KR100429358B1 - probability auction method and system using computer communication network - Google Patents

Abstract

The present invention relates to a probability auction method and a probability auction system using a computer communication network, and receives from a seller various sales prices for a product to be sold, sales information including a probability of each selling price, and a selling price change cycle. In addition, the probable auction target product is registered, and a purchase order having a different selling price for each corresponding selling price is generated for each selling price variation period based on the probability of each selling price during a predetermined selling period set by the seller. Before the auction closes, by setting a transaction to the highest selling order price for a purchase order that includes the highest order price while the purchase order price is higher than the current selling order among the purchase orders generated before the selling price change point. Even if a purchase order with more than the current sales order is entered If there are features that can be entered into the transaction in a very low price. Therefore, it is possible to induce the interest of prospective buyers, thereby having the advantage that it can be competitive to other models by attracting customers effectively.

Description

Probability auction method and system using computer communication network

The present invention relates to a probability auction method and a probability auction system using a computer communication network. In particular, a purchase order is recruited while the selling price for any product is changed based on a predetermined probability condition, and the desired purchase price is the selling price. It relates to a probability auction method and a probability auction system using a computer communication network characterized in that the transaction is concluded with respect to the above-described purchase order.

Recently, various electronic commerce using the Internet has been introduced. When the electronic commerce is classified by type, there are a shopping mall method, auction method, reverse auction method, and matchmaking method.

The present invention relates to auction-based electronic commerce among these.

In the auction method, when a seller auctions a product to be sold using a computer communication network, a plurality of potential purchasers each present various desired purchase prices, and among the various suggested purchase prices, the final purchaser who presents the highest desired purchase price It is a type of electronic commerce in which a transaction is concluded by closing the transaction.

This auction method has a feature of determining the highest price by competing a plurality of prospective buyers from the seller's point of view. Therefore, if the product to be sold is a popular item, the prospective buyers are attracted, and as a result, the selling price of the product increases until the close of the auction.

Therefore, a prospective purchaser who wants to purchase a product of many popular items may purchase a corresponding product at a high price due to excessive competition with other prospective buyers to purchase the product. We also had to wait until the auction close to know the outcome of the deal.

Accordingly, the present invention has been made to solve the conventional problems as described above, the first object of the present invention is to be able to purchase the desired goods at a lower price by the prospective buyers by the probability value set in advance by the seller By providing the opportunity to provide a prospective auction element by providing a game element to the prospective buyers interest, thereby providing a probability auction method and a probability auction system using a computer communication network to attract customers on the Internet e-commerce more effectively Is in.

A second object of the present invention is to provide a recording medium on which control instructions are recorded for realizing the above probability auction method.

1 is a view showing the configuration of a probability auction method using a computer communication network according to the present invention,

2 is a diagram showing the configuration of a probability auction system using a computer communication network according to the present invention;

3 is an exemplary diagram of a field configuration of a customer database of a probability auction system using a computer communication network according to the present invention;

4 is an exemplary diagram of a field configuration of a product database of a probability auction system using a computer communication network according to the present invention;

5 is an exemplary diagram of a field configuration of an order database of a probability auction system using a computer communication network according to the present invention;

6 is an exemplary diagram of a field configuration of an auction condition database of a probability auction system using a computer communication network according to the present invention;

7 is an exemplary diagram illustrating a field configuration of a probability database for each price of a probability auction system using a computer communication network according to the present invention;

7A is an exemplary diagram of field values of a probability-based probability database of a probability auction system using a computer communication network according to the present invention;

8 is an exemplary diagram of a field configuration of a conclusion history database of a probability auction system using a computer communication network according to the present invention;

9 is an exemplary view of a schematic processing procedure of a probability auction method using a computer communication network according to the present invention;

10 is an exemplary diagram for a process of registering a probability auction product of a probability auction method using a computer communication network according to the present invention;

11 is an exemplary diagram for a transaction conclusion determination process of a probability auction method using a computer communication network according to the present invention;

12 is an exemplary diagram of a post-processing process of a probability auction method using a computer communication network according to the present invention;

13A and 13B are reference graphs for a probability auction method using a computer communication network according to the present invention.

♣ Explanation of symbols for the main parts of the drawing ♣

100: probability auction system 200: database

300: Internet 400: purchase application terminal

500: sales registration terminal

Probabilistic auction method of the present invention for achieving the first object is a variety of selling price for the probability auction target product from a seller who wants to sell the product using a computer communication network, the probability for each of the selling price and the selling price change period A first process of registering a probability auction product by receiving sales information including a; and a second process of posting sale information of the product and the product when the probability auction start date preset by the seller is reached; A third process of determining a current sales order price for the corresponding product based on a probability of each other; and determining whether to conclude a transaction with respect to a purchase order registered before the current sales order price is determined, and from the time at which the current sales order price is determined A fourth process of recruiting new purchase orders until the sale price change period expires, and the fourth process And a fifth step of performing payment, goods delivery, and delivery confirmation on the purchase order concluded by the transaction, and paying the seller a sale fee with a limited transaction fee if the goods are normally delivered to the buyer. do.

The probability auction system of the present invention for achieving the first object is to recruit a purchase order while varying the selling price for any product based on a predetermined probability condition, for a purchase order that the desired purchase price is equal to or greater than the selling price. In the probability auction system for closing a transaction, a probability auction program stores the storage means, and executes the probability auction program stored in the storage means, a variety of selling prices for products to be sold from a seller, and the probability of each selling price. And receiving sales information including a sales price change cycle, registering a product for a probability auction, and selling prices for the corresponding products based on the probability of each selling price during a predetermined sales period set by the seller. A purchase order can occur while a different sales order occurs for each of the sales price change cycles. And a processor configured to set up a transaction with the highest selling order price for the purchase order including the highest order price, wherein the purchase order price is higher than the current selling order value among the purchase orders generated before the selling price change point. It is done.

The recording medium of the present invention for achieving the second object must be computer readable, and when the recording medium is driven by a computer, control instructions for realizing the probability auction method are recorded.

Hereinafter, with reference to the accompanying drawings will be described in detail a preferred embodiment of the probability auction method and the probability auction system of the present invention.

1 shows a configuration of a probability auction method using a computer communication network according to the present invention. Referring to FIG. 1, in the probability auction method of the present invention, after the seller 10 and the buyer 20 enter into a transaction through the probability auction system 30, and perform payment, the seller 10 may purchase the buyer 20. After delivering the goods to the), and receives a delivery confirmation from the buyer 20 performs a series of processes to notify the probability auction system (30).

That is, when the probability auction system 30 receives the sales registration for the probability auction target product from the seller 10, the probability auction system 30 receives the purchase request for the probability auction target product from the buyer 20 while displaying the sale information. Proceed with the auction.

When the probability auction is concluded in this way, the buyer 20 pays the purchase price for the corresponding product to the probability auction system 30, and the probability auction system 30 concludes the conclusion to the seller 10 and the buyer 20. Notify. The seller 10 notified of the conclusion result delivers the product to the buyer 20, and then receives a delivery confirmation from the buyer 20 to notify the probability auction system 30. Then, the probability auction system 30 pays the selling price to the seller 10.

This series of processes is similar to the case of general e-commerce, and a more specific method of probability auctioning is discussed later in the description.

2 shows a configuration of a probability auction system using a computer communication network according to the present invention. Referring to FIG. 2, the probability auction system of the present invention includes a server 100 on which a processor for executing a probability auction program is mounted, and a database unit 200 for operating the probability auction program. The server 100 executes the probability auction program while referring to or updating various databases (hereinafter, referred to as 'DB') included in the database unit 200.

The database unit 200 includes a customer DB 210, a product DB 230, an order DB 240, an auction condition DB 260, a price-specific probability DB 270, and a execution history DB 280. It includes.

Such a probability auction system includes terminals 400, 500, such as a personal computer, a notebook computer, a hand computer, an Internet mobile phone, an Internet television, and the like connected to the server 100 through a computer communication network such as the Internet 300. In the embodiment of the present invention, an example of a personal computer is shown.

A purchase application program is installed in the purchase application terminal 400 for receiving the purchase application of the prospective purchasers, and a sale registration program is mounted in the sale registration terminal 500 for accepting the sale registration of the sellers. The purchase application and sales registration program are downloaded from the server 100 via the Internet or installed on the hard disks of the terminals 400 and 500 from a recording medium such as a distributed CD (Compact Disc).

Referring to Figure 3, the customer DB 210 is to manage the seller or buyer, customer number 211 / customer name 212 / resident registration number 213 / customer type 214 / post code 215 / Address 216 / Login ID 217 / Password 218 / Phone Number 219 / Cell Phone Number 220 / Email Address 221 / Email Receipt (222) / Customer Rating 223 / Transaction Status 224, and so on.

The customer type 214 determines whether it is a seller or a buyer. The customer rating 223 is automatically determined in consideration of the purchase performance, the return rate, the number of seller complaints, the number of delivery accidents, and the like according to the transaction performance of the customer. The tradable state 224 determines whether or not the trade is possible or not depending on the customer's transaction credit.

Referring to FIG. 4, the product DB 230 is for managing a probability auction target product, and includes a product number 231 / product model number 232 / product name 233 / manufacturer number 234 / product specification 235 ) / Product description 236 / commercial selling price 237 / registrant ID 238 / transaction status 239, and the like.

The product description 236 includes various product information that may help a buyer to select a product, such as image information of the product.

Referring to FIG. 5, the order DB 240 is for managing a sales order or a purchase order from a seller or a purchaser, and is a product number 241 / order number 242 / order customer number 243. / Original order number (244) / order state (245) / order date and time (246) / purchase sale division (247) / order type (248) / order price (249) / order quantity (250) / correction quantity (251) Fields such as / quantity of cancellation (252) / remaining amount (253).

The original order number 244 refers to the order number for the original order DB to be corrected when the order DB is a correct order. The order status 245 manages whether the order is concluded or not. The order type 248 manages whether the order is an initial order / correct order / cancel order. The remaining amount 253 manages the remaining quantity by subtracting the canceled quantity or the concluded quantity from the initial order quantity or the corrected quantity.

Referring to FIG. 6, the auction conditions DB 260 is for managing the auction conditions entered by the seller at the time of registration of the probability auction product, and the serial number 261 / product number 262 / auction start date and time 263 / auction. Fields such as deadline 264, price change cycle 265, seller customer number 266, auction start price 267, auction quantity 268, auction progress status 269, and the like.

The price change period 265 manages a period in which the selling price is changed and applied based on various prices preset by the seller and probabilities for each price.

Referring to FIG. 7, the probabilities DB 270 for each price is for managing various pre-set prices and probability information for each price. The product number 271 / seller's pass number 272 / variable auction price ( 273 / probability 274.

FIG. 7A illustrates an example of field values of a probabilities database for each price. Referring to FIG. 7A, a variable auction price set by a customer having a seller customer number of '0001' for a product having a product number of '1000000001' is '10'. 10,000 won ', '90, 000 won', '80, 000 won ', '70, 000 won', '60, 000 won 'and '30, 000 won', and the probability of each price is 40% for 100,000 won and 30% for '90, 000 won ' , '80, 000 won 'and '70, 000 won' are 10%, '60, 000 won 'is 9%, and '30, 000 won' is 1%. That is, a person who intends to purchase a product having a product number of '1000000001' may purchase the corresponding product at the price of one of the auction prices.

Referring to FIG. 8, when an arbitrary purchase order is concluded by a probability auction having the above probability condition, the execution details DB 280 for managing the execution details is a product number 281 / execution number 282 /. Fields such as sales order number 283 / purchase order number 284 / closing date and time 285 / closing price 286 / closing quantity 287 / paying status 288 / shipping status.

9 is an exemplary view of a schematic processing procedure of a probability auction method using a computer communication network according to the present invention. Referring to FIG. 9, in the probability auction method according to the present invention, first, a probability auction product is received from a seller who wants to sell a product using a computer communication network and registers the probability auction product (S100).

In this case, the probability auction target product information input from the seller includes various selling prices for the corresponding products, probabilities for each selling price, and selling price fluctuation periods, and the seller is as illustrated in FIGS. 5 to 7. Enter the field values in the database to register an order for the probable auction product.

When the probability auction start date preset by the seller at the time of registration of the order, based on the information entered at the time of registration of the probability auction product and the sale information of the product is posted on the web (s300). At this time, the information to be posted includes information on the probability auction target product, the lowest selling price of the product and the probability of the lowest selling price.

That is, when the price is determined by the probability value as shown in FIG. 7A, the lowest selling price is '30, 000 won 'and the probability of generating a sales order by the selling price is 1%. Let's do it.

After determining the current selling order price for the corresponding product based on the probability for each selling price set as described above (s400), it is determined to conclude the sales transaction by recruiting the prospective purchasers (s500).

At this time, the current sales order price is determined based on the probability information set by the seller at the time of probability auction product registration (s100) as shown in the example shown in FIG. 7A. In order to explain the determination process of the current sales order in more detail, For example, the case of determining the variable selling price using the random number generated by the random number generator will be described below.

In the example shown in FIG. 7A, since the minimum probability of each auction price is 1/100, first, the remaining value R obtained by dividing the random number generated by the random number generator by 100 is calculated. At this time, since the possible residual value R is 0 to 99, the current order price is determined based on the residual value R and the probability of the variable price of FIG. 7A. That is, if the remaining value (R) is 0 to 39, the current sales order price is determined to be 100,000 won. If the remaining value (R) is 40 to 69, the current sales order price is determined to be 90,000 won, and the remaining value (R) is For 70-79, the current sales order price is US $ 80. If the remaining value (R) is 80-89, the current order price is $ 7. If the remaining value (R) is 90-98, the current order price is 6 If the remaining value (R) is 99, the current order price is determined to be 30,000 won. Such a current order determination method is not limited to this method as an example, and it is possible to apply various methods that can be implemented.

However, the current selling order price, which is initially determined at the start of the probability auction, is determined by the probability auction starting price set by the seller, and the probability auction starting price is generally the market selling price of the product.

On the other hand, in order to conclude a transaction, it is determined whether a transaction is concluded with respect to a purchase order registered before a current sales order price is determined, and a new purchase order is recruited from the time when the current sales order price is determined until the sales price change cycle expires. . This is to prevent entering a purchase order after checking the price if the current sales order price has fallen to the minimum.

As such, another method for preventing input of a purchase order after checking the price when the current sales order price falls may be a method of setting a price change period very short (for example, '1 second').

When a transaction for any purchase order is concluded in the process (s500), payment is made on the purchase order for which the transaction is concluded, product delivery and delivery confirmation are performed, and if the product is normally delivered to the buyer, a transaction fee is provided to the seller. The post-processing process (s600) of paying the limited sales price is performed.

At this time, the post-processing step (s600) may be different in the processing order according to the characteristics of the seller or the probability auction system, for example, after the completion of all the transaction conclusion or after each individual transaction conclusion.

In addition, the probability auction (s400 to s600) for the corresponding probability auction target product is performed until the conclusion of the transaction for all the probability auction target products registered by the seller is completed or the probability auction deadline set by the seller is reached (s700, s800). Keep repeating.

At this time, in order to further increase the interest of the prospective purchaser, the method may further include displaying the change history information of the currently determined sales order price and the previous sales order price, and purchase order quantity information for each purchase order price range to the prospective purchasers. . Therefore, the prospective purchasers can analyze the historical information to calculate the minimum successful bid price and bid at the probability auction. In the process of performing this process, the prospective purchasers can enjoy the pleasure of playing a game.

10 is an exemplary diagram for a process of registering a probability auction product in a probability auction method using a computer communication network according to the present invention. Referring to FIG. 10, the probability auction product registration according to the present invention first selects a probability auction product (s101), and if the selected product is not a registered product, receives a product code for a corresponding product and performs product registration. (S102).

In addition, an order basic data including an order quantity and an order date and time for the probability auction target product selected by the seller is prepared and the sales order is applied (s104). To this end, the seller enters field values of the order DB fields shown in FIG. 5.

When applying for a sales order as described above, a probability auction condition including a probability auction start date and a deadline, a price change period, a probability auction start price, and a probability auction quantity is input (s105). To this end, the seller enters field values of the auction condition DB fields shown in FIG. 6, and the probability auction starting price is generally determined by the market selling price of the corresponding product.

Finally, various probability auction prices for the product and the probability of each price are determined (s106). To this end, the seller inputs field values of probability DB fields for each price shown in FIG. 7 (s106). At this time, the probability DB for each price is composed of the same number as the number of probability auction prices given to one product.

11 is an illustration of a transaction conclusion determination process of the probability auction method using a computer communication network according to the present invention. Referring to FIG. 11, in order to determine the conclusion of a transaction, first, whether there is an unopened purchase order among the purchase orders registered before the current sale order price is determined, and the purchase order price among the unsold previous purchase orders is the current sale price or more, Check whether there is an order (s501, s502). As a result, if there is a previous purchase order whose purchase order price is more than the current sales order, a probability auction transaction is concluded based on the highest purchase order price and the initial order priority among the purchase orders (s503). That is, among the previous purchase orders whose purchase order price is equal to or greater than the current sales order price, the purchase order value is selected from the highest purchase order in descending order to determine the conclusion of the transaction by selecting the purchase order as many as the current probability auction product. If the quantity of the purchase order selected from the order price in descending order is greater than the quantity of the current probable auction product, the purchase order with higher purchase order and the earlier purchase order time is given priority to give priority to the purchase order with higher priority. Select to conclude the deal.

When all of the transactions for the probability auction product quantity set by the seller are concluded by such a conclusion process, after indicating that the conclusion of the transaction is completed (s507), the transaction conclusion determination process (s500) is terminated.

On the other hand, if there is a probability auction product is left until the price change period is expired from the time the sale order price is determined (S505, s506), the transaction conclusion decision process (s500) is terminated.

12 is an exemplary diagram of a post-processing process of a probability auction method using a computer communication network according to the present invention. Referring to FIG. 12, the post-processing process of the probabilistic auction method using a computer communication network receives payment from a buyer who has entered into a first deal (S701), and notifies the buyer and the seller of the result of the deal (S702). When the seller delivers the product to the buyer, the seller checks whether the seller normally delivered the product to the buyer (s703 and s704). As a result, if the seller normally delivers the product to the buyer, the seller pays the sales fee with limited transaction fee (s705). This series of processes is similar to payment processing in general e-commerce.

13A and 13B are reference graphs for a probability auction method using a computer communication network according to the present invention.

Referring to FIG. 13A, in the case of the probability purchase shown in FIG. 13A, the selling period is from 10 AM to 5 PM, the initial selling order price is 550,000 won, and the selling order price fluctuates every 10 minutes. After the change process as shown in the present, the sales order price is determined to be 310,000 won. On the other hand, if you look at the purchase order price of each hour, the purchase order of 220,000 won at 11 o'clock, 120,000 won at 12 o'clock, 300,000 won at 1 o'clock, 130,000 won at 2 o'clock, 330,000 won at 3 o'clock, and 120,000 won at 4 o'clock. It is registered. In the example of FIG. 13A, the current selling price is 310,000 won, and among the purchase orders generated before the current selling price change point, the highest purchase order price is 330,000 won generated at 3 o'clock, so the person who made the purchase order at 30,000 won at 3 o'clock. The product will be purchased for 330,000 won. Therefore, this person will buy a product that could be purchased by paying up to 550,000 won for 330,000 won, which will benefit 220,000 won.

On the other hand, referring to Figure 13b, it shows the purchase order quantity and the current sales order price for each price range, the current sales order price is shown in a parallel line on the graph, 400,000 won and looking at the previous order status, a total of 262 people participate in the auction The maximum amount is 335,000 won. Therefore, if the sale order price, which is currently 400,000 won, falls below 335,000 won, the transaction is concluded in the order of purchase order that first appeared at 335,000 won. Therefore, if an order is placed at a price higher than 335,000 won, the purchase order may be preferentially executed at the time when the selling price drops.

The probability auction system of the present invention continuously displays graphs as shown in FIGS. 13A and 13B to prospective purchasers during a probability auction. Therefore, the prospective purchasers may apply for a purchase order by analyzing such a graph and then determine a successful purchase order price.

The above description is merely an example of an embodiment, and the present invention is not limited to the above-described embodiment and can be variously changed within the scope of the appended claims. For example, the shape and structure of each component specifically shown in the embodiment of the present invention can be modified.

As described above, the present invention recruits a purchase order while varying a sale price for an arbitrary product based on a predetermined probability condition, and concludes a transaction for a purchase order in which a desired purchase price is equal to or greater than the sale price. According to the set probability value, the prospective buyers are given the opportunity to purchase a desired product at a lower price. Therefore, there is an advantage that it is possible to induce the interest of the prospective buyers by providing a game element to the prospective buyers, thereby attracting customers on the Internet e-commerce more effectively.

Claims (12)

delete Sales that include multiple sales prices for probable auction products, probabilities by sale price, probable selling price cycles, probable auction start dates, probable auction close dates, and probable auction quantities from sellers who wish to sell products using a computer network A first process of receiving information and registering a probability auction product; A second process of providing a product and sale information of the product to a potential purchaser connected through a computer communication network when the probability auction start date is preset by the seller; A third process of determining a current selling order price for the corresponding product among the plurality of selling prices based on the selling price variation cycles; A fourth process of determining whether to conclude a transaction with respect to a purchase order registered before the time at which the current sales order is determined; In order to receive information regarding payment, product delivery, and delivery confirmation of the purchase order concluded in the fourth step, and to confirm that the product is normally delivered to the buyer, the seller should pay a transaction fee with a limited transaction fee. And a fifth process of performing a probability auction method using a computer communication network. The method of claim 2, The method may further include a sixth process of repeating the third to fifth processes until the transaction is completed as much as the probability auction quantity preset by the seller, or until the probability auction deadline set by the seller. Auction method using a computer network. The method of claim 2, And a seventh process of providing the purchase planner with change history information of the determined current sales order price and previous sales order price and purchase order quantity information for each purchase order price. The method of claim 2, wherein the first process is Receiving an order basis data including an order quantity and an order date and time for the probability auction target selected by the seller; Receiving an auction condition including a probable auction start date and a deadline, a price change period, a probable auction start price, and a probable auction quantity for the probable auction target; Probability auction method using a computer communication network comprising the step of receiving a price-specific probability for the various selling prices. The method of claim 2, wherein the second process Probability auction method using a computer communication network characterized in that the information on the probability auction target product, and the sale price of the product including the lowest selling price and the probability of the lowest selling price by using a computer communication network. The method of claim 2, wherein the fourth process The purchase order of the purchase orders registered before the point of time at which the current sales order price is determined, the purchase order number of purchase orders of which the probability of auction is currently available in descending order from the purchase order having the highest purchase order price among the purchase orders of which the purchase order price is equal to or greater than the current sales order price Probabilistic auction method using a computer communication network, characterized in that for determining the conclusion of the transaction. The method of claim 7, wherein the fourth process is If the quantity of the purchase order selected in descending order of the purchase order price from the highest purchase order price is greater than the quantity of the current probable auction items, the purchase order having a high purchase order price and the purchase order point at which the purchase order point is earlier is given priority to purchase with high priority. Probability auction method using a computer communication network characterized in that to determine the conclusion of the transaction by sequentially selecting the order. In the probability auction system that recruits purchase orders while varying the selling price for any product based on a predetermined probability condition, and concludes a transaction for a purchase order whose desired purchase price is equal to or greater than the selling price. Storage means for storing the probability auction program; And a processor for executing the probability auction program stored in the storage means, The probability auction program Sales that include multiple sales prices for probable auction products, probabilities by sale price, probable selling price cycles, probable auction start dates, probable auction close dates, and probable auction quantities from sellers who wish to sell products using a computer network A first module for receiving information and registering a probability auction product; A second module for providing a product and sale information of the product to a prospective purchaser connected through a computer communication network when the probability auction start date preset by the seller; A third module for determining a current selling order price for the corresponding product among the plurality of selling prices at every selling price change period based on the selling price probabilities; A fourth module for determining whether a transaction is concluded with respect to a purchase order registered before the current sale order price is determined; In order to receive information regarding payment, product delivery, and delivery confirmation of the purchase order concluded in the fourth step, and to confirm that the product is normally delivered to the buyer, the seller should pay a transaction fee with a limited transaction fee. And a fifth module comprising a probability auction system using a computer communication network. The method of claim 9, wherein the storage means Probability auction system using a computer communication network comprising a customer database, product database, order database, auction conditions database, price by probability database, execution history database. delete delete