JP2002358398A - System and method for analyzing consumer's trend - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a system for analyzing consumer's trend which enables analysis of the consumer's trend based upon the data of products ordered by customers. SOLUTION: A system for analyzing consumer behavior generates the order data by groups are generated as analyzed data for merchandise purchase or service utilization data, with a wide region, a narrow region and arbitrarily set region as one group, based upon a customer master database, which registers detailed information consisting of an address or a working place and the like, and a detailed order database. The system for analyzing consumer's trend is made feasible based upon the order data by groups. The system can analyze the consumer's trend for an arbitrary regional unit by setting the regional group around the region of an arbitrary region as a unit since the system is configured such that it can store the customer address data, the wide address region which is divided into many narrow address regions, in the customer master database using a data format of the detailed divided area data.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

[0001] 1. Field of the Invention [0002] The present invention relates to a system and a method for analyzing a consumption trend of a user in an electronic commerce system for providing goods or services through communication means such as the Internet. More specifically, the degree of demand for a product or service is geographically analyzed based on address information of a user who has purchased a product via a communication means such as the Internet or a user who has used a service, and an efficient product service network is provided. The present invention relates to a consumption trend analysis system and a consumption trend analysis method that can be developed.

[0002]

2. Description of the Related Art Recently, communication terminals such as mobile phones, mobile terminals, and PCs have become widespread.
It is possible to display not only voice communication but also various character information and image data on a display on a communication terminal such as a mobile phone. In addition, online sales, which present goods or service contents via the Internet or the like and accept and sell orders, are becoming popular, especially in conjunction with a delivery service that delivers goods ordered via the Internet in a short time. The services to be provided are also increasing. Starting with foods such as lunch boxes and pizza, small items such as daily necessities,
A wide variety of products, such as appliances and furniture, are ordered and sold via the Internet.

For example, in order to perform a delivery service in a short time, it is necessary to provide a delivery center (delivery center) that provides a delivery service at a location closer to the user's location, such as the residence or work place of the user who ordered the product. Becomes Depending on where the delivery center is set and how large the size of the delivery center is, the product delivery time to the user greatly differs.

Conventionally, as a general method of determining the position of a distribution center, for example, a population density area, a daytime population, a nighttime population, and the like are analyzed based on demographic data, and the distribution center is determined or specified based on the analysis result. The number of people, the number of vehicles, and the like, which pass on a road, are counted, and a method is determined based on the amount of traffic.

[0005] However, the above method does not grasp the taste of each user who purchases a product or uses a service, but is merely a numerical analysis of a person or the like. It is not known whether it will be obtained or not.

[0006]

SUMMARY OF THE INVENTION The present invention has been made in view of the above problems in the analysis processing of a user who purchases a product or uses a service.
That is, an object of the present invention is to provide a consumption trend analysis system and a consumption trend analysis method that enable user analysis directly linked to purchase of a product or use of a service.

Further, the present invention analyzes a user analysis directly linked to the purchase of a product or the use of a service based on residence data such as a user's address or work place, and efficiently determines the number of consumers of each product or service for each region. It is an object of the present invention to provide a consumption trend analysis system and a consumption trend analysis method that enable information that can be used for setting, for example, setting up a product distribution center, setting up a sales office, or efficiently conducting business.

[0008]

SUMMARY OF THE INVENTION The present invention solves the above-mentioned object, and a first aspect of the present invention is a consumption trend based on a request for provision of a product or service from a customer communication terminal via data communication means. A consumer trend analysis system that performs analysis processing, including customer identification data for identifying customers,
A customer database in which regional display data indicating the location of the customer, such as the customer's address or work place, is subdivided and registered for each individual regional display unit data, the customer identification data, and the number of products or service provision requests for each customer The order status for each group of customers having a registered location in an area that is selected by selecting an arbitrary area display unit from the area display unit data and having an area registered according to the selected area display unit. Data processing means for generating data as group-specific order data based on the customer database and the order detail database.

Further, in one embodiment of the consumption trend analysis system of the present invention, the data processing means includes, as the order status data for each group, the number of registered customers in the group, and a request for providing goods or services in the group. It is characterized by having a configuration for generating order rate data calculated as a ratio of numbers.

[0010] Further, in one embodiment of the consumption trend analysis system of the present invention, the group is a group divided by area display data, and the data processing means includes an order for each group divided by the area display data. It is characterized in that it is configured to generate situation data.

Further, in one embodiment of the consumption trend analysis system of the present invention, the group is a group divided by organization identification data to which a plurality of customers belong,
The data processing means is configured to generate order status data for each group divided by the organization identification data.

Further, a second aspect of the present invention is a consumption trend analysis method for executing a consumption trend analysis process based on a product or service provision request from a customer communication terminal via data communication means. Receiving a request for provision of goods or services from a customer terminal via the customer terminal, customer identification data for identifying the customer, and regional display data indicating the customer's location such as the customer's address or place of work. Generating a customer database by subdividing and registering each customer, generating an order detail database storing the customer identification data and the number of products or services provided for each customer in association with each other, Select an arbitrary area display unit from the data and have a registered location in the area divided by the selected area display unit The order status data for each group of customers, in consumption trend analysis method characterized by having a data processing step of generating a group-specific order data based on the customer database and the Order Details database.

[0013] Further, in one embodiment of the consumption trend analysis method of the present invention, the data processing step includes, as order status data for each group, the number of registered customers in the group and a request to provide goods or services in the group. Generating order rate data calculated as a ratio of numbers.

Further, in one embodiment of the consumption trend analysis method according to the present invention, the group is a group divided by regional display data, and the data processing step includes an order for each group divided by the regional display data. It is characterized by generating situation data.

Further, in one embodiment of the consumption trend analysis method of the present invention, the group is a group divided by organization identification data to which a plurality of customers belong, and the data processing step is divided by the organization identification data. And generating order status data for each group.

Further, a third aspect of the present invention is a program for causing a computer system to execute a consumption trend analysis process based on data on a request for provision of a product or service from a customer communication terminal via data communication means,
Receiving a request to provide a product or service from a customer terminal via a communication network; customer identification data for identifying the customer; and regional display data indicating the customer's location such as the customer's address or place of work. Creating a customer database by subdividing and registering each display unit data, creating an order detail database storing the customer identification data and the number of products or services provided for each customer in association with each other, Select an arbitrary area display unit from the area display unit data, and based on the customer database and the order detail database, order status data for each group of customers having registered locations in the area divided by the selected area display unit. And a data processing step of generating as group-specific order data. In the program to be.

The program of the present invention is provided, for example, in a computer-readable medium to a general-purpose computer system capable of executing various program codes, for example, a storage medium such as a CD, FD, or MO. The program of the present invention can be stored in a medium that provides a computer program in a computer-readable format for a general-purpose computer system that can execute various program codes, for example. is there. The form of the medium is not particularly limited, such as a recording medium such as a CD, an FD, and an MO, and a transmission medium such as a network.

Such a program regulates the execution of various functions of the system based on the reading of the program under the control of the processor, and exerts a cooperative action on the system. The same operation and effect as those of the aspect can be obtained.

Still other objects, features and advantages of the present invention are:
It will become apparent from the following more detailed description based on the embodiments of the present invention and the accompanying drawings.

[0020]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Embodiments of a consumption trend analysis system and a consumption trend analysis method of the present invention will be described below in detail with reference to the drawings.

FIG. 1 is a diagram for explaining the outline of the consumption trend analysis system of the present invention. In FIG. 1, a user (customer) who wants to purchase a product has a communication terminal 100 capable of data communication. For example, a desktop PC 11
0, a notebook computer 210, a mobile phone 310, and the like. Using these various communication terminals, the user receives the sale merchandise or provided service information provided by the service provider 500, and uses the purchase or service of the merchandise.

The service provider 500 is a site that sells various products such as foods such as lunch boxes and pizzas, daily necessities, electric appliances, furniture, and the like, or a site that provides music and image data distribution services. , Sites that provide information or services.

The service provider 500 executes communication processing with the customer's communication terminal, processing of data received from the customer's communication terminal, and processing of transmission data. The service provider 500 also stores a customer master database 502, an order detail database 503, and an order by group. A server 501 is provided as data processing means for executing data storage, data update, data search, arithmetic processing, and the like for the database 504.

The server 501 has a CPU as an arithmetic processing unit, a RAM, a ROM, a communication interface, a hard disk, and the like as storage means, and performs various processes such as database access, arithmetic processing, and communication processing in accordance with stored processing programs. The data processing means to be executed.

Communication between a customer terminal such as a desktop PC 110, a notebook personal computer 210, and a mobile phone 310 and a server 501 of the service provider 500 is performed by various data communication networks such as the Internet, a wired line as a telephone line, and a wireless line. Is performed using

In the network configuration shown in FIG.
The service provider 500 provides merchandise information including the merchandise price to the customer terminal, and the user having the customer terminal checks the merchandise information and performs a merchandise purchase process.

The server 50 of the service provider 500
1 has a function of generating a Web (WEB) page accessible from a communication terminal such as a PC or a mobile phone of a user belonging to a customer group via a data communication network. The web (WEB) page of the user belonging to the customer group is constructed by, for example, a hypertext structure that can be displayed on the display of the mobile phone, and is constructed from the PC and the mobile phone to the server 50.
By specifying a URL (Uniform Resource Locator) set to 1, it is possible to call a Web (WEB) page generated by the server 501.

The server 50 of the service provider 500
1 and a communication protocol performed between a PC as a terminal of each customer group and a mobile phone are, for example, TCP / IP (Transmission C) which is a standard protocol of the Internet.
ontrol Protocol / Internet Protocol) in the transport layer and network layer of the OSI reference model, and HTTP (Hyper Text
Transfer Protocol) is applied.

On the PC or mobile phone side, a web (WEB) provided by the server 501 of the service provider 500
Display and browse using a browser that is page display processing software. The PC and the mobile phone can select data from a web page displayed on a display and transmit a selected data character string or selected data identification data to a web server. In a mobile phone, for example, data transfer processing is performed in data (packet) communication using i-mode (trademark).

In the consumption trend analysis system of the present invention, the service provider 500 receives a product order request and a service use request from a user via a communication network, and analyzes the contents of the request from the user to efficiently and efficiently. A process for surely analyzing the consumption trend of the user is executed.

The product provided by the service provider 500 shown in FIG. 1 is, for example, food sales such as a lunch box for performing a delivery service, and the service provider as a product sales site for executing the sales orders a product to a communication terminal of each customer (user). It presents a processing screen, receives order data from the user, and executes product sales. In addition, the system of the present invention is not limited to a lunch box, a product sales site that provides various types of products such as food, daily necessities, electric appliances, furniture, or a site that provides various information such as music, images, and application programs. Is applicable.

First, in the consumption trend analysis system of the present invention, a process of purchasing a product or information by a user accessing a service provider will be described with reference to a flow of FIG.

In FIG. 2, the left side is a product (including information).
Is a process at the user side terminal that intends to make a purchase, and the right side is a process of a service provider (server) that sells a product. Each step in FIG. 2 will be described sequentially. First, a user accesses the server using his / her own terminal, calls a product order screen, and inputs a customer ID, product identification data (product ID), and the number of orders assigned to each user on the order screen. The data is transmitted to a service provider (server) as a product sales site (S101).

In the access processing, for example, the URL set in the server on the merchandise sales site side is designated at the customer terminal, and the initial screen is called. Select and display the product order screen from the menu field set on the initial screen.

Upon receiving the customer ID, the product identification data (product ID), and the number of orders (S201), the server on the service provider side executes a mutual authentication process with the user terminal (S202, S102). The mutual authentication process uses, for example, a public key certificate and applies a mutual authentication process based on a public key encryption method according to an ECC encryption algorithm or a common key encryption method according to a DES encryption algorithm. In addition, any authentication method set by the service provider such as password authentication can be applied.
If the service provider determines that the authentication process is not required, the authentication process may be omitted.

When the authentication processing has been executed, the success or failure of the authentication is determined in the authentication processing determination (S103, S203). If it is determined that the authentication has been established, the process proceeds to the next step. If the authentication has not been established, an error (S
106, S208) and the process ends.

When the authentication is established and the validity of the communication partner is confirmed, the server of the service provider searches the customer master database (502 in FIG. 1, 502) based on the customer ID received from the user (S204). , A record corresponding to the customer ID is extracted.

FIG. 3 shows a data configuration example of the customer master database. As shown in FIG. 3, the customer master database stores [customer name] and [customer address] corresponding to [customer ID] as an identifier of each user.
[Customer address] is obtained from [Address 1] indicating a postal code, [Address 2] indicating a prefecture, and address data indicating narrow area information is [Address 3] to [Address 7].
The data of the crest, the number, and the number are stored in each data field. For example, customer ID [AA0018]
Shows that he lives or works in Postal Code 123-4567, Address: 8-3-6 Aoyama, Minato-ku, Tokyo.

As described above, the [customer address] data stored in the customer master database is obtained by converting the area display data indicating the customer's address such as the customer's address or work location into individual area display unit data, that is, the postal code, State, ward,
It is subdivided for each town, cho, turn, and issue and registered. It should be noted that the example shows the case of Tokyo, and in other local display units, that is, in regions where cities, counties, and the like exist, a customer address is registered for each unit data.

By registering the [customer address] for each region display unit data in this manner, the server 501 as a data processing means executes customer grouping by an arbitrary region display unit classification, and Analysis of consumption trends. The consumption trend analysis processing will be described later.

Returning to the flow of FIG. 2, the description will be continued. In step S104, the terminal on the user side inputs the payment method for the product purchase, for example, payment information such as a credit card number and a bank account number, and transmits the information to the server on the product sales site side. At the time of this data transmission, it is preferable to transmit the data after encrypting the transmission data using, for example, the session key generated in the above-described mutual authentication process.

The server on the merchandise sales site that has received the payment information from the user executes the decryption process if the received data is encrypted, and obtains the payment information of the user.
Execute payment processing based on the obtained payment information (S20)
5) Do it.

Next, the server on the service provider side executes a data update process (S206) of the order detail database and the order database by group based on the executed settlement process.

FIG. 4 shows an example of a data structure and an example of an update process of the order detail database and the order database by group.
Shown in The order details database shown in FIG.
Each data of [customer ID], [group (region)], and [customer order number] indicating the number of orders from the customer ID are associated with each other. This data is configured for each product.

The database configuration of FIG. 4 is an example in which [group (region)] sets common data up to town name data as one group. These are obtained from the area display unit data in the [customer address] data stored in the customer master database, for example, from [address 2] of the address data.
It is generated by extracting the data of [Address 4]. In addition,
The division setting of [group (region)] can be set as a region according to the purpose of use, that is, as a wide region or a narrow region. For example, delivery service 1
Arbitrary settings such as for each area, for each prefecture set as the shipping destination of one factory, for each street name, and for each address are possible. These group (region) data can be acquired from the data [addresses 1 to 7] of the customer master database (see FIG. 3).

The order database for each group shown in FIG. 4B includes [group (region)] and each group (region).
[Number of registered users], [Group (region) order number] indicating the number of orders from customers (users) corresponding to the group, and ([Group (region) order number] / [Registered user number]) The data associated with each data of [order rate] calculated by the above is set as one record data.

In the example of FIG. 4, in the order details database shown in FIG. 4A, the group (region) of the customer ID [AA0018] is [Aoyama, Minato-ku, Tokyo] and the customer ID [DH0812]. Since the group (region) is also [Aoyama, Minato-ku, Tokyo], these customers belong to the same group (region). In the order database by group shown in FIG. 4B, the total data for each group (region) is stored as [group (region) order number] in association with [group (region)].

In the example of FIG. 4, the order number of the customer ID [AA0018] is [7] and the order number of the customer ID [DH0812] is [1] in the order details database shown in FIG.
2], the corresponding group [group (region)] in the group-specific order database shown in FIG.
[Group (region) order number] of [Aoyama, Minato-ku, Tokyo] is 7 + 12 = 19, and [19] is stored. When data is updated in the order details database shown in FIG.
The update processing of the number of orders and the order rate data of the order database by group shown in (B) is executed.

The order database by group shown in FIG. 4 (B) selects an arbitrary area display unit from the area display unit data of the customer database, and selects a customer having a registered location in an area classified by the selected area display unit. The order status data for each group is stored as each record. That is, the group-specific order database is generated based on the data stored in the customer database and the order detail database. FIG.
Although the order detail database (A) stores group (region) data, the group data is not stored in the order detail database, and the region display unit is changed from the region display unit data of the customer database as necessary. Alternatively, a group may be selected to generate a record entry of the order database for each group.

Returning to the flow of FIG. 2, the description will be continued. When the server on the service provider executes the update processing of the order detail database and the group-specific order database based on the product purchase processing data that has been settled, next, it sends a processing completion notification to the user terminal (S207). . The user terminal receives the processing completion notification (S105), and the processing ends.

Next, the consumption trend analysis processing on the service provider 500 side will be described with reference to a specific example.
The example described below is an example of consumption trend analysis processing in a site that sells foodstuffs by electronic commerce via communication means such as the Internet.

For the sake of simplicity, the type (category) of the product is
Two types of delivery service products (A) bread and (B) rice ball are analyzed. A service provider that sells products belonging to these two types of product categories (A) and (B) needs to place orders for products belonging to which categories in which regions in order to quickly execute product procurement and product delivery. Execute a process of predicting whether there is.

For the two types of goods (A) bread and (B) rice ball, the service provider generates the above-mentioned group-specific order database in accordance with the product order from each registered user. It is assumed that a group-specific order database for each product is generated, for example, as shown in FIG. As the product order status data necessary to generate the group-specific order database, data obtained from a certain number of orders per day or data obtained for a certain period such as an average value of data for one month can be applied. These are obtained from the data stored in the order details database.

According to the data in the group-specific order database shown in FIG. 5, for the user whose group (region) is [Aoyama, Minato-ku, Tokyo], the number of bread orders is (40) and the number of rice balls is (20). And the order rate is high. In this region, it is expected that there will be many users of the delivery service and few competitors. The user of [Azabu, Minato-ku] has the order number of bread (2) and the order number of onigiri (30), and the order rate is high for onigiri but low for bread. In this area, it is determined that there are many users who have a higher preference for rice balls than bread.

Based on the number of orders, data, and order rate data, for example, the number of breads manufactured and shipped, the number of rice balls manufactured and shipped, the installation of a product distribution center, and the installation plan of a store can be executed. With reference to FIG. 6, an example of a setting process of the installation position of the distribution center or store based on the data in the group-specific order database will be described.

The example of FIG. 6 describes an example of processing for setting the installation position of a bread distribution center or a store based on a group order database for bread. The order database by group shown in the upper left part (A) of FIG. 6 is an order database by group in which a group (region) is set for a product: bread in units of town names in Tokyo. Assuming that the three regions shown in this group order database are adjacent regions,
For example, the number of orders and the order rate in each town are shown as in FIG.

From the result data of FIG. 6B obtained from the group-specific order database shown in the upper left part of FIG.
For example, it can be concluded that a distribution center or store should be set up in Aoyama, Minato-ku, where both the number of orders and the order rate are high, but it is necessary to determine the location of the distribution center or store by performing analysis in a smaller area. Can also.
Group order database shown in FIG. 6 upper left (A),
Based on the customer master database (see FIG. 3), it is possible to generate group-specific order data in which groups (regions) are further subdivided as shown in (C) and (D).

FIG. 6C shows data obtained by subdividing the data record of [Aoyama, Minato-ku, Tokyo] into 1-3 and 4-6, and FIG. 6 (D) shows the data in [Aoyama, Minato-ku, Tokyo]. Bunkyo Ward]
Is a data record obtained by subdividing the data record into the first to third and the fourth to sixth. When the data shown in the order data by group shown in (C) and (D) is analyzed on a map, as shown in FIG.
The number of orders and order rate data in the street are shown.

As shown in FIG. 6E, it is possible to immediately know which region has a large number of orders and which region has a high order rate based on the group-by-group order data. Based on this data, an efficient delivery service can be provided by setting up a bread distribution center or store closer to a region where the number of orders is large.

If, for example, a group-specific order database is created for each product and each day of the week, it is possible to predict and set the number of manufactured and shipped products for each day of the week and for each product.

In the above-described embodiment, an example has been described in which a group is set directly corresponding to an area that can be distinguished by an address. However, a group may be set as an organization including a plurality of customers such as a company, a school, and a building. It is possible. A configuration example in which the group is set as an organization including a plurality of customers such as a company, a school, and a building will be described below.

FIG. 7 shows an example of the data configuration of the customer master database of this embodiment. As shown in FIG. 7, the customer master database stores [customer ID] as a customer identifier,
[Customer name], [Group code] as group identifier to which the customer belongs, [Group name], [Customer address]
Is stored. [Customer Address] is obtained from [Address 1] indicating the postal code, [Address 2] indicating the prefecture, and further,
Address data indicating the small area information is set as [address 3] to [address 7], and each data of a ward, a town, a street, a number, and a number is stored in each data field. [Customer name]
Is the name of an individual, or the name of a representative or department of a particular department.

FIG. 8 shows a data configuration example of the order detail database and the group order database. FIG. 8 (A)
The order details database shown in FIG. 3 associates data of [customer ID], [group code], and [customer order number] indicating the number of orders from the customer ID. This data is configured for each product.

The group order database shown in FIG. 8B includes [group code], [registered user number] indicating the number of customers corresponding to the group code, [group order number] indicating the number of orders from the group, And ([Group order number] / [Registered user number]) have a data configuration in which respective data of [Order rate] calculated are associated with each other.

In the example of FIG. 8, in the order details database shown in FIG. 8A, the group ID of the customer ID [AA0018] is [ABC001], and the customer ID [AA001]
The group ID of [DH0812] is also [ABC00
1], these customers belong to the same group. In the group order database shown in FIG.
The aggregated data for each of these groups is referred to as [Group Order Quantity]
Is stored in association with the [group code].

In the example of FIG. 8, in the order details database shown in FIG. 8A, the order number of the customer ID [AA0018] is [7], and the order number of the customer ID [DH0812] is [1].
2], the [group order number] of [ABC001], which is the [group code] of the corresponding group, is 7 + 12 in the group order database shown in FIG.
= 19, and [19] is stored. FIG.
When data is updated in the order details database shown in FIG. 8A, the group order database update processing shown in FIG. 8B is executed accordingly.

In this embodiment, a customer who purchases a product is identified by a group including a plurality of users, for example, a group such as a company, and customers having the same group code are processed as if they exist at the same or adjacent address locations. Execute The consumption trend analysis based on the group-by-group order database can be executed as the same processing as in FIGS. 5 and 6 described above. According to the present embodiment, it is possible to analyze the consumption trend in units of various organizations such as a specific company or a building identified by the group code.

The series of processing described in the above embodiment can be executed by hardware, software, or a combination of both. When executing processing by software, a program recording a processing sequence is installed in a memory in a data processing device built in dedicated hardware and executed, or a general-purpose computer capable of executing various processing is used. It is possible to install and run the program. When a series of processing is performed by software, a program constituting the software is
For example, it is installed in a general-purpose computer or a one-chip microcomputer.

An execution program for various processes is stored in a hard disk or RO as a recording medium built in the system.
M can be recorded in advance. Alternatively, the program is a floppy disk, CD-ROM
(Compact Disc Read Only Memory), MO (Magneto opti
cal) It can be temporarily or permanently stored (recorded) in a removable recording medium such as a disk, a DVD (Digital Versatile Disc), a magnetic disk, and a semiconductor memory. Such a removable recording medium can be provided as so-called package software.

The program can be installed on a computer from a removable recording medium, can be wirelessly transferred from a download site to a computer via an artificial satellite for digital satellite broadcasting, or a LAN (Local A
rea Network) or a network, such as the Internet, and the program can be transferred to a computer by a wire. In the computer, the program thus transferred can be received by a communication unit and installed on a built-in hard disk.

Here, in this specification, processing steps for writing a program for causing a computer to perform various processes do not necessarily have to be processed in chronological order in the order described in the flowchart, and may be performed in parallel. Alternatively, it also includes processing executed individually (for example, parallel processing or processing by an object).

The program may be processed by one computer, or may be processed by a plurality of computers in a distributed manner. Further, the program may be transferred to a remote computer and executed.

The present invention has been described in detail with reference to the specific embodiments. However, it is obvious that those skilled in the art can modify or substitute the embodiment without departing from the spirit of the present invention. That is, the present invention has been disclosed by way of example, and should not be construed as limiting. In order to determine the gist of the present invention, the claims described at the beginning should be considered.

The various processes described in the specification are
It may be executed not only in chronological order according to the description, but also in parallel or individually according to the processing capability of the device that executes the process or as necessary. Also, in this specification, a system is a logical set configuration of a plurality of devices,
The devices of each configuration are not limited to those in the same housing.

[0075]

As described above, according to the consumption trend analysis system and the consumption trend analysis method of the present invention, a wide area, a narrow area, and an arbitrary area can be determined based on each data of the customer master database and the order detail database. By setting the set area as one group, order data for each group is generated as analysis data of product purchase or service usage data, and it is possible to analyze consumption trends based on the order data for each group. Each product and service based on the analysis result Can be provided efficiently.

Further, according to the consumption trend analysis system and the consumption trend analysis method of the present invention, the customer master database is configured to store the customer address from data indicating a wide area to data indicating a narrow area in a fragmented manner. So
A group is set in units of regions of any size, and consumption trend analysis can be performed in units of any region.

Further, according to the consumption trend analysis system and the consumption trend analysis method of the present invention, since the group identifier of each company or the like is stored in the customer master database, the group of each company or the like is set. This makes it possible to analyze consumption trends in each group.

[Brief description of the drawings]

FIG. 1 is a system configuration diagram illustrating an outline of a consumption trend analysis system of the present invention.

FIG. 2 is a diagram showing a processing flow for processing a product order from a customer (user) in the consumption trend analysis system of the present invention.

FIG. 3 is a diagram showing a data configuration example of a customer master database of a service provider in the consumption trend analysis system of the present invention.

FIG. 4 is a diagram showing a data configuration example of an order detail database and a group-by-group order database of a service provider in the consumption trend analysis system of the present invention.

FIG. 5 is a diagram showing a data configuration example of a group-specific order database of a service provider in the consumption trend analysis system of the present invention.

FIG. 6 is a diagram showing an example of consumption trend analysis processing based on a group-specific order database of a service provider in the consumption trend analysis system of the present invention.

FIG. 7 is a diagram showing a data configuration example of a customer master database of a service provider in the consumption trend analysis system of the present invention.

FIG. 8 is a diagram showing an example of a data configuration of an order detail database of a service provider and an order database by group in the consumption trend analysis system of the present invention.

[Explanation of symbols]

 100, 200, 300 Customer communication terminal 110 Desktop PC 210 Laptop computer 310 Mobile phone 500 Service provider 501 Server 502 Customer master database 503 Order detail database 504 Order database by group

Claims (9)

[Claims] 1. A consumption trend analysis system for executing a consumption trend analysis process based on a product or service provision request from a customer communication terminal via a data communication means, comprising: customer identification data for identifying a customer; A customer database in which regional display data indicating a customer's location such as work location is subdivided and registered for each regional display unit data, the customer identification data, and the number of products or services provided for each customer in association with each other. It has a stored order detail database, selects an arbitrary area display unit from the area display unit data, and stores order status data for each group of customers having registered locations in an area divided by the selected area display unit,
Data processing means for generating group-specific order data based on the customer database and the order detail database. 2. The data processing means generates, as the order status data for each group, order rate data calculated as a ratio between the number of registered customers in the group and the number of requests for providing goods or services in the group. The consumption trend analysis system according to claim 1, having a configuration. 3. The data processing device according to claim 2, wherein the group is a group divided by regional display data, and the data processing means generates order status data for each group divided by the regional display data. The consumption trend analysis system according to claim 1. 4. The group is a group divided by organization identification data to which a plurality of customers belong, and the data processing means is configured to generate order status data for each group divided by the organization identification data. The consumption trend analysis system according to claim 1, wherein: 5. A consumption trend analysis method for performing a consumption trend analysis process based on a provision request of a product or service from a customer communication terminal via a data communication means, wherein the product or service from the customer terminal via a communication network is provided. Receiving the provision request of the customer; customer identification data identifying the customer; and regional display data indicating the customer's location such as the customer's address or work location, subdivided into individual regional display unit data and registered and registered in the customer database. Generating an order detail database in which the customer identification data and the number of products or services provided for each customer are stored in association with each other; and selecting an arbitrary regional display unit from the regional display unit data. And the order status data for each group of customers who have registered locations in the area divided by the selected area display unit. Data
A data processing step of generating as group-specific order data based on the customer database and the order detail database. 6. The data processing step generates, as the order status data for each group, order rate data calculated as a ratio of the number of registered customers in the group to the number of requests for provision of goods or services in the group. The method according to claim 5, further comprising a step. 7. The data processing method according to claim 5, wherein the group is a group divided by regional display data, and the data processing step generates order status data for each group divided by the regional display data. Consumption trend analysis method described in. 8. The group is a group divided by organization identification data to which a plurality of customers belong, and the data processing step generates order status data for each group divided by the organization identification data. The consumption trend analysis method according to claim 5, wherein 9. A program for causing a computer system to execute a consumption trend analysis process based on data on a request for providing a product or service from a customer communication terminal via a data communication means, the program comprising: Receiving a product or service provision request, customer identification data identifying the customer, and regional display data indicating the customer's location, such as the customer's address or work location, are subdivided into individual regional display unit data and registered. Generating a customer database; generating an order detail database in which the customer identification data is associated with the number of products or services provided for each customer; and displaying an arbitrary area from the area display unit data. Select a unit and have a registered address in the area divided by the selected area display unit Order status data for each group of customers
A data processing step of generating order data for each group based on the customer database and the order detail database.