KR102515130B1 - System for selling customer evaluation information - Google Patents

Abstract

A system for selling customer evaluation information according to an embodiment of the present invention includes a server and a survey execution device, wherein the server processes customer evaluation information collected through the survey execution device, provides types of services, and conducts the survey. A fee corresponding to the period of use of the execution device is calculated and notified to the store-side device, and when it is confirmed that the fee corresponding to the service provision has been paid from the store side, the processed customer evaluation information is provided to the store-side device. The survey execution device may receive evaluation information from a customer and provide the evaluation information to the server.

Description

System for selling customer evaluation information}

The present invention relates to a customer evaluation information sales system. Specifically, the present invention requests customer evaluation on an evaluation target from any customer in a public place or store, processes the obtained customer evaluation information, and provides it to the store, but to the store that receives the processed information. It relates to a sales system for charging usage fees.

Due to the recent development of information communication, most users can easily evaluate a specific place, and the collected evaluation contents are delivered to the manager of the evaluation target and used as a means of requesting feedback. As a collection method for customer satisfaction evaluation, telephone, e-mail, face-to-face, or digital devices such as tablets are sometimes used, but the actual response rate and accuracy are low because the respondent's time is usually consumed for explanations and answers for the question.

In addition, such evaluation contents may be provided to other users, and may affect the user's intention to use them. Due to the influence of such evaluation information, there is a possibility that a competitor may falsely give a low rating or, conversely, a person who has been compensated may repeatedly post a falsely high rating. In the portal, such false repetitive evaluation can be prevented by identifying each individual user based on personal information such as the user's resident registration number. However, unlike these portals, if you want to immediately conduct a customer evaluation in a public place used by many people, survey participants will be reluctant to input such personal information on the grounds that it can be misused for crimes, and accordingly, participation in the survey is also accompanied. will be low In addition, since it takes time to enter such personal information and to be authenticated as an individual user, it is difficult to secure personal information and prevent duplicate evaluation.

Therefore, there is a need for a method for generating relatively accurate evaluation results and providing them to companies while inducing customer evaluation without a sense of rejection by customers. In addition, companies are required not only to provide subjective customer evaluations, but also to provide high-quality services by processing customer evaluations into valuable information that can be used for marketing.

Cited Invention 1: Patent Publication No. 10-2006-0011797 (20060203) Cited Invention 2: Japanese Unexamined Patent Publication No. 2002-324158 (20021108) Cited invention 3: Patent Publication No. 10-2018-0077680 (20180709) Cited Invention 4: Patent Publication No. 10-2001-0103820 (20011124)

The present invention is designed to provide companies with relatively accurate evaluation results while inducing customer evaluations without a sense of rejection by customers.

The present invention is designed to process and provide subjective individual evaluations of customers as objective information that can be referred to in marketing.

A system for selling customer evaluation information according to an embodiment of the present invention may include a server and a survey execution device, wherein the server processes customer evaluation information collected through the survey execution device, provides types of services, and A fee corresponding to the period of use of the survey execution device is calculated and notified to the store-side device, and the processed customer evaluation information is provided to the store-side device when it is confirmed that the fee corresponding to service provision has been paid from the store side. , The survey execution device may receive evaluation information from a customer and provide the evaluation information to the server.

The device for conducting the research further comprises a store-side device that receives and displays customer evaluation information obtained from a customer and processed by the server, receives service fee information calculated by the server, and performs a corresponding operation related to payment. can include

In addition, the survey execution device includes evaluation information acquisition means for obtaining customer evaluation information including at least one form of a star score, numerical value, and facial expression, and customer identification value acquisition means for obtaining an identification value for an evaluator who inputs the evaluation information. can be configured to include

And the server calculates an evaluation result for one evaluation target based on the customer evaluation information received from the survey execution device and the identification value for the evaluator, but based on the appearance sensing information of the evaluator, the same evaluator within a predetermined period of time is calculated. It is possible to prevent rating manipulation by repeatedly inputting positive or negative ratings by a person with unjust intentions by determining whether or not there is overlapping evaluation by a person with unrighteous intentions by determining whether or not there is overlapping evaluation, and if it is confirmed that the evaluation is redundant, the evaluation information written by the corresponding evaluator is removed.

In addition, the server differentially calculates usage fees in response to the type of processing of customer evaluation information received from the research device or the type of customer evaluation information provided, but changes in customer satisfaction confirmed by evaluators who have repeatedly visited, comparison information for similar industries In response to whether or not additional information of a type including at least one of comparison information for each region and consulting information is provided, the usage fee may be calculated differently.

In addition, the server analyzes the pros and cons of the evaluation target based on the customer evaluation information received from the research execution device, provides the analyzed evaluation information for the evaluation target with an already linked marketing expert account, and receives information from the marketing expert. A marketing support unit providing the acquired consulting information to the evaluation target side may be included.

In addition, the server may separately store the customer evaluation information received from the survey execution device in an unprocessed raw data state, and deliver the separately stored raw data to the store side device when an additional request is confirmed from the store side. there is. At this time, confirmation of an additional request from the store side may mean that additional cost payment has been confirmed or other predetermined sales conditions have been satisfied.

According to the present invention, it is possible to calculate and provide relatively accurate evaluation results to companies while inducing customer evaluation without a sense of rejection by customers.

Since the present invention processes subjective individual evaluations of customers into objective information based on statistics in various ways, it is possible to provide high-quality services with high utilization.

1 is a diagram showing the configuration of a customer evaluation information sales system according to an embodiment of the present invention.
2A and 2B are views illustrating an apparatus for performing a survey according to an embodiment of the present invention.
3 is a diagram showing the configuration of a server according to an embodiment of the present invention.
4 is a diagram showing the configuration of an evaluation performer according to an embodiment of the present invention.
5 is a diagram showing the configuration of a rate calculation unit according to an embodiment of the present invention.
6 is a diagram showing an example of a service providing screen according to an embodiment of the present invention.
7 is a diagram showing an example of rate differential calculation according to an embodiment of the present invention.

Advantages and features of the present invention, and methods of achieving them, will become clear with reference to the detailed description of the following embodiments taken in conjunction with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but may be implemented in various different forms, only these embodiments are intended to complete the disclosure of the present invention, and are common in the art to which the present invention belongs. It is provided to fully inform the person skilled in the art of the scope of the invention, and the invention is only defined by the scope of the claims.

Terminology used herein is for describing the embodiments and is not intended to limit the present invention. In this specification, singular forms also include plural forms unless specifically stated otherwise in a phrase. As used herein, "comprises" and/or "comprising" does not exclude the presence or addition of one or more other elements other than the recited elements. Like reference numerals throughout the specification refer to like elements, and “and/or” includes each and every combination of one or more of the recited elements. Although "first", "second", etc. are used to describe various components, these components are not limited by these terms, of course. These terms are only used to distinguish one component from another. Accordingly, it goes without saying that the first element mentioned below may also be the second element within the technical spirit of the present invention.

Unless otherwise defined, all terms (including technical and scientific terms) used in this specification may be used with meanings commonly understood by those skilled in the art to which the present invention belongs. In addition, terms defined in commonly used dictionaries are not interpreted ideally or excessively unless explicitly specifically defined.

The term "unit" or "module" used in the specification means a hardware component such as software, FPGA or ASIC, and "unit" or "module" performs certain roles. However, "unit" or "module" is not meant to be limited to software or hardware. A “unit” or “module” may be configured to reside in an addressable storage medium and may be configured to reproduce one or more processors. Thus, as an example, a “unit” or “module” may refer to components such as software components, object-oriented software components, class components, and task components, processes, functions, properties, procedures, subroutines, segments of program code, drivers, firmware, microcode, circuitry, data, databases, data structures, tables, arrays and variables. Functions provided within components and "units" or "modules" may be combined into smaller numbers of components and "units" or "modules" or may be combined into additional components and "units" or "modules". can be further separated.

The spatially relative terms "below", "beneath", "lower", "above", "upper", etc. It can be used to easily describe a component's correlation with other components. Spatially relative terms should be understood as including different orientations of elements in use or operation in addition to the orientations shown in the drawings. For example, if you flip a component that is shown in a drawing, a component described as "below" or "beneath" another component will be placed "above" the other component. can Thus, the exemplary term “below” may include directions of both below and above. Components may also be oriented in other orientations, and thus spatially relative terms may be interpreted according to orientation.

In this specification, a computer means any kind of hardware device including at least one processor, and may be understood as encompassing a software configuration operating in a corresponding hardware device according to an embodiment. For example, a computer may be understood as including a smartphone, a tablet PC, a desktop computer, a laptop computer, and user clients and applications running on each device, but is not limited thereto.

In the present specification, an evaluator may refer to a customer who participates in customer evaluation through a survey performing device. And, in this specification, a user or a service user may mean a store side that receives customer evaluation information.

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

1 is a diagram showing the configuration of a customer evaluation information sales system according to an embodiment of the present invention.

As shown in FIG. 1 , a system for selling customer evaluation information according to an embodiment of the present invention may include a server 100 and research performing devices 200 (201 to 203).

First, the survey execution device 200 may be configured in various forms, and may include survey-only devices 201 and 202 installed in or near the place (store) to be evaluated and having only a minimum short-range communication function. can This type of device may include an evaluation information input means for receiving evaluation information from customers using the store to be evaluated. can be configured. The research-only devices 201 and 202 can access the server 100 through an AP 220 installed in a designated place or a repeater 210 for relaying a communication connection with the AP without performing a data communication function having a separate billing system.

The research-exclusive device may be subdivided according to the type of evaluation information input means, and is a facial expression input device having buttons displaying various types of facial expressions (eg, angry facial expressions, crying facial expressions, neutral facial expressions, smiling facial expressions, etc.) 201 and an evaluation device 202 of a type that enables intuitive input of only 'good' and 'bad', and the like. Such an examination-exclusive device may be designed to include only a predetermined number of evaluation input means (buttons) in order to reduce the time required for evaluation by evaluators as much as possible and to make the operation of evaluation feel familiar. can

Meanwhile, the research performing device 200 may be implemented by including the mobile device 203 and other various forms.

According to an embodiment, the survey execution device 200 may be implemented in a tablet installed at each table for ordering in a restaurant or the like. Alternatively, the survey execution device 200 may be implemented through a tablet installed for waiting registration or waiting list confirmation at the store entrance. In this way, the type of mobile device 203 having its own data communication function such as a tablet and performing other functions in addition to the function of collecting customer evaluation information can directly access the server 100 without going through a separate repeater 210 .

According to various embodiments, the survey execution device 200 may be installed in an arbitrary place only for customer evaluation survey without any additional purpose.

The survey execution device 200 may provide customer evaluation information obtained from evaluators to the server 100 .

The customer evaluation information obtained from the server 100 may be transmitted to the store, which is an evaluation target, through a predetermined processing process. At this time, a device that receives the processed customer evaluation information will be referred to as a store-side device 204. The store-side device 204 may receive customer evaluation information provided by the server 100 through a web or app and display the received customer evaluation information to a service user.

2A and 2B are views illustrating an apparatus for performing a survey according to an embodiment of the present invention.

FIG. 2A shows a specific example of a separately manufactured survey execution device 200 (expression input device 201) for customer evaluation. First, as shown in 201a of FIG. 2A , the survey execution device 200 may be provided with a pedestal of a specific height in order to request an evaluator participating in customer evaluation to input a facial expression button corresponding to satisfaction according to his or her height. there is.

And, as shown in 201b, a facial expression corresponding to the customer's satisfaction may be provided in the form of a button at the top of the facial expression input device 201 . Although not shown in the drawings, a display window capable of displaying information such as the name of a company or institution to be evaluated may be provided at the top of the facial expression input device 201 as well as facial expression buttons. And, as shown in 201c and 201d of FIG. 2A, the facial expression input device 201 may be designed such that facial expression buttons protrude from the upper surface of the device, and accordingly, it is possible for nearby users to easily and intuitively perform customer evaluation. can make it

Also, although not shown in the drawing, according to various embodiments, the facial expression input device 201 may additionally include a button for canceling selection of a facial expression of satisfaction.

FIG. 2B shows an example of a screen displayed on the survey performing device 203 in the form of a mobile device. The research performing device 200 according to an embodiment of the present invention may include a mobile device such as a tablet. And, as shown in FIG. 2B, when trying to acquire customer evaluation information on a tablet, a button item (expression button) that an evaluator can select may be displayed on the screen, and when the evaluator's selection information is confirmed, the confirmed selection information may be transmitted to the server 100.

3 is a diagram showing the configuration of a server according to an embodiment of the present invention.

As shown in FIG. 3 , the server 100 according to an embodiment of the present invention may include an evaluation unit 110, a statistics provider 120, a marketing support unit 130, and a fee calculation unit 140. Although not shown in the drawing, the server 100 may include a communication unit and a storage unit.

The evaluation execution unit 110 may support a series of operations for enabling customer evaluation to be performed without errors.

Specifically, as shown in FIG. 4 , the evaluation unit 110 may include detailed components.

A detailed description of the evaluation unit 110 will be described with reference to FIG. 4 .

4 is a diagram showing the configuration of an evaluation performer according to an embodiment of the present invention.

As shown in FIG. 4 , the evaluation execution unit 110 according to an embodiment of the present invention may include an evaluation request unit 111 , an evaluator analysis unit 112 , and a redundancy removal unit 113 .

First, the evaluation request unit 111 may manage customer evaluation items for each target (eg, company, institution, etc.) requesting customer evaluation, and perform customer evaluation with items corresponding to each target. In addition, the evaluation request unit 111 may request the survey execution device 200 to perform customer evaluation.

According to various embodiments, the evaluation request unit 111 may support customer evaluation of multiple subjects through one survey execution device 200 . In this case, the evaluation request unit 111 may periodically perform an operation such as changing an initial screen displaying an evaluation target, or the like, so that a plurality of people can confirm an evaluation target in the survey performing device 200 .

The evaluation request unit 111 may provide the evaluator with star point selection data or facial expression selection data corresponding to customer satisfaction, and may request the evaluator to input evaluation information on the object. In addition, the evaluation request unit 111 may support the evaluator to input satisfaction evaluation information through various operations such as numerical input.

According to an embodiment, the evaluation request unit 111 may induce a plurality of evaluators to input evaluation information on the condition that a reward such as point accumulation or coupon provision is provided.

The evaluator analysis unit 112 may request to collect evaluator identification values such as appearance sensing information about the evaluator from the survey execution device 200 . The evaluator analysis unit 112 may code and assign identification values for individual evaluators. In the future, the identification value code for each evaluator assigned by the evaluator analysis unit 112 may be used to detect duplicate evaluators.

In addition, in the process of coding based on the evaluator identification value, the evaluator analysis unit 112 gives the same partial code value for each attribute when specific attributes such as age and gender are the same, and based on the appearance sensing information, the evaluator's age range Attributes such as , gender, etc. can also be supported to be identified together. Attribute information such as age group and gender of evaluators can be used when calculating statistics by processing customer evaluation information.

According to an embodiment, the evaluator analysis unit 132 may acquire an evaluator's face image through a camera provided in the survey execution device 200, and may determine whether the same evaluator is repeatedly evaluated based on the obtained facial image. . The evaluator analysis unit 132 may receive elements such as height and body shape from the survey execution device 200 in addition to the face image, analyze the characteristics of the evaluator using this, and assign an identification value code (eg, a code such as BSD1352). can The above code can be used to determine whether or not it is identical to a previous evaluator.

In this case, the evaluator analysis unit 112 may be configured not to collect personal information such as resident registration number and phone number from the evaluator when the identification value code for the evaluator is generated. The present invention relates to a technology for limiting excessive repetitive evaluation by the same person without collecting sensitive personal information of the evaluator that can be used for crime when evaluating customers. Accordingly, the evaluator analysis unit 112 of the present invention may be configured not to request personal information (eg, resident registration number, address, phone number, etc.) for specifying an evaluator.

The evaluator analysis unit 112 may discard the identification value generated from the evaluator's appearance sensing information when a predetermined time elapses. For example, the period in which the identification value is discarded may be set to 24 hours. Also, after the individual evaluator identification value is discarded, even if evaluation information is generated from the same evaluator, there is no evaluator information to identify duplicate evaluators, so even if the same evaluator performs re-evaluation, it is not considered as duplicate evaluation. That is, the evaluator analysis unit 112 may set a minimum reference time for not being considered as a redundant evaluation as an individual evaluator identification value discard period and periodically discard the evaluator identification value.

In addition, according to various embodiments, the evaluator analysis unit 112 may analyze group information including the gender and age group of the evaluator through an image analysis algorithm when generating the evaluator identification value. Specifically, the evaluator analysis unit 112 determines the group to which the evaluator belongs (eg, gender, age group, foreigner status, etc.) based on appearance sensing information including the evaluator's appearance image, voice, height, etc. acquired from the survey execution device 200. Information can be extracted together and reflected in evaluation information.

As a result of the evaluator analysis, the redundancy removal unit 113 may determine that the evaluation information is negative and delete the evaluation information when it is determined that the same evaluator participated in the redundant evaluation.

According to an embodiment, the redundancy removal unit 113 may determine whether an evaluator is redundant after obtaining both evaluation information and evaluator identification information, or determine whether an evaluator is redundant, and then grant the evaluation qualification to the corresponding evaluator to perform customer evaluation. might as well make it happen.

Among the two methods, hereinafter, after acquiring both the evaluation information and the evaluator identification information, it is determined whether the evaluator is duplicated, and if it is determined that the evaluation is redundant, the method of removing the latest evaluation information will be described more intensively.

According to an embodiment, the present invention is obtained by the same evaluator in order to limit the behavior of continuously participating in the evaluation by one evaluator for a specific purpose (eg, the purpose of malicious slander of a specific store or the purpose of falsely raising the rating). Reliability of evaluation results can be improved by removing redundant evaluation information.

To this end, the duplicate evaluator 113 can confirm the existence of duplicate evaluators by determining whether there exists a code identical to the previously acquired identification value code among the evaluator identification value codes obtained during customer evaluation. In addition, the redundancy removal unit 113 may delete evaluation information input by one evaluator determined to be a redundant evaluator so that it is not reflected in the satisfaction evaluation.

First, the redundant elimination unit 113 may set different redundant evaluation criteria corresponding to the service field to which the evaluation target belongs, and reset the individual evaluator identification value discard cycle accordingly. Alternatively, the duplicate elimination unit 113 may apply a separate evaluation limiting period to an additional specific service field regardless of the discard cycle of the individual evaluator identification value set as a default value.

For example, assuming that the discard cycle of the individual evaluator identification value set as a default value is 24 hours, the duplicate elimination unit 113 classifies service areas to which the default value is applied and service areas to which it is not, and different evaluation limiting periods. can be applied. First, in the case of satisfaction evaluation for facilities such as toilets and benches, which are generally considered to be usable several times a day, the evaluation limiting period may be set to 30 minutes, and, like restaurants or cafes, A default evaluation limitation period (eg, 24 hours) can be applied to the satisfaction evaluation for places that are not considered to be used more than once per day.

As such, the redundancy removal unit 113 may set the evaluation limit period differently according to the characteristics of the service field, and the criterion for setting the evaluation limit period may correspond to the revisit period of users, the time required for one use, and the like. there is.

Basically, if a customer who has used a facility or store wants to participate in customer evaluation more than once during the predetermined evaluation limit period, the participation may be restricted or the submitted evaluation information may be deleted and not reflected.

The redundancy removal unit 113 determines whether the evaluator identification value included in the evaluation information exists when new evaluation information is obtained for the first service field in which the individual evaluator identification value discard cycle and the evaluation limit period are set to be the same. Through this, it is possible to determine whether it is duplicated, and if duplicated identification value information exists, the corresponding evaluation information can be deleted.

On the other hand, the redundancy removal unit 113, when evaluation information is obtained for the second service field for which the evaluation limitation period is set shorter than the individual evaluator identification value discard period, even if the evaluator identification value information exists, a separately set evaluation limitation period If it is judged that evaluation information is entered in excess of 10,000, it will not be regarded as a negative evaluation by a redundant evaluator.

In addition, the redundancy removal unit 113 may set a plurality of survey performing devices 200 as a group, detect negative evaluations based on evaluation information performed by the survey performing devices 200 belonging to the corresponding group, and remove them.

The redundancy removal unit 113 may pre-set a plurality of survey devices 200 existing within a preset distance range as one group based on the position of one survey device 200 . In addition, the redundancy removal unit 113 may determine that the evaluation is duplicated if the same evaluator inputs satisfaction evaluation information two or more times through a device belonging to a group during a predetermined time (evaluation limit period). Accordingly, the duplicate elimination unit 113 may identify and filter out duplicate evaluations by the same evaluator performed not only through one device, but also through any device among a plurality of devices set as a group.

Furthermore, the redundancy removal unit 113 may determine whether to evaluate redundantly based on the movement line or moving distance of the evaluator, and delete the evaluation information when it is determined that the redundant evaluation is the case.

Specifically, the redundancy removal unit 113 may reset the evaluation limiting period by adding a time proportional to the separation distance based on the separation distance between the plurality of irradiation devices. For example, it is assumed that the first investigation device and the second survey device are installed at a distance of about 50 m, and the distance between the first survey device and the third survey device is about 70 m. And if it is assumed that the period (evaluation limitation period) that must elapse before the evaluator inputs the evaluation information again through the first investigation device is 30 minutes after inputting the evaluation information through the first investigation device, the redundancy removal unit 113 sets the elapsed period (evaluation limitation period) required to enter evaluation information in the second investigation device after inputting evaluation information in the first investigation device to 5 minutes (e.g., the first investigation device and the second survey device). It can be set to 35 minutes by adding the value calculated according to the distance between the execution devices being 50 m). Similarly, the redundancy removal unit 113 determines the evaluation limiting period when the third investigation device inputs the second evaluation information after inputting the first evaluation information in the first investigation device. It can be set to 37 minutes by adding 7 minutes, which is a value proportional to the distance (70 m) between the irradiation devices. In this case, it is needless to say that the formula for calculating the distance between the devices performing the investigation and the value proportionally added to the evaluation limitation period corresponding thereto may vary depending on the case.

The statistics providing unit 120 may perform quantitative and qualitative analysis on the evaluation information input by the evaluators, and the statistical information calculated as a result of the analysis is sent to the store-side device 204 when a predetermined condition (eg, usage fee payment) is satisfied. can be provided as needed. According to an embodiment, the statistics providing unit 120 may calculate statistical information for each evaluator group and filter inaccurate evaluation information.

Specifically, the statistics providing unit 120 may perform an operation of calculating statistics based on the obtained evaluation information. The statistics providing unit 120 may calculate statistics according to gender and age in response to a result value obtained by extracting evaluator group information based on information obtained by sensing the evaluator's appearance.

Furthermore, the statistics providing unit 120 may calculate evaluation results for each time period as statistics. For example, the statistics providing unit 120 may calculate an evaluation of the staff friendliness in the morning time zone (eg, 10 am to 12 pm) and the staff friendliness level in the afternoon time zone (eg 1 am to 3 pm), respectively. . Through this, an official of a company or institution who checks the evaluation analysis data calculated by the statistics providing unit 120 can confirm that there is a difference in the response method between the morning staff and the afternoon staff.

In addition, the statistics providing unit 120 may calculate various types of statistical information including trends in changes in customer satisfaction confirmed by evaluators who have repeatedly visited, comparison information by similar industries, and comparison information by region.

First, the statistics providing unit 120 may calculate a change in customer satisfaction with respect to a specific evaluation target, when repeat visit evaluators are secured above a reference value. For example, the statistics providing unit 120 may calculate satisfaction change information by evaluators (same evaluators) who repeatedly visit. At this time, of course, repeat visit evaluators do not fall under the criteria for redundant evaluators subject to the removal of evaluation information. Specifically, assuming that the period used as the criterion for judging duplicate raters is 24 hours, if the same rater re-performs the customer evaluation within 24 hours, the rater is regarded as a duplicate rater and the customer evaluation information entered may be removed. . However, if the same evaluator re-performs the customer evaluation after 24 hours, the standard time for judging duplicate evaluators, the evaluator is not considered a duplicate evaluator and can be recognized as a repeated visit evaluator. In this way, customer evaluation information of evaluators recognized as repeated visit evaluators may be used by the statistics providing unit 120 to calculate satisfaction change trends.

In addition, the statistics providing unit 120 may perform comparison for each similar industry. Specifically, the statistics providing unit 120 may calculate comparison information with other evaluation targets in a similar industry when a predetermined condition (eg, additional payment of usage fee) is satisfied and statistical information on one evaluation target is calculated. . In this case, the criterion for determining a business similar to a specific target may be based on a business classification category previously set by a store manager (service user). However, it is not limited thereto, and the statistics provider 120 may determine based on provided service items registered in the server 100, company name, franchise status, and the like. In addition, the statistics providing unit 120 may perform comparison for similar types of businesses according to customer attributes such as the age group and gender of the main customers.

The statistics providing unit 120 may also perform regional comparison. Specifically, the statistics providing unit 120 may detect a number of other stores corresponding to the same area as a specific store based on the distance interval between stores based on whether they are in the same administrative district or registered store locations. In addition, the statistics provider 120 provides customer evaluation information of other stores in the same area as the corresponding store or comparative evaluation information with other stores in the same area when a predetermined condition (payment of additional usage fee) is satisfied. can do.

The marketing support unit 130 may analyze the strengths and weaknesses of the evaluation target based on the customer evaluation information received from the research execution device. At this time, the analysis of the pros and cons of the evaluation target may be based on comparison information with other evaluation targets classified in the same industry. For example, it is possible to extract items corresponding to the merits or demerits of the evaluation target by comparing the ratings of the items for which directors have received the standard value in other companies classified in the same industry and the ratings of the corresponding items of the main evaluation target. In addition, the marketing support unit 130 may analyze the strengths and weaknesses of the store to be analyzed based on various criteria and methods.

In addition, the marketing support unit 130 provides evaluation information (pros and cons information) analyzed for the evaluation target with a pre-linked marketing expert account, and provides consulting information obtained from the marketing expert to the evaluation target side (eg, store side). can provide

The marketing support unit 130 may determine whether several conditions are satisfied in order to provide the consulting information to the evaluation target side, and first, it may check whether payment of the usage fee has been performed. In addition, the marketing support unit 130 may determine whether or not customer evaluation information above a standard value is secured to the extent that consulting on the evaluation target is possible.

In addition, the marketing support unit 130 may request to separately store the customer evaluation information received from the research device in an unprocessed raw data state. The marketing support unit 130 may deliver separately stored raw data to the store-side device when a request for additional service is confirmed from the store-side. At this time, confirmation of an additional request from the store side may mean that additional cost payment has been confirmed or other predetermined sales conditions have been satisfied. The raw data can be analyzed and used in detail by the store itself, but it is expected that not all stores will require it. Therefore, the marketing support unit 130 provides processed customer evaluation information (eg, average rating, etc.) to general customers, and provides the raw data only to stores that satisfy additional conditions such as payment of a predetermined additional cost. can do.

The fee calculation unit 140 calculates a service charge for providing customer evaluation information to a store to be evaluated, but may calculate the charge differently according to various conditions.

The rate calculator will be described with reference to FIG. 5 .

5 is a diagram showing the configuration of a rate calculation unit according to an embodiment of the present invention.

As shown in FIG. 5 , the rate calculation unit 140 according to an embodiment of the present invention may include a service use check unit 141 and a period check unit 142 .

The used service confirmation unit 141 may calculate a usage fee corresponding to the type of service provided by the store. In addition, the period checking unit 142 may calculate a usage fee corresponding to a service usage period, a rental period of the survey performing device 200, and the like.

Specifically, the used service confirmation unit 141 may differentially set the amount in response to the processing type of customer evaluation information (eg, basic statistical data, comparison statistics for the same service category, comparison statistics for each customer age group, etc.). For example, the used service confirmation unit 141 secures information on the service configuration included in the basic rate and the service configuration provided when an additional charge is paid, and the service item selected by the service user (store side) is the additional charge. In the case of a service configuration corresponding to payment, it may inform that payment of an additional amount is required.

Alternatively, when the service user selects and requests an additional service corresponding to an additional fee payment, the service use confirmation unit 141 may present an individual item usage fee and induce payment. The usage service check unit 141 may check whether the requested usage fee has been paid, and if payment is completed, request another component side (eg, statistics providing unit) to calculate and transmit additional processing information to the store side. can

The period checking unit 142 may calculate a monthly amount so that a specific fee for each store and each service point can be paid regularly. The period checking unit 142 can confirm whether or not there is a contract for a usage period from the service user, and can process regular payment during the period.

The period confirmation unit 142 may calculate a fee according to device rental, and may calculate a fee and make a payment so that a device (survey device) rental period is contracted and monthly payment is made. In addition, the period confirmation unit 142 may provide information about the contract period to other components so that service is performed during a period corresponding to the payment amount.

Although not shown in the drawings, the server 100 of the present invention may further include a communication unit and a storage unit.

The communication unit (not shown) may use a network to transmit/receive data between the user device and the server, and the type of the network is not particularly limited. The network may be, for example, an Internet Protocol (IP) network that provides large data transmission and reception services through Internet Protocol (IP) or an All IP network integrating different IP networks. In addition, the network includes a wired network, a Wibro (Wireless Broadband) network, a mobile communication network including WCDMA, a mobile communication network including a High Speed Downlink Packet Access (HSDPA) network and a Long Term Evolution (LTE) network, LTE advanced (LTE-A ), a mobile communication network including Five Generation (5G), a satellite communication network, and a Wi-Fi network, or a combination of at least one or more of them.

The communication unit according to an embodiment of the present invention may transmit contents for customer evaluation (eg, information on evaluation targets, satisfaction evaluation information input screen, etc.) to the survey execution device 200 so that the evaluator can check them.

The storage unit (not shown) may include, for example, a built-in memory or an external memory. The built-in memory includes, for example, volatile memory (e.g., DRAM (dynamic RAM), SRAM (static RAM), SDRAM (synchronous dynamic RAM), etc.), non-volatile memory (non-volatile memory) (e.g., OTPROM (one time programmable ROM), PROM (programmable ROM), EPROM (erasable and programmable ROM), EEPROM (electrically erasable and programmable ROM), mask ROM, flash ROM, flash memory (such as NAND flash or NOR flash), hard drive, Or, it may include at least one of a solid state drive (SSD).

The external memory includes a flash drive, for example, compact flash (CF), secure digital (SD), micro secure digital (Micro-SD), mini secure digital (Mini-SD), extreme digital (XD), A multi-media card (MMC) or a memory stick may be further included. The external memory may be functionally and/or physically connected to the electronic device through various interfaces.

The storage unit according to an embodiment of the present invention may store an evaluator identification value code. The evaluator identification value code may refer to a code given based on the evaluator's appearance sensing information in order to prevent a negative evaluation by the same evaluator.

In addition, the storage unit may store various types of customer evaluation information processing methods and service charge calculation formulas corresponding to the processing methods.

In addition, to help understand the service performed in the present invention, it will be described with reference to FIGS. 6 and 7 .

6 is a diagram showing an example of a service providing screen according to an embodiment of the present invention.

As shown in FIG. 6 , the service according to an embodiment of the present invention collects customer evaluation information for a specific evaluation target (eg, a store), and processes the collected customer evaluation information (statistical calculation, graph generation, average rating calculation, periodic customer evaluation, etc.).

In addition, according to the present invention, the degree of processing and processing type of customer evaluation information are changed, the additional usage amount can be calculated. Alternatively, there may be a difference between the processing type of customer evaluation information provided when paying for the basic amount and the processing type of customer evaluation information provided when paying for the additional amount.

7 is a diagram showing an example of rate differential calculation according to an embodiment of the present invention.

As shown in FIG. 7, the present invention depends on the type of service provided (eg, type of statistics that can be provided) or the rental level of devices installed to collect customer evaluation information (type of rental device, rental period, etc.) Charges may be differentially calculated.

More specifically, the present invention may include whether or not to rent a device and the type of statistics as a criterion for calculating service usage fees. can include Furthermore, according to the present invention, a consulting service may be provided based on evaluation information and statistics, and a service charge may be set differently depending on whether or not the consulting service is provided. In addition, the present invention can provide collected raw data, and can set a service charge differently depending on whether or not to provide raw data.

In short, a system for selling customer evaluation information according to an embodiment of the present invention may include a server and a survey execution device, wherein the server processes customer evaluation information collected through the survey execution device and provides A fee corresponding to the type and period of use of the survey execution device is calculated and notified to the store-side device, and as it is confirmed that the fee corresponding to service provision has been paid from the store, the processed customer evaluation information is transferred to the store-side device. The survey execution device may receive evaluation information from a customer and provide the evaluation information to the server.

The device for conducting the research further comprises a store-side device that receives and displays customer evaluation information obtained from a customer and processed by the server, receives service fee information calculated by the server, and performs a corresponding operation related to payment. can include

In addition, the survey execution device includes evaluation information acquisition means for obtaining customer evaluation information including at least one form of a star score, numerical value, and facial expression, and customer identification value acquisition means for obtaining an identification value for an evaluator who inputs the evaluation information. can be configured to include

And the server calculates an evaluation result for one evaluation target based on the customer evaluation information received from the survey execution device and the identification value for the evaluator, but based on the appearance sensing information of the evaluator, the same evaluator within a predetermined period of time is calculated. It is possible to prevent rating manipulation by repeatedly inputting positive or negative ratings by a person with unjust intentions by determining whether or not there is overlapping evaluation by a person with unrighteous intentions by determining whether or not there is overlapping evaluation, and if it is confirmed that the evaluation is redundant, the evaluation information written by the corresponding evaluator is removed.

In addition, the server differentially calculates usage fees in response to the type of processing of customer evaluation information received from the research device or the type of customer evaluation information provided, but changes in customer satisfaction confirmed by evaluators who have repeatedly visited, comparison information for similar industries In response to whether or not additional information of a type including at least one of comparison information for each region and consulting information is provided, the usage fee may be calculated differently.

In addition, the server analyzes the pros and cons of the evaluation target based on the customer evaluation information received from the research execution device, provides the analyzed evaluation information for the evaluation target with an already linked marketing expert account, and receives information from the marketing expert. A marketing support unit providing the acquired consulting information to the evaluation target side may be included.

In addition, the server may separately store the customer evaluation information received from the survey execution device in an unprocessed raw data state, and deliver the separately stored raw data to the store side device when an additional request is confirmed from the store side. there is. At this time, confirmation of an additional request from the store side may mean that additional cost payment has been confirmed or other predetermined sales conditions have been satisfied.

Although the present invention has been described in detail with reference to the foregoing examples, those skilled in the art may make alterations, changes, and modifications to the examples without departing from the scope of the present invention. In short, it is not necessary to separately include all the functional blocks shown in the drawings or follow all the steps shown in the drawings in the order shown in order to achieve the intended effect of the present invention, even if not, the technical skills of the present invention described in the claims Note that it may fall within the range.

100: server
110: evaluation execution unit
111: evaluation request unit
112: evaluator analysis unit
113: duplicate removal unit
120: statistics provision unit
130: marketing support department
140: rate calculation unit
141: use service confirmation unit
142: period confirmation unit

Claims (7)

In a system comprising a server and a device for conducting a survey,
The server
Processing customer evaluation information collected through the survey execution device, calculating a fee corresponding to the type of service provided and the period of use of the survey execution device, providing guidance to the store side device, and responding to service provision from the store side Upon confirmation that the fee has been paid, the processed customer evaluation information is provided to the store-side device,
The device for conducting the investigation is
Receive evaluation information from the customer and provide it to the server;
The server,
Obtaining appearance sensing information related to at least one of an evaluator's face, height, and body shape through the survey performing device, and generating an identification value matching the appearance sensing information;
Based on the customer evaluation information received from the survey execution device and the identification value for the evaluator, an evaluation result for one evaluation target is calculated, but based on the evaluator's appearance sensing information, repeated evaluation by the same evaluator within a preset period. and if it is confirmed as a duplicate evaluation, the evaluation information written by the same evaluator is removed, but the same evaluator who re-performs the customer evaluation after the predetermined period is identified as a repeated visit evaluator,
When a predetermined time elapses after the evaluator's appearance sensing information is generated, an identification value matching the evaluator's appearance sensing information is deleted;
If the number of repeat visit evaluators is secured above the standard value, the trend of change in customer satisfaction for the evaluation target is calculated,
The store based on at least one of customer attributes including at least one of the age group and gender of the main customer, a business classification category previously set by the store, and a service item pre-registered in the server, a business name, and whether or not a franchise is established. Calculate comparison information for each similar industry by comparing the statistical information of the store side for the companies determined to be in the similar industry of the side,
Another store existing in the same area as the store on the store side is detected based on at least one of the distance between stores based on the registered store location and whether or not the same administrative district is located, and the detected other store is selected as the store. Calculate regional comparison information including at least one of customer evaluation information and comparative evaluation information of the side,
Obtaining consulting information based on the evaluation information on the evaluation target from the already linked marketing expert account,
Differential calculation of usage fees in response to the processing type of customer evaluation information received from the survey execution device or the type of customer evaluation information provided, but customer satisfaction change trend confirmed by evaluators who have repeatedly visited, comparison information by similar industry, and comparison information by region and consulting information, differentially calculating usage fees in response to whether additional information of a type including at least one is provided,
The preset time is
Customer evaluation information sales system that is set differently according to the service field to be evaluated. According to claim 1,
The device for conducting the research further comprises a store-side device that receives and displays customer evaluation information obtained from a customer and processed by the server, receives service fee information calculated by the server, and performs a corresponding operation related to payment. A customer evaluation information sales system comprising: According to claim 1,
The device for conducting the investigation is
Evaluation information acquisition means for obtaining customer evaluation information including at least one form of star rating, numerical value, and facial expression; and
A customer evaluation information sales system characterized in that it comprises a customer identification value acquisition means for obtaining an identification value for an evaluator who inputs evaluation information. delete delete According to claim 1,
The server
Based on the customer evaluation information received from the research performing device, an analysis of the pros and cons of the evaluation target is performed, the analyzed evaluation information is provided for the evaluation target with a previously linked marketing expert account, and consulting information obtained from the marketing expert is provided. Customer evaluation information sales system comprising a; marketing support unit for providing a side to the evaluation target. According to claim 1,
The server
The customer evaluation information received from the survey execution device is stored separately as raw data in an unprocessed state, but if an additional request is confirmed from the store side, the separately stored raw data is delivered to the store side device Sales of customer evaluation information system.

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