JP2001184405A - Virtual shopping mall system, data processing device for sale promotion, virtual shopping mall operating method, data processing method for sale promotion, and recording medium - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide technology for a virtual shopping mail which effectively promotes sales to individual consumers. SOLUTION: Attribute data and member basic data consisting of questionnaire answer data from members are classified by clusters. The cluster-classified data and purchase history data are used to generate multiple-evolution data. Further, articles provided by a virtual shopping mall are classified by clusters. This data processing technology for sale promotion is equipped with a matching control means which enables a member to browse, as matching article data, articles based upon cluster classifications of the multiple-evolution data stored in the multiple-evolution database of the member when a member gains access to the virtual shopping mall.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a technology for efficiently achieving sales promotion to individual consumers by using communication line technology.

[0002]

2. Description of the Related Art (Distribution system) A product ordering / management system using widely known point-of-sale information (POS information) can obtain information on sale in a timely manner. By interlocking with, the time compression until the commodity arrives and the inventory compression are compatible.

(Sales Promotion System) As means for promoting sales of products and services, means of advertising by mass media such as paper media (so-called flyers) and televisions have been widely used. In addition, advertising means has been used in which data such as a customer's name and address is obtained by taking in card members and the like and a direct mail is issued. In recent years, advertising means for obtaining an e-mail address by some means and sending a direct mail to the address has become popular.

[0004]

[Problem to be Solved by the Invention] (Distribution system) Although the information at the time of sale is effective in ordering goods and reducing inventory in accordance with actual consumption by an unspecified number of consumers,
It is not so effective for products that are intended for product development, small-scale sales, and limited-time sales in anticipation of future consumption trends.

[0005] (Sales Promotion System) [0005] Sales promotion means such as advertisements and direct mails are all means for promoting sales to an unspecified number of consumers, and the hit rate is not high. On the other hand, with the recent improvement in performance and price reduction of computer-related devices, it has become technically and costly impossible to accumulate purchase history data for each consumer. However, there is no sales promotion system utilizing purchase history data for each consumer.

(Problem) A problem to be solved by the present invention is to provide a technology capable of efficiently distributing goods and services as a whole and efficiently processing sales promotion data corresponding to individual consumers. . Here, an object of the present invention is to provide a virtual shopping mall system that can streamline distribution and efficiently process sales promotion data corresponding to individual consumers. The invention according to claims 2 to 6 provides a sales promotion data processing device used in the virtual shopping mall system that can efficiently process sales promotion data corresponding to individual consumers. Aim.

Another object of the present invention is to provide a virtual shopping mall operation method that can streamline distribution and efficiently process sales promotion data corresponding to individual consumers. The invention according to claims 8 to 12 provides a sales promotion data processing method used in the virtual shopping mall operation method that can efficiently process sales promotion data corresponding to individual consumers. With the goal.

Further, according to the invention of claim 13, a virtual shopping mall operation method capable of streamlining distribution and efficiently processing sales promotion data corresponding to individual consumers is recorded so as to be realized by a computer program. It is intended to provide a recording medium. Also,
An object of the invention described in claim 14 is to provide a recording medium recording a sales promotion data processing method capable of efficiently processing sales promotion data corresponding to an individual consumer by using a computer program. And
Another object of the present invention is to provide a virtual shopping mall system that can streamline the distribution of drugs that require dispensing by a pharmacist and efficiently process sales promotion data corresponding to individual patients. And

[0009]

SUMMARY OF THE INVENTION The present invention is to achieve the above object. (Claim 1) The invention according to claim 1 is a data processing device for sales promotion used in a virtual shopping mall developed on a communication line, and a plurality of merchandise providers who dispatch and process ordered merchandise. It is a virtual shopping mall system including a transaction processing device having the same and a delivery processing device that manages storage, settlement agency, shipping, and the like of a product provided by a product provider.

[0010] The sales promotion data processing apparatus is a member for recording member basic data including member name, address, attribute data including a settlement method for merchandise purchase, and response data based on a questionnaire conducted for the member. Basic database, first cluster analysis operation means for classifying member basic data into clusters, member cluster classification database for recording data classified by the first cluster analysis operation means, and provided goods provided in virtual shopping malls In a virtual shopping mall, a data evolution calculation means for making multi-evolution data using purchase history data and cluster classification data when browsing browsing data and purchasing a product, a multi-evolution database for recording multi-evolution data, Cluster offerings offered Similar second cluster analysis operation means, a product cluster classification database that records data classified by the second cluster analysis operation means, and accumulated in the member's multi-evolution database when a member accesses a virtual shopping mall Matching control means that allows members to browse products based on the cluster classification of the multi-evolution data as matching product data, and when there is a purchase request from a member, call the attribute data of the member from the member basic database and purchase Order procedure control means for specifying the requested product and transmitting the product to the product provider, and transmitting the purchase record to the purchase record database to create a database.

Further, the transaction processing device receives an order from a sales promotion data processing device through a communication line, and performs an order / shipment processing means for carrying out a product shipping process. A product database that records the characteristics of products that can be provided. Further, the delivery processing device includes a logistic processing device that manages storage, settlement, and shipping of a product provided by a product provider. The invention according to claim 1 relates to a virtual shopping mall system characterized by the above. (Glossary) “Attribute data” is information necessary to identify an individual. This includes data (for example, name and address) for delivering the purchase application product, and data (for example, credit company name, card number, personal identification number, etc.) for paying for the product purchase price. The "questionnaire" in the "questionnaire answer data" is a questionnaire for knowing information, such as a member's preference and interest, that cannot be understood from attribute data. The “cluster classification” is a classification for capturing living environment and consumption tendency based on data such as age, gender, and residence. In the case of the present invention, classification results are scored for each member so that computer processing is easy. The “multiple evolution data” is an aggregate of member cluster classification data classified by the first cluster analysis operation means and a plurality of files created for each type of product / service. If the purchase history data is already created for the same product / service, the data is stored in the product / service file according to the cluster classification. On the other hand, if it is the first product / service, a new file is created for the product / service along with the cluster classification.
The “purchase history data” is defined as the minimum data of the active data of “who, when and what purchased the member”.
However, the data for browsing the provided products together with the browsing record,
Passive data such as “Which member browsed provided product browsing data but did not purchase it” can be used as “purchase history data”.

(Operation) A candidate who wants to join the mall registers attribute data and questionnaire response data and joins. The attribute data and the questionnaire response data are recorded in the member basic database. The member basic data recorded in the member basic database is classified into clusters by the first cluster analysis operation means, and the data is recorded in the member cluster classification database. The member who has joined browses the provided product browsing data provided in the virtual shopping mall and, when making a decision to purchase a product, transmits purchase history data for purchasing the product. The data evolution calculation means uses the cluster classification data and the purchase history data as multi-evolution data, and records the data in the multi-evolution database. The multi-evolution data is transmitted to the merchandise provider by the transmission means. The multi-evolution data is data based on cluster classification data and purchase history data based on member basic data, and thus is useful for a product provider to create an advertisement with a high hit rate. It is also easy to predict the number of units sold, which is useful for new product development and product production planning. Also, for products that are premised on small-scale sales and limited-time sales,
Helps increase the ad hit rate.

[0013] (Claim 2) The invention according to claim 2 is a sales promotion data processing device used in a virtual shopping mall developed on a communication line, and includes a member name, an address, and a method for settlement of product purchase. A member basic database for recording member basic data including attribute data including the attribute data and answer data based on a questionnaire given to the member; a first cluster analysis operation unit for clustering the member basic data; and a first cluster analysis operation Multiplexing using a member cluster classification database that records data classified by means of means, and purchase history data and cluster classification data when purchasing products by browsing provided product browsing data provided at a virtual shopping mall Data evolution calculation means for evolving data and multiple evolution data Clustering database that records data classified by the second cluster analysis and calculation means, and a multi-evolution database that records data provided by the virtual shopping mall, and a second cluster analysis and calculation means that classifies the goods provided in the virtual shopping mall And a matching control means for allowing a member to browse products based on the cluster classification of multi-evolution data stored in the multi-evolution database of the member as matching product data when the member accesses the virtual shopping mall. The present invention relates to a sales promotion data processing device provided.

(Claim 3) The invention according to claim 3 limits the sales promotion data processing apparatus according to claim 2. That is, when a member accesses a virtual shopping mall, only products of the corresponding classification classified by the second cluster analysis operation means based on the cluster classification of the multi-evolution data stored in the multi-evolution database of the member. The present invention relates to a data processing device for sales promotion provided with a navigation means for guiding to a special mall that handles the data.

(Operation) The members have already been classified by the cluster analysis operation means into what kind of group they belong. Then, the member accesses the virtual shopping mall. Then, the navigation means guides the member to a dedicated mall where the member is classified.

(Claim 4) The invention according to claim 3 limits the data processing device for sales promotion according to claim 2 or 3. That is, the present invention relates to a data processing device for sales promotion, comprising a filter means for sifting basic member data for cluster classification. (Explanation of terms) The "filter means" is a means for performing a filtering process for preventing a member having a very low possibility of purchasing a product from the shopping mall from being classified into a cluster. Whether to screen or not is determined by the score in the member basic data.

(Operation) Members who have a very low possibility of purchasing products at the shopping mall are screened out by the filter means, so that the subsequent cluster classification,
The hardware resources can be used effectively without the need for an operation step for changing to multi-evolution data.

(Claim 5) The invention according to claim 5 limits the data processing device for sales promotion according to any one of claims 2-4. That is, the present invention relates to a data processing device for sales promotion, comprising a transmission means for transmitting a new product development tendency predicted from the multi-evolution data processed by the data evolution calculation means to a product provider.

(Claim 6) The invention according to claim 6 limits the data processing device for sales promotion according to any one of claims 2-5. In other words, a sales promotion data processing device characterized by comprising a member basic data updating means for updating member basic data at regular intervals in consideration of past product purchase history recorded in a purchase record database. Related. If the environment surrounding members changes due to the passage of time, and as a result it differs from the questionnaire response data that was given when you requested to join this mall, it will be taken into account in the past product purchase history Fix it. The renewal period is, for example, one year or six months or an appropriate period in accordance with the bonus payment timing.

(Claim 7) The invention according to claim 7 is a data processing procedure for sales promotion used in a virtual shopping mall developed on a communication line, and a number of merchandise providers who process the ordered merchandise. And a virtual shopping mall operation method that includes a transaction processing procedure of each of the above and a delivery processing procedure for storage, settlement agency, shipping, and the like of a product provided by a product provider. First, the data processing procedure for sales promotion described above stores the member basic data including the member name, the address, the attribute data including the settlement method for merchandise purchase, and the answer data based on the questionnaire given to the member to the member basic database. A member basic recording procedure for recording, a first cluster analysis operation procedure for clustering the basic member data, a member cluster classification procedure for recording the data classified by the first cluster analysis operation means into the member cluster classification database, and a virtual A data evolution calculation procedure for making multi-evolution data using purchase history data and member cluster classification data when browsing provided product browsing data provided at a shopping mall and purchasing a product, and recording multi-evolution data. Multi-evolution data recording procedure and virtual shopping A second cluster analysis calculation procedure for clustering the products provided at the mall, a product cluster classification procedure for recording data classified by the second cluster analysis calculation procedure in a product cluster classification database, and virtual shopping from members When a mall is accessed, there is a matching control procedure that enables a member to browse products based on the cluster classification of multi-evolution data stored in the multi-evolution database of the member as matching product data, and a request for purchase by the member. In this case, the order data control procedure for calling the attribute data of the member from the member basic database, identifying the purchase request product and transmitting the purchase request product to the product provider, sending the purchase record to the purchase record database and converting the purchase record into a database. I have. Further, the transaction processing procedure includes a product database conversion procedure in which a product provider records characteristics of a product that can be provided to a virtual shopping mall in a product database, and an order from a sales promotion data processing procedure through a communication line. Receiving and shipping procedures for receiving and shipping products. Further, the delivery processing procedure includes a logistic processing procedure for managing storage, settlement agency, shipping, and the like of the product provided by the product provider. The present invention relates to a virtual shopping mall operation method having the above procedure.

(Claim 8) The invention according to claim 8 is a sales promotion data processing method used in a virtual shopping mall deployed on a communication line. A member basic data recording procedure for recording in the member basic database member basic data including member name, address, attribute data including a settlement method for merchandise purchase, and response data based on a questionnaire conducted for the member; First cluster analysis calculation procedure for classifying data into clusters, member cluster classification procedure for recording data classified by the first cluster analysis calculation means in a member cluster classification database, and browsing of goods provided at a virtual shopping mall Data evolution calculation procedure for making multi-evolution data using purchase history data and member cluster classification data when browsing data and purchasing a product, multi-evolution data recording procedure for recording multi-evolution data, and a virtual shopping mall Products offered at And a second cluster analysis algorithm to cluster classification, and product cluster classification procedure to be recorded on the second cluster analysis algorithm cluster classification data products cluster classification database by, when there is access to a virtual shopping mall from the member,
And a matching control procedure for allowing the member to browse products based on the cluster classification of the multi-evolution data stored in the multi-evolution database of the member as matching product data.

(Claim 9) The invention according to claim 9 limits the sales promotion data processing method according to claim 8, and when a member accesses a virtual shopping mall, the member's Sales promotion data processing with a navigation procedure that leads to a dedicated mall that handles only products of the corresponding classification classified by the second cluster analysis calculation means based on the cluster classification of the multi-evolution data stored in the multi-evolution database According to the method.

(Claim 10) The invention according to claim 10 is
The data processing method for sales promotion according to claim 8 or 9 is limited, and relates to a data processing method for sales promotion including a filtering procedure for sifting basic member data for cluster classification.

(Claim 11) The invention according to claim 11 is characterized in that
A method for processing a sales promotion data according to any one of claims 8 to 10, wherein a new product development tendency predicted from the multi-evolution data processed by the data evolution calculation means is provided by a product provider. The present invention relates to a sales promotion data processing method provided with a transmission means for transmitting data to a sales promotion.

(Claim 12) The invention according to claim 12 is
A method for processing sales promotion data according to any one of claims 8 to 11, wherein the basic member data is taken into account at regular intervals based on past product purchase histories recorded in a multi-evolution database. The present invention relates to a sales promotion data processing method provided with a member basic data updating means for updating the data.

(Claim 13) Claim 13 relates to a recording medium recording a program to be executed by a computer. The program includes a data processing procedure for sales promotion used in a virtual shopping mall deployed on a communication line, a transaction processing procedure possessed by each of a number of merchandise providers who ship and process ordered merchandise, and information from merchandise providers This is for causing a computer to execute a virtual shopping mall operation method including a delivery processing procedure for storage, settlement, delivery, and the like of the provided product. The sales promotion data processing procedure records member basic data including member name, address, attribute data including a settlement method for merchandise purchase, and response data based on a questionnaire conducted for the member in the member basic database. Member basic data recording procedure, first cluster analysis operation procedure for clustering the member basic data, member cluster classification procedure for recording the data classified by the first cluster analysis operation means into the member cluster classification database, virtual shopping A data evolution calculation procedure for multi-evolution data using purchase history data and member cluster classification data when browsing provided product browsing data provided at a mall and purchasing a product,
A multi-evolution data recording procedure for recording multi-evolution data,
A second cluster analysis calculation procedure for clustering the products provided in the virtual shopping mall,
A commodity cluster classification procedure for recording data classified by the second cluster analysis calculation procedure in a commodity cluster classification database, and a multi-evolution stored in the member's multi-evolution database when a member accesses a virtual shopping mall. A matching control procedure that allows members to view products based on the data cluster classification as matching product data, and when a member purchase request is received, the member's attribute data is called from the basic member database to identify the purchase request product Order procedure control procedure for transmitting the purchase record to the purchase record database and converting the purchase record into a database. The transaction processing procedure is a commodity database recording procedure in which a commodity provider records the characteristics of a commodity that can be provided to a virtual shopping mall in a commodity database, and receives an order from a sales promotion data processing procedure through a communication line, Orders for shipping products
Shipping processing procedure. The delivery processing procedure is as follows:
It has a logistic processing procedure that manages storage, settlement agency, shipping, etc. of the product provided by the product provider.

(Claim 14) The invention according to claim 14 is
The present invention relates to a recording medium storing a program to be executed by a computer. The program is a program for causing a computer to execute a data processing method for sales promotion used in a virtual shopping mall deployed on a communication line, and includes attribute data including a member name, an address, and a payment method for merchandise purchase. A member basic record procedure for recording member basic data including answer data based on a questionnaire conducted to the member in the member basic database, a first cluster analysis operation procedure for clustering the member basic data, and a first cluster A member cluster classification procedure for recording the data classified by the analysis and calculation means into the member cluster classification database, and purchase history data when purchasing and merchandise by browsing provided product browsing data provided at the virtual shopping mall; Member cluster classification day , A data evolution calculation procedure for making multi-evolution data using multi-evolution data, a multi-evolution data recording procedure for recording multi-evolution data, a second cluster analysis operation procedure for clustering the products provided in the virtual shopping mall, A commodity cluster classification procedure for recording data classified by the two-cluster analysis calculation procedure in a commodity cluster classification database, and multi-evolution data stored in the member's multi-evolution database when a member accesses a virtual shopping mall. And a matching control procedure that allows members to browse products based on the cluster classification as matching product data. (Supplementary Note) The procedure of the method invention described in any one of claims 9 to 12 may be a computer-readable program, and the program may be incorporated as an additional program into the program according to the invention described in claim 14. ,
Of course it is possible.

(Claim 15) The invention according to claim 15 is
Pharmaceutical sales data processing equipment used in virtual shopping malls deployed on communication lines, transaction processing equipment of each pharmacy that dispatches and processes ordered medicines, and storage, settlement agency and dispatch of pharmaceuticals provided by pharmacies A virtual shopping mall system including a shipping processing device for controlling the drug sales data processing device,
Member basic database that records member basic data consisting of member name, address, attribute data including payment method of drug purchase, and answer data based on questionnaire conducted for the member, and cluster classification of member basic data A cluster analysis calculation means, a member cluster classification database for recording data classified by the first cluster analysis calculation means, and a drug purchase by browsing provided drug browse data provided at a virtual shopping mall; Data evolution calculation means for making multi-evolution data using purchase history data and cluster classification data, multi-evolution database for recording multi-evolution data, and second cluster analysis for cluster classification of drugs provided in virtual shopping malls Arithmetic means and a second class A drug cluster classification database for recording data classified by the cluster analysis calculation means, a code assignment means for assigning an encrypted code to a dispensing instruction, a patient and / or a doctor (or medical institution); When a member accesses the virtual shopping mall, the member accesses the website of the doctor (or medical institution) and checks the authenticity of the dispensing instruction using the encrypted code. Matching control means for allowing a member to browse a drug based on the cluster classification of the multi-evolution data stored in the multi-evolution database and which can be replaced within the range of the instructions of the dispensing instruction as matching drug data, When a member's purchase request is received, the attribute data of the member is called from the member basic database and purchase Identify the medicine and send it to the contract pharmacy, send the purchase record to the purchase record database and create a database, order procedure control means, and confirm that the medicine specified in the dispensing instruction sheet was certainly delivered to the patient The transaction processing device receives an order from the drug sales data processing device via a communication line, and performs an order / shipment processing means for carrying out a drug shipping process. And a drug database that records the characteristics of the drugs that can be provided to the mall.
Provided is a virtual shopping mall system having a logistic processing device that manages shipping and the like.

[0029]

DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, the present invention will be described in more detail with reference to embodiments and drawings. FIG. 1 is a conceptual diagram showing the entire system. FIG. 2 is a diagram illustrating the concept of cluster analysis. FIG. 3 is a diagram illustrating the concept of multiple evolution of data. FIG. 4 is a conceptual diagram showing data of a product provided by a product provider. FIG. 5 is a conceptual diagram showing how basic data of a provided product is improved to data for a network. FIG. 6 is a conceptual diagram of a browsing screen when a member accesses a virtual shopping mall.

(FIG. 1) FIG. 1 shows an outline of a virtual shopping mall according to an embodiment of the present invention.
“Member” is a communication line user who can access the virtual shopping mall. The “system operator” is the person who operates and manages this virtual shopping mall. "Product provider"
There is a product maker, an agency, or the like that provides products / services (in some cases, referred to as “products”) sold in the virtual shopping mall. The virtual shopping mall according to the present invention includes all for-profit or non-profit companies, organizations, and individuals that can provide goods and services.

First, a member sends "member basic data" to the system operator when becoming a member of the virtual shopping mall. The basic member data includes attribute data and questionnaire data (for details, see FIG. 2). The attribute data is obtained by, for example, writing or answering by an applicant for membership in an "attribute data sheet" prepared in advance. Such basic member data can be changed due to marriage, birth or growth of a child, change of job, change of hobby, and the like. Also, the questionnaire data is the member's preferences,
This is a questionnaire for knowing information, such as interests, that cannot be understood from attribute data.
The questionnaire is such that if "s, No" is selected, the purchase characteristics and preferences of the member can be grasped to some extent (FIG. 2).

The characteristics and characteristics of the members obtained based on the questionnaire data are quantified as cluster classifications by the first cluster analysis calculation means. This is also expected to change due to the rule of thumb that the answer to the questionnaire does not always convey the truth, changes in the environment surrounding members, and the like. Therefore, it is preferable to update the member cluster classification data at regular intervals in consideration of the past product purchase history recorded in the multi-evolution database. The transmission means of the basic member data may be a communication line, but may be mail or facsimile. In particular, credit card numbers, personal identification numbers, and the like may be sent by mail due to security concerns.

When a member becomes a member, a member ID and a password as an access right to the virtual shopping mall are mailed from the system operator. Using the member ID and password, the user enters the virtual shopping mall using a computer and a telephone line, and browses “browsing data” of the provided product. If there is a product that the user wants to browse and purchase, the purchase decision is transmitted to the system operator as “purchase history data”. The purchase history data is sent to the data evolution calculation means as the product purchase history data, and then stored in the multi-evolution database.
In addition, the “purchase history data” may include negative data indicating that “any member browsed provided product browsing data but did not purchase it”. Furthermore, when the product / service appears in a sale held at the end of the season, it is possible to make a reservation indicating that the user is willing to purchase the product at what discount. Thus, the merchandise provider can obtain various types of information that cannot be obtained in a normal sales form. For example, the appropriate price of the product, the magnitude of potential demand, and the like. In practical terms,
It is possible to substantially avoid unsold products, and also benefit from additional production depending on the number of reservations. Members can also purchase products for the next season at low prices. "Purchase History Data"
Further, data for requesting a pickup service for similar or identical products already held by the member can be entered. For example, the arrival of a new product eliminates the need for an old similar or identical product for many electrical products, and the vibration-proof materials and cardboard boxes used for packaging are also ones that are difficult to dispose of. These are unpacked when the purchased product arrives, leaving only the product, and the anti-vibration material, the cardboard box, and the old product are collected. The virtual shopping mall is a mega virtual shopping mall that expects millions to tens of millions of subscribers. Therefore, by collecting and recycling old products of the same type, global resources can be effectively used.

The products and services handled in this virtual shopping mall include nursing care and talking partner services for the elderly, sales, delivery, and taking of drugs including drugs that require dispensing by a pharmacist, or through a communication line using a video screen. Including a simple diagnosis of the doctor. Some of these are not currently in place or are restricted by law in the way they are distributed and / or practiced, but at the request of the times or when such restrictions have been lifted. Then, it can be handled in this virtual shopping mall. Upon receiving the purchase history data, the system operator determines the data for identifying the product, the member's address indicating the purchase intention from the member basic database,
Send data such as name and payment method to the product provider. The merchandise provider uses the data as “purchase application data” and uses the data to directly ship the purchased merchandise to the member or via a dedicated carrier. Therefore, wholesalers and wholesalers are not required.

The above-mentioned basic member data is subjected to a cluster analysis and becomes a “cluster classification database” (for details, see FIG. 2). The cluster classification is a classification for capturing a living environment and a consumption tendency based on attribute data and questionnaire data. In the case of the present embodiment, the classification results are scored for each member in the eight directions of tradition, self-sacrifice, life enjoyment, self-sufficiency, individualization, active mainstream, genuine first-class, and career advancement so that computer processing is easy. Become FIG.
In the questionnaire sheet shown in “2.
Do you like it "No" to "" and "Yes. Is there a lot of white shirts?"
He is a common sense person as a middle-aged worker, and evaluates the cluster classification “tradition” as “5”. "Yes" to "Would you like to buy souvenirs for your family on a business trip?" And "No" to "Do you want to buy what you want immediately?" Is a good father-like person who suppresses to some extent, and the cluster classification of “self-sacrifice” is evaluated as “7”. Less than,
The members are accurately clustered according to a variety of general, but carefully planned, questions so that the characteristics and characteristics of the respondents can be ascertained.

The cluster classification database is processed and analyzed from various aspects together with the purchase history data, converted into multi-evolution data by the data evolution calculation means, and becomes a multi-evolution database (details in FIG. 3). In the present invention, cluster classification is performed for both “customers” and “products / services”, and information on the products / services selected by the matching is preferentially provided to customers accessing the virtual shopping mall. I do. In this way, it is intended to provide information on goods and services that match the characteristics and characteristics of customers and promote sales. It is said that the "personality" of a customer is a combination of a number of basic characteristics. Then, an aggregate of basic characteristics having different intensities forms a value unique to the person. These values determine the person's personality and lifestyle, but at the same time, they play an important role in purchasing goods and services. From the viewpoint of market research, attempts to study the relationship between actual purchasing behavior and the psychological factors of humans or incentives that determine purchasing behavior have been made in the past, and the present invention considers this in terms of cluster classification. It is embodied.

The above-mentioned eight lifestyles used in this embodiment are also “achievement”, “submission”, “order”, “obviousness”,
"Autonomy", "sociability", "analysis", "dependency", "dominance", "self neglect", "help", "change", "patience", "heterosexuality", "aggression" 1 that humans have
The five basic characteristics are categorized and classified according to their strength. In the present embodiment, the matching control is performed using the same criterion for the cluster classification on the product side, but the classification is performed using another type of cluster classification, and this is associated with the cluster classification on the customer side. It is also possible to perform matching control. For example, based on factors of a person involved in purchasing behavior of a product, products are hierarchically classified based on “motivation” affecting purchase and situation-dependent problem recognition (“psychological wallet”) upon purchasing.
The former can be categorized into three categories: 1) satisfaction of activity and interest, 2) relieving tension and anxiety, and 3) task-oriented. The latter are: 1> pocket money factor, 2> daily necessities factor, 3> property factor, 4> culture and culture factor, 5> eating out factor, 6> living standard raising factor, 7> living security and security factor, 8 > A little luxury factor,
And 9>Women's goods factor.

Predict what customers want from a group of products of the same type, for example, a Y-shirt,
Consider what information about Y-shirts is available to customers for viewing. In the case of Y-shirts, there are various types such as colored ones, white ones, patterned ones, striped ones, and elaborate ones of colors and cuffs. White Y for customers with a high “traditional” cluster classification
Provide orthodox shirts for customers to browse. On the other hand, if a customer with a low cluster classification of “tradition” and a strong desire for “individualization” requests information about a Y-shirt, the design is elaborate, though it is patterned or white. Make the dress shirt available to customers for viewing. A similar technique can be employed when selecting commodities. For example, suits and Y-shirts, such as wanting others to look pretty in terms of "motivation" or not wanting them to always wear the same thing 2) Eliminating tension and anxiety It can be said that it is strong. Also, in terms of "psychological wallet", 2
> It can be said that the factor of daily necessities is strong. Therefore,
Products such as suits and Y-shirts can be said to be products that match customers with a high “traditional” cluster classification.

As shown in detail in FIG. 3, the multi-evolution data is a product / service obtained from member cluster classification data obtained by clustering response data based on a questionnaire and a large number of purchase history data. And data composed of a large number of files for each. For example, KN joined the mall in January 1999, and through a winter bargain sale on January 15, a suit and a white Y-shirt, a digital camera on February 26, and a personal computer on April 29. Purchased three books on software and three books on communication lines, and applied for an application for a computer class held by Company D on May 1st.
Suppose you purchased a laptop computer, scanner and printer of Company C on the 20th, purchased English translation software of Company B on June 27, and a white Y-shirt on July 7.

At the time of enrollment, the information on Mr. KN is only member cluster classification data. That is,
Name, address, age, occupation,
Information on whether or not you are married, whether or not you have children, and the payment of the product price (credit card company name, card number, PIN)
And the like, and answer data based on the questionnaire. And the first shopping on January 15 was only one suit and white Y-shirt through the winter bargain sale, which is almost the same as the result of clustering the response data based on the questionnaire. That is, there is a tendency to respect tradition in choosing a suit and a white Y-shirt as shopping, and purchasing a winter suit at the end of the season is a typical phenomenon of self-sacrifice. Further analysis reveals that KN purchases a "white Y-shirt" twice.
You can analyze that he is a serious and hard worker. Therefore, the cluster classification for “tradition” evaluates as “7”, whose degree is remarkable, rather than “5”, which is medium. This difference in evaluation is preferably corrected by updating or multiplexing the member basic data performed at regular intervals. In addition, since it can be expected that the purchase date will be after the bonus, it can be analyzed that the patient usually endures without buying his own. Therefore,
The cluster classification for “self-sacrifice” matches “7”.

On the other hand, a series of shopping from February 26 to June 27 can be regarded as an expression of self-sufficiency of wanting to become a personal computer, and a considerable period has already passed since the spread of personal computers. Therefore, cluster classification as a career-oriented, active mainstream corresponds to a low score. These purchase history data may be created each time there is a request for browsing the data for browsing provided products for a new product or service, or when there is a purchase request after the browsing request. The data evolution calculation means analyzes the purchase history data and, if a file has already been created for the same product / service, accumulates the data in a file according to the cluster classification. If it is a new file, a new file is created for the product / service along with the cluster classification. As described above, in the virtual shopping mall, the selection of the product type itself is usually performed by a member who is a customer. Therefore, the virtual shopping mall selects what type of product or service the member wants from the product or service selected by the member according to the cluster classification. As described above, when a member accesses a virtual shopping mall without any particular goal, the type of the product / service itself can be selected based on the cluster classification and provided to the member for browsing. .

In this embodiment, a Y-shirt, which is the same product as the shopping on January 15 on July 7, is purchased. In this case, when a member accesses the virtual shopping mall and requests information about the Y-shirt, a multi-evolution data stored in the multi-evolution database is used to convert a traditional and general one (3. Point)
Is provided for member browsing. In this embodiment, the member again selects the white Y-shirt and makes a purchase request. So, 7
The data evolution calculation means that received the purchase history data on January 7th, without creating a new file,
In the file for the Y-shirt created based on the purchase history data on the 5th, the purchase history for July 7 is recorded according to the cluster classification. In other shopping, since it becomes the purchase history data of new products and services, a new file according to the cluster classification is created, and the products and services related to the purchase history data are included in the appropriate cluster classification. Record.

On the other hand, the "provided product basic data" (detailed in FIG. 4) prepared in advance by the product provider is also classified into clusters (detailed in FIG. 5) by the second cluster analysis operation means. The criterion of the cluster classification used in the second cluster analysis calculation means may be the same as the cluster classification used when the first cluster analysis calculation means analyzes the member basic data. Alternatively, it is possible to prepare a unique product or service that is unique to the characteristics of the product or service, and associate it with the cluster classification used when analyzing the basic member data. The provided products classified by the second cluster analysis operation means are stored in the host computer of the system operator together with the multi-evolution data.

The host computer of the system operator is provided with the matching control means according to the present invention. Then, when a member accesses the virtual shopping mall, information on the matching product selected by the matching control means, that is,
One or more products or services that are most likely to be purchased in the cluster classification (preferably about three types of products and services) are provided to members for browsing via a communication line (see FIG. 6 for details). ).

In the matching control means, first, the member accesses the virtual shopping mall and recognizes that there has been a request for information on a certain kind of product / service. Next, it is determined whether or not the product / service requested by the member exists in the multiplex file of the product / service. If a file for the product / service already exists in the multiplexed file, the above-mentioned matching product is selected from the product cluster classification database using the accumulated past purchase history data for each cluster classification as knowledge. This matching product is provided to members for browsing via a communication line.

On the other hand, if the file for the product / service does not exist in the multiplexed file, the cluster classification of the member basic data of the member recorded in the member cluster classification database is used as knowledge, and the above-mentioned matching product is used. Select from the product cluster classification database. In the present embodiment, among the basic member data, data obtained by clustering response data based on a questionnaire is used, but attribute data can also be considered. The use of the cluster classification of the purchase history data and the member basic data is performed in principle by selecting goods or services of the same or corresponding cluster classification. Of course, associations based on various theories obtained from market research can be added or alternatively performed.

When a purchase request is made from the member to the virtual shopping mall, the order / shipment processing means carries out a product shipping process. In this shipping process, the contents of the order from the customer, the specification of the product, the price, the desired delivery date, and the shipping method are transmitted to the product provider via the communication line. In response, the merchandise provider automatically replies with a confirmation email. The goods provider is obliged to provide the goods / services when the goods that can be provided to the virtual shopping mall are transmitted to the virtual shopping mall via the communication line. Therefore, no changes can be made at this point. However, if it is not possible to meet the customer's request regarding the desired delivery date and shipping method, the change can be notified and the confirmation can be obtained. At this point, if both parties cannot confirm and / or agree, the order itself from the customer can be canceled.

The goods provided by the goods provider can be stored, settled on behalf of the merchandise, sent, or the like, or can be used by an external independent company. In any case, a logistic processing device that manages them is installed in a delivery processing device provided in a computer.
The shipping information (shipping date) from the product provider and the receiving information (from the customer himself, from the carrier, or from the agent at the place designated for delivery) are transmitted to the virtual shopping mall as appropriate and distributed. It is preferable to be able to always grasp the movement of the stage. It is preferable to perform follow-up for maintaining good communication between the member and the virtual shopping mall, such as questions, complaints, repeat orders, etc. regarding the goods and services received from the member.

(FIG. 3) In the above-described embodiment, a new file is created and multiplexed when a member requests information on a new product / service. However, based on member cluster classification data, particularly, a questionnaire. The answer data portion can be similarly multiplexed or updated. The part of the answer data based on the survey is also
It can change over time and is reflected in the cluster classification. In other words, if a product / service for which an information request has been made by a member exists in the multiplexed file for the product / service, the flow is the same as described above. On the other hand, if there is no product / service requested by the member in the multiplexed file, the multiplexed member cluster classification data or the updated member cluster classification data is used. Also, as purchase history data for Mr. MY,
It is assumed that there is data such as “Lotion of company C on August 10, 1999, and a meal ticket for F restaurant on August 29, 1999”.

From the data of “company C lotion” for Mr. MY and the purchase date, it is possible to analyze the purchase of a branded product on a bargain date. In addition, from the data of the purchase of the “F restaurant meal ticket”, it is analyzed that the OL likes eating and walking. Therefore, the cluster classification for “life enjoyment” can be evaluated as “8”. Based on this analysis, the data evolution calculation means converted the specific data such as “brand product special sales enthusiast, sensitive to gourmet information…” into “general and abstract classification” called “cluster classification” as “product proposal data to MY”. Convert it into a database and store it as multi-evolution data.

(FIG. 4) FIG. 4 schematically shows basic data of a product to be exhibited in a virtual shopping mall by a product provider. Examples of the product provider include a software production company B, a toy maker D, a C brand Japanese general agent, an F restaurant chain, and an H florist. Data on each product includes price, specifications, materials, service contents, user's appropriate age, sales volume, sales time, and the like. For example, “address book software” of a software production company B prepares basic data such as price, release time of the latest version, appendix, usage, and adaptive OS. The "address book software" is designed to print out what should be handwritten using a pen or a fountain pen with a printer linked to a computer. It is highly evaluated as a cluster classification such as "" Further, in the "pair meal ticket" of the F restaurant chain, prices, themes, and bonuses are prepared as basic data. Meals at restaurants can be highly evaluated by, for example, cluster classification in terms of “self-sufficiency” and “individualization orientation”.

(FIG. 5) FIG. 5 shows a state in which the basic data of the provided product is classified into classes by using the cluster classification by using the second cluster analysis calculation means to obtain data for the net. Based on the basic data of the "address book software" described above, the target segment of this product is subjected to cluster analysis calculation. In the present embodiment, the cluster classification of “active mainstream” or “recent career” is evaluated as high, for example, “7” or higher. The cluster classification of “tradition” or “self-sacrifice” is evaluated as low, for example, “4” or “3”. Thus, for example, KN
Even if he is interested in computer software and there is an information request, this virtual shopping mall introduces other general software as browsing candidates and `` address book software '' has a lower priority Will be treated. Note that the matching control means is provided with advice data for facilitating browsing by a target group, for example, “super businessman” or “personal computer owned OL”, from the members classified into clusters, and constructed so as to be used for browsing the group. You can also. Similarly, the basic data of the “pair meal ticket” described above is “2
It is also possible to construct the advice data so that members belonging to any of the two groups of "unmarried persons in their thirties to thirties" and "living in the Kanto area" can be viewed.

(FIG. 6) FIG. 6 is a diagram for explaining the navigation means. Member KN has already been classified by the cluster analysis computing means as belonging to the group "general businessmen". Then, member KN accesses the virtual shopping mall. Then, the navigating means guides the member to a mall dedicated to “general businessmen”. The exclusive mall contains software, English language teaching materials, stationery and other items that would be intriguing to purchase by ordinary businessmen.

Classified as a general businessman
If KN purchases a product introduced in the exclusive mall, the purchase history data will be added, and members and products will be operated as if the "cluster classification" was correct. On the other hand, if Mr. KN did not purchase the product introduced in the dedicated mall, the classification is reconstructed as the "cluster classification" of the member and / or the product was incorrect. In principle, the latest data is used for multi-evolution data, but if member cluster classification data remains as multiplexed data, a system can be constructed so that old data can be used. is there. The members of the virtual shopping mall, who are members, sometimes have selfish and mood-like qualities,
In such a case, instead of the latest member cluster classification data, the past member cluster classification data determined to be closest to the feeling at the time of access is used.

(Responsibility for Commodities) In a conventional shopping mall, many specialty stores sell individual commodities. Complaints and inquiries regarding the sold products are individually handled by the specialty stores or the manufacturers that manufacture the products. Shopping malls on communication lines (so-called "virtual malls") are basically based on a direct contract between the seller and the consumer.
Not responsible for the goods. However, the virtual shopping mall exemplified in the present embodiment has a format in which the product provider is not directly visible to the members, and the system operator is responsible for the product. Therefore, members can enjoy shopping with confidence.

FIG. 7 is a conceptual diagram in the case where a pharmacist handles a medicine requiring dispensing in the virtual shopping mall. Face-to-face with a patient (including the elderly, etc. in need of care) and a physician, or by video diagnosis using a communication line, the administration of a specific drug to a specific patient is instructed. Here, an encrypted code is given to the dispensing instruction, the patient and / or the doctor (or medical institution). This is because information is leaked at the distribution stage and the medicine described in the dispensing instruction is not sent to anyone other than the patient. The patient accesses the virtual shopping mall through the communication line and requests drug information. The virtual pharmacy of the virtual shopping mall accesses the website of the doctor (or medical institution) and checks the authenticity of the dispensing instruction using the encrypted code.

The virtual pharmacy makes the member's name, drug name, drug price, efficacy, dosage method, and other information (one or more) replaceable within the range of the instructions in the dispensing instruction available to the member. In response to a member's purchase request, the virtual shopping mall retrieves the member's attribute data from the member's basic database and specifies the drug to be purchased and sends it to the contracted pharmacy (which can also be installed in a general product distribution center). I do. At the same time, drug purchase records are stored in the purchase record database. Regarding the handling of drugs, it is required to confirm that the drugs specified in the dispensing instructions have been delivered to the patient. In the present embodiment, the dispensing instruction and the encrypted code given to the patient are confirmed by transmitting from the patient to the virtual shopping mall. If there are any special instructions on how to take, when there is access to delivery confirmation, the instructions will be given to that effect. It is also preferable to provide a service for notifying members via a communication line when it is time to take the medicine. It is desirable to communicate between the doctor and the patient who is the patient during taking the indicated medicine or after a certain period of time in order to check the effect.

When the same member requests information on the same kind of medicine, the medicine is preferentially browsed from a particular medicine of a particular manufacturer classified into a cluster based on the past records stored in the purchase record database. To do. For example, if you prefer a product from a well-known pharmaceutical company, the “traditional” cluster classification is as high as “6” or “7”, and if you want to purchase a new drug when it is developed, Cluster classification of “Mainstream” should be “7” or higher.
Based on this, the matching control means selects a matching product. Such a system is a gospel for people who have difficulty going out to get medicine even once or twice a week, such as the elderly living alone, bedridden or the elderly with physical disabilities. Becomes It should be noted that over-the-counter drugs that do not require dispensing by a pharmacist can be handled in the same manner as ordinary products.

[0059]

According to the first aspect of the present invention, it is possible to provide a virtual shopping mall system that can streamline distribution and efficiently process sales promotion data corresponding to individual consumers. Further, according to the inventions of claims 2 to 6, a sales promotion data processing device capable of efficiently processing sales promotion data corresponding to individual consumers can be provided. According to the seventh aspect of the present invention, it is possible to provide a virtual shopping mall operation method that can streamline distribution and efficiently process sales promotion data corresponding to individual consumers.

According to the invention of claims 8 to 12, it is possible to provide a sales promotion data processing method capable of efficiently processing sales promotion data corresponding to individual consumers. Further, according to the invention of claim 13, there is provided a technology for realizing, by a computer program, a virtual shopping mall operation method that can streamline logistics and efficiently process sales promotion data corresponding to individual consumers. Was completed. Claim 14
According to the invention described in (1), it is possible to provide a technology for realizing, by a computer program, a sales promotion data processing method capable of efficiently processing sales promotion data corresponding to an individual consumer. Further, according to the invention of claim 15, it is possible to provide a virtual shopping mall system which can streamline the distribution of medicines requiring dispensing by a pharmacist and efficiently process sales promotion data corresponding to individual patients. Was completed.

[Brief description of the drawings]

FIG. 1 is a conceptual diagram showing the entire system.

FIG. 2 is a diagram illustrating the concept of cluster analysis.

FIG. 3 is a diagram showing the concept of multiple evolution of data.

FIG. 4 is a conceptual diagram showing data of a product provided by a product provider.

FIG. 5 is a conceptual diagram showing how basic data of a provided product is improved to data for a network.

FIG. 6 is a conceptual diagram of a browsing screen when a member accesses a virtual shopping mall.

FIG. 7 is a conceptual diagram in a case where a pharmacist handles a medicine requiring dispensing in the virtual shopping mall.

 ──────────────────────────────────────────────────の Continuing on the front page (72) Yoshio Nojima 4-33, Kitahama, Chuo-ku, Osaka-shi, Osaka Prefecture Inside of Sumitomo Corporation (72) Shinichi Tanaka 4-5-1, Kitahama, Chuo-ku, Osaka-shi, Osaka No. 33 within Sumitomo Corporation (72) Koji Shibayama 4-53, Kitahama, Chuo-ku, Osaka-shi, Osaka Prefecture 33-33 Within Sumitomo Corporation (No. 4) Noriyuki Maruoka, 4-5-1 Kitahama, Chuo-ku, Osaka, Osaka No. 33 Sumitomo Corporation Co., Ltd. (72) Inventor Taizo Horimoto 4-5-33 Kitahama, Chuo-ku, Osaka City, Osaka Prefecture F-term within the Sumitomo Corporation Co., Ltd.

Claims (15)

[Claims] 1. A data processing device for sales promotion used in a virtual shopping mall developed on a communication line, a transaction processing device and a product provider of each of a large number of product providers for sending and receiving ordered products. Is a virtual shopping mall system including a delivery processing device that manages storage, settlement agency, shipping, etc. of products provided by the company, wherein the sales promotion data processing device includes a member name, an address, and a product purchase settlement method. Member basic database for recording member basic data including attribute data and response data based on a questionnaire given to the member, first cluster analysis calculating means for clustering the member basic data, and first cluster analysis calculating means Cluster classification data that records data classified by cluster Data evolution calculation means for multi-evolution data using purchase history data and cluster classification data when browsing provided product browsing data provided at a virtual shopping mall and purchasing a product, and multi-evolution A multi-evolution database for recording data, a second cluster analysis operation means for clustering the products provided in the virtual shopping mall, and a product cluster classification database for recording data classified by the second cluster analysis operation means And a matching control means that, when a member accesses a virtual shopping mall, a member based on a cluster classification of multi-evolution data stored in the multi-evolution database of the member can be browsed by the member as matching product data, Purchase members When there is a request, the member's attribute data is called from the member basic database, the purchase request product is specified and transmitted to the product provider. An order / shipment processing means for receiving an order from a sales promotion data processing device through a communication line and performing a shipping process of the product;
And a merchandise database that records the characteristics of the merchandise that the merchandise provider can provide to the virtual shopping mall. The delivery processing device stores and settlements the merchandise provided by the merchandise provider. -A virtual shopping mall system characterized by having a logistic processing device for shipping and the like. 2. A data processing device for sales promotion used in a virtual shopping mall developed on a communication line, comprising: a member name, an address, attribute data including a settlement method for merchandise purchase, and an attribute data for the member. A member basic database that records the basic member data consisting of the answer data based on the questionnaire, a first cluster analysis operation unit that classifies the basic member data into clusters, and data that is cluster-classified by the first cluster analysis operation unit Member cluster classification database, data evolution calculation means for multi-evolution data using purchase history data and cluster classification data when browsing provided product browsing data provided at a virtual shopping mall and purchasing a product, Multi-evolution data to record multi-evolution data Clustering and second cluster analysis computing means for classifying the products provided in the virtual shopping mall; a product cluster classification database for recording data classified by the second cluster analysis and computing means; When a user accesses a shopping mall, a matching control means that allows a member to browse products based on the cluster classification of the multi-evolution data stored in the multi-evolution database of the member as matching product data; And order procedure control means for calling the attribute data of the member from the member basic database, specifying the purchase request product and transmitting the purchase request product to the product provider, and transmitting the purchase record to the purchase record database to make the database. Sales promotion day Processing equipment. 3. The data processing device for sales promotion according to claim 2, wherein when a member accesses a virtual shopping mall, the member based on a cluster classification of multi-evolution data stored in the multi-evolution database of the member. A sales promotion data processing device having a navigation means for leading to a dedicated mall that handles only products of the corresponding category classified by the cluster by the second cluster analysis calculation means. 4. The data processing device for sales promotion according to claim 2, further comprising a filter means for sifting member basic data to be subjected to cluster classification. . 5. The sales promotion data processing apparatus according to claim 2, wherein a new product development tendency predicted from the multi-evolution data processed by the data evolution calculation means is provided by the product provider. A data processing device for sales promotion, characterized by comprising a transmitting means for transmitting the data. 6. The sales promotion data processing apparatus according to claim 2, wherein the member basic data is taken into account at predetermined intervals based on past product purchase histories recorded in the multi-evolution database. A data processing device for sales promotion, comprising means for updating member basic data. 7. A data processing procedure for sales promotion used in a virtual shopping mall developed on a communication line, a transaction processing procedure possessed by each of a number of merchandise providers who process an ordered merchandise, and a merchandise provider. Is a virtual shopping mall operation method including a delivery processing procedure for storage, settlement agency, shipping, etc. of goods provided by the above, wherein the sales promotion data processing procedure includes a member name, an address, and a payment method for product purchase. A member basic record procedure for recording member basic data including attribute data and response data based on a questionnaire conducted to the member in the member basic database; a first cluster analysis operation procedure for clustering the member basic data; The data classified into clusters by the first cluster analysis calculation means is used as a member cluster. Classification procedure for member cluster to be recorded in the kind database, and data to be multi-evolution data using purchase history data and cluster classification data when purchasing products by browsing provided product browsing data provided at virtual shopping malls Evolution calculation procedure, multi-evolution data recording procedure for recording multi-evolution data, second cluster analysis calculation procedure for clustering the products provided in the virtual shopping mall, and cluster classification by the second cluster analysis calculation procedure Clustering procedure that records the data in the product cluster classification database, and when a member accesses a virtual shopping mall, matches the product based on the cluster classification of the multi-evolution data stored in the multi-evolution database of the member A matching control procedure that allows the member to browse as product data, and when a member makes a purchase request, calls the member's attribute data from the member basic database, specifies the purchase request product, and sends it to the product provider. An order procedure control procedure for sending a purchase record to a purchase record database and converting the purchase record into a database, wherein the transaction processing procedure records characteristics of a product that can be provided to a virtual shopping mall by a product provider in a product database. And a receiving / shipping process for receiving an order from the data processing procedure for sales promotion through a communication line and performing a shipping process of the product. The delivery process includes a product provider. Has a logistics processing procedure for storage, settlement agency, shipping, etc. of products provided by Characteristic virtual shopping mall operation method. 8. A data processing method for sales promotion used in a virtual shopping mall developed on a communication line, comprising: a member name, an address, attribute data including a settlement method for merchandise purchase, and a method for the member. The basic member record procedure for recording basic member data consisting of the answer data based on the questionnaire in the basic member database, the first cluster analysis calculation procedure for clustering the basic member data, and the first cluster analysis calculation means Clustering procedure to record the collected data in the member cluster classification database, multiplexing using purchase history data and cluster classification data when purchasing products by browsing provided product browsing data provided in virtual shopping malls Data evolution calculation procedure for evolution data , A multi-evolution data recording procedure for recording multi-evolution data, a second cluster analysis operation procedure for clustering the provided products provided in the virtual shopping mall, and a product obtained by clustering the data by the second cluster analysis operation procedure. A product cluster classification procedure to be recorded in the cluster classification database, and when a member accesses a virtual shopping mall, a product based on the cluster classification of the multi-evolution data stored in the multi-evolution database of the member is used as the matching product data as a member A data processing method for sales promotion, comprising: 9. The data processing method for sales promotion according to claim 8, wherein when a member accesses a virtual shopping mall, a cluster classification of the multi-evolution data stored in the multi-evolution database of the member is performed. A sales promotion data processing method including a navigation procedure for leading to a dedicated mall that handles only products of the corresponding classification that has been classified by the second cluster analysis calculation means. 10. The data processing method for sales promotion according to claim 8 or 9, further comprising a filtering procedure for sifting basic member data for cluster classification. . 11. The sales promotion data processing method according to any one of claims 8 to 10, wherein a new product development tendency predicted from the multi-evolution data processed by the data evolution calculation means is provided by the product provider. A data processing method for sales promotion, comprising a transmission procedure for transmitting data to a sales promotion. 12. The sales promotion data processing method according to any one of claims 8 to 11, wherein the member basic data is taken into account at regular intervals based on past product purchase histories recorded in a purchase record database. A data processing method for sales promotion, comprising a member basic data updating procedure for updating the data. 13. A data processing procedure for sales promotion used in a virtual shopping mall developed on a communication line, a transaction processing procedure possessed by each of a number of merchandise providers who dispatch and process ordered merchandise, and a merchandise provider. Is a program for causing a computer to execute a virtual shopping mall operation method including a delivery processing procedure for storage, settlement agency, shipping, etc. of goods provided by the above, wherein the sales promotion data processing procedure includes a member name, Member basic data recording procedure for recording the member basic data including the address, the attribute data including the settlement method of the product purchase and the answer data based on the questionnaire conducted for the member in the member basic database, and classifying the member basic data into clusters The first cluster analysis operation procedure and the first cluster analysis operation means Member cluster classification procedure to record the cluster classified data in the member cluster classification database, and purchase history data and cluster classification data when purchasing products by browsing provided product browsing data provided at virtual shopping malls A data evolution calculation procedure for making multi-evolution data using multi-evolution data, a multi-evolution data recording procedure for recording multi-evolution data, a second cluster analysis calculation procedure for cluster classification of provided products provided in a virtual shopping mall, A commodity cluster classification procedure for recording data classified by the cluster analysis calculation procedure in a commodity cluster classification database, and a multi-evolution data stored in a multi-evolution database of a member when a member accesses a virtual shopping mall. A matching control procedure that allows members to browse products based on the cluster classification of the above as matching product data, and when a purchase request is made by a member, the attribute data of the member is called from the basic member database to identify the purchase request product And an order procedure control procedure for sending the purchase record to the purchase record database and converting the purchase record into a database, and the transaction processing procedure may be provided to the virtual shopping mall by the product provider. A product database conversion procedure for recording the characteristics of a product that can be performed in a product database, and an order / shipment processing procedure for receiving an order from a data processing procedure for sales promotion through a communication line and performing a shipping process of the product. The delivery processing procedure is to store, settle, and ship the goods provided by the goods provider. A recording medium recording a computer-readable program, which has a logistic processing procedure for controlling the computer, in a computer-readable manner. 14. A program for causing a computer to execute a data processing method for sales promotion used in a virtual shopping mall deployed on a communication line, wherein the attribute includes a member name, an address, and a method for settlement of product purchase. A member basic record procedure for recording the member basic data including the data and the answer data based on the questionnaire conducted to the member in the member basic database; a first cluster analysis calculation procedure for clustering the member basic data; Member cluster classification procedure for recording data classified by the cluster analysis calculation means in the member cluster classification database, and purchase history data when purchasing goods by browsing the provided product browsing data provided at the virtual shopping mall And cluster classification data A multi-evolution data, a multi-evolution data recording procedure, a multi-evolution data recording procedure for recording the multi-evolution data, a second cluster analysis calculation procedure for clustering the products provided in the virtual shopping mall, and a second cluster A product cluster classification procedure that records data classified by the analysis calculation procedure in a product cluster classification database, and a cluster of multi-evolution data stored in the multi-evolution database of the member when a member accesses a virtual shopping mall. A computer-readable recording medium storing a program including a matching control procedure that allows members to view products based on the classification as matching product data. 15. A drug sales data processing device used in a virtual shopping mall deployed on a communication line, a transaction processing device included in each of pharmacies that dispatch and process ordered drugs, and storage of drugs provided by the pharmacy. -A virtual shopping mall system including a shipping processing device that manages payment agency / shipping, etc., wherein the data processing device for drug sales includes a member name, an address, attribute data including a payment method for merchandise purchase, and Member database, which records the member basic data consisting of the answer data based on the questionnaire conducted by the survey, first cluster analysis operation means for classifying the member basic data into clusters, and data clustered by the first cluster analysis operation means. Member cluster classification database to record and virtual Data evolution calculation means for making multi-evolution data using purchase history data and cluster classification data when browsing data for browsing medicines provided at a shopping mall and purchasing a medicine, and multiplexing for recording multi-evolution data An evolutionary database, a second cluster analysis and calculation means for clustering the drugs provided in the virtual shopping mall, a drug cluster classification database for recording data classified by the second cluster analysis and calculation means, a dispensing instruction Code assigning means for assigning an encrypted code to a user, a patient and / or a doctor (or medical institution), and a web provided by the doctor (or medical institution) when a member accesses the virtual shopping mall Access the site and use the encrypted code After confirming the authenticity of the dispensing instruction, a drug based on the cluster classification of the multi-evolution data stored in the multi-evolution database of the member and matching a drug that can be replaced within the range of the instruction of the dispensing instruction is used as a matching drug. Matching control means that the member can browse as data, and when a member's purchase request is made, the member's attribute data is called from the member basic database, the purchase request medicine is identified and transmitted to the contract pharmacy, and the purchase record is recorded. Order procedure control means for sending a purchase record to a database and making it into a database; and delivery confirmation means for confirming that the medicine specified by the dispensing instruction has been delivered to the patient. The processing unit receives orders from the drug sales data processing device via the communication line and processes the order receipt / shipment processing for shipping the drug. And a drug database recording characteristics of drugs that can be provided to the virtual shopping mall by the contract pharmacy. The delivery processing device stores and stores the drug provided by the drug provider. A virtual shopping mall system having a logistic processing device that handles payment processing and shipping.