KR101097823B1 - Method for providing pre-discounted price calculated on condition of goods return - Google Patents

Abstract

PURPOSE: A method for providing pre-discounted price calculated on condition of goods return is provided to offer a product in a cheap price to a user by expecting the price of a secondhand price. CONSTITUTION: A web server produces a pre-discount rate for the posted product groups about the preset use period of the posted product groups(S100). The web server applies the pre-discount rate to the posted product group price. The pre-discount rate of the product groups which will be returned is calculated after the preset use period(S200).

Description

How to Offer Discount Price Assuming Product Return {METHOD FOR PROVIDING PRE-DISCOUNTED PRICE CALCULATED ON CONDITION OF GOODS RETURN}

The present invention relates to a method for providing a discounted price on the premise of returning a product, and more particularly, calculating the discounted price of the product on the condition of returning the product posted on an internet shopping mall or a price comparison site, and calculating A method of exposing a discounted price together with the original selling price of the product to the internet shopping mall or a price comparison site.

With the rapid economic growth and changing consciousness, buyers' needs are diversifying year after year. In accordance with the buyer's inclination, the seller is also showing a variety of products. Therefore, sellers in the modern society carry out various methods of marketing in order to secure customers who can purchase their products in the fierce competition with the overflowing products.

The oldest and most common marketing method is advertising. Advertising is a marketing method that converts the buyer's feelings about the seller and the seller's products in a favorable direction by applying an attractive image to the seller's products. Another marketing method is sports sponsorship. This method instills an unconscious familiarity to the buyer by constantly exposing the seller's logo or brand of product to the uniform of a particular team of sponsored professional sports. However, marketing methods, such as advertising or sports sponsorship, do not lower the price of goods that buyers are making an important part of their purchase decisions today. Rather, advertising or sports sponsorship is causing the price of a product to rise by including marketing costs in the price of the product.

Accordingly, various marketing methods have been developed that focus on the lowering of commodity prices. For example, a seller who has affiliated with a credit card company discounts a certain amount of money when a buyer pays for the amount of its product with a credit card company of a member credit card (hereinafter referred to as "credit card discount"). In addition, a seller who has affiliated with a mobile carrier or a credit card company discounts the amount corresponding to the deducted point while deducting the point when the buyer who received the point from the mobile carrier or the credit card company pays the amount of the product of the company ( Hereafter, referred to as "point discount".

Meanwhile, with the widespread use of the Internet today, sellers or sales agents have established a virtual market on the Internet called an Internet shopping mall. Therefore, buyers can purchase specific goods or goods that they want to purchase through the virtual market without visiting the store. The use of such an internet shopping mall can reduce the time and cost due to the purchase of the visitor, and thus, the number of buyers using the internet shopping mall has gradually increased, thereby increasing the number of sellers and sales agents who operate the internet shopping mall.

However, the selling prices in these internet shopping malls are different for each internet shopping mall even though the products are the same. Accordingly, buyers have a desire to purchase a product in an internet shopping mall that offers the lowest price, and a price comparison site that compares and provides prices of a plurality of internet shopping malls on the Internet to satisfy such a buyer's desire. Also appeared.

The internet shopping mall and the price comparison site provide various product information that can help a purchaser make a purchase decision. For example, an internet shopping mall and a price comparison site provide product information such as a seller name, a product name, a sale price, a discount information, shipping information, card installment information, and the like.

However, the discount information provided by the internet shopping mall and the price comparison site is information on credit card discount or point discount. Credit card discounts and point discounts apply only to specific buyers and do not apply to all unspecified buyers. Therefore, it is required to provide a discount price that can be applied to all unspecified buyers.

In addition, the credit card discount and point discount helps to promote the purchaser's subscription to the credit card company or mobile carrier rather than to promote the purchase of the product by the buyer. Therefore, it is required to provide a discount price that can facilitate the purchase of goods by the buyer.

The present invention is calculated to meet the needs of the buyer as described above, subject to the return of the goods posted on the Internet shopping mall or price comparison site calculates the discount price of the product, and calculates the calculated discount price It is an object of the present invention to provide a method of exposing the product to the Internet shopping mall or a price comparison site together with the original selling price.

In order to achieve the object as described above, the present invention provides a group of posting products belonging to the same category while a web server providing web pages to a client through a website for product sale or price comparison is posted on the website. Calculating a discount rate for the estimated period of use of the posted product group; (B) calculating, by the web server, the discount rate of the posted product group to be returned after the expected use period by applying the discount rate to the selling price of the posted product group; And (C) setting, by the web server, the content of the product information providing web page including the estimated period of use of the posted product group and the discounted price as the content of the sale price of the posted product group. In step (A), the server extracts an initial price, a used transaction price, and a usage period of the used goods group belonging to the category from the database, and then uses the extracted information, and a discount rate of the posted goods group with respect to the expected period of use of the posted goods group. It provides a method of providing a discounted price on the premise that the return of goods, characterized in that to calculate.

Additional features of the method of providing a discounted price on the premise of returning goods according to the present invention will be described in detail by the following embodiments and the dependent claims of the claims.

According to the present invention, since the price of the product is lowered by the predicted and predicted used price based on the objective data, the lower price of the lower product can be provided to the buyer.

Further, according to the present invention, since the discounted price of the product can be immediately calculated for each of the intended use period of the product, the buyer can easily check the discounted price of the product for each expected use period.

1 is a conceptual diagram illustrating a system provided for performing the method of providing a discounted price on the premise of returning goods according to the present invention.
2 is a flowchart illustrating a method of providing a discounted price on the premise of returning goods according to the present invention.
FIG. 3 is a flowchart illustrating a first embodiment of a first step included in the method of providing a discounted price of FIG. 2.
FIG. 4 is a flowchart illustrating a process of reflecting a supply and demand ratio included in the method of providing a discounted price of FIG. 2.
FIG. 5 is a flowchart illustrating a sales share reflecting process included in the method of providing a discounted price of FIG. 2.
6 is a flowchart illustrating a community reflection process included in the method of providing a discounted price of FIG. 2.
FIG. 7 is a flowchart illustrating a process of reflecting member trust included in the method of providing a discounted price of FIG. 2.
8 is a flowchart illustrating a second embodiment of a first step included in the method of providing a discounted price of FIG. 2.

Hereinafter, preferred embodiments of a method for providing a discounted price on the premise of returning goods according to the present invention will be described in detail with reference to the accompanying drawings. The terms or words used below should not be construed as being limited to ordinary or dictionary meanings, and the inventors can properly define the concept of terms in order to explain their invention in the best way. It should be interpreted as meanings and concepts corresponding to the technical spirit of the present invention.

A system for performing a method of providing a discounted price on the premise of returning a product according to the present invention includes a web server 110 and a buyer terminal 120 connected to the web server 110 through a communication network as shown in FIG. 1. And a database 130 connected to the web server 110. The database 130 includes a used goods database 132, a posted goods database 134, and a member database 136.

The web server 110 provides web pages to a client, that is, the purchaser terminal 120, through an internet shopping mall or a price comparison site (hereinafter, referred to as "website"). The used goods database 132 stores used goods transaction history, used goods demand / supply amount, used goods store, and used goods community. The publication product database 134 stores various product information to be set as contents of the web pages. The membership database 136 stores various information about the members of the website.

The operator of the website receives information such as used goods transaction history, used goods demand / supply, used goods sales, and community for used goods from the Town Youngja who operates a used goods trading site. ) Can be stored. In addition, if the web server 110 provides the purchaser terminal 120 with the web pages necessary for used goods trading through the website, used goods transaction history, used goods demand / supply amount, used goods sales, used goods Information about the community and the like can be stored in real time in the database for used goods 132 by the web server 110.

The method of providing a discounted price on the premise of returning goods according to the present invention includes a first step, a second step (S200), and a third step (S300).

In the first step (S100), the web server 110 calculates the discount rate of the posted product group for the expected period of use of the posted product group. Here, the posted product group means a set of posted products belonging to the same category while being posted on the website, and the expected use period means a period from the time when the buyer purchases the posted product to the time of returning it. The expected usage period is set in advance by the operator of the website. On the other hand, the category is divided by the setting of the website administrator. At this time, the website operator groups posting products to which a similar discount rate can be applied based on the rule of thumb, and divides the grouped posting products into a posting product group belonging to the same category.

For example, if a personal computer is posted on the website, and the web site operator sets the personal computer as one posted product group and set the usage period to be one year, the web server 110 is used for one year. The discount rate of the personal computer is calculated for the predetermined period. However, if it is determined that the same discount rate is difficult to apply to the entire personal computer, and the website operator sets the personal computer to three post product groups (desktop, laptop, notebook) and the expected period of use is 1 year, The web server 110 calculates a discount rate for each of the desktop, the laptop, and the notebook for the expected period of one year of use.

The web server 110 performs the first step S100 through three processes as shown in FIG. 3.

In the first process (S102), the web server 110 selects the target used goods from the used goods group. Here, the used goods group means a set of used goods stored in the used goods database 132 and belonging to the same category as the posted goods group. For example, if the category of the posted product group is a personal computer, the category of the used product group is also a personal computer. If the category of the posted product group is a desktop, a laptop or a laptop, the category of the used product group is a desktop, a laptop, a notebook. The web server 110 may select a used product group by scanning the used product database 132 with the product code. In this case, the product code refers to a code individually assigned to the products for easy management of the products. Different product codes are assigned to products provided in one Internet shopping mall, and different product codes are assigned to the same product when the Internet shopping malls are different. In the open market (a type of Internet shopping mall) or a price comparison site, different product codes are provided for different sellers even for the same product.

In addition, the used goods used means those having the same period of use as the period of use of the used goods belonging to the used goods group. Here, the term of use means a period from the time when the used product is sold as a new product to the time when it is sold as used. For example, the category of the posted goods group and used goods group is a personal computer, the expected period of use of the posted goods group is one year, and the used goods group includes 100 used goods, of which 20 used goods are used for one year, 50 If a dog has a 2 year usage period and 30 have a 3 year usage period, 20 used goods having a 1 year usage period are used goods. The web server 110 may scan the used product database 132 as a period of use to select the used goods from the used product group.

In the second process 104, the web server 110 calculates an average discount rate of the used goods. The average discount rate is calculated by subtracting the used transaction price average from the initial price average of the used goods of interest, and then subtracting the divided value by the initial price average. For example, the 20 used goods having a period of one year of use are the used goods, the average price (initial price) when the used goods are sold as a new product is 500,000 won, and the used goods are used If the average price of used products (used transaction price) is 300,000 won, the web server 110 deducts 200,000 won by subtracting the used transaction price average 300,000 won from the initial price average of 500,000 won. After calculating the value, the average discount rate of 40% is calculated by dividing the deduction value by the initial price average of 500,000 won. The web server 110 may extract the initial price and used transaction price of the target used goods from the database for used goods 132.

In the third process 106, the web server 110 sets the average discount rate calculated in the second process 104 as the discount rate of the posted product group, and stores the average discount rate in the posted product database. For example, if the average discount rate calculated in the second process 104 is calculated at 40% as in the previous example, the web server 110 sets the discount rate of the posted product group to 40% and the database for the posted product database 134. Save it.

On the other hand, the web server 110 may perform a first step (S100) through a process as shown in FIG.

When it is desired to perform the first step S100 through the process shown in FIG. 8, the web server 110 first selects a reference group (S112). Here, the reference group means used goods of any one group belonging to the used goods group and having the same period of use. for example. If the second-hand goods group contains 100 used goods, 20 used goods have one year of use, 50 years of use for two years, and 30 items for three years. Or 50 used goods or 30 used goods are the reference group. Meanwhile, the reference group may be arbitrarily set by the website operator based on the rule of thumb, and the web server 110 may select the reference group by scanning the used product database 132 as a period of use.

The web server 110 selecting the reference group calculates a subtraction value by subtracting the used transaction price average from the initial price average of the reference group, divides the deduction value by the initial price average, and then divides the value of the reference group again. The depreciation rate per unit period is calculated by dividing by the period of use (expressed as a multiple of the unit period) (S114). At this time, the unit period is arbitrarily set by the website operator. For example, in the above example, 50 used goods having a period of two years of use are selected as the reference group, the initial price average of the reference group is 500,000 won, and the used transaction price average of the reference group is 300,000 won, and the unit period is If it is set to January, the web server 110 obtains a deduction value of 200,000 won by subtracting the used transaction price average 300,000 won from the initial price average of 500,000 won, and divides the deduction of 200,000 won by the initial price average of 500,000 won. Dividing the value by 24 months yields a monthly depreciation rate of about 1.67%.

Thereafter, the web server 112 sets a value obtained by multiplying the depreciation rate per unit period by the expected period of use of the posted product group (expressed as a multiple of the unit period) as a pre-discount rate of the posted product group (S116). For example, if the depreciation rate per unit period is a monthly depreciation rate of 1.67% as in the previous example, and the estimated period of use of the posted product group is 12 months, the web server 110 multiplies 12 months by 1.67% and corresponds to 20%. Calculate the discount rate of the posted product group.

The web server 110, which calculates the discount rate of the posting product group through the first step S100, calculates the discount rate of the posting product group by applying the discount rate to the selling price of the posting product group in the second step S200. . Here, the selling price of the posted product group means the price of the posted product group posted on the website. For example, the category of the posted product group is a personal computer, and the published product group includes 50 published products having a selling price in the range of 600,000 won to 800,000 won. In the first step (S100), the discount rate of the personal computer is 1 year. If it is calculated as 40% of the estimated period of use, the web server 110 applies a discount rate of 40% to each of the 50 posted products to apply a discount rate within the range of 360,000 to 480,000 won for one year Calculate for. In addition, the web server 110 stores the calculated discount rate in the post product database 134.

Thereafter, the web server 110 sets the estimated period of use of the posted product group and the discounted price as the contents of the web page for providing the product information in the third step S300. Here, the product information providing web page means a web page including the selling price and other information of the posted product group as contents. In such a case, the purchaser who browses the product information provision web page through the web page tracking after accessing the site can check and compare the sale price and the discount price of the posted product group at the same time, and purchase at the discount price. The return time of a group of publications can also be checked.

On the other hand, the web server 110 is a supply and demand ratio reflecting process (S120), sales share reflecting process (S130), community reflecting process (S140) and in order to adjust the discount rate of the posted product group calculated in the first step (S100) and At least one of the member reliability reflection process S150 may be performed.

Supply and demand ratio reflecting process (S120), sales share reflecting process (S130) and community reflecting process (S140), when the posted product group is used goods, reflects the popularity of the buyer to the posted product group used goods to the discount rate It is a process to make it. The price of second-hand goods, which are popular among buyers, is relatively high. Therefore, in such a case, the supply and demand ratio reflecting process (S120), the sales share reflecting process (S130), and the community reflecting process (S140) adjust the discount rate higher. On the other hand, the price of second-hand goods that are less popular with buyers is relatively low. Therefore, in such a case, the supply and demand ratio reflecting process (S120), the sales share reflecting process (S130), and the community reflecting process (S140) adjust the discount rate lower. On the other hand, the member trust reflecting process (S150) is a process for reflecting the member reliability of the website to the discount rate. Member trust reflecting process (S150) is to adjust the discount rate higher or lower by comparing the reliability of the member currently logged into the website with the average reliability of the entire website.

In the demand-supply rate reflecting process (S120), the web server 110 first extracts the number of selling requests and the number of buying requests for the used goods from the used product database 132 (S120-1). The number of purchase requests and the number of purchase requests is the number of the sale and purchase articles posted in the "sell" and "buy" column of the used goods trading site operated by a separate operator and / or the web server ( 110 refers to the number of pages or purchases posted in the "sell" and "buy" columns of the web pages provided through the website for the sale of used goods, and the database for the used goods ( 132).

For example, the used and used goods are personal computers having a period of one year of use, and 200 of the bookmarks currently stored in the used goods database 132 are related to personal computers having a period of one year of use. If there are 150 personal computers having a one-year usage period among the purchase articles stored in the user database 132, the web server 110 extracts 200 of the selling request number and 150 of the buying request number.

Thereafter, the web server 110 calculates the supply-demand ratio by dividing the number of purchase requests extracted in the step S120-1 by the number of selling requests (S120-2). Referring to the above example, the supply and demand ratio calculated by the web server 110 is 0.75 (150/200).

Thereafter, when the calculated supply-demand ratio is less than 1, the web server 110 decreases the discount rate of the posted product group set and stored in the third process S106 of the first step S100. The discount rate is increased, and if it is 1, the discount rate of the posted product group is maintained (S120-3). Meanwhile, the increase and decrease of the discount rate of the posted product group may be appropriately adjusted according to the value of the demand-supply ratio.

In the sales share reflecting process (S130), the web server 110 first extracts the sales of the used goods group and the sales of the used goods from the used goods database (132) (S130-1). For example, the second-hand goods group includes 20 personal computers with 1 year of use, 50 personal computers with 2 years of use, and 30 personal computers with 3 years of use, of which 1 year is used. If 20 personal computers having a target product are used, the web server 110 extracts 100 as the sales amount of the used goods group and extracts 20 as the sales amount of the used goods.

Thereafter, the web server 110 calculates a sales share by dividing the sales amount of the target used goods extracted in the step S130-1 by the sales amount of the used goods group (S130-2). Referring to the above example, the sales share calculated by the web server 110 is 0.2 (20/100).

Thereafter, the web server 110 decreases the discount rate of the posted product group set and stored in the third process S106 of the first step S100 when the calculated sales share ratio is smaller than the reference sales share, and when the calculated sales share ratio is smaller than the reference sales share, The discount rate is increased, and if it is the same, the discount rate of the posted product group is maintained (S130-3). Meanwhile, the increase / decrease amount of the discount rate of the posted product group may be appropriately adjusted according to the difference between the sales share rate and the reference sales share rate. At this time, the reference sales share is set in advance by the operator of the website.

In the community reflection process (S140), the web server 110 first extracts the number of posts and comments about the used product group from the used product database 132, and then, using the following equation 1, the average community index of the used product group To calculate (S140-1).

[ Equation 1 ]

Average community index for used goods group = {(number of posts for used goods group * 3) + (number of comments on used goods group * 1)} / used goods belonging to used goods group

For example, the second-hand goods group includes 20 personal computers with 1 year of use, 50 personal computers with 2 years of use, and 30 personal computers with 3 years of use, for a total of 300 If the number of posts and the total number of 200 comments are stored in the used goods database 132, the web server 110 calculates an average community index of the used goods group as 11.

Thereafter, the web server 110 extracts the number of posts and comments on the used products from the used product database 132, and then calculates an average community index of the used products by using Equation 2 below ( S140-2).

& Quot; (2 ) & quot ;

Average Community Index of Target Used Products = {(Posts on Target Used Products * 3) + (Number of Comments on Target Used Products * 1)} / Number of Used Used Products

In the example above, 20 personal computers with a one-year usage period correspond to used goods, 100 of 300 posts correspond to posts on used goods, and 50 of 100 comments. If the dog corresponds to the number of comments on the used goods, the web server 110 calculates an average community index of the used goods are 17.5.

Thereafter, when the average community index of the used goods is less than the average community index of the used goods group, the web server 110 sets a discount rate of the posted product group set and stored in the third process S106 of the first step S100. If it decreases, if it is large, the discount rate of the publication product group is increased, and if it is the same, the discount rate of the publication product group is maintained (S140-3). Meanwhile, the increase / decrease amount of the discount rate of the posted product group may be appropriately adjusted according to the difference between the average community index of the target used goods and the average community index of the used product group.

In the member trust reflecting process (S150), the web server 110 first extracts the total transaction amount and the total transaction cancellation amount of all members of the website from the member database 136, and calculates an average reliability using the same. (S150-1). Average reliability for all members is calculated by Equation 3 below.

[ Equation 3 ]

Average Reliability for All Members = (Total Members' Total Transaction Volume-Total Members' Total Transaction Withdrawal) / Total Members' Total Transaction Volume * 100

Subsequently, the web server 100 extracts the total transaction amount and the total transaction cancellation amount of the currently logged in member from the member database 136, and calculates the member reliability using this (S150-2). Member confidence is calculated by Equation 4 below.

[ Equation 4 ]

Member trust of the logged in member = (Total transaction volume of logged in member-Total transaction canceled amount of logged in member) / Total transaction volume of logged in member * 100

Thereafter, the web server 110 decreases the discount rate of the posted product group set and stored in the third process S106 of the first step S100 when the member reliability degree is smaller than the average reliability level. Increasing the discount rate, if the same, maintains the discount rate of the posted product group (S150-3). Meanwhile, the increase / decrease amount of the discount rate of the publication product group may be appropriately adjusted according to the difference value between the member reliability and the average reliability.

As described above, a purchaser who accesses the website and browses the product information provision web page through web page tracking may use the sale price and the discount price of the posted product group and the expected period of the discount price. can confirm. However, the purchaser may have the intention to use the posted product group for a period different from the expected use period. Accordingly, the web server 110 sets the use period input field as the content of the product information providing web page so that the buyer can enter a new use period. In this case, the purchaser can change the expected use period while viewing the product information providing web page, and can confirm the discounted price of the posted product group with respect to the changed expected use period.

On the other hand, if there is a change in the expected usage period, the web server 110 performs the first step (S100), the second step (S200) and the third step (S300) for the changed usage period, and supply and demand At least one of the ratio reflecting process S120, the selling share reflecting process S130, the community reflecting process S140, and the member trust reflecting process S150 may be performed.

As described above, although the present invention has been described by way of limited embodiments and drawings, the present invention is not limited thereto and is described below by the person skilled in the art and the technical spirit of the present invention. Of course, it can be variously modified and modified within the scope of equivalent claims.

100: web server 120: buyer terminal
132: Database for used goods 134: Database for posted goods
136: member database S100: first step
S120: Process of reflecting supply and demand ratio S130: Process of reflecting sales share
S140: Community reflection process S150: Member confidence reflection process
S200: second stage S300: third stage

Claims (8)

(A) The discount rate of the group of posted products belonging to the same category while the web server providing the web pages to the client through the website for product sale or price comparison is posted on the website. Calculating;
(B) calculating, by the web server, the discount rate of the posted product group to be returned after the expected use period by applying the discount rate to the selling price of the posted product group; And
(C) setting, by the web server, the expected period of use of the posted product group and the discounted price as the contents of the product information providing web page including the selling price of the posted product group as the content;
The web server extracts an initial price, a used transaction price and a usage period of a used product group belonging to the category in step (A) from the database, and then uses the extracted information of the posted product group for the expected period of use of the posted product group. A method of providing a discounted price on the premise of returning a product, wherein the discounted rate is calculated. The method of claim 1,
Step (A) is
(A-1) the web server calculates a deduction value obtained by subtracting the used transaction price average from the initial price average of the used goods having the same use period as the estimated use period among used goods belonging to the used goods group; Calculating an average discount rate by dividing a deduction value by the initial price average; And
(A-2) the web server setting the average discount rate to a discount rate of the posted product group; providing a discount rate on the premise of returning goods. The method of claim 2,
Including the process of reflecting the supply-demand rate for the reduction of the discount rate of step (A-2), wherein the supply-demand rate reflecting process,
(D-1) extracting, by the web server, the number of selling and buying requests for the target used goods from the database;
(D-2) calculating, by the web server, the demand supply ratio by dividing the number of purchase requests by the number of selling requests; And
(D-3) the web server increases the discount rate if the supply-demand ratio is greater than 1, and lowers the discount rate if the supply-demand ratio is less than 1; As long as the discount price provided. The method of claim 2,
Including the sale occupancy reflecting process for the deduction of the discount rate in step (A-2), the selling occupancy reflecting process,
(E-1) extracting, by the web server, the sales of the used goods group and the sales of the used goods from the database;
(E-2) calculating, by the web server, a sales share by dividing the sales of the used goods by the sales of the used goods group; And
(E-3) the web server increasing the discount rate if the sales share is greater than the standard sales share, and lowering the discount rate if the sales share is less than the standard sales share. How to offer discounted prices on the premise of The method of claim 2,
Including the community reflection process for the reduction of the discount rate of step (A-2), the community reflection process,
(F-1) the web server extracting the number of posts and the number of comments on the used product group from the database, and using the same, calculating an average community index of the used product group;
(F-2) the web server extracting the number of posts and comments about the used products from the database, and calculating the average community index of the used products by using the web server; And
(F-3) increasing, by the web server, the discount rate when the average community index of the used goods is higher than the average community index of the used goods group, and lowering the discount rate if it is smaller. How to provide a discounted price based on return. The method of claim 1,
Step (A) is
(A-1) the web server calculates a deduction value obtained by subtracting the used transaction price average from the initial price average of any one reference group belonging to the used goods group and having the same period of use, and converting the deduction value to the initial price average. Calculating a depreciation rate per unit period by dividing the value by dividing the value by the period of use of the reference group; And
(A-2) the web server setting a value obtained by multiplying the depreciation rate per unit period by the expected period of use as a pre-discount rate of the posted product group; How to offer price. 7. The method according to claim 2 or 6,
In accordance with the reliability of the member subscribed to the website includes a member trust reflecting process to differentially apply the deduction of the discount rate in step (A-2), the process of reflecting member trust,
(G-1) the web server extracting the total transaction amount and the total transaction cancellation amount of all members from the database, and calculating the average reliability using the same;
(G-2) the web server extracting the total transaction amount and the total cancellation amount of the member from the database, and calculating the member reliability using the web server; And
(G-3) the web server increases the discount rate if the member reliability is greater than the average reliability, and decreases the discount rate if it is small; providing a discount rate on the premise of returning a product, comprising: Way. The method according to claim 1 or 2 or 6,
The web server provides a discounted price on the premise of returning a product, characterized in that for setting the expected use period for the buyer to enter a new use period input field as the content of the product information providing web page.

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