KR102090174B1 - Big data analysis based on electronic price notation system Personalized marketing service provision system - Google Patents

Abstract

The present invention relates to a system for providing a big data analysis-based personalized marketing service based on an electronic value declaration system and, more specifically, to a system for providing a big data analysis-based personalized marketing service based on an electronic value declaration system capable of constructing big data according to communication between an electronic value declaration device installed in a store and a user terminal and providing proper information according to satisfaction and preference of a user. The system for providing a big data analysis-based personalized marketing service based on an electronic value declaration system comprises an electronic value declaration device (10), a user terminal (20), and a management server (30).

Description

Big data analysis based on electronic price notation system Personalized marketing service provision system

The present invention relates to a system for providing personalized marketing service based on an electronic price tag system, and more specifically, to construct a big data according to communication between an electronic tag device installed in a store and a user terminal, and the user satisfaction, It relates to a system for providing personalized marketing service customized for big data analysis based on an electronic price tag system that can provide appropriate information according to preference.

The Electronic Shelf Label (ESL) system uses the ESL's NFC wireless communication tag (hereinafter referred to as the ESL tag) to link with the point of sale (POS) device to guide the price information of the product, as well as price per unit, sale price, It is a system to assist in product purchase and store operation by additionally displaying various promotional information such as normal price, product display location display, point information, and display quantity.

In the ESL tag (electronic label) provided in the ESL system, price information is periodically or aperiodically updated, and information necessary for the update is configured to be delivered from a gateway connected to the ESL tag (electronic label), and the received information is the ESL system. The output is notified on the display.

On the other hand, the ESL system as described above merely announces information set on a management server such as price information, discount information, etc. for the displayed products, and there is a problem that it is insufficient to deliver various service information related to the customer.

Accordingly, the need for a means to provide service information related to more products to customers visiting the offline store is emerging.

Publication Patent Publication No. 10-2016-0011312 No. 2016.02.01.

The present invention was created to solve the problems of the prior art, and the problem to be solved in the present invention is to use the information and communication technologies (ICT) communication of an electronic notation device installed in a store, and the electronic notation device and NFC. Provides personalized marketing service based on electronic price tag system that can provide appropriate marketing information according to the characteristics of the user by collecting real-time data according to the operation of the user terminal capable of communication and constructing and analyzing it. It is to provide a system.

The present invention is an electronic notation device 10 equipped with a tag unit 11 for identifying a product by receiving and displaying information of the product displayed in the store; A user terminal that requests product information to the management server 30 by tagging the tag unit 11 of the electronic notation device 10 and receives product information and service information for the tagged product from the management server 30 (20); And store product information on the products displayed in the store, store the tag information on the product tagged by the user terminal 20 to make it big data, analyze it, and provide service information to the user terminal 20 It characterized in that it comprises a; management server (30).

At this time, the electronic notation device 10, a receiving unit for receiving product information from the management server 30; A screen output unit that outputs and displays product information received from the reception unit on a display screen; An ESL control unit controlling the receiver and the screen output unit; And a tag unit in which the identification code of the target product is stored and the identification code information is transmitted to the user terminal 20 through short-range communication with the user terminal 20.

At this time, the screen output unit, as the information about the product, the basic output unit 12 is preset by the administrator to output the product information input to the management server 30; And a service output unit 13 in which service information, which is information derived from the management server 30, is analyzed by analyzing the stored big data information by the behavior of the buyer in the store.

On the other hand, the management server 30, the server communication unit for receiving a request signal from the user terminal 20, and transmits product information and service information according to the request of the user terminal 20; When the server communication unit receives a request signal from the electronic notation device 10 or the user terminal 20, a location information request unit that tracks and analyzes the location of the user terminal 20 where the signal is received; A big data storage unit that stores information transmitted to the management server 30 and product information about products as the user terminal 20 tags them; A big data analysis unit that generates various service information necessary for a user who operates a store or operates a user terminal 20 by using information stored in the big data storage unit; And a server control unit controlling the server communication unit, the location information request unit, the big data storage unit, and the big data analysis unit.

At this time, the big data analysis unit, sales volume, number of tags, tag location, timing (season, day of the week), price, number of repurchases, repurchase cycle, review scores as parameters, sales rank, target product tag rate, product information confirmation rate To derive service information including the actual purchase rate of the target product, sales performance by period, number of repurchases (period), satisfaction with the target product, and a list of recommended products.

In addition, the recommended product list extracts the number of tags of the target product by tag location, selects the product with the second highest number of tags of the target product from the product with the second highest number as the first recommended product line, and thereafter, Among the first recommended products, products whose evaluation scale value is less than a predetermined value are removed from the first recommended products and selected as second recommended products, and the products of the second recommended products are created by sorting in order of highest evaluation scale value. do.

On the other hand, the list of recommended products is sorted in the order of review score, purchase rate, repurchase, or satisfaction by the operation of the user terminal 20.

On the other hand, when a request for product information is received from the user terminal 20, the management server 30 extracts and delivers current location information of the user terminal 20 and display location information of the requested product, and stores it. The information is written on the map information to generate and send the information to the user terminal 20.

Meanwhile, the management server 30 analyzes the repurchase cycle stored in the big data storage unit, and when the user does not place an order in the repurchase cycle of the target product, the management server sends the corresponding product in advance or sends an application. To notify the alarm through or to add the target product to the purchase list (cart) of the application.

According to the present invention, there is an advantage that can be made to provide appropriate information as service information by analyzing a location where a customer visits a store tagging a target product.

In addition, according to the present invention, the recommendation product list is formed in consideration of the tag history, tag location, and purchase history, etc., which reflects the consumer's perceptions and preferences, and the reliability of the recommended product list is further improved. .

1 is a schematic configuration diagram of a personalized marketing service providing system for analyzing big data based on an electronic price labeling system according to the present invention.
Figure 2 is a schematic flow chart of the operation method of the electronic price display system according to the present invention.
3 is a view of an embodiment of an electronic notation device applied to the present invention.
4 and 5 is an embodiment of the application operation screen of the user terminal applied to the present invention.
6 is a view of an embodiment of extracting tag distance as store map information applied to the present invention.
7 and 8 are store map information applied to the present invention, sequentially showing a process of guiding a display location of a target product.

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

The present invention relates to a system for providing personalized marketing service based on an electronic price labeling system, and more specifically, to construct a big data according to communication between an electronic labeling device installed in a store and a user terminal, and the satisfaction of the user, It relates to a system for providing personalized marketing service customized for big data analysis based on an electronic price tag system that can provide appropriate information according to preference.

1 is a schematic configuration diagram of an electronic price labeling system-based big data analysis personalized marketing service providing system according to the present invention, and FIG. 2 is a schematic flowchart of an operation method of an electronic price display system according to the present invention, FIG. Is a diagram of an embodiment of an electronic notation device applied to the present invention, FIGS. 4 and 5 are examples of an application operation screen of a user terminal applied to the present invention, and FIG. 6 is store map information applied to the present invention, and tag distance Is a drawing of an embodiment for extracting, and FIGS. 7 and 8 are store map information applied to the present invention, sequentially showing a process of guiding a display location of a target product.

As shown in Figures 1 and 2, the present invention is an electronic notation device 10 provided with a tag unit 11 for identifying a product by receiving and displaying the information of the product displayed in the store; A user terminal that requests product information to the management server 30 by tagging the tag unit 11 of the electronic notation device 10 and receives product information and service information for the tagged product from the management server 30 (20); And store product information on the products displayed in the store, store the tag information on the product tagged by the user terminal 20 to make it big data, analyze it, and provide service information to the user terminal 20 It characterized in that it comprises a; management server (30).

The electronic notation device (ESL) 10 is configured to enable two-way communication with the management server 30 to receive product information stored in the management server 30 and output it to a display screen. ESL control unit, includes a tag unit (11).

The receiving unit is for receiving product information from the management server 30, the screen output unit is to output and display the product information received by the receiving unit on a display screen, the ESL control unit controls the receiving unit and the screen output unit The tag unit 11 may store the identification code of the target product and transmit the identification code information to the user terminal 20 through short-range communication with the user terminal 20.

At this time, the identification code is stored as a unique code corresponding to each product, and may include a mac address, a client code, and a security key.

That is, a specific identification code is assigned to each of the electronic notation devices 10. When the user terminal 20 tags the tag unit 11, the identification code corresponding to the corresponding tag unit 11 is the user terminal. It is transmitted to (20), the user terminal 20 may transmit it to the management server 30 to receive product information corresponding to the identification code.

In addition, the tag unit 11 is configured to transmit and receive information by the user terminal 20 by short-range communication, wherein the short-range communication is made by NFC (Near Field Communication) tag.

On the other hand, the product information includes the name of the product, price information, discount rate, manufacturer, price per unit weight (food), expiration date (food), date of receipt, advertisement, event information of the target product, discount coupon, origin, nutritional component ( Food), product sales ranking, tag ranking, etc., including basic information and service information about the product, and display information selected by the administrator among the above information on the display screen of the electronic notation device 10.

At this time, as shown in FIG. 3, the screen output unit includes a basic output unit 12 through which basic information is output, and a service output unit 13 through which service information derived by analysis is output.

The service information is information derived by analyzing stored big data information by the actions of buyers in a store, and product sales ranking, tag ranking, and the like correspond to this.

The basic information and service information are received from the management server 30 and displayed on the screen. At this time, the service information is updated and displayed in real time, and when updated, the update date is displayed together.

Meanwhile, a technique for extracting service information by utilizing big data stored in the management server 30 will be described in more detail later.

On the other hand, the electronic notation device 10 (ESL) replaces a price tag made of conventional paper or the like, so that it is provided in a location adjacent to the product, and corresponding products are displayed for convenience of the consumer (buyer). It should be provided within a radius of 20cm.

Meanwhile, a barcode displayed on each product may be marked on the electronic notation device 10. When the user terminal 20 reads a barcode, product information of a product corresponding to the barcode may be transmitted from the management server to the user terminal 20.

Meanwhile, the electronic notation device 10 further includes a lighting unit that lights up according to a signal received from the management server 30, and an embodiment in which the lighting unit operates will be described in more detail later.

The user terminal 20 is a device used by a user, and may be formed of a portable smartphone, a tablet PC, a wearable device, a smart watch, a laptop, a PMP, a PDA, etc., which include a recognition unit, a screen display unit, a terminal communication unit, It may include a terminal control unit.

The recognition unit is for receiving the identification code by tagging the tag unit 11, the user terminal 20 and the electronic notation device 10 by bringing the user terminal 20 close to the tag unit 11 Near-field communication is enabled by the NFC tag, and accordingly, an identification code can be received from the electronic notation device 10.

The terminal communication unit is connected to the network through a local area network or a mobile communication network, thereby enabling two-way communication with the management server 30 to transmit the identification code received by the recognition unit to the management server 30, Product information may be received from the management server 30.

The screen display unit outputs the product information received from the management server 30 to the screen so that the user can visually recognize it.

The terminal control unit is for controlling the recognition unit, the terminal communication unit and the screen display unit, which consists of an application (software) installed in the user terminal 20, and various operations may be performed as the application is manipulated.

On the other hand, Figures 4 and 5 is an embodiment of the operation screen of the application of the user terminal 20, there are various operation buttons in the application, and request appropriate information from the management server 30 as clicking the operation button And receive corresponding information.

Meanwhile, the application includes an input window through which a user can directly request information on a product, and when information on a product (name, manufacturer, etc.) is input into the input window, information on the product matching the product is displayed on the management server ( 30) can be received and output to the screen display, and at this time, product information and service information can also be delivered.

Meanwhile, the management server 30 accumulates and stores product information and information received from the user terminal 20 to be big data, and analyzes it to generate various service information to generate the user terminal 20 and the electronic notation device 10 It is made to provide.

To this end, the management server 30 includes a server communication unit, a location information request unit, a big data storage unit, a big data analysis unit, and a server control unit.

The server communication unit receives a request signal from the user terminal 20 and transmits product information and service information according to the request of the user terminal 20, and consists of two-way communication.

At this time, the server communication unit is capable of two-way communication with the electronic notation device 10 as well.

Incidentally, a plurality of gateways 40 are installed in the store, and the electronic notation device 10 or the user terminal 20 is in two-way communication with the gateway 40 closest to the deployed location, and the gateway ( 40) as the two-way communication with the management server 30 is made, the electronic notation device 10 and the user terminal 20 are able to communicate with the management server 30.

At this time, a zigbee may be applied so that one gateway 40 can communicate with a plurality (multiple) of the electronic notation device 10 and the user terminal 20.

The location information request unit is configured to track and analyze the location of the user terminal 20 where the corresponding signal is received when the server communication unit receives the request signal from the electronic notation device 10 or the user terminal 20.

In other words, the request signal is that the electronic notation device 10 or the user terminal 20 requests various information about the product from the management server 30. In the present invention, the product information is requested. The location information of the electronic notation device 10 and the user terminal 20 is made into big data and analyzed so that it can be utilized as various marketing information.

To this end, the location information request unit measures the strength of the transmission / reception signal generated between the user terminal user terminal 20 and the gateway 40 or the strength of the transmission / reception signal generated between the electronic notation device 10 and the gateway 40. It is made to measure and analyze the magnitude of the measured signal to estimate and derive the position of the user terminal 20 and the position of the electronic notation device 10.

As described above, since the technology for tracking the location using the signal strength during wireless communication indoors is a known technology, a detailed description thereof will be omitted.

The big data storage unit is used to classify and store various information necessary for analysis, and stores information transmitted to the management server 30 as the user terminal 20 is tagged, and the product information is categorized by category. Is input and stored.

For example, the big data storage unit includes a product information storage unit for storing product information, a tag location storage unit, a tag history storage unit, a purchase history storage unit, etc., and the user terminal 20 has an electronic notation device 10. The various information generated by tagging is stored in various categories such as by customer (by gender, age, etc.), by product, and by product category, and the category is not limited to the categories mentioned above, and this is the management server 30 ) To save in advance.

The product information storage unit includes the name, price information, discount rate, manufacturer, price per unit weight (food), shelf life (food), date of arrival, advertisement, event information of the target product, discount coupon, origin, In order to sell products such as nutritional components (food), product locations (maps), information basically provided by a store is stored, which is input and stored in advance by a manager of the store, which may be stored for each product line.

In addition, the product information may be input for information on products displayed in other stores, which can be directly input by a user operating an application, at this time, the other store has the same name to purchase the target product. It means different points of a brand or each point of a different brand.

On the other hand, in the case of the location (map) of the product, the administrator can directly set and store it in the management server 30. At this time, in order to further increase the accuracy of the displayed product, the location information of the product received from the location information request unit and It compares the preset location information to determine whether it matches, and if it does not match, the manager can check the display status in the store and update the map information.

The tag history storage unit sequentially stores the product history tagged by the user terminal 20 and the tagged time. It is classified and stored by customer (age, gender), product, and product category.

As described above, the tag location storage unit receives and stores the tag locations of the electronic notation device 10 and the user terminal 20 derived by the location information request unit, which are sequentially stored in chronological order.

The purchase history storage unit is configured to store the history of products purchased for each customer from the POS device, which may be classified and stored based on various criteria such as a product line, a purchase date, a purchase region, and the number of purchases of the same product.

At this time, the information about the customer is information about all customers who have a purchase history through the online and offline for the store, and generally the personal information of the membership member, etc., is established based on the information about each customer The big data is stored so that the age and gender of the customer using the user terminal 20 are separately stored.

Meanwhile. The POS device is capable of two-way communication with the management server 30 by a communication device.

Meanwhile, the big data analysis unit is configured to generate various service information required for a user operating a store or operating a user terminal 20 by using information stored in the big data storage unit. The service information extracted and generated by the big data analysis unit will be described in more detail later.

The server control unit is for controlling the server communication unit, location information request unit, big data storage unit, big data analysis unit.

According to the above configuration, since the electronic notation device 10 is provided on a shelf in a store, its size is small, so the product information displayed on the screen is limited. In the present invention, the user terminal 20 corresponds to the object. Tagging the tag unit 11 to receive product information and service information from the management server 30, so that the user can easily check.

In other words, the request code for the target product is stored in the tag unit 11 of the electronic notation device 10 in advance, and the user terminal 20 is turned on while the application of the user terminal 20 is turned on. When the tag is proximate to the side, the user terminal 20 recognizes the request code and delivers it to the management server 30.

At this time, when the tag unit 11 is a barcode of a product, the target product is recognized using the barcode reader of the application, and information of the recognized barcode is transmitted to the management server 30.

The management server 30 extracts the corresponding product information from the big data storage unit according to the received recognition information, and transmits the extracted information to the user terminal 20.

Meanwhile, in the present invention, big data may be variously analyzed with a plurality of parameters according to information requested by the user terminal 20, and service information according to the analysis may be provided.

For example, the big data analysis unit uses sales volume, number of tags, tag location, timing (season, day of the week), price, number of re-purchases, re-purchase cycle, report count, etc. as parameters, sales ranking, target product tag rate, Product information confirmation rate, actual purchase rate of target product, sales performance by period, number of repurchases (period), sales price information of other branches, satisfaction with target product, service information such as list of recommended products are derived and provided to managers or buyers Can be.

The sales ranking is derived by sequentially marking the products with the most cumulative purchase history during a specific period for each product group as the first ranking, and the higher the ranking, the higher the preference of the target product.

The tag rate of the target product is a ratio of tagging the target product in the same product family, which is derived using the tag history accumulated in the big data storage unit.

In other words, the big data analysis unit extracts the total number of tags (Ta) and the total number of tags (Tb) of the product to which the target product belongs from the tag history, and converts the ratio of Tb to Ta into a numerical value. Extract and generate tag rate data.

The tag rate can be used as a measure of awareness and interest in the target product, and the higher the tag rate, the higher the recognition and interest of the target product among the product groups to which the target product belongs.

Using the tag rate of the target product as described above, a preference ranking list according to the tag rate of the product group to which the target product belongs may be created, and this may be transmitted to the user terminal 20 as service information.

The actual purchase rate of the target product is a ratio that a user actually purchases the target product, and is derived using tag history and purchase history stored in the big data storage unit.

In other words, the big data analysis unit extracts the total number of tags (Tb) of the target product from the tag history, extracts the number of times the user purchased the target product (Sa) from the purchase history, and targets the total number of tags Tb. The ratio of the number of purchases of the product Sa is converted into a numerical value, and the actual purchase rate data can be extracted and generated and used as a measure of purchase preference. In the present invention, it can be determined that the higher the above value, the higher the purchase preference for the target product.

The number of re-purchases is the number of purchases of the target product for a set period from the purchase history, and can be used as a measure of the user's preference for the target product. The higher the number of re-purchases, the higher the preference.

The repurchasing cycle is expressed as an average value by extracting the time taken from the selected purchase date to the next purchase date, if there is a history of two or more purchases from the purchase history, which is expressed as an average value. It can be used as a measure of user preference for, and the smaller the repurchase period value, the higher the preference.

The selling price information of the other branch is generated by extracting the price of the target product of the current store and the selling price of another store selling the target product from the product information, which is intuitively determined by the user as shown in FIG. 4. It can be extracted to the user terminal as service information such as tables and graphs.

Satisfaction with the target product is determined by parameters (tag rate, actual purchase rate, number of repurchases, price, tag distance, repurchase cycle, number of reports), which is proportional to the tag rate, actual purchase rate, repurchase frequency, price, It is inversely proportional to the tag interval (tag distance), the repurchase cycle, and the number of reports, and the higher the satisfaction level, the better the actual purchaser's evaluation of the target product can be judged to be.

For example, the satisfaction of the target product is calculated by the following equation.

Satisfaction =

It is determined that the higher the satisfaction value of the target product is, the higher the satisfaction of the actual purchaser is. At this time, the functions for each parameter value in the above equation are converted and extracted by using a function formula for each parameter value.

As described above, f1 (tag rate) is a conversion value for the rate of tagging the target product in the same product family, and satisfies f1 (tag rate) = Tb / Ta * 100.

As described above, f2 (real purchase rate) is a conversion value for the ratio of the number of sales to the total number of tags of the target product, and satisfies f2 (real purchase rate) = Sa / tb * 100.

f3 (the number of repurchases) is a value converted from the number of repurchases (Sr) for a set period, and satisfies f3 (the number of repurchases) = Sr * a1 + b1. Here, a1 and b2 are conversion coefficients for converting a function value for the number of repurchases, and can be directly set by the administrator.

f4 (price) is the conversion value of the price competitiveness of the target product, and is converted as the ratio of the price (Ps) of the target product to the average selling price (Pa) of the product group to which the target product belongs, and f4 (price) = Ps / Satisfies Pa * a4. At this time, a4 is a conversion factor, which can be set by the administrator.

f5 (tag distance) is a conversion value for the difference between the display position of the target product and the last tag position. The display point of the target product is called P1 (x1, y1), and the last tag position of the target product is P2 (x2, y2) ), The linear distance D between P1 and P2 is extracted and expressed, and f5 (tag distance) = {(x1-x2) ^ 2 + (y1-y2) ^ 2} ^ (1/2) do.

f6 (repurchase cycle) is a conversion value for the cycle in which the target product is repurchased for a set period, which is a plurality of purchase dates in the latest date order D (n), D (n-1), ... D3, D2 , D1, the absolute value of the difference between the previous purchase date (Dn-1) from the relatively late purchase date (Dn) among the adjacent pair of purchase days (D (n-1), D (n)) Denoted by f6 (repurchase cycle) = (| (Dn-1)-(Dn) | + | (Dn-2)-(Dn-1) | + ..... + | (D2-D1) | ) * a2 / (n-1), and if there is no repurchase history, the above value is converted to 1. At this time, a2 is a conversion factor, which can be set by the administrator.

f7 (Review Score) is the actual buyer who actually purchased the product and converts the likelihood of the product into a number, and it should be written as the number entered by the user from 1 to 10 points. At this time, the review score can be input through the user terminal, and the user's opinion on the product can be recorded together with the numerical input.

Meanwhile, the recommended product list is determined by satisfaction with the target product and tag location information.

In the present invention, when the target product is tagged in the store, the location information tagged with the product is sequentially stored in the big data storage unit, and the preferred product of the actual purchaser can be determined according to the location where the product is tagged.

For example, as described above, the number of times tagging the A product in a plurality of user terminals 20 is extracted for each location, and the location where the A product is most tagged is the location where the A product is displayed. The product with the second highest number of products is selected as the first recommended product line.

At this time, if the number of tags is not the product of the same product line among the 2nd to nth products, the corresponding product is excluded from the recommended product list.

According to the above process, when the product A is purchased, the product of the target group that is most frequently compared can be extracted.

Subsequently, the big data analysis unit selects a product whose evaluation scale value is less than a predetermined value among the first recommended products from the first recommended products and selects it as a second recommended products, and the products of the second recommended products have a high satisfaction value. The list of recommended products is generated by sorting according to various conditions such as the order of net, order of purchase history, number of review points, or order of repurchase frequency.

That is, the primary recommendation product line is simply extracted based on a high tag rate. In this case, if the review scores and the satisfaction values, which are evaluation scale values, are lower than the set values, it is determined that the reliability and favorable feeling of the product are low. , As these products are excluded from the recommended product categories, the reliability of the list of recommended products is further improved by forming a second recommended product category.

On the other hand, the list of recommended products can be sorted according to various conditions such as review score order, purchase rate order, re-purchase order, and satisfaction order, which can be appropriately provided according to the age and gender of the customer using the user terminal 20 do.

The service information can be produced as various pieces of visual information and transmitted to the user terminal 20. By clicking a specific product in the transmitted list, the product information for the product is requested to the management server 30, and the management server 30 may receive product information on the product and receive service information on the product again.

In addition, in the present invention, a sales strategy may be set using the above parameter values such as satisfaction of a target product, tag rate, and actual purchase rate.

For example, in the case of a product with a relatively low satisfaction level, various event promotions can be held to increase the sales rate.

Alternatively, the store manager may determine various display locations according to the tag rate and tag location information of products in the store.

For example, it is possible to change the display position of a product having a low tag rate to a position where a product having a high tag rate is disposed, so that the sales rate can be improved by increasing the frequency of exposure of the product.

Alternatively, the big data analysis unit may extract the user's movement path information using the tag location information, and use the tag location information to set a display location.

As described above, in the present invention, the tag location information is sequentially stored in chronological order, and the big data analysis unit displays tag location information for each user in chronological order on the store map to form movement path information for each user. It can be used as information for display of products, such as collecting movement route information to provide promotional products at a relatively high flow location, or changing the display location of products placed at relatively low flow locations to locations with high flow. have.

In this case, the movement route information may be classified and stored according to age and gender.

As described above, in the present invention, in the store, information that is extracted from the behavior of the actual purchaser operating the user terminal 20 is stored as big data, and this is analyzed to extract service information, and the user terminal 20 and It is made to transmit to the electronic notation device 10.

At this time, the big data analysis unit updates and stores the above-described service information in real time, and the update period may be set manually by an administrator for n hours or n days.

That is, in the present invention, since the user in the store is provided with service information updated in real time by the action of the actual purchaser, there is an advantage of enjoying more reliable shopping.

On the other hand, in the present invention, a regular delivery service for delivering a product in advance can be provided even if the user recommends the product according to the repurchase cycle or the consumer does not place an order.

As described above, the analysis unit in the present invention is configured to analyze the user's purchase history to derive a repurchase cycle and store it as big data. The management server extracts a list of recommended products for the repurchased product and provides it to the user. Can provide.

In addition, in the present invention, when the user does not place an order for the repurchase cycle of the target product by analyzing the repurchase cycle stored in the big data storage unit, the management server sends the product in advance or notifies the alarm through the application. Or, add the target product to the application's purchase list (cart).

In other words, in the present invention, even if the user does not directly apply, regular delivery to the target product is automatically requested, thereby improving user convenience, or by inducing the user to repurchase the target product, thereby improving the purchase rate for the target product. have.

The above-described functions can be released or set by manipulation of the application.

On the other hand, in the present invention, it is possible to search for a product in the store using the user terminal 20, and when clicking on a searched product or products provided as the service information, information about the product is provided as visual information. In this case, the present invention transmits guide information for guiding a route to the display location of the products so as to guide the user's movement.

In other words, when a request for product information is received from the user terminal 20, the management server 30 extracts and transmits current location information of the user terminal 20 and display location information of the requested product, and receives it. As illustrated in FIG. 7, when the guide information is generated by displaying it on the map information of the store, the guide information is transmitted to the user terminal 20 so that the user can visually confirm it.

At this time, the shortest path from the location of the user terminal 20 to the location where the target product is displayed can be displayed on the guide information.

In addition, the guide information is visually easy to see if the user is moving in the correct direction as the location information of the user terminal 20 is updated by the management server 30 at a predetermined time, for example, every 1 to 3 seconds. Be aware.

In addition, if it is determined that the management server 30 is gradually distant from the display location of the target product and the location of the user terminal 20 to be updated, a warning signal may be sent to induce the user to move in the correct direction.

On the other hand, in the present invention, the user terminal 20, as shown in Figure 8, according to the guide information, the user terminal 20 is adjacent to the target object, specifically, when the target product enters the display area, In the management server 30, the electronic notation device 10 corresponding to the target product transmits a lighting signal, and the electronic notation device 10 can visually guide the position of the target product while emitting light according to the lighting signal. have.

At this time, the lighting unit of the electronic notation device 10 may be lighted in various colors, and the management server 30 determines and transmits an emission color when transmitting the lighting signal, and the determined emission color is the user terminal 20 The electronic display device 10 emitting light in a color corresponding to this is more easily provided to the user so that the user can find a location where the object is displayed.

On the other hand, when it is determined that the plurality of user terminals 20 enter a single area and check the location information of the object, the management server 30 determines and transmits the emission colors to emit different colors.

Although the preferred embodiments of the present invention have been described above, the scope of rights of the present invention is not limited to this, and it should be understood that the scope of rights of the present invention extends to those that are substantially equivalent to the embodiments of the present invention. Various modifications can be carried out by those skilled in the art to which the invention pertains without departing from the spirit of the invention.

10: electronic notation device
11: Tag unit 12: Basic output unit
13: service output
20: user terminal
30: management server
40: gateway

Claims (9)

An electronic notation device (10) having a tag unit (11) for identifying and displaying information of products displayed in the store;
A user terminal that requests product information to the management server 30 by tagging the tag unit 11 of the electronic notation device 10 and receives product information and service information for the tagged product from the management server 30 (20); And
Management that stores product information on products displayed in stores and stores tag information on products tagged by the user terminal 20 to make it big data, analyzes it, and provides service information to the user terminal 20 Server 30;
It includes,
The electronic notation device 10,
A receiving unit receiving product information from the management server 30;
A screen output unit that outputs and displays product information received from the reception unit on a display screen;
An ESL control unit controlling the receiver and the screen output unit;
A tag unit in which the identification code of the target product is stored and the identification code information is transmitted to the user terminal 20 through short-range communication with the user terminal 20;
It includes,
The screen output unit,
As information about the product, the basic output unit 12, which is preset by an administrator and outputs product information input to the management server 30; And
A service output unit 13 displaying service information, which is information derived by analyzing the stored big data information by the behavior of the buyer in the store by the management server 30;
It includes,
The service information is updated and displayed in real time, and when updated, the date of update is output and displayed.
The management server 30,
A server communication unit receiving a request signal from the user terminal 20 and transmitting product information and service information according to the request of the user terminal 20;
When the server communication unit receives a request signal from the electronic notation device 10 or the user terminal 20, a location information request unit that tracks and analyzes the location of the user terminal 20 where the signal is received;
A big data storage unit that stores information transmitted to the management server 30 and product information about products as the user terminal 20 tags them;
A big data analysis unit that generates various service information necessary for a user who operates a store or operates a user terminal 20 by using information stored in the big data storage unit; And
A server control unit controlling the server communication unit, the location information request unit, the big data storage unit, and the big data analysis unit;
It includes,
The big data analysis unit,
Sales volume, tag count, tag location, timing (season, day of the week), price, number of repurchases, repurchase frequency, review score as parameters, sales rank, tag rate of target product, confirmation rate of product information, actual purchase rate, timing of target product It derives service information including sales performance, repurchase frequency (period), satisfaction with the target product, and recommendation product list for each product.
The recommended product list above,
The number of tags of the target product is extracted for each tag location, and the product with the second highest number of tags for the target product is selected as the first recommended product category, and thereafter, an evaluation scale among the first recommended product categories. A product with a value less than a predetermined value is removed from the first recommended product line to be selected as a second recommended product line, and the products of the second recommended product line are generated by sorting the evaluation scale values in the order of highest value.
The evaluation scale value includes a satisfaction value,
Satisfaction of the target product,

It is to be determined by the above formula, the function of each parameter value deriving the satisfaction of the target product,
f1 (Tag rate) = Tb / Ta * 100
(Ta: Total number of tags of the product group to which the target product belongs, Tb: Total number of tags of the target product)
f2 (real purchase rate) = Sa / Tb * 100
(Sa: number of purchases of target product, Tb: total number of tags of target product)
f3 (number of repurchases) = Sr * a1 + b
(Sr: number of repurchases during the set period, a1, b: conversion factor)
f4 (price) = Ps / Pa * a4
(Ps: Target product price, Pa: Average selling price of the product group to which the target product belongs)
f5 (tag distance) = {(x1-x2) ^ 2 + (y1-y2) ^ 2} ^ (1/2)
(Display point P1 (x1, y1) of the target product, last tag position P2 (x2, y2) of the target product)
f6 (Repurchase cycle) = (| (Dn-1)-(Dn) | + | (Dn-2)-(Dn-1) | + ..... + | (D2-D1) |) * a2 / (n-1)
(Dn, Dn-1, ... D3, D2, D1, a2: Conversion coefficients for multiple purchase dates in the latest date order. If there is no repurchase history, the above value is converted to 1.)
f7 (Number of review points) = Number entered by the user among 1 to 10 points
To be derived by
The recommended product list above,
By the operation of the user terminal 20, it can be sorted in order of review score, purchase rate, re-purchase or satisfaction.
The management server 30,
When a request for product information is received from the user terminal 20, the current location information of the user terminal 20 and the display location information of the requested product are extracted and delivered, and the information is displayed on the map information of the store to generate guide information To the user terminal 20,
The guide information includes the shortest path from the location of the user terminal 20 to the location where the target product is displayed,
In the guide information, the location information of the user terminal 20 is updated by the management server 30 at regular time intervals,
The electronic notation device 10 further includes a lighting unit that lights up according to a signal received from the management server 30, and when the user terminal 20 enters an area where the target product is displayed according to the guide information, , The management server 30 transmits a lighting signal to the electronic notation device 10 corresponding to the object, and the electronic notation device 10 visually guides the position of the target product while emitting light according to the lighting signal. ,
When the management server 30 transmits a lighting signal, it determines and transmits an emission color, and the determined emission color is transmitted to the user terminal 20,
When it is determined that the plurality of user terminals 20 enter a zone to check the location information of the target product, the management server 30 determines and transmits light emission colors to emit light of different colors.
The management server 30,
By analyzing the repurchase cycle stored in the big data storage unit, if the user does not place an order in the repurchase cycle of the target product, the management server sends the corresponding product in advance, notifies the alarm through the application, or purchases the application A personalized marketing service providing system based on an electronic price tag system based on big data analysis characterized by adding a target product to a list (cart). delete delete delete delete delete delete delete delete

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