KR20060020874A - Apparatus and method of same category company appraising with customer credit class - Google Patents

Abstract

The present invention discloses a peer seller system and method according to buyer credit rating.

The present invention, the seller server to collect and store the information of the buyer in accordance with the service or product to the buyer in order to evaluate the seller to the buyer to purchase the goods; An evaluation information server configured to perform a buyer evaluation questionnaire by assigning buyer information stored by the seller server and weights according to the credit rating of the buyer provided by the seller, and calculating and managing evaluation scores for each seller; And a guide server providing a seller guide service to the buyer by using a seller evaluation score calculated by the evaluation information server.

According to the present invention, by classifying the credit ratings of the buyer to perform the seller evaluation and assigning weights for each rating to perform a more accurate seller evaluation, by providing guidance information using the accurate seller evaluation information to provide the seller desired by the buyer In addition, according to seller evaluation, each seller can identify service problems and improve service quality.

Seller Rating, Credit Rating

Description

Apparatus and method of same category company appraising with customer credit class}

1 is a block diagram showing the structure of a homologous seller evaluation system according to the buyer credit rating according to an embodiment of the present invention.

2 is a block diagram showing a detailed structure of the seller server of FIG.

3 is a block diagram showing a detailed structure of the evaluation information server of FIG.

4 is a block diagram showing a detailed structure of the guide server of FIG.

5 is a flowchart illustrating a homologous seller evaluation method according to a buyer credit rating according to an exemplary embodiment of the present invention.

The present invention relates to a homogeneous seller evaluation system and method according to the buyer credit rating, in particular, to a homogeneous seller evaluation system and method according to the buyer credit rating to enable more accurate seller evaluation by reflecting the seller evaluation score according to the buyer credit rating It is about.

Homogeneous seller ratings are based on the evaluation scores of buyers who previously used the service when using service sectors such as moving sellers, couriers, flower delivery services, food delivery services, hospitals, and restaurants. It is used to select a seller who provides quality service.

As a method of selecting a service seller, an existing regular service seller, a surrounding evaluation, or a method of arbitrarily selecting a seller has been used.

In addition, when selecting a service seller through the Internet, there is a method to allow buyers who previously used the service to select the seller using data evaluated after receiving the service.

However, the buyer who evaluates the service through the Internet is evaluated by the buyer who has used a number of unspecified services, so it is often written falsely for the purpose of the point score provided by the service seller. There is a problem falling.

In order to solve the above problems, the present invention provides a system and method for evaluating homogeneous sellers according to the buyer credit rating, which enables a buyer to select a service seller with better quality of service to a buyer selecting a homologous seller using a reliable seller evaluation system. The purpose is to provide.

Homogeneous seller evaluation system according to the buyer credit rating according to one feature of the present invention,                     

In a system for performing a seller evaluation from a buyer who purchases a product,

Seller server for collecting and storing the information of the buyer in accordance with the service or product to the buyer; An evaluation information server configured to perform a buyer evaluation questionnaire by assigning buyer information stored by the seller server and weights according to the credit rating of the buyer provided by the seller, and calculating and managing evaluation scores for each seller; And a guide server for providing a seller guide service to the buyer using the seller evaluation score calculated by the evaluation information server.

At this time, the seller server, the Internet sales unit for performing a product sale through the Internet; A telephone sales unit that performs a product sale through a wired or wireless telephone; A store sales unit performing a product sale in an offline store; And a buyer DB (DataBase) for storing buyer information input by the internet sales unit, the telephone sales unit, and the store sales unit.

At this time, the buyer information, characterized in that it includes the ID, telephone number, email address, product purchase frequency, survey response frequency, buyer credit rating information given for each buyer.

And, the evaluation information server, the buyer information unit for storing the information and credit rating information of the buyer; A seller information unit which stores the seller information and the evaluation information; An evaluation questionnaire DB for storing a questionnaire and a questionnaire response for performing an evaluation survey of the seller stored in the seller information unit to the buyer stored in the buyer information unit and performing a questionnaire; And an evaluation questionnaire analysis unit for analyzing a questionnaire response content of the evaluation questionnaire DB, calculating a seller evaluation score, and updating a buyer credit rating according to the buyer's questionnaire response.

In this case, the evaluation questionnaire stored in the evaluation questionnaire DB, the seller can be determined by selecting the questionnaire item according to the industry.

In addition, the buyer information stored in the buyer information unit may be provided from the seller server.

In addition, the buyer credit rating is characterized in that it is updated according to the number of purchases and evaluation questionnaire response of the buyer.

The evaluation questionnaire analyzing unit may calculate a seller evaluation score by assigning a weight to a buyer's credit rating to the buyer's evaluation questionnaire response.

The evaluation questionnaire analysis unit compares the questionnaire response previously evaluated by the buyer with the current questionnaire, calculates an error rate, and updates the buyer by applying a credit rating that is differentially applied according to the error rate. Characterized in that.

The guide server may include a seller information unit that stores seller information and seller evaluation information; A guide unit for guiding seller information according to a buyer's request using seller information stored in the seller information unit; And a search unit that provides the seller information unit to the guide unit at the request of the buyer.

The guide unit may include an automatic response service (ARS) guide unit that provides seller information desired by the buyer through a wired or wireless telephone; An internet guide unit providing seller information desired by the buyer through an internet site; And a mobile guide unit providing seller information desired by the buyer through a wireless application protocol (WAP) environment of the wireless terminal.

The search unit may search for a seller type of business and an evaluation questionnaire score selected by the buyer, and provide seller information requested by the buyer to the guide unit.

Homogeneous seller evaluation method according to the buyer credit rating according to one feature of the present invention,

A method of performing a seller evaluation from a buyer who purchases a product,

(a) inputting information of a buyer who purchases a product: (b) calculating a buyer's credit rating based on the inputted buyer's information; (c) performing an evaluation questionnaire of the seller using the information of the buyer; And (d) calculating the evaluation questionnaire score by assigning a weight according to the buyer's credit rating.

At this time, in the step (b), calculating the credit rating of the buyer, characterized in that the calculation based on the number of purchases, payment information of the buyer.

In the step (c), the evaluation questionnaire is characterized in that the seller selects and sets an evaluation item for each industry type.

Then, the seller received a request for a seller guidance from the third buyer using the evaluation score calculated in step (c), performs a seller search according to the item and the type selected by the third buyer, the seller found to the third buyer Providing information further.

And, in the step (d), if the purchaser is already registered to perform the evaluation for the same seller in the past, calculating the error rate using the evaluation score for the same seller in the past and the current evaluation score; And applying the credit rating applied according to the error rate to the buyer, and updating the buyer's credit rating information.

In addition, the seller information may be provided through the Internet, a wired or wireless telephone, or a mobile Internet.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those skilled in the art may easily implement the present invention. As those skilled in the art would realize, the described embodiments may be modified in various different ways, all without departing from the spirit or scope of the present invention. In the accompanying drawings, parts irrelevant to the description of the present invention are omitted in order to clearly describe the present invention, and the same or similar parts are denoted by the same reference numerals.

1 is a block diagram showing the structure of a homologous seller evaluation system according to the buyer credit rating according to an embodiment of the present invention.

Referring to Figure 1, the terminal 110 of the buyer (computer 111, general telephone 112, mobile phone 113) and the Internet network 120, PSTN (Public Switched Telephone Network) 130, mobile communication network The homogeneous seller evaluation system connected through 140 includes a seller server 200, an evaluation information server 300, and a guide server 400 requesting seller evaluation.

Seller server 200 is a server that is built by each of a number of sellers subscribed to the homologous seller evaluation system, and stores and provides buyer information due to the Internet, communication, store sales, and the like.

The evaluation information server 300 prepares a seller evaluation questionnaire for the purchase buyer by using the buyer information provided by the seller server 200, performs a questionnaire on the buyer, and analyzes the result.

Guide server 400 according to the seller's evaluation score evaluated by the buyer evaluation server 400, if there is a seller guidance from the buyer, guide the buyer with a high score first, or different from the evaluation items desired by the buyer Follow the seller instructions.

Each component of the above-described evaluation system will be described in detail as follows.

2 is a block diagram showing a detailed structure of the seller server of FIG.

Referring to FIG. 2, the seller server 200 includes an internet sales unit 210, a telephone sales unit 220, a store sales unit 230, and a buyer DB (Database) 240.

The internet sales unit 210 sells the merchandise using the seller's web site connected to the internet network 120, and the telephone sales unit 220 performs the phone sales through the PSTN 130 and the mobile communication network 140.

In addition, the store sales unit 230 sells the product through an offline store, and the buyer DB 240 stores information of the buyer input while the product is sold by the Internet sales unit 210, the telephone sales unit 220, and the store sales unit 230. Store and manage

3 is a block diagram showing a detailed structure of the evaluation information server of FIG.

Referring to FIG. 3, the evaluation information server 300 includes a buyer information unit 310, an evaluation questionnaire DB 320, a seller information unit 330, and an evaluation questionnaire analyzer 340.

The buyer information unit 310 stores personal information such as a phone number and an e-mail address of a buyer, and stores the buyer's credit rating information evaluated by the seller.

The buyer's personal information includes the buyer's landline phone number, mobile phone number, email address, and the like.

And the buyer information can be stored as shown in Table 1.

As shown in Table 2, buyers are stored in their respective groups.

In detail, Table 2 shows that the buyer ID is an ID that distinguishes purchases by assigning them to buyers who answered the questionnaire more than once, and the buyer's evaluation credit rating is divided into premium, excellent, general, and black groups. To give.                     

In this case, the credit rating of the buyer can be classified by each seller by the seller using the number of purchases, payment information, etc. of each buyer.

The group weight is in the range of 0 to 1, and the premium group is set high and the black group is set low. The group weight stores information on the number of times the buyer evaluates the survey and the error average value of the item evaluated by the buyer.

Referring to Table 1, the buyer 'AA' is set to the excellent credit rating group, the weight of the excellent group is '0.8'.

The buyer information is provided from the seller is stored in the buyer DB of the seller server 200 from the seller, when the seller requests the seller evaluation, by selecting each buyer's personal information and seller ID and the desired item It transmits to the evaluation information server 300.

In addition, the seller server 200 may update the information and credit rating of the buyer stored in the evaluation information server 300 through the Internet network 120, PSTN 130, and the mobile communication network 140.

The evaluation questionnaire DB 320 stores questionnaire data for asking a seller about each product or service quality and a questionnaire responded to the questionnaire by the buyer.

At this time, the evaluation questionnaire writes the question content using the item that the seller wants to evaluate and stores the response content of the questionnaire as shown in Table 2 below.                     

Referring to Table 2, the evaluation questionnaire DB 320 stores the ID or trade name of the seller, and gives a code according to the type of industry for each seller to manage by type of industry.

In addition, to select the evaluation items for each industry and to prepare the evaluation questionnaire, items such as swiftness, accuracy, and kindness are set, and points for each item are assigned.

For example, suppose that the Merchant ID shown in Table 2 is 'BB' and the Commodity Delivery Service Industry has an industry code of '1009'. Make a selection and let the buyer choose the evaluation score for each item.

At this time, if the evaluation scores are classified into 1 to 5 levels, 20, 40, 60, 80, and 100 points may be assigned to each step so that the buyer can select them.

Referring to Table 2, the buyer 'AA' was given a rapidity 4 stages (80 points), an accuracy 3 stages (60 points) and a kindness 2 stages (40 points) to the seller 'BB'.

In addition, the evaluation questionnaire DB 320 stores the scheduled date of conducting the evaluation questionnaire, the date information on which the purchaser has been evaluated, and the media information on which the evaluation questionnaire was performed.

The seller information unit 330 includes a seller information unit 331 and a seller evaluation information unit 332. The seller information unit 331 stores information such as a seller's business type, a phone number, a website address, and the seller evaluation information ( 332) stores the seller's evaluation information according to the buyer's evaluation.

The evaluation questionnaire analysis unit 340 analyzes the response questionnaire stored in the evaluation questionnaire DB 320, assigns an evaluation score to each seller, and stores the evaluated information in the seller evaluation information unit 332.

In this case, in analyzing the response questionnaire, the evaluation questionnaire analysis unit 340 weights the response contents according to the credit rating of each buyer stored in the buyer information unit 310, and calculates a seller evaluation score.

Table 3 below gives the evaluation scores by analyzing the response questionnaire for sellers.                     

Referring to Table 3, the seller 'BB' has reported 120 buyers to the evaluation information server 300, the number of buyers who have responded to the evaluation so far is 100.

However, according to the weight of buyers, the number of applied buyers can be calculated as 90. The evaluation scores up to now have an average overall evaluation score of 85, with 80 points of rapidity, 90 points of accuracy, and 85 points of kindness.

At this time, when the evaluation of the buyer 'AA' is added by Table 1 and Table 2, the evaluation score is changed as shown in Table 4.                     

Referring to Table 4, since the buyer 'AA' has a weight of '0.8' as the buyer credit rating is excellent group, the score is assigned to each evaluation score to update the score.

In other words, swiftness is (80 * 90 + 80 * 0.8) / (90 + 0.8) = 80, accuracy is (90 * 90 + 60 * 0.8) / (90 + 0.8) = 89.7, and kindness is (85 * 90 + 40 * 0.8) / (90 + 0.8) = 84.6

In addition, after evaluating the seller by the buyer, using the score that the buyer previously evaluated the same item, and this time the score can determine the degree of error of the buyer and re-adjust the buyer accordingly.                     

In other words, if the buyer's error range is set within 5% of the Premier group, 5 to 10% of the excellent group, 10 to 20% of the general group, and 20% or more of the black group, the buyer's evaluation credit rating Is determined by which valuation group error range the buyer's rating credit rate error rate falls within.

Therefore, it is defined as Buyer Rating Credit Rating Error Rate = Buyer Rating Error Average + ((Unit Rating Error + (Buyer Rating Error * Buyer Ratings)) / (Buyer Rating Error Average * (Buyer Ratings + 1))).

The unit evaluation error value = (1- (purchaser's sum of items) / (valuation score of items of evaluation information)) * 100.

The unit evaluation error value of the buyer 'AA' according to an embodiment of the present invention is (1- (80 + 60 + 40)) / (80 + 90 + 85)) * 100 = 30, and the evaluation credit rating error rate is 10 + (30 + (10 * 20)) / (10 + 21) = 11.1

Since 11.1 is in the range of 10 ~ 20%, the buyer 'AA' can be changed to a general group, and the buyer valuation error average in the buyer rating DB is modified to 11.1, and the number of evaluations is also changed to 21.

4 is a block diagram showing a detailed structure of the guide server of FIG.

Referring to FIG. 4, the guide server 400 includes a seller information unit 410, a search unit 420, an ARS (Automatic Response Service) guide 430, an internet guide 440, and a mobile guide 450. Include.

The seller information unit 410 includes a seller information unit 411 and a seller evaluation information unit 412. The seller information unit 410 stores information such as a seller phone number, a website address, and seller comment information. It is the same as the seller information unit 330.

The search unit 420 searches for a seller stored in the seller information unit 410 according to the search condition, and the ARS guide unit 430 guides the seller contact through the telephone.

In addition, the Internet guide unit 440 performs a guide according to the seller's evaluation information through a search site such as an internet portal site, and the mobile guide unit 450 provides seller information in a mobile environment.

In this case, the ARS guide unit 430, the Internet guide unit 440, and the mobile guide unit 450 guides the buyer to the seller to be searched by the search unit 420 using the seller's features as a search term.

Seller evaluation method by the seller evaluation system according to an embodiment of the present invention having the above components are as follows.

5 is a flowchart illustrating a homologous seller evaluation method according to a buyer credit rating according to an exemplary embodiment of the present invention.

1 to 4 and 5, when a buyer purchases a product on the Internet, a telephone, a store, etc., the buyer information stored in accordance with the product purchase is stored in the buyer DB 240 of the seller server 200, The stored buyer information is transmitted to the buyer information unit 310 of the evaluation information server 300 for which the seller requests evaluation information (S501).

At this time, the information of the buyer includes a buyer ID, a phone number, an email, an address, etc., and a different basic credit rating is set and stored in the number of purchases and payment details.                     

The evaluation information server 400 determines whether there has been a predetermined time of the evaluation questionnaire (S502), and the evaluation questionnaire DB 320 evaluates the buyer according to the stored evaluation questionnaire (S503).

Of course, the buyer's information is created by using the buyer information stored in the step S501 according to the item to be evaluated for each seller to survey the questionnaire by phone, email, or mail to the buyer.

After the buyer's evaluation, the evaluation questionnaire analysis unit 340 stores the score given by the buyer for each item (S504), and if there is a previous cumulative evaluation score of the seller (S505), it is loaded (S505).

The evaluation questionnaire analysis unit 340 reflects the current buyer's evaluation score in the previous seller's cumulative evaluation score, checks the weight according to the buyer's credit rating (S506), and reflects the evaluation score for each item to which the identified weight is applied. By calculating the cumulative evaluation score and the cumulative total evaluation score for each item of the seller (S507).

After the buyer calculates an evaluation error range using the cumulative comprehensive evaluation score and the score currently evaluated by the buyer (S508), the credit rating of the buyer is readjusted and stored (S509).

In addition, the cumulative total score of the seller calculated in step S507 is stored in the seller evaluation information unit 332 of the seller information unit 330 (S510).

The content of the seller information unit 332 stored as described above is provided to the guide server 400, and is applied to guide the seller through the telephone, the Internet, etc. when there is a seller guide request from the third buyer.

For example, when the third buyer requests the guidance of the seller with the highest speed among sellers whose business is a courier service, the search unit 420 of the guide server 400 searches the seller evaluation information unit 412 and delivers the courier service. The fastest seller in the service sector can be found and provided to a third party buyer.

The drawings and detailed description of the invention are merely exemplary of the invention, which are used for the purpose of illustrating the invention only and are not intended to limit the scope of the invention as defined in the appended claims or claims. Therefore, those skilled in the art will understand that various modifications and equivalent other embodiments are possible. Therefore, the true technical protection scope of the present invention will be defined by the technical spirit of the appended claims.

As described above, the homologous seller evaluation system and method according to the buyer credit rating according to the present invention in the system for evaluating homologous sellers by classifying the buyer's credit rating and assigning weights to each grade to provide more accurate sellers By performing the evaluation and providing the guide information using the accurate seller evaluation information, the buyer provides the desired seller, and according to the seller evaluation, each seller can identify the problem of the service and improve the service quality.

Claims (18)

In a system for performing a seller evaluation from a buyer who purchases a product, Seller server for collecting and storing the information of the buyer in accordance with the service or product to the buyer; An evaluation information server configured to perform a buyer evaluation questionnaire by assigning buyer information stored by the seller server and weights according to the credit rating of the buyer provided by the seller, and calculating and managing evaluation scores for each seller; And Guide server for providing a seller guide service to the buyer using the seller evaluation score calculated by the evaluation information server Homogeneous seller evaluation system according to buyer credit rating, including. The method of claim 1, The seller server, An internet sales unit for selling goods through the Internet; A telephone sales unit that performs a product sale through a wired or wireless telephone; A store sales unit performing a product sale in an offline store; And A buyer DB (DataBase) that stores buyer information input by the Internet sales department, the telephone sales department, and the store sales department. Homogeneous seller evaluation system according to buyer credit rating, including. The method of claim 2, The buyer information, Homogeneous seller evaluation system according to buyer credit rating, characterized by including the ID, telephone number, email address, product purchase frequency, survey response frequency, and buyer credit rating information which is given to each buyer. The method of claim 1, The evaluation information server, A buyer information unit for storing the buyer's information and credit rating information; A seller information unit which stores the seller information and the evaluation information; An evaluation questionnaire DB for storing a questionnaire and a questionnaire response for performing an evaluation survey of the seller stored in the seller information unit to the buyer stored in the buyer information unit and performing a questionnaire; And Analysis of the questionnaire response content of the evaluation questionnaire DB to calculate the seller evaluation score, and evaluation questionnaire analysis unit for updating the buyer credit rating according to the buyer response Homogeneous seller evaluation system according to buyer credit rating, including. The method of claim 4, wherein The evaluation questionnaire stored in the evaluation questionnaire DB, The seller rating system according to the buyer credit rating, characterized in that the seller can determine by selecting a questionnaire according to the industry. The method of claim 4, wherein The buyer information stored in the buyer information unit is homogeneous seller evaluation system according to the buyer credit rating, characterized in that provided from the seller server. The method according to claim 3 or 4, The buyer credit rating is Homogeneous seller evaluation system according to the buyer credit rating, characterized in that it is updated according to the number of purchases and evaluation questionnaire of the buyer. The method of claim 4, wherein The evaluation questionnaire analysis unit, The seller rating system according to the buyer credit rating, characterized in that to calculate the seller rating score by giving a weight given to the buyer's credit rating to the buyer's evaluation questionnaire response. The method of claim 4, wherein The evaluation questionnaire analysis unit, Buyer credit rating is characterized by calculating the error rate by comparing the questionnaire response previously evaluated by the buyer and the current questionnaire response to the same seller, and by applying to the buyer a credit rating applied differentially according to the error rate Homogeneous seller rating system according to. The method of claim 1, The guide server, A seller information unit which stores seller information and seller evaluation information; A guide unit for guiding seller information according to a buyer's request using seller information stored in the seller information unit; And A search unit providing the seller information unit to the guide unit according to a request of the buyer Homogeneous seller evaluation system according to the buyer credit rating, including. The method of claim 10, The guide portion, An automatic response service (ARS) guide unit providing seller information desired by the buyer through a wired or wireless telephone; An internet guide unit providing seller information desired by the buyer through an internet site; And Mobile guidance unit providing the seller information desired by the buyer through the wireless application protocol (WAP) environment of the wireless terminal Homogeneous seller evaluation system according to the buyer credit rating, including. The method of claim 10, The search unit, The seller type and evaluation questionnaire item scores selected by the buyer to search, and the seller rating system according to the buyer credit rating, characterized in that to provide the seller information requested by the buyer to the guide. A method of performing a seller evaluation from a buyer who purchases a product, (a) Entering the information of the buyer purchasing the product: (b) calculating a buyer's credit rating based on the inputted buyer's information; (c) performing an evaluation questionnaire of the seller using the information of the buyer; And (d) calculating the evaluation questionnaire score by assigning weights according to the buyer's credit rating; Homogeneous seller evaluation method according to the buyer credit rating, including. The method of claim 13, In step (b), To calculate the buyer's credit rating, Homogeneous seller evaluation method according to the buyer credit rating, characterized in that calculated based on the number of purchases, payment information of the buyer. The method of claim 13, In the step (c), The evaluation questionnaire is a seller rating method according to the buyer credit rating, characterized in that the seller selects and sets the evaluation item for each industry type. The method of claim 13, Receive a seller guide request from a third buyer using the evaluation score calculated in the step (c), perform a seller search according to the item and industry selected by the third buyer to provide the seller information found to the third buyer. The method of evaluating homologous sellers according to the buyer credit rating further comprising the step. The method of claim 13, In step (d), Calculating an error rate by using the evaluation score of the same seller in the past and the current evaluation score when the purchaser has already registered and evaluated the same seller in the past; And Applying a credit rating applied according to the error rate to the buyer, and updating the credit rating information of the buyer Homogeneous seller evaluation method according to the buyer credit rating further comprising. The method of claim 16, Providing the seller information, Homogeneous seller evaluation method according to the buyer credit rating, characterized in that provided through the Internet, wired and wireless phones, mobile Internet.

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