JP2000132591A - Method for suggesting plural commodities in mass customization system - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a mass customization system for efficiently customizing the combination of plural commodities in accordance with a rule. SOLUTION: Common commodity/information which do not specify an objective company are customized by using information stored in commodity DB 121 in accordance with information stored in rule DB 122 indicated from an input device 104 and information stored in destination DB 124. Suggestion information is generated and is stored in individual suggestion busket DB 125.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an inter-company transaction such as a distribution business and a system thereof. The present invention relates to a system for customizing multiple product proposals to be provided in a customized form.

[0002]

2. Description of the Related Art In order to satisfy the diversifying consumer needs, companies provide products and information tailored to individual consumers, instead of providing uniform products and information in the past.
It has become necessary to do to1 marketing.

[0003] In order to provide customized products and information to a huge number of consumers, it is necessary to describe customization methods in rules and rationally customize them.

[0004] As a conventional example in which a rule is described and rational customization is realized, for example, Hitachi Commerce Solution Manual, April 1998, "Hitachi Commerce Solution Shopping System Mass.
Customization mechanism (3020-3-793) "
On page 41 et seq.

[0005] A rule for realizing customization of merchandise / information is composed of a condition part composed of a plurality of conditions and a conclusion part that becomes effective when those conditions are satisfied.

[0006]

However, the above-mentioned prior art has the following problems because the target for providing goods / information is only a consumer.

(1) Provision of goods and information is unified.

(2) When providing a plurality of products / information, all data files need to be searched a plurality of times, which is inefficient.

(3) A combination of a plurality of information cannot be customized.

An object of the present invention is to provide a mechanism for efficiently customizing a combination of a plurality of products according to rules.

[0011]

In order to achieve the above object, according to the present invention, an input device, an output device, a processing device, and a storage device are provided, and the storage device has a rule DB, a common proposal basket DB, and a product DB. Suggestion basket DB and destination D
B, wherein the processing device selects rule / group information from the rule DB describing rules for customizing a plurality of products in accordance with the rule / group instruction information input from the input device; Based on the extended attribute included in the selected rule / group information and the product list information in the common proposal basket DB, the product information is subjected to data inflation processing to increase the efficiency of the processing, and the extended product group table is executed. And selecting destination information from the destination DB according to the conditions of the selected rule / group information and the destination instruction information input from the input device with respect to the generated extended product group table; Based on the conclusion of the rule / group information that matches the store attribute of the selected destination information, customize Form and so that comprises a processing means for storing in a separate proposal basket DB.

[0012]

DESCRIPTION OF THE PREFERRED EMBODIMENTS One embodiment of the present invention will be described below in detail with reference to the drawings.

FIG. 1 is an apparatus configuration diagram of a method for proposing a plurality of products of a mass customization system including a functional configuration for realizing the first embodiment of the present invention.

The device configuration is such that a storage device 102, an output device 103, and an input device 104 are connected to a computer 101.

The computer 101 is a computer having a mass customization function 111 for customizing common products / information that does not specify a target company for proposal based on rules and generating proposal information for each destination.

The storage device 102 includes a product database (hereinafter abbreviated as DB) 121 for storing product information, a rule DB 122 for storing rule / group information describing rules for customizing a plurality of products, A common proposal basket DB123 that stores product list information of common products and information that does not specify a target company of a proposal selected by an operator, a destination DB124 that stores store attribute information of a business partner, and proposal information customized for each destination. An individual proposal basket DB 125 to be stored is stored.

The output device 103 selects a keyword of a product to be proposed, selects a destination to be proposed, selects a rule to be customized, and displays information for executing customization.

The input device 104 selects a keyword of a product to be proposed, selects a destination to be proposed, selects a rule to be customized, and inputs information for executing the customization.

Next, the mass customization processing for realizing the mass customization function 111 shown in FIG. 2 will be described.

The mass customization processing is performed by merchandise list information stored in the common proposal basket DB 123 of the storage device 102, merchandise information stored in the merchandise DB 121, destination information stored in the destination DB 124, Based on the rule / group information stored in the DB 122, the common product / information is customized to create proposal information for each destination, and the storage device 102
Is stored in the individual proposal basket DB 125.

Next, a product selection condition designation screen 3 shown in FIG. 3 for selecting common products / information that does not specify the target company of the proposal.
01 will be described.

The product selection condition designation screen 301 is a viewpoints of products that indicates various keywords describing the product, such as the target consumer group, application, characteristics, and components included in the product.
(Hereinafter abbreviated as VOP), a condition item display area 311 for displaying conditions such as a product category representing a product classification, and a condition item selection area 312 for specifying conditions to be displayed.
Consists of

Next, a destination designation screen 401 for selecting a destination and a mass customization rule shown in FIG.
Will be described.

The destination designation screen 401 includes a destination designation area 411 for displaying a proposed destination and a rule designation area 412 for displaying a rule for customizing a plurality of products.

Next, the product information file 501 shown in FIG.
Will be described.

The product information file 501 includes a product name 511 indicating a product name, a JAN code 512 indicating a common product code for identifying each product, a brand 513 indicating a trademark, a manufacturer name 514 indicating a manufacturer of the product, Product 1
Unit price 515 indicating the price per unit, V indicating the various keywords describing the product, such as the target consumer group, application, characteristics, and components included in the product.
OP516.

Next, the rule information file 60 shown in FIG.
1 will be described.

The rule information file 601 is composed of rule group information, and includes a rule group 611 indicating a rule attribute, a pattern NO 612 indicating a rule pattern type belonging to the rule group, an if 613 indicating a rule condition part, and a rule conclusion. The part 614.

Next, the destination information file 701 shown in FIG.
Will be described.

The destination information file 701 includes a store name 711 indicating the name of the store, a business type 712 indicating the business type of the store, and a store type 713 indicating the type of the store location.

Next, the product list information file 801 shown in FIG. 8 will be described.

The product list information file 801 has a basket name 8 indicating a group of individual products.
11, a product name 812 indicating the name of the product, and a JAN code 81 indicating a common product code for identifying each product
3. A brand 814 indicating a trademark, a manufacturer name 815 indicating a manufacturer of the product, and a VOP 816 indicating various keywords describing the product, such as a target consumer group, applications, characteristics, and components included in the product. .

Next, a proposal information file 901 shown in FIG.
Will be described.

The proposal information file 901 includes a store name 911 indicating the name of the store to be proposed, and a basket name 91 indicating a group in which individual products whose destinations are specified are put together.
2. a product name 913 indicating the name of the product, a JAN code 914 indicating a common product code for identifying each product,
A brand 915 indicating a trademark, a manufacturer name 916 indicating a manufacturer of the product, and a unit price 917 indicating a price per unit of the product are included.

Next, the extended product group table 1 shown in FIG.
001 will be described.

The extended merchandise group table 1001 has a basket name 10 indicating a group of individual merchandise.
11, a product name 1012 indicating a product name, and a JAN code 10 indicating a common product code for identifying each product
13, a brand 1014 indicating a trademark, a manufacturer name 1015 indicating a manufacturer of the product, a unit price 1016 indicating a price per unit of the product, and an extension area 1017 indicating a work area for mass customization processing.

FIG. 1 shows an apparatus configuration diagram, FIG. 3 shows an example of a product selection condition designation screen, FIG. 4 shows an example of a destination designation screen, FIG. 5 shows an example of a product information file, FIG. 6 shows an example of a rule information file, and FIG. File example, product list information file example of FIG. 8,
The flow of processing in this embodiment will be described with reference to the example of the proposal information file in FIG. 9 and the example of the extended product group table in FIG.

The mass customization processing of the computer 101 is performed by the output device 103 by using the product selection condition designation screen 30.
1 is displayed, the product information file 501 is read from the product DB 121 of the storage device 102 based on the product selection instruction information input from the input device 104, and a group name that collects individual products that do not specify a proposed target company is added. To create a product list information file 801 and store it in the common proposal basket DB 123 of the storage device 102,
Next, a destination designation screen 401 is displayed on the output device 103,
Based on the destination instruction information and the rule / group instruction information input from the input device 104, the destination information file 701, the rule DB1
22 is read from the rule / group information file 601, and based on the read rule / group information, the product D
B121, the product information file 501 is read, the data inflation process of the product list information file 801 is executed to create the extended product group table 1001, and the destination information file 701 and the rule / group for the created extended product group table 1001. Customization is performed based on the information file 601, a group name in which individual products whose destinations are specified is put together, a proposal information file 901 is created, and the proposal information file 901 is stored in the individual proposal basket DB 125 of the storage device 102.

Next, the mass customization processing for realizing the mass customization function 111 of the computer 101 will be described with reference to the mass customization processing flow shown in FIG.

<Step 1101> The common product / information not specifying the target company of the proposal is input from the input device 104 to the product information from the product DB 121 of the storage device 102 based on the input product selection instruction information. Product list information is created by adding a group name in which individual products that do not specify the target company are grouped together, and stored in the common proposal basket DB 123.

<Step 1102> Based on the destination instruction information and the rule group instruction information input from the input device 104, the destination information and the rule group information are
The destination DB 124 and the rule DB of the storage device 102, respectively.
Input from 122.

<Step 1103> The storage device 102 according to the product list information based on the rule / group information
The commodity information is input from the commodity DB 121 to create the extended commodity group table 1001.

<Step 1104> Customize the extended merchandise group table 1001 according to the rule / group information based on the store attribute of the destination information.

<Step 1105> Proposal information is created by adding a group name in which individual products whose destinations are specified by the extended product group table 1001 are put together, and stored in the individual proposal basket DB 125 of the storage device 102.

Next, a product list information file 801, a rule information file 601, an extended product group table 1001
"Extended attribute in proposal of multiple products: brand / size, store attribute: supermarket * example of mass customization processing procedure when using suburban type" 1
201 will be described with reference to FIG.

<Step: Instructing Common Products / Information for Proposal> The operator of the proposer company designates common products / information for proposal from the input device 104 (step 110).
1). The product list information file 801 created in accordance with this instruction is common product / information that does not specify a proposed target company.

<Step: Specify Destination and Rule Group> The operator of the proposer company specifies the destination to be proposed from the input device 104 and the rule for executing the mass customization process (corresponding to step 1102).
According to this instruction, steps 1103 and 1104
Is executed.

<Step: Inflating Product List Information> Based on the extended attribute of the rule information file 601, the product information is read from the product DB 121 in accordance with the item of the product list information file 801 to create the extended product group table 1001 (step). 1103). With this processing, a table serving as a base of the mass customization processing is created.

<Step: Customizing Process for Each Proposal Destination> The conclusion part then in which the store attribute (business type and store type) of the designated destination matches the condition part if of the rule information file 601 is executed (corresponding to step 1104). ).

The operator of the proposer company has the output device 10
The mass customization processing result is confirmed by the proposal information file 901 which is the result of “extended attribute in multiple product proposals: brand / size, store attribute: supermarket * mass customization processing using suburban type” displayed in 3. Then, the proposal can be sent to the destination using mail software installed in a general computer.

As described above, according to the above-described embodiment, by extracting necessary product information in accordance with the rule group specified by the operator and creating a base file, it is possible to efficiently customize a plurality of products. Can be realized. It is also possible to make a plan proposal combining a plurality of pieces of information.

In the above-described embodiment, the brand / size stored in the product DB is used for the process of inflating the product list information. Analyze the situation, etc., to propose proposals that focus on top selling products and proposals based on time (seasons and special events). For example, in the travel season, focus on small portable products. A rule that realizes a central proposal may be used. By using the minimum necessary rules in this way,
The operator can easily create a variety of proposals for each proposal destination simply by giving instructions from the screen.

[0053]

According to the present invention, a mass customization system for optimizing merchandise and information so as to match the attributes of a destination company is created by creating a base merchandise table in accordance with extended attributes described in rules. Based on the above, the two processes of executing the customization described in the rules are performed, so that it is possible to efficiently customize the proposed product with a plurality of products.

[Brief description of the drawings]

FIG. 1 is a diagram showing a mass customization system which is an apparatus configuration of an embodiment of the present invention.

FIG. 2 is a diagram showing a flow of a mass customization process for realizing a mass customization function.

FIG. 3 is a diagram showing a product selection condition designation input screen layout.

FIG. 4 is a diagram showing a destination designation input screen layout.

FIG. 5 is a diagram showing a product information file format.

FIG. 6 is a diagram showing a rule information file format.

FIG. 7 is a diagram showing a destination information file format.

FIG. 8 is a diagram showing a product list information file format.

FIG. 9 is a diagram showing a proposal information file format.

FIG. 10 is a configuration diagram of a table representing an extended product group of the product list information.

FIG. 11 is a diagram showing a flowchart of a mass customization process.

FIG. 12 is a diagram illustrating an example of a mass customization processing procedure.

[Explanation of symbols]

101: computer, 102: storage device, 103: output device, 104: input device.

 ──────────────────────────────────────────────────続 き Continued on the front page (72) Inventor Shinya Tatsuo 2-2-2 Kagahara, Tsuzuki-ku, Yokohama-shi, Kanagawa Prefecture F-term in Hitachi, Ltd. System Development Division 5B049 CC00 EE12

Claims (1)

[Claims] 1. An input device, an output device, a processing device, and a storage device, wherein the storage device includes a rule DB, a common proposal basket DB, a product DB, an individual proposal basket DB, and a destination DB. Rules input from the input device
According to the group instruction information, rule / group information is selected from the rule DB describing rules for customizing a plurality of products, and for product information in the product DB,
Based on the extended attribute included in the selected rule / group information and the product list information in the common proposal basket DB, execute data inflation processing to increase the processing efficiency, create an extended product group table, and create the extended product. According to the condition of the selected rule / group information and the destination instruction information input from the input device, the destination information is selected from the destination DB for the product group table, and the store attribute of the selected destination information is selected. And a processing means for executing customization based on the conclusion of the rule / group information that matches with the rule and creating proposal information and storing the proposal information in the individual proposal basket DB.