KR20000058304A - Purchaser-oriented electronic commerce method - Google Patents

Abstract

PURPOSE: An inverse purchasing electronic commercial method is provided receiving a supply information from a provider in accordance with a purchasing information requested by a purchaser and selecting a certain supplier. CONSTITUTION: A purchaser client requests an item to a server(S101). A requested information is classified based on the purchase-requested product. A request information is classified based on a purchase request(S201). The request of the purchaser is gathered based on the product and is transferred to the supplier client of each product(S203). The supplier client provides a supply information to the server(S301). The supply information is received from a plurality of suppliers with respect to a corresponding product in the server, and a certain company is recommended among the supply information(S205). A page is separately formed based on each product in the server and a product-based page is provided to the purchase requester of a corresponding page(S207).

Description

Purchasing-oriented electronic commerce method

The present invention relates to Internet e-commerce. More specifically, the present invention relates to a reverse purchase method (buyer-centered) electronic commerce method comprising a method of receiving supply information from a supplier and selecting a suitable supplier according to the purchase information requested by the buyer.

In recent years, as the Internet becomes more popular, electronic commerce through the Internet is becoming a new method of commerce in addition to the conventional field trading. In general, the electronic commerce method is characterized by a computer-based communication between a seller who opens a shopping mall homepage on a global communication network called the Internet and a buyer who wants to enter a shopping mall.

General and basic internet shopping mall concepts are explained. Certain sellers open their own shopping mall homepages in a computer communication network (hereinafter referred to as the Internet) such as the World Wide Web. Buyers can browse the mall by connecting to the Internet and browsing various Internet sites. In order to purchase a product desired by a buyer looking at the product information provided by the shopping mall, the credit card to be paid is presented while ordering the corresponding product through the Internet by the order method provided by the shopping mall. The seller who opened the shopping mall asks the credit card company to inquire and pay the buyer's credit card, and the credit card company pays the payment amount to the seller if there is no problem with the credit card. The seller then delivers the goods to the buyer by appropriate means. After a certain period of time, the credit card company will charge the card amount to the buyer.

The Internet shopping mall method utilizes the recently developed communication protocol, image processing technology, software, multimedia, and multitasking technology, and does not need a wide store and management personnel as in a conventional market transaction, and does not require the labor of the buyer. It is easy to find a product, and it is attracting much attention from many operators because it has a greater promotional effect than its efforts.

Accordingly, technical attempts to promote such electronic commerce and related advertisements using the Internet have been performed in recent years, both at home and abroad. For example, Korean Patent No. 10-0197944 (Internet advertising apparatus and method) describes a device and method for advertising suitable for a user using the Internet, and Korean Patent No. 10-0217378 (using e-mail). Breaking news service providing method) is a technology that provides the e-mail in real time by selecting only the content desired by the user. In the case of Japan, Japanese Patent Publication (Same as below) (Pyeong) 10-49591 is an Internet advertising method, (Pyeong) 10-49592 is a product brokerage sales system, (Pyeong) 9-34902 is an advertisement information supply method, 10-149396 is a commerce system, and (9) 288696 is a description of a mail order method using the Internet. In the United States, for example, US Patent USP5890138 is a computer reverse auction, USP5937391 is an online shopping mall, USP5890137 is an online shopping mall and payment method, USP5740549 is an information and advertising method, USP5745681 is a stateless shopping method, and USP5794210 is an Internet advertisement. Techniques on the method.

On the other hand, as a kind of electronic commerce method, a shopping mall consisting of a reverse purchase method (centered on a buyer) is prevalent. It is an e-commerce method in which a large number of buyers or a plurality of suppliers are involved by posting a product and price offered by a supplier in a shopping mall to recruit consumers who want to purchase the product. There is a problem that it is difficult to purchase the product according to the buyer's request because it fits the buyer's request (the item that triggers the purchase motivation by acting on the buyer's desire in an advertisement or sale).

If consumers can choose their own products, price and specifications, and suppliers can provide supply information accordingly, buyers can find the best supplier among their suppliers and purchase the products they need. will be. If this e-commerce method can be operated on the server, the buyer can find a supplier that meets their requirements, and the server operator can connect the supplier and the buyer and increase the commission or advertising revenue by in charge of the e-commerce. As expected, the supplier can improve the customer service compared to the conventional commerce method and can secure a large number of customers, thereby increasing sales.

On the other hand, since the supply price can be lowered for the products that many buyers want, the supplier can provide supply information with a lower unit price, but in reality, it is difficult to grasp the buyer's preference or purchasing tendency. It is a commerce reality that it is difficult to present a discounted state at an early stage.

The object of the present invention is that, when a buyer transmits the purchase information to the server, the server compares the purchase information with the supplier's supply information, selects a suitable supplier, and configures a separate page for each product so that the buyer can select a desired product. By identifying the purchase tendency of the buyer, and then re-supply the supply information to provide a reverse purchase method electronic commerce method to present to the buyer.

1 is a system block diagram in which the method of the present invention is realized.

2 is a process flow diagram of a method of the present invention.

The present invention is basically implemented in a client-server system connected via a network such as the Internet. Such a system is shown in FIG. The client system 13 and the server system 15 are connected via a network 11 such as the Internet. The server 15 is composed of a web server 17, a server program 19, and various databases 21. .

The web server 17 includes a CGI and an HTML page to provide the shopping site web page according to the present invention to the client 13 via the network 11. The client 13 is provided with a web browser, so that the web page in HTML format provided by the web server 17 can be navigated. The system as shown in FIG. 1 is a known system, and those skilled in the art can modify it to suit service characteristics.

The reverse purchase e-commerce method according to the present invention is made in the system as shown in FIG.

Requesting purchase of a product by transmitting purchase information to a server from a buyer client,

The server analyzes the purchase information to classify the request information for each requested product,

Collecting the buyer's request for each product and delivering it to the supplier client of each product;

Providing the supplier information to the server from the provider client,

Determining, from the server, the appropriate supplier among suppliers for each product,

Configuring separate pages for each product on the server,

Providing the configured product page to the purchaser of the product,

If the buyer purchased the desired product, updating the number of purchases for each product on the server and analyzing the purchase tendency,

Re-determining the supply information for each product according to the analyzed purchasing tendency,

And posting the reconfirmed supply information on a page organized by product.

Each step is described in detail as follows.

(1) requesting the purchase of goods from the buyer client to the server [101].

This step is performed by accessing the e-commerce web page built on the server through the browser of the buyer client system and then requesting the purchaser according to the product information and the order information provided by the web page of the server. Multiple buyers can be reverse buyers by requesting the server for orders for different products they want. The product purchase request may be made by transmitting purchase information of a predetermined format to the server. The purchase information may simply consist of a product code field, a delivery date field, and a price field. In addition, the purchase information may include a field for a specific specification desired by the buyer. The server may be able to determine the format of the purchase information in advance.

(2) classifying request information for each product requested for purchase [201].

As such, the purchase information on the jointly requested product is analyzed and classified by product. Since the purchase information transmitted from the client to the server includes a product name (product code), it is easy to classify the request information for each product by analyzing the purchase request information at the server.

(3) collecting the buyer's requirements for each product and delivering it to the supplier client of each product [203].

The purchase request information includes each buyer's requirements (for example, delivery date, price, delivery method, etc.) in addition to the product code, so that these requirements can be collected for each product. In order to facilitate the data processing, it is preferable to provide a different input word from the server so that each buyer selects it in a pull-down format rather than inputting a request.

After the requests are collected for each product, supply information is provided to the supplier of the product. Since there are a number of suppliers who deal with the same product, the purchase information collected by each product is provided to all suppliers. It can be provided to the provider by means of e-mail or file transfer, but it can also be posted to a server's web page and a provider with access to it can enter the server directly using their browser.

(4) providing supplier information to the server at the supplier client [301].

Each supplier grasps the list of products to be supplied and the buyer's request, and sends the supply information including the conditions under which the supplier can supply the products to the server. For example, if a buyer asks the server for purchase information for a product called A that is under 500,000 won within a week, "Supplier X can supply the product A for 480,000 won after 10 days", " The supplier Y can supply the server with supply information such as "520,000 won for goods A after 3 days", "Supplier Z can supply for goods A after 49 days for ₩ 490,000". The server stores the supply information in the supply information DB.

Supply information includes discounted supply prices for multiple buyers. For example, "Supplier X discounts 10% off the standard price for 100 buyers for product A, or 20% for 200 buyers." . These discounted price information is stored only on the server and is not posted externally. This field is a condition that will be used later in the supply information revalidation phase.

(5) After the server receives supply information from a plurality of suppliers for the product, a certain recommendation company is determined among these supply information [205].

This can be done automatically on the server. For example, if a buyer's purchase information includes a specific product code, delivery date, and price fields, and the supplier's supply information includes product code, delivery date, and price fields, and the delivery date field takes precedence over the price field, By comparing the delivery date field of the information and the delivery date field of the supply information to select the supplier with the closest delivery date, and then compare the price field among these suppliers and finally select the supplier with the closest price. In this case, in order to recommend a predetermined number of suppliers to the buyer, it is preferable to use a method of selecting suppliers included in the range by giving a certain range value without selecting the nearest data when comparing the delivery date field and the price field. .

As another example, the server may assign its own score. In other words, the corresponding fields of purchase information and supply information are compared and ranked in order of proximity. At this time, since the priority of the supplier will be different for each field, the total sum score for all the fields can be calculated by assigning a specific weighting attribute to the field. In this way, the score for the supply information may be calculated to determine the top schedule rank as a recommendation company.

As such, selecting one supplier or a plurality of suppliers included in a predetermined range by comparing the purchase information and the supply information may be easily performed by those skilled in the art. Technology.

(6) (7) a step in which a separate page for each product in the server to provide a product-specific page to the purchase requester of the product [207].

As in step (5), the server that determines a plurality of suppliers close to the buyer's request as a recommendation company configures a separate page for each product. In step (1), since the purchase information of a plurality of buyers is classified by goods and received supply information from a corresponding supplier, it is preferable to configure a separate page for each product even when providing the selected supply information to the buyer. After storing several HTML-based web pages on the server in advance, a reverse purchase request comes in, classified by products to obtain supply information, and then reconfigured by calling the web page most suitable for each product. This technique is also obvious to those skilled in the art.

For example, the attributes of a specific web page may be defined according to a product code, and then a web page having an attribute of a requested product code may be called and reconfigured. Now, a plurality of buyers can enter a subpage in the server homepage corresponding to the product requested by the customer and select a desired supplier to purchase the product [103].

(8) In the case where the buyer purchases the desired product, updating the number of purchases for each product in the server and analyzing the purchase tendency [209].

When the purchaser sees the supply information posted on the page provided by the server for each product, and purchases a specific product [103], the server counts the number of purchases for the product and updates the supply information DB. The number of purchases of each product in the supply information DB will be accumulated for a certain period of time, and the server can analyze this to determine the customer's demand or purchase tendency for a specific product.

(9) Re-determination of supply information for each product according to the analyzed purchasing tendency [211].

Since the more buyers who prefer a particular product, the lower the supply price, the server re-adjusts the supply information provided in step (4). For example, if it is determined that the number of purchases for A product is sufficient to reduce the supply price, the supplier re-determines the new supply information using the discount price information presented in step (4) and stored only in the server.

(10) Posting the re-determined supply information on the page organized by product in step (6) [213]. The reconfirmed supply information is posted back to the page organized by product so that the buyer can confirm it as new supply information. Therefore, a product with a high number of purchases may be re-adjusted at a high discount rate to further increase the buyer's desire to purchase.

As described above, specific embodiments of the present invention have been described, but the present invention is not limited to the above embodiments. For example, the present invention can be applied to intangible goods such as human resources, software, intellectual property, and services, in addition to tangible goods. The technical spirit of the present invention is determined by the claims described below.

According to the present invention, a buyer can select a product supplier that fits his or her desired condition and purchase a desired product, and the more buyers, the more the product price can be discounted, and the server operator connects the supplier and the buyer and performs e-commerce. You can expect to increase your commission or advertising revenue, and the supplier can adjust buyers 'demands by recognizing buyers' demands, so that you can sell at the right price without being misled. As the possibility increases, the customer service can be improved compared to the conventional commerce method, and a large number of customers can be secured, thereby increasing sales.

Claims (13)

In a system where a server running a shopping mall, a plurality of buyer clients, and a plurality of supplier clients are connected through a network, (1) transmitting the purchase information from the buyer client to the server, (2) the server analyzes the purchase information and classifies the information by product, (3) collecting the buyer's requirements for each product and delivering it to the supplier client of each product; (4) providing supplier information to a server from a supplier client, (5) determining a recommendation company among suppliers for each product in the server; (6) configuring a separate page for each product in the server, (7) providing the configured product page to the purchase requester of the product, (8) when the buyer has purchased the product, updating the number of purchases for each product in the server and analyzing the purchase tendency; (9) re-determining the supply information for each product according to the analyzed purchasing tendency, And (10) posting the re-determined supply information on a page organized by product in step (6). In claim 1, the step (1) is connected to the e-commerce web page built on the server via the browser of the buyer client system and then the buyer requests the order according to the product information and the order information provided by the web page of the server The reverse purchase e-commerce method, characterized in that by the. The method of claim 1 or 2, wherein the purchase information is composed of a commodity code field, a delivery date field, a price field. In claim 1 or 2, The supply information comprises a commodity code field, a delivery date field, a price field, and a discounted price field according to the number of buyers. In claim 3, in step (5), After comparing the delivery date field of the purchase information and the delivery date field of the supply information to select the supplier that suggested the closest delivery date, and finally compare the price field among these suppliers to finally select the supplier that presented the closest price Reverse purchase e-commerce method. In claim 3, step (5) is Comparing the corresponding fields of the purchase information and the supply information and ranking them in order of proximity; Calculating a total sum score for all fields by assigning a specific weighting attribute to the field, And determining as a recommendation company up to a predetermined schedule rank as the score. In claim 5, step (5) is Comparing the corresponding fields of the purchase information and the supply information and ranking them in order of proximity; Calculating a total sum score for all fields by assigning a specific weighting attribute to the field, And determining as a recommendation company up to a predetermined schedule rank as the score. In claim 1 or 2 or 5 or 6 or 7, step (6) defines the attributes of a particular web page according to the product code of the purchase information, and then reconstructs by calling a web page having the attribute of the requested product code Reverse purchase e-commerce method comprising a. The method of claim 3, wherein step (6) includes defining a property of a specific web page according to a product code of the purchase information, and calling and reconstructing a web page having an attribute of a requested product code. . The method of claim 4, wherein the step (6) includes defining a property of a specific web page according to the product code of the purchase information, and calling and reconstructing a web page having the property of the requested product code. . The method of claim 4, wherein the discount price field of the supplier's supply condition is not posted on the page configured for each product in steps (6) and (7). The method of claim 4, wherein the step (9) re-determines the discount price field of the supply information corresponding to the analyzed purchasing tendency for each product as new supply information. 12. The method of claim 10 or 11, wherein step (9) re-determines the discount price field of the supply information corresponding to the analyzed purchasing tendency for each product as new supply information.