KR20010092889A - Method for determining the price according to the user's profile in internet shopping mall - Google Patents

Abstract

PURPOSE: A method for determining a price of a product according to a user profile in an internet shopping mall is provided to arouse users' interest by presenting a price discounted according to a user's profile in case that the user makes a request for information on a product to be purchased, and by enabling the user to purchase at the price discounted. CONSTITUTION: A user connects to a web site of a shopping mall on the internet(S211). In case that the user makes a request for information on a product(S212), the web site confirms whether the user has a user ID(S213). In case that the user does not have an ID, the user ID is issued(S214). A user profile relevant to the ID is stored in a user profile database(S215). The user profile is detected(S216). The final price for the product is displayed(S217). It is judged whether the user wants to purchase the product at the displayed price(S218). In case that the user wants to purchase the product, the user pays the price for the product(S219).

Description

Method for determining the price according to the user's profile in internet shopping mall}

The present invention relates to a product price determination method in an Internet shopping mall, and more particularly, to a product price determination method in which a price of a specific product is determined by a constant discount according to a profile of a user (who intends to purchase a product on the Internet). It is about.

In the purchase method according to the conventional method, users visited and purchased goods or goods directly from a corresponding store or agency. Therefore, they had to pay a considerable price in time and money.

However, as the Internet has evolved, commodity sellers have created a virtual market on the Internet called an Internet shopping mall, which has saved much of this hassle. In other words, it frees buyers from direct purchases such as visits and reservations, saving them the time and money they had to spend. Because of these advantages, many people use the Internet shopping malls, many Internet shopping malls have appeared.

However, in the conventional Internet shopping mall, when a user comes to inquire about the selling price of a product, the user does not distinguish between users and presents a uniformly calculated constant price. Therefore, in such a shopping mall, no merits are granted from a good customer, such as a user who frequently purchases a product in the shopping mall, and a merchandise seller may purchase or repurchase a product in the shopping mall for the user. There was a disadvantage in that it could not be motivated properly.

The present invention overcomes the above shortcomings, when the user requests price information on the product to be purchased, by adopting a product price determination method for presenting a discounted product price according to the user's profile, the merits for excellent customers The purpose of the present invention is to provide motivation for the purchase and repurchase of goods by the user.

1 is a diagram illustrating a network connection state in a commodity price setting method according to a user profile of the present invention.

2 is a flowchart illustrating a commodity price determination method according to the present invention.

3A to 3C illustrate a specific configuration method of the product price DB.

4A, 4B, 4C, 4D, 4E, 4F, and 4G illustrate examples of actual screens of the present invention that are actually executed in a user terminal of the Internet.

In order to achieve the above object, the present invention provides a website in which a user profile DB (database), a product price DB, and a shopping mall web server are interworked with each other. In general, a shopping mall website shows a price of a product to be purchased when a user who accesses it requests information about the product.

However, in the shopping mall web server of the present invention, in order to obtain such a price list, a user profile which is databased in the user profile DB is detected based on the user ID inputted when accessing the shopping mall website, and the product is based on the user profile. The program is designed and configured to detect the discount rate (discount amount) or discount rate (discount amount) and the final product price databased in the price database, and present the final product price discounted according to the user's profile. The user determines the purchase or not by looking at the discounted final product price presented in this manner, and when making a purchase, the user pays the product price to the shopping mall.

In addition, the user profile DB is configured to update the user's profile whenever there is a change based on the user's performance. The user's results include the number of visits to the shopping mall website, the number of purchases on the shopping mall website, the amount of purchases on the shopping mall website, and the like.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings.

1 is a diagram illustrating a network connection state in a commodity price setting method according to a user profile of the present invention.

Referring to FIG. 1, an internet user 200 may access an internet shopping mall web server 220 through the Internet 210. The internet user 200 may access the internet through a computer or a mobile phone. The internet shopping mall web server 220 includes a user profile DB 221, a product price DB 222, and a product information DB 223. The user profile DB 221 stores the user's password and personal information for each user ID and manages the user profile according to the user's purchase results. The product price DB 222 database the base price of each product. It manages the product price of various stages calculated according to the user's profile or the user's profile. The product information DB 223 manages a database of manufacturers, vendors, and product characteristics of each product.

2 is a flowchart illustrating a commodity price determination method according to the present invention. When the user 200 accesses the shopping mall website 210 of the present invention (S211), and requests information about a product (S212), the website 210 determines whether the user 200 has a user ID. Check (S213).

If you have a user ID, the procedure is as follows:

When the user 200 inputs his or her ID previously issued, the user profile DB 221 detects the user's profile corresponding to the input ID from the user profile in the database (S216). The database method of the user profile will be described later. Thereafter, the product price DB 222 having the database of the product price based on the user profile detects the final product price corresponding to the user profile output from the user profile DB 221 and displays the product price on the shopping mall website 210. Output it (S217). Thereafter, the user 200 determines whether to purchase a product by looking at the final product price according to his profile (S218), and if the user decides to purchase, the user goes through a payment procedure (S219).

The procedure when there is no user ID is as follows.

If there is no user ID, the user ID issuance procedure is initiated (S214), and the user profile corresponding to the issued ID is stored in the user profile DB 221 (S215). Since the following procedure is the same as the above-described procedure when there is a user ID, a description thereof will be omitted.

In this case, the user ID input and issuance process is configured to occur only once when the first product information request is made, even if the user requests information about various products while staying at the shopping mall website. It is desirable to prevent the number of website visits from being counted indiscriminately. In FIG. 2, when the flow returns to the product selection step S212 ′ in steps S218 to S219, the flowchart is configured to move directly to step S216.

Hereinafter, the user profile DB 221 will be described in detail how to build a user profile.

Determinants of the user profile include, for example, the user's performance such as the number of times the user visited the shopping mall website, the number of purchases on the shopping mall website, and the amount of purchases on the shopping mall website. The user profile may be configured in such a manner that a given mileage is added in proportion to each of these elements and added up.

For example, if you grant a mile per visit, b mile per purchase, and c mile per purchase, you have L visits, M purchases, and N purchases. The total mileage is a × L + b × M + c × N miles. The user profile DB 221 stores the total mileage thus calculated as the user profile.

In addition, the user profile DB 221 updates and stores the user profile whenever each user profile determination element, i.e., the number of visits, the number of purchases, the amount of purchase, etc. is changed. However, since the user inquires the product price and then presents the final product price according to the user profile, as shown in the flowchart of FIG. The product price DB 222 is updated and output to the product price DB 222, and the product price DB 222 outputs the final product price corresponding to the user profile on the website. When a user purchases a product at the price of a given product, the user profile is updated again according to the purchase number and the amount of the purchase, and stored in the user profile DB. If the same user visits the website later, the updated profile is updated. Proceed with the procedure on the basis of

3A to 3C illustrate a specific configuration method in which the commodity price DB 222 databases the final commodity price.

Referring to FIG. 3A, when a user profile is detected from the user profile DB 221 (s311), the product price DB 222 detects a discount amount or a discount rate previously databased according to the user's profile, that is, the user's total mileage. In operation S312, the final product price is output (S313). As a final product price output method, the final product price according to the discount amount (discount rate) to database the product price DB 222 in advance to automatically output the final product price corresponding to the product information request, the discount amount (discount rate) and One method is to make a database of the application method, and then calculate and output the final product price at the time when the product information is requested. While the former method has the advantage of speeding up the final product output, it has a disadvantage of requiring a large memory capacity for the DB construction. The latter takes the pros and cons in reverse.

3B and 3C illustrate a discount or discount rate database method. FIG. 3B is a stepped manner in which the discount amount or the discount rate is increased stepwise by a predetermined value X as the user's profile or the total mileage increases. If a certain mileage is exceeded, you may choose to be a good customer and give additional discounts or additional discount rates. In FIG. 3B, P1 is the first excellent customer threshold point, G1 is the first additional discount amount (or discount rate), P2 is the second excellent customer threshold point, and G2 is the second additional discount amount (or discount rate).

3C is a proportional method in which a discount amount or a discount rate is also increased in proportion to an increase in the total mileage of the user. Since this method may also take the method of selecting excellent customers and granting additional discount amount or additional discount rate, the first excellent customer threshold point (P3) and the first additional discount amount or discount rate (G3), and the second excellent customer threshold point (Fig. 3C). P4) and the second additional discount amount or discount rate (G4).

There are two methods of calculating the final product price or calculating the database, based on the discount rate method.

The subtraction method detects a discount amount databased by the method of FIG. 3B or 3C according to a user profile (total mileage of the user), and databases the final product price by subtracting the discount amount from the standard product price. Then it is the way to calculate. This is expressed as a formula as follows.

Final Product Price = Standard Product Price-Discount

The proportional method detects a discount rate databased by the method of FIGS. 3B and 3C according to the user profile (total mileage of the user), and databases an amount of the product price multiplied by the discount rate as the final product price or at that time. That's how you calculate. This is expressed as a formula as follows.

Final Product Price = Standard Product Price × Discount Rate

The actual execution screens of FIGS. 4A, 4B, 4C, 4D, 4E, 4F, and 4G will explain how a real buyer performs trading on the Internet.

In FIG. 2, when the purchaser 200 accesses the Internet shopping mall website 210 of the present invention (S211), the page of the shopping mall website is shown as the screen of FIG. 4A.

In the screen of FIG. 4A, the user selects a product to purchase and requests product information. In the product selection method, the product is selected using the searcher 412 or the category 411 (S212). If the user has not been issued a user ID, the user can be issued an ID by clicking the member registration (410).

In the case of using the searcher 412, first, a purchase item is written in the search field 413, and the search button 412 is clicked to move to the screen of FIG. 4B. When searching, an option 414 may be given to specify detailed items. If the corresponding product 420 is selected to view detailed information of the product to be purchased on the screen of FIG. 4B, the screen of FIG. 4D is displayed. If the user is issued an ID, the ID is input through the user profile DB (S216), and the final product price is output from the product price DB to the screen of FIG. 4F (S217).

If the user has not been issued an ID, the member 442 is clicked to move to FIG. 4E. Here, the normal ID issuance procedure is performed (S214), the user profile corresponding to the issuance ID is stored in the user profile DB (S215), and then the final product price is derived from the product price DB (S216). The screen is output to the screen of 4f (S217).

When the category 411 is selected without using the searcher, the screen moves to the screen of FIG. 4C and each item of the product appears under the category. If an individual item such as the TV 430 is selected, the screen of FIG. 4B is moved. When the corresponding product 420 is selected, the same procedure as in the case of using a searcher is performed. That is, if the user is issued an ID, the final product price is output to the screen of FIG. 4F through step S216 (S217). If the user is not issued an ID, a typical ID issuance procedure is performed in FIG. 4E (S214). In step S215 and S216, the final product price is output from the product price DB to the screen of FIG. 4F (S217).

The screen of FIG. 4F displays the standard product price, the member profile, the final product price, etc., and the user can determine the purchase intention by clicking on the example button 460 in the purchase status field. Go back to confirm the purchase, and if it is determined, click the confirm button 470 to end the purchase step.

If the user does not want to purchase the product, clicking the NO button 461 of FIG. 4F or the cancel button 471 of FIG. 4G returns to the screen of the previous product list screen of FIG. 4B. If the product information is requested again, as described above with reference to FIG. 2, the process of steps S213 to S215 is omitted, and the process proceeds directly from step S216 to step S218. That is, in the case where an individual product is selected again, the screen of FIG. 4D and FIG. 4E is not output, but the screen of FIG. 4F is immediately output.

When this process is completed, the usual goods price deposit procedure (step S219) and the goods delivery process are performed.

As mentioned above, although this invention was demonstrated with drawing and Example, this invention is not limited to a specific Example, The person of ordinary skill in the art, Many corrections and a deformation | transformation are possible, without deviating from the range of this invention. I will understand what is possible.

In addition, the protection scope of the present invention will be defined by the appended claims.

As described above, according to the present invention, when a user requests information about a product he / she wants to purchase, he adopts a product price determination method that presents a discounted product price according to the user's profile. The product can be purchased at a discounted price in proportion to, and the seller has the effect of motivating the user to purchase or repurchase the product.

Claims (14)

A first step of making a database of the user's profile according to the user's performance in the internet shopping mall and storing it in the user profile DB A second step of databaseting the final product price calculated by applying a discount method determined according to a user profile in addition to the standard product price in a product price DB, A third step of detecting a user profile from the user profile DB and reading and outputting a final product price corresponding thereto from the user price DB as the user accesses the shopping mall website and requests product information. How to price a product according to a profile. The method of claim 1, The user's performance in the first step comprises the number of times the user visits the shopping mall website, the number of purchases on the shopping mall website, the purchase amount on the shopping mall website. The method of claim 2, The database method in the first step, the product price, characterized in that the predetermined mileage per visit number, the predetermined mileage per purchase number, the predetermined mileage per purchase amount and database the total mileage summed up by the user profile How to decide. The method of claim 1, The database method in the second step is to increase the cascade or proportionality as the user profile is increased, and the final product is multiplied by the standard product price multiplied by the discount rate determined by adding additional discount rate when each threshold user profile value is reached. A commodity price determination method, characterized in that the database by price. The method of claim 1, The database method in the second step is a step-wise or proportional increase as the user profile increases, and when the threshold user profile value is reached, the discount value determined by adding an additional discount amount is deducted from the standard product price. A commodity price determination method, characterized in that the commodity price database. The method of claim 1, wherein the third step A step 3-1 of determining whether the user has been issued a user ID as the user accesses the shopping mall website and requests product information; A step 3-2 of detecting a user profile from the user profile DB and reading and outputting a final product price corresponding thereto from the product price DB if the user ID has been issued as a result of the determination in step 3-1, If the user ID has not been issued as a result of the determination of step 3-1, the user profile DB issues a user ID and creates a user profile based on the issued user ID, and detects the user profile from the user profile DB. And a third step of reading the corresponding final product price from the product price DB and outputting the same. A first step of making a database of the user's profile according to the user's performance in the internet shopping mall and storing it in the user profile DB A second step of databaseting a predetermined discount method and a final product price calculation method determined by the user profile and storing the same in a product price DB; A third step of detecting a user profile from the user profile DB when the user accesses the shopping mall website and requests product information, and then calculates and outputs a final product price from the product price DB according to a corresponding discount scheme. Product price determination method according to the user profile in the shopping mall. The method of claim 7, wherein The user's performance in the first step comprises the number of times the user visits the shopping mall website, the number of purchases on the shopping mall website, the purchase amount on the shopping mall website. The method of claim 8, The database method in the first step, the product price, characterized in that the predetermined mileage per visit number, the predetermined mileage per purchase number, the predetermined mileage per purchase amount and database the total mileage summed up by the user profile How to decide. The method of claim 7, wherein The database method in the second step is a discount method, the discount rate is increased in a stepwise or proportional manner as the user profile increases, and adopts a discount rate method that additionally adds a discount rate when each threshold user profile value is reached, and the final product price A method for determining a product price as a determination method is adopted by adopting a method of multiplying a standard product price by a discount rate determined as described above as a final product price. The method of claim 7, wherein The database method in the second step is a discount method, the discount amount increases in a stepwise or proportional manner as the user profile increases, and adopts a discount method that adds a discount amount when each threshold user profile value is reached, and the final product price A method for determining a product price as a determination method is adopted in which the value obtained by subtracting the discount amount determined as described above from the standard product price is used as the final product price. 8. The method of claim 7, wherein the third step is A step 3-1 of determining whether the user has been issued a user ID as the user accesses the shopping mall website and requests product information; If the user has been issued the user ID as a result of the determination in step 3-1, the user profile is detected from the user profile DB, and the corresponding discount method and the final product price calculation method are detected from the product price DB. Step 3-2 of calculating and outputting the final product price from the calculation method, If the user ID has not been issued as a result of the determination of step 3-1, the user profile DB issues a user ID and creates a user profile based on the issued user ID, and detects the user profile from the user profile DB. And a third step of detecting a corresponding discount method and a final product price calculation method from a product price DB, and calculating and outputting a final product price from the detected discount method and calculation method. . The method of claim 1, In the third step, the user accesses the shopping mall website through a computer or a mobile phone. The method of claim 7, wherein In the third step, the user accesses the shopping mall website through a computer or a mobile phone.