project Identification Information 270 Item values ​​related to item identification information 280 products 290 Set Price 300 POS (Point-of-Sale) System 310 Communication Network 510 CPU 520 ROM 530 RAM 540 Auxiliary storage device 550 communication interface 560 Input Device 570 Output Device 580 Storage Media Interface 590 Storage Media

Claims

1. A target customer selection device, characterized in that, have: Purchase information storage unit that stores personally identifiable information in association with personal information, the personal information including purchased goods and purchase prices related to an individual identified by the personally identifiable information, and consisting of a combination of multiple item identification information and their item values; A conditional acceptance unit receives a set price associated with a product; The target selection unit extracts information about the individual who purchased the product at an amount within a specified range relative to the set price from the information stored in the purchase information storage unit. The item selection unit extracts a predetermined number of combinations of item identification information and item values ​​that appear frequently from the personal information involved in the information extracted by the target selection unit. as well as The customer selection unit extracts personal identification information from the information stored in the purchase information storage unit, which includes a combination of the item identification information extracted by the item selection unit and the item value.

2. A method for selecting target customers, executed in a computer, said computer having a purchase information storage unit that stores personal identification information in association with personal information, said personal information including purchased goods and purchase prices related to an individual identified by the personal identification information, and consisting of a combination of multiple item identification information and their item values, characterized in that, The target customer selection method includes: The conditional receiving unit receives a step of setting a price associated with a product; The step of the target selection unit extracting information about the individual who purchased the product at an amount within a specified range relative to the set price from the information stored in the purchase information storage unit; The step of the project selection unit extracting a predetermined number of combinations of frequently occurring project identification information and their project values ​​from the personal information involved in the information extracted by the target selection unit; and The customer selection unit extracts personal identification information from the information stored in the purchase information storage unit, which includes a combination of the item identification information extracted by the item selection unit and the item value.

3. A target customer selection procedure, characterized in that, Used to enable a computer to perform the method of claim 2.

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