KR101402263B1 - Research management server, and system for evaluating stores using the same - Google Patents

Abstract

Disclosed are a research management server and a store evaluating system using the same. According to an embodiment of the present invention, provided is a store evaluating system including a customer terminal displaying a research request message about a specific store to a customer when receiving the research request message; and a research management server transmitting a research request to the customer terminal while store information is matched with the customer information, calculating an evaluation score from a reply message when receiving the message from the customer terminal, and accumulating the evaluation score by store after extracting the store information and the customer information.

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a research management server and a store evaluation system using the same,

[0001] The present invention relates to a server and a system for evaluating stores by receiving a score for a store from a customer, and more particularly, to a server and a system for evaluating stores by receiving a reply message for a research request message from a customer terminal, And a server and a system for evaluating stores registered as members and sharing information related to the stores.

In recent years, as the interchange between countries has become more active in various fields including economics, culture, etc, the service industry has been rapidly increasing, and customer requirements have also been diversified.

Competition among service providers is becoming more intense, and each store is striving to attract customers by introducing their own differentiating strategies,

In establishing a marketing strategy to gain superiority in this endless competition, it is important to grasp the opinions of customers who are prompt and faithful to customers in order to improve customer satisfaction.

The conventional methods of collecting customer opinions include survey methods using a questionnaire, survey methods using a telephone, and survey methods using the Internet.

First, the questionnaire or telephone survey method is a method of performing an investigation from a randomly selected, unspecified person rather than an actual customer of a specific store. Therefore, not only the response rate is low but also the fidelity to the response is low, .

In addition, these research methods have disadvantages in that they are inefficient in terms of time and cost due to the fact that survey agents distribute the questionnaire directly or call the customer.

In addition, since the survey method using the Internet requires a complicated procedure in which the customer visits the web page of the evaluation site or the like directly to the evaluation and only the specific persons subscribed to the website can respond to the survey, It can be falsified by a group.

In addition, customers who do not actually use the franchise participate in the evaluation, or customers whose infant, elderly, or disabled persons have restrictions on the use of the Internet, fail to participate in the evaluation, and the reliability of the evaluation result is deteriorated.

Korean Patent Publication No. 2011-0030063: Method of Evaluating Store Satisfaction and Terminal Apparatus Applied to It (Mar. 23, 2011)

The embodiments of the present invention have been made in order to solve the problems of the related art described above, and the present invention intends to secure reliability and objectivity of evaluation results by transmitting a research request message only to actual customers using stores.

In addition, embodiments of the present invention transmit a research request message in a format that enables immediate entry of an evaluation item so that a customer can participate in evaluation of a store by a simple operation such as clicking a button or touching a terminal.

In addition, embodiments of the present invention seek to ascertain the degree of recall for each store over time by retransmitting a research request message to a specific customer after a predetermined period of time, and to recall the memory of the customer for the store.

In addition, the embodiments of the present invention aim to improve the customer's satisfaction by calculating the area where the customer uses the store frequently and recommending the store where the evaluation score is higher than a certain standard in the area.

Also, in the embodiments of the present invention, even when an evaluation opinion (for example, a quartile) is inputted from a customer, not a score, a specific phrase included therein is automatically extracted to reflect input items of various formats in the evaluation score.

According to an aspect of the present invention, a communication unit for transmitting a research request message to a customer terminal and receiving a response message for the research request message from the customer terminal, stores the store information for each store with matching customer information using the store, A research evaluation unit for classifying the research request message by the store and transmitting the classified research result message to the communication unit and calculating an evaluation score from the reply message; And a control unit for extracting store information matched with the customer information and controlling the research evaluation unit to accumulate the evaluation score for each store corresponding to the extracted store information.

In addition, the research request message is inserted into a payment guidance message and transmitted.

In addition, the reply message may include at least one of an absolute score, a relative score, and a customer opinion.

The system may further include a syntax extracting unit that automatically extracts a specific phrase included in the customer opinion and reflects the extracted phrase to the evaluation score.

Also, the control unit may control the communication unit to retransmit the research request message to the customer terminal in units of a predetermined period.

In addition, the store manager may calculate the frequency of use for each region of the customer and sort them in a descending order, and if a specific area is selected by the customer terminal, a store with an average rating score of a predetermined rank or more among stores belonging to the selected area may be recommended have.

In addition, the recommended stores may be classified by business type and then transmitted to the customer terminal.

According to another aspect of the present invention, when a research request message for a specific store is received, the store information is displayed to the customer, the store information for each store and the customer terminal transmitting the reply message created by the customer are matched with the customer information using the store The method comprising: transmitting a research request message to the customer terminal in a state in which the client terminal is in a state of being activated, calculating an evaluation score from the reply message upon receiving a reply message from the customer terminal, extracting store information matched with the customer information, A store evaluation system using research information including a research management server accumulated for each store information is provided.

According to the embodiments of the present invention, reliability and objectivity of the evaluation result can be ensured by transmitting a research request message only to an actual customer using a store.

In addition, embodiments of the present invention can transmit a research request message that allows immediate entry of an evaluation item, so that the customer can participate in the evaluation of the store by a simple operation such as clicking or touching a button provided on the terminal.

In addition, the embodiments of the present invention can recognize the degree of recall according to the lapse of time by recalling a research request message to a specific customer after a lapse of a predetermined period, and reconsider the memory of the customer for the store.

In addition, embodiments of the present invention can improve a customer's satisfaction by calculating an area where a customer has frequent use of a store, and recommending a store where the evaluation score is higher than a certain standard to the customer.

In addition, embodiments of the present invention can automatically input various types of input items into evaluation scores by automatically extracting specific phrases included in evaluation comments (e.g.

1 is a schematic configuration diagram of a store evaluation system using research information according to an embodiment of the present invention.
2 is a block diagram showing a detailed configuration of a research management server according to another embodiment of the present invention.
3 is a diagram illustrating an example of a specific syntax that is automatically extracted from a reply message received from a customer terminal by a research management server according to the present invention.
4 is a flowchart schematically illustrating a method of calculating an evaluation score for each store using a store evaluation system according to an embodiment of the present invention.
5 is a flow chart sequentially showing a control method of a research management server according to an embodiment of the present invention.
6 is a screen of a customer terminal displaying recommended store information according to an embodiment of the present invention.

The embodiments disclosed herein should not be construed or interpreted as limiting the scope of the present invention. It will be apparent to those of ordinary skill in the art that the description including the embodiments of the present specification has various applications. Accordingly, it is intended that the scope of the invention be limited not by the claims, but rather by the appended claims, rather than by the claims. In the following description of the present invention, a detailed description of known functions and configurations incorporated herein will be omitted when it may make the subject matter of the present invention rather unclear.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.

1 is a schematic configuration diagram of a store evaluation system using research information according to an embodiment of the present invention.

Referring to FIG. 1, a store evaluation system using research information according to an embodiment of the present invention includes a customer terminal 100 and a research management server 200.

First, the customer terminal 100 receives a research request message for a specific store. Typically, the smartphone includes a netbook, a PDA (personal digital assistant), a portable multimedia player (PMP) The present invention is to be interpreted to mean all devices that can be connected to an external server such as an E-Book Reader and a Personal Navigation Device (PND) through a network to transmit and receive data. In addition, the customer terminal 100 may download and install an application as the case may be, and the application may be driven independently or as a part of another application.

Upon receipt of the research request message, the customer terminal 100 displays it on the screen so that the customer (i.e., the user of the terminal) can recognize it. Then, the customer terminal 100 transmits the research request message (i.e., the reply message) to which the evaluation score is inputted by the customer to the research management server 200 via the wired / wireless network.

Here, the transmission / reception of the research request message or the reply message may be performed directly between the customer terminal 100 and the research management server 200 through the wired / wireless network, but the present invention is not limited to this, and intermediary means such as a mobile communication company, ≪ / RTI > In addition, messenger services such as short message service (SMS), uniform resource locator shorer service (URL-SMS), multi-media message service (MMS), e-mail, push messages via applications, SNS, open API, and the like.

The research management server 200 is a means for requesting research on stores registered as members by transmitting a message to the customer terminal 100 based on customer information while matching store information to customer information for each store, Upon receiving the reply message from the customer terminal 100, the reply message is analyzed to calculate the evaluation score. Also, the research management server 200 may extract the customer information and the matching store information from the reply message, and classify and accumulate the evaluation scores according to the stores.

Hereinafter, the detailed configuration of the research management server 200 will be described in more detail.

2 is a block diagram showing a detailed configuration of a research management server 200 according to another embodiment of the present invention.

2, the research management server 200 according to another embodiment of the present invention includes a communication unit 210, a store management unit 220, a research evaluation unit 230, and a control unit 240.

The communication unit 210 is a means for transmitting a research request message to the customer terminal 100 through the wired / wireless network and a response message for the research request message from the customer terminal 100. In addition, the communication unit 210 may receive item information to be included in the store information and the research request message from the terminal 300 of the store subscribed as a member. That is, the items included in the research request message delivered to the customer may be the same or different for each store. At this time, the store information may include various information for distinguishing a plurality of stores such as a store ID, a store name, a representative, a telephone number, a location, a business type, a price per business item (service)

The communication unit 210 may be implemented to exchange data through one or more of various methods such as WLAN, WiFi, WiBro, WiMAX, HSDPA, short range wireless communication, infrared communication, UWB, .

The store manager 220 plays a role of matching store information for each store with customer information using the stores. Here, the customer information includes information capable of collecting evaluation information without duplicating a large number of customers such as name, telephone number, e-mail, age, and the like.

As an example of the operation of the store manager 220, it is possible to assume two stores whose store IDs correspond to A001 and A002, respectively. If the customers a to h have used the store A001 and the customers i to z have used the store A002, the store manager 220 matches the customer information of the customers a to h with the store information of the shop A001 And the customer information of the i-th to the z-th customers is stored by matching with the store information of the store A002. Thereby, there is an effect that the research request message can be accurately transmitted to the customer who actually uses the store later, or the reply message can be received only from the actual customer.

In addition, the store manager 220 can calculate the customer's frequency of use by region, and can transmit message generation data sorted in ascending or descending order to the communication unit 210 based on the calculated frequency. Thereafter, when a specific area is selected by the customer terminal 100, an average evaluation score (a value obtained by dividing a score accumulated for a certain period of time from the plurality of customer terminals 100 by the predetermined period) among a plurality of stores belonging to the selected area It is possible to recommend a store having a predetermined rank or more. In this case, the recommended stores can be classified by business type and provided to the customer terminal 100. On the other hand, even if a specific area is not selected by the customer terminal 100, the recommended store information may be provided at regular intervals.

Meanwhile, according to an embodiment of the present invention, a research request message may be inserted into a payment guidance message and transmitted. That is, it is common that a customer using a specific store pays a price for a product (service) using a payment means such as a credit card. Therefore, by inserting a research request message together with a payment guidance message and transmitting the message, The customer can also check the settlement history through a single message and can meet the research requirements, which simplifies the procedure. .

In this case, the research management server 200 may connect with a payment server such as a credit card company, generate a research request message each time a payment processing is requested, insert the research request message, and transmit the research request message to the customer terminal 100 in real time.

The research evaluating unit 230 classifies the research request message for each store and transmits the classified research request message to the communication unit 210. In addition, the research evaluating unit 230 analyzes the reply message transmitted from the customer terminal 100 and calculates the evaluation score.

On the other hand, the reply message may include at least one of an absolute score, a relative score, and a customer opinion. An absolute score is a score that a customer thinks is appropriate based on a score (for example, 100 points). The relative score is a score for differentiating the preference for a store such as "very good", "good", "average", "bad", "very bad". In addition, the customer opinion means the customer's feelings about the store using the specific store, the requirements, and the parts that need improvement.

Meanwhile, the research management server 200 according to another embodiment of the present invention may further include a syntax extracting unit 250. FIG. 3 illustrates an example of a specific syntax automatically extracted from a reply message according to the present invention. Fig.

The syntax extracting unit 250 includes a syntax matching module 252 and a storage module 254, and the syntax matching daemul is a means for confirming whether or not a predetermined syntax is included in the reply message, It is automatically extracted.

The storage module 254 is configured to store at least one specific syntax in advance and to store a predetermined score mapped to each of the specific syntaxes. The storage module 254 may include a RAM, a ROM, a hard disk, Memory, CD, or the like.

The syntax extraction unit 250 calls the storage module 254 to acquire the mapped score for the extracted specific phrase, and reflects the mapped score in the evaluation score.

3, the phrase "taste", "good (+15 points)", "weave (-5 points)", "again (+10 Quot ;, "recommendation (+20) ", etc. are mapped with predetermined scores corresponding thereto and stored. At this time, customers who received a research request message from Nolbu Daechi 2-dong, Gangnam-gu, Daegu 2-dong, on September 10, 2013, received a research request and wrote a customer comment saying, "I like the taste for the price. The phrase matching module 252 extracts predetermined phrases ("good taste" and "again visiting") from the customer's opinion of the present example and transmits the extracted phrase to the research management server 200 It can be converted into the mapped predetermined score and then reflected (summed or subtracted) in the evaluation score.

The control unit 240 acquires the customer information from the reply message and transmits the reply message including the absolute score, the relative score or the customer's opinion from the customer terminal 100 to the store manager 220 in cooperation with the store manager 220 And activates the management unit 220 to extract the shop information matched with the acquired customer information. Also, the control unit 240 controls the research evaluation unit 230 to accumulate evaluation scores (continuous summation or average value calculation) for each store corresponding to the extracted store information.

In addition, the control unit 240 may control the communication unit 210 to retransmit the research request message to the customer terminal 100 in units of a predetermined period. That is, a research request message is transmitted to a customer using a specific store, and a research request message is transmitted again after a predetermined period of time from when the reply message is received. Thus, from the viewpoint of the store operator, To ascertain the degree of recall of the customer who used it, to induce the customer to visit again, and to confirm the store image. In addition, from the viewpoint of the customer, there is an advantage that information about a store having a good image visited in the past can be provided.

Meanwhile, according to another embodiment of the present invention, a store evaluation method using a store evaluation system is provided. FIG. 4 schematically shows a method of calculating an evaluation score for each store using a store evaluation system according to an embodiment of the present invention. Fig.

Referring to FIG. 4, the research management server 200 first transmits a research request message to the customer terminal 100.

Then, the reply message, in which the research request message is completed by the customer, is transmitted to the research management server 200.

The research management server 200 receiving the reply message extracts the customer information and the store information corresponding to the reply message, analyzes the reply message, and calculates the evaluation score.

The research management server 200 accumulates the calculated evaluation scores in all or a predetermined period and stores them. In this case, the research management server 200 may calculate the frequency of use of each customer by region, and may rank the customer in each region based on the frequency of use, and provide the rank to the customer terminal 100.

When a specific region is selected by a customer among a plurality of regions and a store recommendation request for the region is transmitted from the customer terminal 100, the research management server 200 determines whether the average score The store can be extracted and transmitted to the customer terminal 100.

According to another embodiment of the present invention, a control method of the research management server 200 is provided. FIG. 5 is a flowchart sequentially showing a control method of the research management server 200 according to an embodiment of the present invention. 6 is a view showing a screen of the customer terminal 100 in which recommended store information is displayed according to an embodiment of the present invention.

5, a research management server 230 including a communication unit 210, a store management unit 220, a research evaluation unit 230, a syntax extraction unit 250, and a control unit 240 and being operated by at least one computer processor, If the customer uses a specific store in a state where the store manager 220 stores and stores the store information with the customer information as the first step of the control method of the customer terminal 200, A research request message is transmitted (S510).

In the second step, the communication unit 210 receives a response message for the research request message from the customer terminal 100 (S520). If a reply message is not received, the process can be switched to the standby mode without further processing.

Next, the control unit 240 extracts customer information and store information from the reply message, and the research evaluation unit 230 analyzes the absolute score, the relative score, or the customer opinion included in the reply message to calculate the evaluation score Step 3 is followed (S530).

In a fourth step, the syntax extracting unit 250 checks whether a specific phrase corresponding to the predetermined syntax is included in the customer comment (S540).

If a specific phrase is included in the customer's opinion, the syntax extracting unit 250 automatically extracts the predetermined phrase, and then proceeds to a fifth step of reflecting the predetermined score mapped to the score to the evaluation score calculated in the third step (S550).

On the other hand, if the specific phrase corresponding to the predetermined syntax in the syntax extracting unit 250 is not included in the customer's opinion at all, as the sixth step, the research evaluating unit 230, in the third or fifth step, (S560). The evaluation score may be accumulated for a certain period of time (S560).

Meanwhile, various information generated by the research management server 200 in each of the above-described steps may be provided to the customer terminal 100 or the store terminal 300 in real time, on a predetermined period basis, or upon request of the terminal.

According to another embodiment of the present invention, after the sixth step, the store manager 220 calculates the frequency of use of the customer by region, arranges it according to a predetermined criterion (e.g., ascending or descending order) A seventh step of checking whether a specific region has been selected by the terminal 100 may be performed (S570).

If it is determined in the seventh step that the specific area is selected, the store manager 220 extracts popular store recommendation information, from among the stores belonging to the selected area, whose average evaluation score is equal to or higher than a predetermined rank, through the communication unit 210, (S580). ≪ / RTI >

Referring to FIG. 6, the screen of the customer terminal 100 provided with the popular store recommendation information can be confirmed. In other words, the popular store recommendation information may include a plurality of stores located in a region selected by the customer (for example, a shop in Hwaseong) together with a category classified according to a business type (eg, a hair shop) By changing the setting value, it is possible to search only the stores corresponding to the average score (for example, 85 points) or more.

Meanwhile, FIG. 6 shows a state in which the recommended popular stores are sorted in descending order according to the ranking, but the present invention is not limited thereto and can be applied in various ways. In addition, the ranking by the store may be calculated based on only the average score, but may be calculated by a combination of at least one of various criteria such as the cumulative number of customers, distance from the current location, It should be understood that there is.

It is to be understood that the term "comprising" and / or " comprising " as used herein means that the constituent element may be implanted unless specifically stated to the contrary, .

The embodiments of the present invention described above are disclosed for the purpose of illustration, and the present invention is not limited thereto. It will be apparent to those skilled in the art that various modifications and variations can be made in the present invention without departing from the spirit and scope of the invention.

100: Customer terminal
200: Research Management Server
210: communication unit 220: store manager
230: research evaluation section 240:
250: syntax extracting unit 252: syntax matching module
254: storage module 300: store terminal

Claims (8)

A communication unit that transmits a research request message to a customer terminal and receives a reply message including at least one of an absolute score, a relative score, and a customer opinion of the research request message from the customer terminal;
A store manager for matching store information for each store with customer information for using the store;
A research evaluating unit for classifying the research request message by the stores and transmitting the classified research request message to the communication unit and calculating an evaluation score from the reply message;
A syntax extractor for automatically extracting a specific phrase included in the customer opinion and reflecting the extracted phrase to the evaluation score; And
When the reply message is received from the customer terminal, extracts shop information matched with the customer information in cooperation with the store manager, and the research evaluating unit controls the evaluation score to be accumulated for each store corresponding to the extracted store information A control unit;
, ≪ / RTI &
The syntax extracting unit extracts,
A syntax matching module for checking whether a specific syntax is included in the reply message and automatically extracting a specific syntax if it is found to be included; And
A storage module in which at least one specific syntax is preset and a predetermined score mapped to each of the specific syntaxes is stored;
A research management server
The method according to claim 1,
Wherein the research request message is inserted into a payment guidance message and transmitted.
delete delete The method according to claim 1,
The store management unit,
And recommends a store whose average rating score is higher than a predetermined rank among stores belonging to the selected region when a specific region is selected by the customer terminal,
6. The method of claim 5,
Wherein the recommended stores are classified into categories of business and then transmitted to the customer terminal.
The method according to claim 1,
Wherein,
Wherein the control unit controls the communication unit to retransmit the research request message to the customer terminal in units of a predetermined period.
A customer terminal that displays a research request message for a specific store to a customer, and transmits a reply message created by the customer and including at least one of an absolute score, a relative score, and a customer opinion; And
The method comprising: transmitting a research request message to the customer terminal while matching store information for each store with customer information using the store; calculating an evaluation score from the reply message upon receiving a reply message from the customer terminal; A research management server that automatically extracts a specific phrase included in the extracted store information, reflects the extracted phrase to the evaluation score, extracts store information matched with the customer information, and accumulates the evaluation score according to the extracted store information;
, ≪ / RTI &
The research management server comprises:
At least one specific phrase is mapped with a predetermined score and is set (recorded) in advance, and it is checked whether a specific phrase is included in the reply message. If it is confirmed that a specific phrase is included, the extracted phrase is automatically extracted, The store evaluation system using the research information

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