KR20030058110A - Method and System for electronic commerce using Products Satisfaction Index - Google Patents

Abstract

PURPOSE: An electronic commerce method and system is provided to evaluate a value of a commodity according purchase conditions, search, and purchase the commodity based on the evaluated value. CONSTITUTION: Member information related to a purchaser and a seller is received and stored in a purchaser database and a seller database. In addition, commodity information is received from the seller and stored in a commodity database(S100). A name and a price condition of the commodity are received, searched, and displayed to the purchaser(S200). Commodity information inputted by the seller is compared with various kinds of purchase conditions inputted by the purchaser with respect to a searched commodity firstly, a commodity satisfaction rate of the commodity is calculated, and a desired price is calculated based on the commodity satisfaction rate(S300). The final search is executed by inputting the commodity satisfaction rate(S400). When the commodity is purchased, a purchase approval is executed by comparing a purchase suggestion price and the minimum sale approval price of the seller in accordance with the desired price and the commodity satisfaction rate(S500).

Description

Method and System for Electronic Commerce using Product Satisfaction Index

The present invention relates to an electronic commerce method and system applying the product satisfaction level, and more specifically, the product satisfaction level is calculated by referring to the product information provided by the seller and the purchase conditions provided by the buyer, and the purchase satisfaction price is calculated based on this. The present invention relates to an electronic commerce method and system for performing commerce that satisfies both buyer and seller.

In general, when a product is searched for e-commerce through the Internet, it is based on only a few purchasing conditions such as a brand name or a price condition. Therefore, other products that are not at all suitable for the purchase condition of the buyer are listed without necessity.

Therefore, the buyer spends a lot of time because he has to find a desired product with his purchase conditions in mind, and often finds the desired product and just passes by.

Many internet sites have been developed to solve these problems. Among them, there is a place where a product is evaluated by inputting a random satisfaction score of another person regarding the purchase conditions related to the product quality, price, delivery, return and other service items. .

To do this, however, the operator must maintain transparency in the operational process, such as the neutrality, objectivity and fairness of the evaluation, and the sellers of the goods or the people involved are raising their numbers by using the wrong means and methods.

Moreover, these methods cannot be accurate search means from the buyer's point of view because their purchase conditions for the actual product group desired by the actual buyer are not reflected at all.

The evaluation of products centered on buyers is one of the benefits that the Internet provides to buyers, but the important task is how to make others' evaluations reliable and provide them to the product groups that buyers need.

On the other hand, the electronic commerce method on the Internet includes a conventional cyber shopping, general auction, reverse auction, commerce method by joint purchase and the like. Most of these are rigid pricing systems that are traded by offering prices only to the seller or buyer, but some pricing systems allow both sellers and buyers to settle at a price point that satisfies each other. However, in the case of a transaction in which a transaction is made by a buyer presenting a purchase price, especially in an internet shopping mall that provides a general auction or a reverse auction method, the seller does not sell a low auction price because of the purchase price that is not reasonable. All means and methods are used to increase the winning price, and even if the seller sells at the buyer's suggested price, sellers must consider huge losses because of the low price. And buyers, sellers, and Internet site operators must wait until the end of each case, and can't do anything until the deal is closed. Therefore, the problems of this unreasonable e-commerce system are hurting each other.

Accordingly, an object of the present invention is to quantitatively quantify how much the individual products the seller wants to sell to satisfy all of their purchase conditions for the product that the buyer wants to purchase, to evaluate the value of the individual products, and to calculate the products with their own numerical values. It is to provide an e-commerce method that allows you to search and purchase.

Another object of the present invention is to provide an electronic commerce method that can be used as a reasonable offer price when purchasing a product by calculating the price that the buyer can satisfy by applying this value of the individual product of the buyer to the selling price.

Other objects and features of the present invention will become more apparent through the preferred embodiments described below.

1 is a network diagram of an electronic commerce system applied to the present invention.

2 is a system block diagram showing a configuration of an operation server of the present invention.

3 is a flowchart schematically illustrating the e-commerce method of the present invention.

4 is a flowchart showing the basic data processing step of FIG.

FIG. 5 is a flowchart showing the first product search processing step of FIG. 3.

FIG. 6 is a flowchart showing a product satisfaction level calculation process of FIG. 3.

7 is a flowchart showing the final product search processing step of FIG.

FIG. 8 is a flowchart illustrating a purchase approval processing step of FIG. 3.

9 is a flowchart illustrating a method of reusing purchase history information of the present invention.

10 is an example of an initial screen displayed on a display device of a seller or a buyer.

Figure 11A is a product information registration application entered by the seller in accordance with an embodiment of the present invention.

FIG. 11B illustrates an embodiment of inputting a minimum selling price according to the product satisfaction level of FIG. 11A.

12A is a basic purchase condition input sheet of a buyer according to an embodiment of the present invention.

12B is an example of product information provided when the detailed search button of the basic purchase condition input sheet of FIG. 12A is clicked.

12C is a detailed purchase condition input sheet of a buyer according to an embodiment of the present invention.

13 is a classification table of various purchase conditions associated with a product selection criterion item and a comparative advantage item of a 'shirt' product according to one embodiment of the present invention.

FIG. 14A illustrates a submenu when a search item is selected in FIG. 10.

14B illustrates an example of a search result displayed on a screen when a single purchase condition is input in FIG. 10.

15A is a comparative specification showing search results based on product satisfaction level according to an embodiment of the present invention.

15B is a comparative specification table showing search results by rearranging the comparison specification table of FIG. 15A according to a purchase condition priority according to an embodiment of the present invention.

16 is a screen in which an initial value for the product information is described in various purchase condition input sheets when a product icon is clicked according to an embodiment of the present invention.

FIG. 17 illustrates a submenu displayed when a purchase history inquiry item is selected in FIG. 10.

First, the concept of the present invention will be described.

The valuation of a commodity is represented by the price of the commodity, which is explained as follows. A commodity is a product produced or manufactured by satisfying the buyer's purchase conditions one by one, and the commodity price is a price that satisfies all the buyer's purchase conditions for the product. If this is described by Equation 1 as follows.

Ps = P1 + P2 + ...

n

= ∑ Pk

k = 1

Ps: Sale price of the goods

Pk: The price of the price that satisfies one buyer's purchase conditions related to the product.

That is, the selling price (Ps) of a product can be expressed as the sum of the prices (Pk) for the price of satisfying one buyer's purchase condition related to the product. There is a very close relationship between the various purchase conditions.

Therefore, the present invention shows the correlation between the entity of the product and the various purchase conditions of the buyer as a single integrated value, which is the same as indicating the degree of satisfaction of the buyer with respect to the individual product. To do this, a standardized and unified input format is required to process various data of sellers and buyers, and an operator who provides and manages them.

The operator has standardized and unified input forms for the criteria items for factors that can be the buyer's purchase conditions for the nature of the goods, such as the individual characteristics or attributes of all products that can be sold, and for the content of the details of each item. Create a purchase condition database, and provide the seller with a product information registration application created by extracting items that can be the buyer's purchase conditions related to the product that the seller intends to sell. In addition, a product information database is constructed for the contents input through the product information registration application. Each reference item is a field name of the product information database, and the details of these items are composed of the actual product information. In this way, the seller does not input the product information arbitrarily, but the seller inputs the contents suitable for the characteristics of the product that the seller wants to sell from the sample data matched with the input format suggested by the operator.

Then, the operator provides the buyer with an input sheet which is made by extracting the purchase condition related to the desired product name from the purchase condition database, so that the user can input contents suitable for their own purchase condition. In this way, the purchase conditions presented by the buyer at the time of product search can be compared with the fields in the product information database, so that calculations can be performed to obtain the value of the Product Satisfaction Index (PSI). Compare the contents with the contents of the product information, and present the result to the buyer as a product satisfaction level.

Therefore, product satisfaction is a general indicator that can represent a product for a buyer's purchase condition. Therefore, unlike the method of searching for the product group searched by several purchase conditions, such as price conditions, with various purchase conditions in mind, The product can be easily searched only by the numerical value, so that the desired product can be found most conveniently, quickly and accurately.

On the other hand, the selling price may be satisfactory from the seller's point of view, but since the purchase conditions are different from the individual buyer's point of view, the degree of satisfaction with the selling price of the product also varies from buyer to buyer. Therefore, it is necessary to know how each individual buyer perceives the seller's product to sell and from which point the purchase price is determined to be appropriate and satisfactory.

Therefore, in the present invention, the buyer can satisfy the price, that is, the purchase satisfaction price

(PSP; Products Satisfaction Price) provides a way to calculate the product satisfaction level of a buyer's individual product by multiplying the selling price to calculate the purchase satisfaction price. Since the purchase satisfaction price is determined by the buyer and seller, there is no dissatisfaction between them and it is reasonable, so it can be used as the purchase offer price in all e-commerce.

If the product satisfaction is calculated from the product satisfaction level and applied to the selling price, it is a discount price that discounts the dissatisfaction level of the product from the price. Promotion and Site Administrator can increase revenue.

In particular, the present invention introduces a selling allowance price, the seller can always operate this price flexibly, so that the buyer can easily cope with the purchase satisfaction price, and completely solved from the burden of price competition with other products, It is possible to prevent the seller from violating the commerce of the buyer's low winning price.

In addition, since this system is directly connected from product information search to product purchase, it is possible to prevent buyers from leaving the site on the Internet, and the seller can adjust the minimum selling price according to the product satisfaction level so that the potential buyer Can always be linked to a purchase. In addition, the buyer's various purchase conditions are applied to the seller's products, so that the producers, manufacturers, distributors and companies seeking to pursue new businesses can provide the most accurate and available statistics and information for the real economy. You can earn a variety of profits.

Hereinafter, an embodiment of the present invention will be described in detail with reference to the accompanying drawings. Seller's products to be applied to the present invention includes all the items (hereinafter referred to as "goods") that can be commerce on the Internet, such as natural products, products, services, ideas, information, and various rights (gift certificates, advance tickets, securities, bonds, etc.) Include them.

1 illustrates a network configuration of an electronic commerce system to which the present invention is applied.

As shown, the purchaser client 100 and the seller client 300 may access the operation server 400 via the Internet 200, respectively.

The purchaser client 100, the seller client 300, and the operation server 400 may be a computer system or other wired or wireless terminal device, and have an appropriate web browser.

2 is a system block diagram showing a configuration of an operation server of the present invention.

As described above, item information of the purchase condition input sheet provided to the buyer and detailed information related to each item are stored in the purchase condition database 468 for each product. The product information input module 415 extracts items from the purchase condition database 468 that may be a buyer's purchase condition related to the product to be sold by the seller, creates a product information registration application, and provides the seller with product information. The product information database 466 is stored.

The purchase condition input module 425 provides the purchaser with a purchase condition input sheet related to the first searched product to receive the basic purchase condition and the detailed purchase condition.

In addition, the member management module 430 receives the personal information from each of the buyer and the seller to store and manage in the buyer member information database 462 and seller member information database 464, respectively.

The product satisfaction calculation module 420 calculates the product satisfaction level of the individual product by comparing the contents between the product information input and stored by the seller and the purchase condition input by the buyer.

The purchase satisfaction price calculation module 440 calculates the purchase satisfaction price from the calculated product satisfaction level.

In addition, the search module 450 performs a first search by inputting a product name and a price condition, and performs a second search based on various purchase conditions, a third search based on product satisfaction, and a final search based on a purchase condition priority, respectively. do.

The purchase approval module 460 confirms whether the purchase satisfaction price of the product selected by the buyer is included in the seller's allowable price by the final search, displays the purchase approval result on the screen, and displays the purchase history. Stored in the database 470.

The control module 410 controls the data flow between each module and data storage and output to various databases.

3 is a flowchart illustrating an e-commerce method according to the present invention.

Referring to FIG. 3, in the basic data processing step S100, member information related to a buyer and a seller is received and stored in the seller and the buyer member information database. In addition, the product information is received from the seller and stored in the product information database.

In the first product search step (S200) receives a product name and price conditions of the product to be purchased and performs a search to show to the buyer.

In addition, in the product satisfaction calculation step (S300), the product satisfaction level of the individual product is calculated by comparing the information between the product information input by the seller and the various purchase conditions input by the buyer for the first searched product, and based on the purchase satisfaction Calculate the price.

In the final product search step (S400), a final search is performed by inputting a product satisfaction value, or preferably, a final search is added based on a priority of a purchase condition, or an auxiliary feature or attribute of the entire search product group is simultaneously supported by a single purchase condition. Compare and finally perform a product search.

Further, in the purchase approval processing step (S500), the purchase approval is made by comparing the purchase satisfaction price with the minimum selling allowance price of the seller according to the product satisfaction level as the purchase offer price when the product is finally searched.

Each of these steps will be described in more detail below.

4 is a flowchart for explaining basic data processing steps.

First, the operator should standardize and unify the standard items for the factors that can be the buyer's purchase conditions for the nature of the goods, such as the individual characteristics or attributes of all products that can be sold, and the details of the details of each item. An input form is created to build a purchase condition database 468 (step S110).

In addition, the seller provides a product information registration application, which is made by extracting items that may be a purchase condition of the buyer related to the product to be sold by the seller (step S120).

When the seller accesses the operation server and inputs the seller ID (ID) and password, the member management module of the operation server passes the member information to the control module to determine whether the member is a member from the member information stored in the seller member information database. If you are a non-member, you will be prompted to sign up for membership.

The seller membership database may include, for example, seller ID, company name, business number, representative name, representative social security number, internet site name, e-mail address, phone number, address, country of origin, country name, and business type (e.g., Large companies, SMEs, venture companies, individuals, etc.), capital, the number of employees, the year of establishment, sales products and registration date may be provided as a field.

If confirmed as a member, the seller inputs various product information to be sold (step S130). The operation server provides the seller with the product information registration application form as shown in FIG. 11A online to receive the product information, and the entered information is the product information database.

470 is stored. As will be described later, since the field of the product information database is configured to correspond to the various purchase conditions of the buyer, it is possible to compare with the purchase conditions of the buyer, thereby obtaining product satisfaction.

Each field of the product information database consists of various details, which are in the form of proper nouns, common nouns, and numbers appropriate to the characteristics of each field. For example, for the "material of the product" which is a field that can be objectively judged, "natural fiber (cotton, wool, leather, etc.)", "chemical fiber (nylon, synthetic resin, etc.)", and "mixed fiber" In the form of proper nouns or common nouns, verbal nouns such as "good", "normal", "bad" or "good" for "elasticity of goods", a field that can only be judged forward-looking, abstract or subjective. , Common nouns such as "normal", "bad", or verb type nouns, common nouns, and numbers that represent degrees, values, states, and predictions, such as numbers representing "3", "2", "1", etc. Can be entered in the form.

On the other hand, when the buyer accesses the operation server and enters the seller ID (ID) and password, the member management module of the operation server passes the member information to the control module to determine whether the member is a registered member from the member information stored in the buyer member information database. If you are a non-member, you will be prompted to sign up for membership.

The fields in the Buyer Membership Database include Buyer ID, Name, Social Security Number, Gender, Age, Date of Birth, Marriage, Address, Phone Number, Mobile Phone Number, E-mail Address, Education, Hobbies, Specialty, Occupation and Registration Date. Equipped. If you are confirmed as a member, you can receive product information search and e-commerce services.

5 is a flowchart for explaining a primary product search processing step.

First, the operation server receives a member ID and password from the connected buyer and checks whether or not the registered member (step S210).

The keywords entered for the primary product search are the product name and price condition to be purchased. If both of them are known, a search is performed by simultaneously inputting a brand name and a price condition (step S220). As an input method, the buyer may directly select a product name and a price condition, or a method of indirectly selecting a product icon in which the product name and price condition are described.

If the price condition is not known, entering a product name (step S230) displays the minimum price and the maximum price set for the product, and the buyer selects one of these or directly enters the price condition (step S235).

If the brand name is not known, if a price condition is input (step S240), a brand name corresponding to the price condition is displayed, and the buyer selects one of them (step S245).

In this manner, when a brand name and a price condition for the first product search are input, corresponding product information is extracted and displayed from the product information database (step S250).

6 is a flowchart showing a product satisfaction calculation process according to the present invention.

First, the basic purchase condition for the first searched product is input (step S310).

Purchasing conditions are divided into basic purchasing conditions and detailed purchasing conditions. Basic purchasing conditions are composed of basic factors such as conditions directly related to the buyer, such as appearance (physical condition), age, gender, marital status, occupation, and use. Purchasing conditions are conditions that are directly related to the attributes or characteristics of goods, and conditions relating to producers, manufacturers, distributors, etc., and consist of quality, function, design, color, type of goods, delivery conditions, and payment conditions. The entire items of the purchase condition are stored as fields in the purchase condition database. When a product to be purchased is selected by the first search, the corresponding items are extracted from the purchase condition database, and the buyer is in the form of an input sheet shown in FIG. 12A. Is provided to.

As such, when the input is completed, a product search is performed based on the basic purchase condition (step S315), and the products selected according to the search result are displayed on the screen (step S320).

Subsequently, it is determined whether to proceed with the product search based on the product satisfaction level (step S325), and when the product search is performed, product information according to the basic purchase condition is provided (step S330).

The contents of the product information are the conditions of sale that are directly related to the products, new products, products or properties that are sold well, and the conditions of purchase related to producers, manufacturers, distributors, etc. It consists of part of contents such as condition.

The buyer inputs the detailed purchase condition with reference to this (step S335). For example, if a buyer wants information on a product that sells well among the basic purchase conditions, statistics on such contents are generated from a purchase history database, and details of various purchase condition items are entered in the detailed purchase condition input sheet as shown in FIG. 12C. Is checked and displayed. Of course, the buyer can modify the details of the item for each purchase condition if there is something that does not suit their own purchase.

Subsequently, a product satisfaction level (PSI) of the first searched products is calculated based on the input purchase conditions (step S340).

The product satisfaction calculation of the primary search product based on various purchase conditions is obtained by identifying the number of factors that are common among the factors related to the purchase condition of the buyer and the nature of the product and displaying them as a numerical value. Product satisfaction is calculated by comparing the information database and the contents of the purchase condition input sheet entered by the buyer. There are two ways to calculate the product satisfaction level: ratio method and weighting method. The figure of product satisfaction obtained by this method is written together when displaying the searched item on the output screen, which is very useful for the search of the product because the buyer can judge everything about the individual product with only one result number. Used.

The following describes the types of calculation methods for obtaining product satisfaction.

1. Ratio method

The percentage of the number of purchase condition items that match the product information database field for the total purchase condition of the purchaser for the individual product may be expressed by Equation 2.

Is = (Nc / Nt) × 100

Is: Product Satisfaction

Nc: the number of purchase condition items that match the product information database fields

Nt: Buyer's total items

2. Weighting Method

The seller will produce and sell the product with a comparative advantage over the other company's products for some items that may be the buyer's purchase conditions for the product he wants to sell. There are a few things to consider. It calculates product satisfaction by giving weights to items that meet both of these conditions, and calculates it by reflecting both the seller's and buyer's will at the same time. This means that if the contents of the "comparative advantage item" of the seller's product information database field and the "commodity selection criteria" item of the buyer's purchase condition item match, the purchase condition item corresponding to the "comparative advantage item" The ratio method is applied by giving several times the weight. This can be represented by equation (3).

Is = {(xNcs + Nct) / (xNs + (Nt-Ns)} × 100

Is: Product Satisfaction

Ncs: The number of purchase condition items whose contents match between the contents of "comparative advantage item" in the product information database and the purchase condition items related to the "product selection criteria" item among the purchase condition items.

Nct: The number of purchase condition items whose contents do not match between the contents of "comparative advantage item" of the product information database and the purchase condition items related to the "product selection criteria" item among the purchase condition items.

Ns: Number of purchase condition items related to "Product selection criteria" item among "Comparative advantage item" and purchase condition item in product information database

Nt: Buyer's total items

x: The weight given to each item whose contents match between the "comparative advantage item" in the product information database and the purchase condition item related to the "product selection criteria" item among the purchase condition items.

On the other hand, unlike the product satisfaction level, there is a product satisfaction level (Iu), which indicates how much the individual product that the seller wants to sell does not satisfy all of their purchase conditions for the product that the buyer wants to search. It is the ratio of the number of items (Nu) in which the details of the details do not match between the product information database field and the purchase condition items for the number Nt. In addition, this is expressed as the total value of the product that the seller wants to search for when the individual product that the seller wants to sell satisfies everything, that is, the product satisfaction satisfaction (Is) minus the maximum product satisfaction level of 100. May be represented as in Equation 4.

Iu = (Nu / Nt) × 100 = 100-Is

Iu: product dissatisfaction

Nu: The number of items whose details do not match between the product information database field and the purchase condition item.

Nt: Buyer's total items

Is: Product Satisfaction

When the product satisfaction level is calculated in this way, the purchase satisfaction price based on the calculated product satisfaction level is calculated (step S345).

Product Satisfaction is an overall index that can represent the buyer and the product. Therefore, if the product satisfaction is applied to the seller's selling price, it is a price satisfactory for the seller's product. Therefore, this is the purchase satisfaction price of the buyer and can be used as the offer price for e-commerce. The method of obtaining the purchase satisfaction price includes a method based on a product satisfaction level and a method based on a product satisfaction level.

1. Method based on product satisfaction

Purchasing satisfaction price (Psp) refers to the price by multiplying the selling price (Ps) of the individual product by the buyer's product satisfaction (Is) for the product, which can be represented by the equation (5).

Psp = Ps × Is

Psp: Purchase Satisfaction Price

Ps: selling price of individual products

Is: Product Satisfaction

2. Method based on product dissatisfaction

The purchase satisfaction price (Psp) based on the product satisfaction level (Iu) is a price obtained by subtracting the buyer's product satisfaction level (Iu) from the selling price (Ps) of the individual product by the discount price (Pr). The formula for obtaining this can be represented by Equation 6.

Psp = Ps-Pr = Ps-{Ps × (100-Is)} / 100 = Ps-(Ps × Iu) / 100

Psp: Purchase Satisfaction Price

Ps: selling price of individual products

Pr: Discount Price

Is: Product Satisfaction

Iu: product dissatisfaction

After calculating the product satisfaction level and the purchase satisfaction price in this way, a product search is made (step S350), and a detailed specification table is prepared (step S355). In other words, for the first search product, a detailed specification table including information on various main items such as product satisfaction level and purchase satisfaction price along with information on these individual products is prepared and provided to the buyer to compare and review the information on the search results. To make it possible. The comparative specification table is displayed in order of the product satisfaction level, including the product model name, company name, product satisfaction level, purchase satisfaction price, product dissatisfaction level, sales price, and product dissatisfaction factor. The product dissatisfaction factor consists of items that do not match between the items in the buyer's purchase condition input sheet and the product information database, and indicates that the buyer can refer to them in the product search or purchase.

Referring to FIG. 7, a process of performing a final product search is illustrated.

First, when the calculated product satisfaction level value is input (step S410), the products belonging to the above range are reordered and displayed based on the product satisfaction level value input for the primary searched product group (step S420).

Subsequently, it is determined whether to perform the final product search based on the priority of the purchase condition (step S430). On the other hand, if it is desired to perform the product search again by entering the purchase condition priority (step S440) (step S450), the final searched result is displayed (step S460). That is, no matter how high the product satisfaction level is for the searched products based on the product satisfaction value, if the buyer does not match some of the items of purchase condition that the buyer considers important, the product may not be the product the buyer wants. The final product search can be performed based on the priorities of the various pre-purchased items.

In addition, when a single purchase condition is inputted auxiliaryly, details of the purchase condition items corresponding to the entire product group are extracted from the product information database, and the contents thereof are displayed on the screen. In this case, the final product may be retrieved (step S470). .

8 is a flowchart showing a purchase approval processing step.

When the buyer selects a product to purchase (step S510), it is determined whether the purchase satisfaction price of the selected product is within the selling allowable price range of the seller's product information database (step S520), and when the purchase satisfaction price is within the selling allowable price range, After confirming the order history (step S550) and notifying the seller to deliver the product (step S560), the purchase history is stored in the purchase history database (step S570).

If the purchase satisfaction price is not included in the selling allowable price range, the lowest selling allowance price according to the product satisfaction level is presented from the product information database (step S530), and the purchaser again determines whether to make a purchase decision (step S540). As a result, the minimum selling price based on the purchase satisfaction price and the product satisfaction level is the bargaining price between the buyer and the seller. Thus, if the lowest allowable price according to product satisfaction is used well, it can directly connect potential buyers to purchase, which is an important means of price policy.

9 is a flowchart illustrating a method of reusing purchase history information.

When the purchaser membership is confirmed (step S610), the purchase history previously stored from the purchase history information database is retrieved (step S620) and the purchased product details and the product details to be purchased are selected. (Step S630), various purchase condition input sheets are provided (step S640). At this time, if the various purchase conditions are corrected (step S650), the product satisfaction level (PSI) based on the various modified purchase conditions is calculated (step S660), the purchase satisfaction price (PSP) is calculated (step S670), and then the product search is performed. The comparison specification table is rewritten and output to the screen (step S690). When information about a product that is not currently purchased, such as a temporary storage box (shopping cart), or a purchase approval has been made for a potential product to be purchased or if a purchase approval has been made, the information is stored in a purchase history database so that future purchases of the product and repurchase of the purchased product can be made. You can reuse this information.

Hereinafter, an embodiment of the present invention will be described with reference to FIGS. 10 to 17.

10 is an example of an initial screen displayed on a display device of a seller or a buyer.

The initial screen includes an input item 10, a search item 20, and a purchase history inquiry item 30. The input item 10 includes a member information input button 12, a product information input button 14, and a purchase condition. The button 16 is assigned, and the search item 20 is assigned a search button 22 based on product satisfaction, a search button 24 based on a purchase condition priority, and a search button 26 based on a single purchase condition. In addition, the purchase history inquiry item 30 is assigned to the purchased product history inquiry button 32 and the product history inquiry button 34 to be purchased.

If the member information input button 12 is selected, membership of the buyer or seller may be performed or membership may be checked.

When the product information input button 14 is selected, as shown in FIG. 11A, a product information registration application is displayed, and the product information registration application is a sale price, an allowable price according to product satisfaction, and items that can be various purchase conditions. Consists of.

The "permissible selling price according to the product satisfaction level" determines whether or not the purchase approval is made when the buyer presents the purchase satisfaction price. The "permissible selling price according to product satisfaction" is provided in the form of Figure 11B. When the seller enters the appropriate discount rate according to the seller's pricing policy in the "discount rate" field, the "lowest selling allowance price" is calculated. It is easy to connect buyers to purchases.

In addition, in the embodiment of the present invention, the "set configuration" is a shirt / shirt, a shirt / pants, a shirt / cardigan, and a shirt / tie. have. Buyers can search for pants, cardigans and ties simultaneously based on this shirt.

On the other hand, the "comparative advantage item" is an item for calculating the product satisfaction level by the weighting method and is used to calculate the product satisfaction level by assigning a weight to the purchase condition item associated with the item compared to the "product selection criteria" item of the buyer.

In this manner, when the registration button is pressed after entering the product information as shown in FIG. 11A, the items of these contents and the details of the details thereof are stored in the operator's product information database. If you press the Modify button to enter the updated product information and enter the seller ID, product name, and model name, the previously entered data is displayed. Cancel button is used to cancel the product information.

11A is an embodiment of the present invention in which the seller ID is kmix, which is suitable between 18 and 50 years old, and enters the product information of the "product model name" C5896 of the male shirt having a "sale price" of $ 53,000. This product has a comparative advantage in "quality".

When the purchase condition input button 16 is clicked on, as shown in Fig. 12A, a basic purchase condition input sheet is provided, and when the purchaser enters a brand name, basic purchase condition items related to the product appear in the input sheet. Here, the buyer enters their purchase conditions and then presses the general search button to perform the search.

On the other hand, when a buyer presses a detailed search button to obtain a product satisfaction level or a purchase satisfaction price, the detailed purchase condition input sheet of FIG. 12C is provided, and when the input is completed, the product search result is displayed while the product satisfaction level and the purchase satisfaction price are calculated.

With reference to FIG. 12C, the item "Configuration of Set" is activated when a set is desired in the basic purchase condition input sheet of FIG. 12A, but is deactivated when a set is not desired. On the other hand, as shown in Fig. 12B for the various purchase conditions of the basic purchase condition input sheet, product information suitable for this is provided. If a product search is desired by these purchase conditions, some items of the detailed purchase condition are applied according to the contents of the product information. If you don't want to, you can select the item in the detailed purchase condition entry sheet according to your purchase preference.

In the detailed purchase condition input sheet of FIG. 12C, "color" is beige among four colors, "brightness" is light, "saturation" is light, "pattern" is none of the contents in the product information of FIG. "Shape of neck" is entered in a V shape. This makes it easy to select a product in case the buyer does not know how to input the information about the product that he wants to purchase, and has the effect of reducing the time required to enter various purchase conditions.

After entering the detailed purchase conditions, if you press the OK button, the product satisfaction level and the purchase satisfaction price are calculated and the product search is performed. To modify the input contents, press the modify button, and to cancel the input contents, press the cancel button.

In one embodiment of the present invention, a person whose purchaser ID is kkkk enters his purchase condition to search for a men's shirt having a price range of 40,000 won to 60,000 won. The contents of the basic and detailed purchase condition input sheets of FIGS. 12A and 12C are mostly in the same format as the product information registration application of FIG. 11A.

11A, 12A, and 12C, when selecting details for each item in the application form and the basic and detailed purchase condition input sheets of the information sheet, a radio button for selecting one by pressing button (◎) as an input method If you select two or more input methods at the same time, enter the check input method with a check mark, and if you enter a purchase condition that requires weight or order, specify the number in the details and the seller or buyer should find the appropriate information. There is a number input method that selects the corresponding numbers and displays these numbers.

After the input, the product information system extracts products that meet the first search condition, name and price condition, and calculates product satisfaction and purchase satisfaction price of these product groups. In particular, the buyer kkkk selected the item "quality" in the "product selection criteria" item. Purchasing conditions related to "quality" are "price", "origin", "material", "wrinkling prevention" and "sweat absorption" as shown in the classification table of various purchase conditions related to the product selection criteria item of FIG. "I can see that. Here, the items "price", "origin", "wrinkling prevention" and "sweat absorption" are "price", "origin" with the "comparative advantage item" of the seller's product information registration application of FIG. 11A equal to "quality". , "Wrinkling" and "sweat absorption" items can be seen that the same, "commodity material" is a blend and cotton can be seen that the purchase conditions are different. The operator prepares this classification table for all products as in the example of FIG. 13 when constructing the purchase condition database and applies it when calculating the product satisfaction by weight.

According to the present invention, if the product model name C5896 satisfies the purchase condition of the buyer, the product satisfaction is calculated using the weighting method of Equation 3 as follows.

At the satisfaction level Is = {(xNcs + Nct) / (xNs + (Nt-Ns)} × 100 in Equation 3, the total number of items (Nt) of the buyer's purchase condition is "product user" and " There are 32 items except two items, and whether or not the "product user" is a person or another person is not important in obtaining product satisfaction, and the "product selection criteria" item is used to apply weights. The numbers exclude these two.

The number of purchase condition items (Ns) related to the "comparative advantage item" of the product information database and the "product selection criteria" item of the purchase condition is "price", "origin", "material", "wrinkling prevention" and " Sweat absorption ". The number (Ncs) of purchase condition items whose contents match between the "comparative advantage item" of the product information database and the purchase condition item related to the "product selection criteria" item among the purchase condition items is "price", "origin", " There are four types of anti-wrinkling and sweat absorption, and the number of purchase condition items that do not match among the purchase condition items related to the "comparative advantage item" of the product information database and the "product selection criteria" item of the purchase condition (Nct ) Is 26 kinds except "pocket existence". Meanwhile, the weight (x) given to each item whose contents match between the "comparative advantage item" of the product information database and the purchase condition item related to the "product selection criteria" item among the purchase condition items is twice that of the general item. We will apply weights. This is determined by the operator, which facilitates the product search by increasing the weight of the product having similar characteristics, attributes, or purchase conditions, thereby increasing the variation in product satisfaction.

Therefore, if we find product satisfaction by weighting method, Is = {(xNcs + Nct) / (xNs + (Nt-Ns)} × 100, Is = {(2 × 4) + 26} / {(2 × 5) + ( 32-5)} × 100 ≒ 91.9 (%) Therefore, the product model name C5896 becomes a product which satisfies the purchase condition of the buyer kkkk at about 91.9%.

On the other hand, if the product dissatisfaction is obtained using Equation 4, Iu = (Nu / Nt) × 100 = 100-Is = 100-91.9 때문에 because it is expressed as the remaining product minus the product satisfaction (Is). It becomes 8.1 (%). About 8.1% is a product that does not satisfy the buyer's purchase conditions.

In order to calculate the purchase satisfaction price, the product satisfaction method of Equation 5 is applied, and the purchase price of the individual product (Ps) is 53,000 won and the product satisfaction (Is) is 91.9 at the purchase satisfaction price Psp = Ps × Is. Since it is%, it becomes Psp = 53,000 won x 91.9% of 48,700 (won). In addition, when calculating the purchase satisfaction price based on product dissatisfaction, the discount price (Pr) is the selling price (Ps) of KRW 53,000 multiplied by 8.1% of product dissatisfaction (Iu), so Pr = Ps × Iu / 100 = 53,000 × 8.1% ≒ 4,300 (won). Therefore, the purchase satisfaction price is a price at which the seller discounts the buyer's dissatisfaction with the product from the selling price, so that Psp = Ps-Pr = 53,000-4,300 = 48,700 (Won).

When the first product search is completed and the product satisfaction level and the purchase satisfaction price are determined, the final product search is performed in the search item.

When the search button 22 based on the product satisfaction level is clicked, as shown in FIG. 14A, a message for inputting a numerical value in the numerical input field 23 of the product satisfaction level appears. Here, if a buyer enters a numerical value of a product satisfaction level that they want to search and clicks a search button, the products included in the product satisfaction range above the value are sorted and displayed. If necessary, the buyer can change and retrieve the product satisfaction level at any time.

In addition, if the user clicks the search button 24 based on the purchase condition priority, the item of the purchase condition input sheet created by the buyer entering the purchase condition and the details 241 selected for the item are displayed. An input field 242 is displayed for determining and entering priorities for these. Buyers simply drag and drop items in order of priority. Alternatively, a serial number may be attached to an item of a purchase condition input sheet and the corresponding numbers of items according to priorities may be sequentially entered in the input field 242. In FIG. 14A, the purchaser kkkk determines the priority of the purchase condition and inputs the purchased condition. In the embodiment of the present invention, up to five items may be inserted, but may be adjusted according to the type or characteristic of the product and the environment of the operator. Once you have entered this, you can reorder them in order to find exactly what you want.

Clicking the search button 26 by a single purchase condition displays the items in the purchase condition entry sheet created by the buyer entering the purchase condition and the contents of the selected item 241 for that item, and selecting one of these items. The details of the corresponding purchase condition items are extracted from the entire search product group and the contents are simultaneously displayed on the screen. For example, if the item "product material (side)" is selected in FIG. 14A, contents 83 related to the product material of each product are displayed on the screen as shown in FIG. 14B. This allows buyers to compare products according to their purchase conditions. As another example, in this system, not only the product search based on the product satisfaction level or the purchase condition priority, but also the product dissatisfaction level, the selling price, etc. can be searched in various ways. On the other hand, since the operator processes the product information according to the various purchase conditions of the buyer, it is possible to provide the seller with various marketing-related information such as gender, age group, and purchasing tendency of individual products from time to time.

Referring to FIG. 10, a trade name entered by a buyer in a purchase condition is displayed in the trade name item 40, and a minimum price condition and a maximum price condition entered in the purchase condition are displayed in the price item 50.

The view item 70 has a picture view button 72 and a comparison specification view item 74. This is used when the buyer selects whether to view the searched result as a screen composed of a product photograph and a product satisfaction level or a comparative specification screen. In an embodiment, when the picture view button 72 is clicked, the product image or video 82 is displayed on the tiled screen 80, and the product satisfaction level (PSI) and the purchase satisfaction price (PSP) 84 are also displayed. Is displayed. In FIG. 10, nine screens from D1 to D9 are provided, but the number of screens can be adjusted as much as the environment of the operator. Thus, the tiled screen has the advantage that the buyer can compare the searched product group with the product satisfaction at the same time, the target product can be easily found by looking in the order of high product satisfaction. And the tiling can produce a variety of effects, it can be interesting to the buyer by operating a variety of games using the product screen, paying prizes, etc. can increase the sales effect. Under the tiled screen, there is a previous page move arrow 86 and a next page move arrow 88 to facilitate page movement.

In addition, when the comparison table view button 74 is clicked, as shown in FIG. 15A, the search result is displayed on the basis of the product satisfaction level, and the tiled screen disappears, and when the picture view button 72 is clicked again, the tiled view is displayed. Appears. Even if a product has high product satisfaction, it may not meet the purchase conditions considered by the buyer himself. In this case, when comparing the unsatisfaction factors of the product with high product satisfaction in advance, it can be used to determine the priority of the item. The target product can be found more accurately.

For example, the product search result of the buyer kkkk is shown as the comparative specification table of FIG. 15A. In FIG. 14A, only the products having a value of 70% or more of the product satisfaction level entered by the buyer are displayed, and the product satisfaction of the product model name A3589 is 93.7%, which is the highest. appear. However, as an exemplary embodiment of the present invention, as shown in FIG. 14A, the buyer kkkk has a high brand awareness as the first priority among the various purchase condition items, the second as the production type, and the latest production year as the third priority. Priority was input in the input field 242, such as no pattern in the fourth rank, wrinkles in the fifth rank, and the like. The product model A3589 does not correspond to the brand awareness that buyer kkkk considers to be the number one, so it cannot be said that he has found the desired product completely. Rather, as shown in the comparison table sorted by the purchase condition priority of FIG. 15B, the C5896 product having a product satisfaction of 91.9% is the most suitable product for the buyer kkkk. Therefore, by using the product dissatisfaction factors and the priority of purchase conditions in the comparison specification table, the target product can be found most accurately. Of course, when making a purchase decision, his purchase conditions are always changed, so the product model name A3589 can be a good product for buyer kkkk.

After the product information search is completed, an e-commerce is performed. When the buyer moves the cursor to the screen of the product to be purchased among these search products and presses the purchase button 60, the purchase approval module selects the purchase satisfaction price of the selected product. It checks whether it is within the allowable price range and immediately displays the purchase approval result.

For example, when a buyer kkkk wants to purchase a C5896 product with a 91.9% satisfaction level, the purchase satisfaction price of this product is 48,700 won, and the suggested offer price is between 50,615 and 53,000 won. Because it is included, this product is not automatically allowed to purchase for 48,700 won. Nevertheless, if the buyer wants to purchase this product, as shown in Fig. 11B, since the product satisfaction level is 91.9%, the sales price of 50,615 won (minimum selling price at the product satisfaction level 91-95), which is 4.5% discount, is presented from the product information database. At this time, if the buyer thinks it is a reasonable price, he can make a purchase. Therefore, the buyer's suggested offer price of 48,700 won and the seller's final offer price of 50,615 won are bargaining prices. When the purchaser makes a purchase decision of 50,615 won, the goods are taken over by the buyer according to the purchase procedure, and the seller is ordered to deliver the goods.

16 illustrates a multiple search method according to the present invention.

When the set product 90 is composed of a shirt and a tie as shown in Fig. 16, if the first buyer likes the shirt and wants to select another tie, how much the second tie satisfies the buyer's own purchase conditions, i.e. If you want to know the product satisfaction level, you may want to search for another tie based on the tie, such as whether there is a better product than the tie.

However, conventionally, once a shirt is purchased, a tie must be searched again from the beginning. However, according to the present invention, a shirt can be searched for a tie without leaving a product as it is. In other words, when a shirt is selected and a brand name "94" is clicked, the contents of the original product information about the basic purchase condition and the detailed purchase condition for this tie, that is, the basic purchase condition input sheet to which an initial value is given, A detailed purchase entry sheet is provided. At this time, the purchaser selects and inputs an appropriate condition for items having no value for each purchase condition item. And after modifying and entering the items that fit your purchase condition, product satisfaction and purchase satisfaction price are calculated and other similar search products that meet this condition are shown. At this time, if you select the tie that suits your taste based on the shirt picture, do.

As such, the routine of selecting a shirt and selecting a tie matched to the shirt via the procedure described above can be easily implemented through multitasking.

This is possible because the product name and price range are classified separately and stored in the product information database when entering the set product information of the seller, and the product satisfaction level is provided as a numerical value so that only the products closest to the purchase conditions of the buyer are displayed. .

Referring to FIG. 17, when the product detail inquiry button 32 or the product detail inquiry button 34 to be purchased is clicked on the purchase history inquiry item 30 on the initial screen, a table 321 containing various information is shown. appear. The purchased product details inquiry button 32 is used when looking at the previously purchased product details and making a purchase again, and the product details inquiry button 34 to purchase was previously stored in a temporary storage box without making a purchase decision. It is used to recall the product details and to review and purchase the newly replaced information by the updated data. At this time, if one of the products to be displayed is selected, information related to them is displayed.

As described above, the present invention has various advantages.

First, buyers can search for product satisfaction by searching only one result, so that they can find the target product conveniently, quickly and accurately. Particularly, product satisfaction is the comparative advantage of the seller's product and the buyer's product. Since selection criteria items are simultaneously reflected in calculating the product satisfaction level, they become actual information.

In addition, by presenting the product dissatisfaction factors in the comparison specification table provided to the buyer, a more efficient product search is made, and the product can be re-searched based on various purchasing conditions for the search product group so that the target product can be accurately found.

In addition, it is easy to purchase a product because it searches for related products through multiple search.

Moreover, the purchase satisfaction can be obtained at the purchase satisfaction price based on the product satisfaction level, and the buyer can obtain the purchase satisfaction at the discount price by converting the product satisfaction level into the discount price.

In addition, the seller's satisfaction with the purchase price and the allowable price are voluntarily fluctuated so that the seller can completely escape the burden of price competition with other companies' products. You can connect directly to the purchase. In particular, it is easy to sell related products in addition to the products that the buyer wants to find because the buyer can search the products widely through the multi-search. In addition, since various purchase conditions of the buyer are applied to the product, it is easy to establish a marketing plan and reduce various costs. On the other hand, sales promotion occurs by compensating buyers' dissatisfaction with discount prices.

For the operator, the number of members can be increased by providing the buyer with a convenient search method, and the various advertising revenues can be increased and efficient marketing can be performed. In addition, since it is easy to sell related products through multiple searches, sales can be further increased. In addition, through product satisfaction and purchase satisfaction price, it is easy to connect with the product search and purchase, and real-time electronic commerce is made, so that the sales brokerage profit by sales promotion can be increased. And since buyers 'various purchase conditions are applied to sellers' products, they can provide the most accurate and available statistics and information to the producers, manufacturers, distributors, and companies seeking new business. You can earn a variety of profits.

Claims (11)

Receiving product information related to a product to be sold from a seller registered as a member and storing the product information in a product information database; First searching for a product to be purchased by the buyer by receiving a product name and a price condition from the purchaser registered as the member; Receiving various purchase conditions from the buyer with respect to the first searched product, performing a second product search and comparing the information between the product information entered by the seller and the various purchase conditions entered by the buyer Calculating a satisfaction level and calculating a purchase satisfaction price from the product satisfaction level; Receiving the product satisfaction value from the buyer and performing a third search for a product to be purchased from the second searched product; Finally searching for a product to be purchased from the third searched product according to the purchase condition priority determined by the buyer; And And approving a purchase satisfaction based on a comparison between the calculated purchase satisfaction price and the minimum selling allowance price of the seller according to the product satisfaction level. According to claim 1, If the seller enters a product name to enter product information for a specific product, item information and tax information related to the product from the purchase condition item information and tax information stored in the purchase condition database is a product information registration application Electronic commerce method applying the product satisfaction level provided to the seller in the form of. The purchase condition input sheet according to claim 1, wherein, when the purchaser inputs a purchase condition for the first searched product, item information and detail information related to the product are included in the purchase condition item information and the detail information stored in the purchase condition database. Electronic commerce method applying the product satisfaction provided to the buyer in the form of. The electronic commerce method according to claim 1, wherein the product satisfaction level is applied to a product satisfaction level obtained by the following equation. Is = (Nc / Nt) × 100 Is: Product Satisfaction Nc: the number of purchase condition items that match the product information database fields Nt: Buyer's total items The electronic commerce method according to claim 1, wherein the product satisfaction level is applied to a product satisfaction level obtained by the following equation. Is = {(xNcs + Nct) / (xNs + (Nt-Ns)} × 100 Is: Product Satisfaction Ncs: The number of purchase condition items whose contents match between the contents of "comparative advantage item" in the product information database and the purchase condition items related to the "product selection criteria" item among the purchase condition items. Nct: The number of purchase condition items whose contents do not match between the contents of "comparative advantage item" of the product information database and the purchase condition items related to the "product selection criteria" item among the purchase condition items. Ns: Number of purchase condition items related to "Product selection criteria" item among "Comparative advantage item" and purchase condition item in product information database Nt: Buyer's total items x: The weight given to each item whose contents match between the "comparative advantage item" in the product information database and the purchase condition item related to the "product selection criteria" item among the purchase condition items. The electronic commerce method according to claim 1, wherein the purchase satisfaction price is a product satisfaction level obtained by the following equation. Psp = Ps × Is Psp: Purchase Satisfaction Price Ps: selling price of individual products Is: Product Satisfaction The electronic commerce method according to claim 1, wherein the purchase satisfaction price is a product satisfaction level obtained by the following equation. Psp = Ps-Pr = Ps-{Ps × (100-Is)} / 100 = Ps-(Ps × Iu) / 100 Psp: Purchase Satisfaction Price Ps: selling price of individual products Pr: Discount Price Is: Product Satisfaction Iu: product dissatisfaction The electronic commerce method according to claim 1, wherein when a product to be purchased is searched for by the product satisfaction level or the purchase condition priority, a comparative specification table displaying information on the corresponding products is provided. The method of claim 1, wherein in the case of a set product in which another product is combined with the final searched product, a purchase condition input sheet for searching for the other product is provided by multitasking while maintaining the last searched product, A product satisfaction level and a purchase satisfaction price of the other product are calculated through input, and other similar search products suitable for this condition are presented, and an electronic commerce method applying a product satisfaction level of selecting one other product from the presented search products. The electronic commerce method according to claim 1, wherein basic setting information for some of the items in the detailed purchase condition input sheet is displayed after the first search and before the detailed purchase condition input sheet is provided. In an electronic commerce system in which a plurality of seller clients and buyer clients can access an e-commerce server through a network, the e-commerce server includes And a purchase condition database for storing item information and detailed information related to each item of the purchase condition input sheet provided to the buyer client for each product, and a product information database for receiving and storing product information from the seller client. , From the purchase condition database, an item that may be a purchaser client's purchase condition related to a product to be sold by the seller client is extracted, a product information registration application is made, provided to the seller client, and the product information is input to the product information database. A product information input module for storing; The purchase condition input sheet is provided to the purchaser client by referring to the item information of the purchase condition input sheet provided to the purchaser client stored in the purchase condition database and the detailed information related to each item to receive the basic purchase condition and the detailed purchase condition. Purchase condition input module; A product satisfaction calculation module for calculating a product satisfaction level of an individual product by comparing the contents between the product information input and stored by the seller client and the purchase condition input by the buyer client; A purchase satisfaction price calculation module for calculating a purchase satisfaction price from the calculated product satisfaction level; A search module for receiving a product name and a price condition from the buyer client to perform a first search, a second search based on various purchase conditions, a third search based on product satisfaction, and a final search based on a purchase condition priority; According to the final search, the purchaser checks whether the purchase satisfaction price of the product selected by the buyer client is within the range of the seller's allowable price, displays the result of the purchase approval, and stores the purchase history in the purchase history database. Approval module; And An electronic commerce system applying a product satisfaction level including a control module that controls data flow between modules and data storage and output to various databases.