KR20170079938A

KR20170079938A - Consumption pattern analysis and marketing system and method for the same

Info

Publication number: KR20170079938A
Application number: KR1020150191019A
Authority: KR
Inventors: 이병호; 김대정
Original assignee: 한양대학교 산학협력단
Priority date: 2015-12-31
Filing date: 2015-12-31
Publication date: 2017-07-10
Also published as: KR101815558B1

Abstract

A beacon signal analysis and marketing system using a beacon according to an exemplary embodiment of the present invention includes a beacon signal receiver for receiving a beacon signal from a beacon module built in a POS system installed in a merchant; A transaction information acquiring unit for recognizing the merchant installed in the POS system using the beacon signal and acquiring transaction information related to the merchant from the POS system upon completion of payment through the POS system; And a consumption pattern analyzing unit for analyzing a consumption pattern of a user using the transaction information.

Description

Technical Field [0001] The present invention relates to a consumption pattern analyzing and marketing system and method using a beacon,

Embodiments of the present invention relate to a consumption pattern analysis and marketing system and method using beacons.

With the development of the mobile communication network and the development of the terminal specification, the mobile terminal has become a necessity of the modern person and has evolved into a total entertainment device, out of the category of the conventional simple communication device or information providing device.

Particularly, in recent years, a payment service using a smart phone has been widely used. When a merchant purchases a product, a credit card function is also provided through a mobile application.

At this time, the user must have a mobile card and a credit card issued, and a card issued at a merchant having a POS (point of sale) system to which Near Field Communication (NFC) tagging is connected is connected to an NFC reader The mobile card can be tagged or a credit card can be presented directly to proceed with the payment.

In this case, the POS obtains the card information read from the NFC or the card information read from the card reader, and receives a payment approval from the card company through the VAN (Value Added Network) company.

On the other hand, when making a settlement with a card, the user can accumulate points or use the accumulated points through the membership card provided by the merchant, and store information about the membership card in the mobile terminal so as to solve the inconvenience of carrying the membership card And present the membership card through the mobile terminal so that the membership card can be used.

In addition, the membership card is used for marketing and new product development by analyzing the consumption pattern (pattern) of customers.

However, when analyzing consumption patterns through membership cards, it requires huge capital to construct such a platform infrastructure, and at least it is difficult for small companies to try even without the capital power of large corporations.

Related Prior Art Korean Patent Publication No. 10-2015-0040261 (entitled: mobile payment system, mobile terminal, and mobile payment method, publication date: 2015.04.14) is available.

An embodiment of the present invention provides a consumption pattern analysis and marketing system and method using a beacon that can analyze a consumption pattern of a consumer by using a beacon signal and utilize it for marketing.

The problems to be solved by the present invention are not limited to the above-mentioned problem (s), and another problem (s) not mentioned can be clearly understood by those skilled in the art from the following description.

The transaction information acquisition unit may determine the location of the portable terminal of the user based on the signal strength of the beacon signal and recognize the merchant as a merchant where the user is located if the location of the portable terminal is within a predetermined effective range have.

Wherein the transaction information acquisition unit receives an agreement message related to the acquisition of the transaction information from the POS system upon completion of the payment and transmits the agreement message to the POS system including the agreement sign, Information can be provided.

The transaction information may include at least one of a receipt content, a transaction time, a purchase price, and an affiliate shop address.

Wherein the consumption pattern analyzer transmits the transaction information to the server through an application installed in the portable terminal of the user and analyzes the consumption pattern of the transaction information from the server through pattern analysis based on the pattern analysis algorithm of the server .

The consumption pattern analyzer may extract consumption pattern analysis basis information including the transaction information as text information based on character recognition, and analyze the consumption pattern based on the extracted text information.

The consumption pattern analysis basis information may include an SMS transmitted and received by the portable terminal of the user, an SNS connected by the portable terminal of the user, and a receipt image captured by the portable terminal of the user.

The consumption pattern analyzing unit may determine the location of the image or text including the consumption pattern analysis basis information, extract the text based on OCR (Optical Character Recognition), sort the text based on the Divided line algorithm , Classifying the text into meaningful units by a character classification algorithm, and based on the cross-correlation of the semantic units classified through the character classification algorithm, .

Wherein the consumption pattern analyzer performs pre-processing for extracting a keyword for consumption pattern analysis from the consumption pattern analysis basis information based on a preprocessing procedure, extracts the keyword based on a keyword extraction procedure, It is possible to perform the consumption pattern analysis by classifying the keywords by performing the filtering on the keywords, and store the result of the consumption pattern analysis based on the personalization DB implementation procedure.

A consumption pattern analysis and marketing system using a beacon according to an embodiment of the present invention includes marketing information for generating marketing information including customized goods matching the consumption pattern of the user based on the analysis result of the consumption pattern And a generating unit.

The system for analyzing and analyzing a consumption pattern using a beacon according to an embodiment of the present invention transmits the marketing information to an affiliate terminal associated with the POS system when the user revisits the affiliate shop, When the beacon signal includes positional information of a customized merchandise corresponding to the consumption pattern of the user by referring to the customer information database of the merchant terminal storing the merchandise-specific location information, the beacon signal is received, And a customized management unit for displaying a location on the screen of the portable terminal of the user.

The customized management unit accumulates a time when the user's portable terminal recognizes the merchant using the beacon signal and provides a discount event for the customized merchandise based on the accumulated time and the payment amount through the POS system can do.

According to another aspect of the present invention, there is provided a method of analyzing and marketing a consumption pattern using a beacon, the method comprising: receiving a beacon signal from a beacon module built in a POS system installed in a merchant; Recognizing, at the transaction information acquisition unit of the consumption pattern analysis and marketing system, the franchisee where the POS system is installed using the beacon signal; Acquiring transaction information related to the franchisee from the POS system upon completion of payment through the POS system, in the transaction information acquisition unit; And a consumption pattern analyzing unit of the consumption pattern analyzing and marketing system, analyzing the consumption pattern of the user using the transaction information.

Recognizing the franchisee may include: determining a location of the portable terminal of the user based on a signal strength of the beacon signal; And recognizing the franchisee as a franchisee where the user is located if the location of the portable terminal is within a predetermined effective range.

Wherein the step of acquiring the transaction information includes: receiving, when the settlement is completed, an agreement message regarding acquisition of the transaction information from the POS system; And receiving the transaction information from the POS system when the agreement message is transmitted to the POS system including the agreement sign.

Analyzing the consumption pattern includes transmitting the transaction information to a server through an application installed in the portable terminal of the user; And receiving the analysis result of the consumption pattern for the transaction information from the server through a pattern analysis based on the pattern analysis algorithm of the server.

The method of analyzing and marketing a consumption pattern using a beacon according to an embodiment of the present invention is characterized in that in the consumption pattern analysis and marketing information generation unit of the marketing system, and generating marketing information including customized goods.

The method of analyzing and marketing a consumption pattern using a beacon according to an embodiment of the present invention is characterized in that, in the customization management unit of the consumption pattern analysis and marketing system, when the user revisits the merchant, To an affiliated merchant terminal to be linked; And in the customized management unit, the POS system refers to the customer information database of the merchant terminal storing the location information for each product, and transmits the beacon signal including the location information of the customized merchandise corresponding to the consumption pattern of the user to the beacon signal And receiving the beacon signal and displaying the display position of the customized merchandise on the screen of the portable terminal of the user.

According to another aspect of the present invention, there is provided a method for analyzing and marketing a consumption pattern using a beacon, the method comprising the steps of: accumulating time at which the user's portable terminal perceives the merchant using the beacon signal; And providing the discount event for the customized merchandise based on the accumulated time and the payment amount through the POS system in the customized management section.

The details of other embodiments are included in the detailed description and the accompanying drawings.

According to an embodiment of the present invention, consumers' consumption patterns can be analyzed using a beacon signal and utilized for marketing.

According to an embodiment of the present invention, there is no need to input enormous capital power to construct a platform infrastructure for analyzing and marketing consumption patterns by utilizing beacon signals received from a POS system installed at an affiliated store, Consumption patterns can be analyzed and the results can be used for marketing.

1 is a diagram illustrating a network configuration for implementing a consumption pattern analysis and marketing system using a beacon according to an embodiment of the present invention.
2 is a block diagram illustrating a consumption pattern analysis and marketing system using a beacon according to an embodiment of the present invention.
3 is a block diagram illustrating a consumption pattern analysis and marketing system using a beacon according to another embodiment of the present invention.
4 to 7 are flowcharts for explaining a consumption pattern analysis and marketing method using a beacon according to an embodiment of the present invention.
8 is a flowchart illustrating a consumption pattern analysis and marketing method using a beacon according to another embodiment of the present invention.
9 is a flowchart illustrating a consumption pattern analysis and marketing method using a beacon according to another embodiment of the present invention.
10 is a flowchart illustrating an operation of the consumption pattern analyzer according to the embodiment of the present invention.
11 is a flowchart illustrating a character recognition method according to an embodiment of the present invention.
12 is a conceptual diagram illustrating a consumption pattern analysis engine according to an embodiment of the present invention.
13 is a conceptual diagram illustrating a concern extraction engine according to an embodiment of the present invention.
14 is a conceptual diagram showing a recommendation system according to an embodiment of the present invention.
15 is a conceptual diagram illustrating a financial consulting method according to an embodiment of the present invention.
16 is a conceptual diagram illustrating a financial consulting method according to an embodiment of the present invention.

BRIEF DESCRIPTION OF THE DRAWINGS The advantages and / or features of the present invention, and how to accomplish them, will become apparent with reference to the embodiments described in detail below with reference to the accompanying drawings. It should be understood, however, that the invention is not limited to the disclosed embodiments, but is capable of many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, To fully disclose the scope of the invention to those skilled in the art, and the invention is only defined by the scope of the claims. Like reference numerals refer to like elements throughout the specification.

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

1 is a diagram illustrating a network configuration for implementing a consumption pattern analysis and marketing system using a beacon according to an embodiment of the present invention.

Referring to FIG. 1, the POS system 110 generates a beacon signal through a Bluetooth and a Wi-Fi network. When the POS system 110 obtains the consent of the user 125 from the portable terminal 120, the POS system 110 transmits transaction information such as receipt content, transaction time, purchase price, and merchant address to the portable terminal 120.

The portable terminal 120 may be equipped with a consumption pattern analysis and marketing system (see 200 in FIG. 2 and 300 in FIG. 3) using a beacon according to an embodiment of the present invention, Can be analyzed and used for marketing.

That is, the portable terminal 120 receives the beacon signal from the POS system 110 and recognizes the merchant installed the POS system 110 using the received beacon signal. The portable terminal 120 transmits the transaction information received from the POS system 110 to the server 130 through an application installed therein.

The portable terminal 120 may receive the analysis result of the consumption pattern of the transaction information from the server 130. [ The portable terminal 120 may generate marketing information including a customized product corresponding to the consumption pattern of the user 125 using the analysis result of the consumption pattern.

Meanwhile, the portable terminal 120 may receive a cash receipt based on the receipt content of the transaction information. As described above, in this embodiment, receipt paper is removed using a beacon technology and managed by a mobile, so that waste of paper can be eliminated and convenience of the customer can be improved.

The server 130 receives the transaction information through the application installed in the portable terminal 120 and stores the received transaction information in the database 135. The server 130 analyzes the consumption pattern of the transaction information using a pattern algorithm. Here, since the pattern algorithm is a well-known technique generally used for analysis of consumption patterns, a detailed description thereof will be omitted.

The server 130 transmits the analysis result 140 of the consumption pattern to the portable terminal 120. The server 130 may generate marketing information including a customized product corresponding to the consumption pattern of the user 125 using the analysis result of the consumption pattern. The server 130 may store the generated marketing information in the database 135. At this time, the marketing information can be matched and stored for each user, and can be utilized for marketing through sharing with other servers.

2 is a block diagram illustrating a consumption pattern analysis and marketing system using a beacon according to an embodiment of the present invention.

1 and 2, a consumption pattern analysis and marketing system 200 using a beacon according to an embodiment of the present invention includes a beacon signal receiving unit 210, a transaction information obtaining unit 220, a consumption pattern analyzing unit 230, a marketing information generation unit 240, and a control unit 250.

The beacon signal receiving unit 210 receives a beacon signal from the beacon module built in the POS system 110 installed at the merchant. Here, the beacon signal is a reference for indicating a location, and communication technologies such as LTE and Wi-Fi may be linked to the information service. The beacon signal may be classified into a low frequency beacon, an LED beacon, a Wi-Fi beacon, and a Bluetooth beacon according to a method of transmitting a signal. In this embodiment, among the beacon signals, a Bluetooth beacon based on the Bluetooth 4.0 LE technology is used.

The transaction information acquisition unit 220 recognizes the merchant installed the POS system 110 using the beacon signal. The transaction information acquisition unit 220 may determine the position of the portable terminal 120 of the user 125 based on the signal strength of the beacon signal and determine whether the position of the portable terminal 120 is valid It is possible to judge whether or not it is within the range.

That is, the transaction information obtaining unit 220 obtains position information corresponding to the beacon signal received from the POS system 110 by referring to the matching table stored with matching position information for each signal strength range of the beacon signal , And if it is determined that the portable terminal 120 is located within the predetermined effective range based on the position information, the corresponding franchisee can be recognized as the franchisee where the user 125 is located.

The transaction information acquisition unit 220 acquires transaction information related to the franchisee from the POS system 110 upon completion of payment through the POS system 110. [ Here, payment through the POS system 110 may be performed offline by the user 125 or may be performed online (mobile) by the portable terminal 120.

At this time, the transaction information acquiring unit 220 may further optionally acquire the consent of the user 125 before acquiring transaction information from the POS system 110. The transaction information acquisition unit 220 may receive an agreement message regarding acquisition of the transaction information from the POS system 110 upon completion of payment through the POS system 110. [

If the agreement sign is input through the input interface of the portable terminal 120 as the user 125 agrees, the transaction information acquisition unit 220 includes the agreement sign in the agreement message To the POS system 110. The POS system 110 may confirm the sign included in the agreement message and then transmit the transaction information to the mobile terminal 120. [ Accordingly, the transaction information acquisition unit 220 can receive the transaction information from the POS system 110. [

Here, the transaction information may include a receipt content, a transaction time, a purchase price, an affiliate shop address, and the like. In addition, the transaction information may further include all other information that the user 120 trades at the merchant.

The consumption pattern analyzing unit 230 analyzes the consumption pattern of the user using the transaction information. For this, the consumption pattern analyzer 230 may use the application installed in the portable terminal 120 of the user 125 and the server 130.

That is, the consumption pattern analyzer 230 transmits the transaction information to the server 130 through the application, and transmits the transaction information from the server 130 through the pattern analysis based on the pattern analysis algorithm of the server 130 And receive the analysis result 140 of the consumption pattern for the information. The analysis result 140 of the consumption pattern may be stored in the database 135 of the server 130 for each user 125.

Alternatively, the consumption pattern analyzer 230 may implement a pattern algorithm for analyzing the consumption pattern of the application itself, and obtain the analysis result of the consumption pattern for the transaction information using the pattern algorithm of the application have. The analysis results of the consumption patterns obtained by using the application may be transmitted to the server 130 and stored in the database 135 for each user 125.

The marketing information generating unit 240 may generate marketing information including customized goods matching the consumption pattern of the user 125 based on the analysis result of the consumption pattern.

Here, the marketing information may be transmitted to the server 130 through the application and stored in the database 135 for each user 125. In addition, the marketing information may be transmitted to each company under the agreement of each user 125 and utilized as marketing data.

The control unit 250 may be a consumption pattern analyzing and marketing system 200 using a beacon according to an embodiment of the present invention, that is, the beacon signal receiving unit 210, the transaction information obtaining unit 220, (230), the marketing information generation unit (240), and the like.

3 is a block diagram illustrating a consumption pattern analysis and marketing system using a beacon according to another embodiment of the present invention.

1 and 3, a consumption pattern analysis and marketing system 300 using a beacon according to another embodiment of the present invention includes a beacon signal receiving unit 310, a transaction information obtaining unit 320, a consumption pattern analyzing unit 330, a marketing information generation unit 340, a customized management unit 350, and a control unit 360.

The beacon signal receiving unit 310 receives a beacon signal from the beacon module built in the POS system 110 installed at the merchant. Here, the beacon signal is a reference for indicating a location, and communication technologies such as LTE and Wi-Fi may be linked to the information service. The beacon signal may be classified into a low frequency beacon, an LED beacon, a Wi-Fi beacon, and a Bluetooth beacon according to a method of transmitting a signal. In this embodiment, among the beacon signals, a Bluetooth beacon based on the Bluetooth 4.0 LE technology is used.

The transaction information acquisition unit 320 recognizes the merchant installed the POS system 110 using the beacon signal. The transaction information acquisition unit 320 may determine the position of the portable terminal 120 of the user 125 based on the signal strength of the beacon signal and determine whether the position of the portable terminal 120 is valid It is possible to judge whether or not it is within the range.

That is, the transaction information acquiring unit 320 acquires position information corresponding to the beacon signal received from the POS system 110 by referring to the matching table in which the position information is matched and stored according to the signal strength range of the beacon signal , And if it is determined that the portable terminal 120 is located within the predetermined effective range based on the position information, the corresponding franchisee can be recognized as the franchisee where the user 125 is located.

The transaction information obtaining unit 320 obtains transaction information related to the franchisee from the POS system 110 when the settlement through the POS system 110 is completed. Here, payment through the POS system 110 may be performed offline by the user 125 or may be performed online (mobile) by the portable terminal 120.

At this time, the transaction information obtaining unit 320 may further optionally obtain the agreement of the user 125 before obtaining the transaction information from the POS system 110. [ For this, the transaction information acquisition unit 320 may receive an agreement message regarding acquisition of the transaction information from the POS system 110 upon completion of payment through the POS system 110.

When the agreement sign is input through the input interface of the portable terminal 120 as the user 125 agrees, the transaction information acquisition unit 320 includes the agreement sign in the agreement message To the POS system 110. The POS system 110 may confirm the sign included in the agreement message and then transmit the transaction information to the mobile terminal 120. [ Accordingly, the transaction information acquisition unit 320 can receive the transaction information from the POS system 110. [

The consumption pattern analyzer 330 analyzes the consumption pattern of the user using the transaction information. For this, the consumption pattern analyzer 330 may use the application installed in the portable terminal 120 of the user 125 and the server 130.

That is, the consumption pattern analyzer 330 transmits the transaction information to the server 130 through the application, and transmits the transaction information from the server 130 through the pattern analysis based on the pattern analysis algorithm of the server 130 And receive the analysis result 140 of the consumption pattern for the information. The analysis result 140 of the consumption pattern may be stored in the database 135 of the server 130 for each user 125.

Alternatively, the consumption pattern analyzer 330 may implement the pattern algorithm for analyzing the consumption pattern of the application itself, and obtain the analysis result of the consumption pattern for the transaction information using the pattern algorithm of the application have. The analysis results of the consumption patterns obtained by using the application may be transmitted to the server 130 and stored in the database 135 for each user 125.

The marketing information generating unit 340 may generate marketing information including customized goods matching the consumption pattern of the user 125 based on the analysis result of the consumption pattern.

The customized management unit 350 may transmit the marketing information to an affiliate terminal (not shown) linked to the POS system 110 when the user 125 revisits the affiliated shop. Here, whether the user 125 has visited the merchant for the first time, whether the user has visited the merchant for the first time, and how many times the user 125 has visited the merchant can be recognized through connection with the database 135 of the server 130.

The POS system 110 refers to the customer information database (not shown) of the merchant terminal storing the position information for each product, and transmits the position information of the customized product matching the consumption pattern of the user 125 to the beacon signal To the portable terminal (120).

Accordingly, the customized management unit 350 receives the beacon signal from the POS system 110, extracts the location information from the beacon signal, and transmits the beacon signal to the user 125 using the extracted location information The display position of the customized merchandise can be displayed on the screen of the terminal 120.

Meanwhile, the customized management unit 350 accumulates the time when the portable terminal 120 of the user 125 recognizes the merchant using the beacon signal, and stores the accumulated time and the payment amount through the POS system A discount event for the customized product can be provided based on the discount event.

That is, the customized management unit 350 stores a discount event for the customized merchandise corresponding to the consumption pattern of the user 125 through a cumulative number of times the user visited, a time period, etc., in addition to the payment amount of the user 125 at the merchant . At this time, the accumulated information is calculated by the beacon signal and then stored in the database 135 of the server 130 for each user 125, and may be accumulated and stored as a total value.

The customized management unit 350 generates a promotional material related to an affiliated store installed with the POS system 110 with the consent of the customer 125 through the portable terminal 120 and transmits the generated promotional material to the SNS (Social Network Service) to the portable terminal of another user selected from the phone number stored in the portable terminal 120. [

At this time, the customized management unit 350 stores the information of other users who have shared the promotional materials in the database 135 of the server 130 with the individual's consent, The user who has shared the advertisement through the signal is notified and the other user who has shared the advertisement through the POS system 110 completes the payment, When providing a discount event for a customized product matching the pattern, the weight for calculating the discount amount can be determined in consideration of the number of visitors, the number of visits, the amount of payment, and the number of settlements.

The control unit 360 may control the consumption pattern analyzing and marketing system 300 using the beacon according to another embodiment of the present invention, that is, the beacon signal receiving unit 310, the transaction information obtaining unit 320, The marketing information generating unit 340, the customized managing unit 350, and the like.

4 to 7 are flowcharts for explaining a consumption pattern analysis and marketing method using a beacon according to an embodiment of the present invention.

1, 2 and 4, in step 410, the beacon signal receiving unit 210 of the consumption pattern analysis and marketing system 200 receives a beacon signal from a beacon module built in a POS system 110 installed in a merchant shop, Signal.

Next, in step 420, the transaction information acquisition unit 220 of the consumption pattern analysis and marketing system 200 recognizes the merchant installed the POS system 110 using the beacon signal.

1, 2 and 5, in step 510, the transaction information obtaining unit 220 obtains the beacon signal of the user 125 based on the signal strength of the beacon signal, Locate the location. Thereafter, in step 520, the transaction information acquisition unit 220 determines whether the portable terminal 120 is within an effective range. If it is determined that the portable terminal 120 is within the effective range (YES in step 520), in step 530, the transaction information acquiring unit 220 acquires the affiliated merchant from the merchant . On the other hand, if it is determined that the portable terminal 120 is not located within the valid range (No in step 520), the transaction information acquisition unit 220 returns to step 510.

Next, referring again to FIG. 1, FIG. 2 and FIG. 4, in step 430, the transaction information obtaining unit 220 checks whether settlement is completed through the POS system 110. FIG.

If it is determined through the POS system 110 that the payment has been completed (YES in step 430), the transaction information acquiring unit 220 acquires the transaction information from the POS system 110 in step 440 And acquires transaction information.

1, 2, and 6, in step 610, the transaction information acquisition unit 220 receives an agreement message regarding acquisition of the transaction information from the POS system 110. [ Thereafter, in step 620, the transaction information acquisition unit 220 confirms whether the user 125 agrees. If it is determined that the user 125 agrees (YES in step 620), in step 630, the transaction information acquisition unit 220 transmits the agreement message to the POS system 110, Lt; / RTI > In step 640, the transaction information acquisition unit 220 receives the transaction information from the POS system 110. On the other hand, if it is determined that the user 125 does not agree ("No" direction of 620), the transaction information acquisition unit 220 ends the present embodiment.

If the settlement is not completed through the POS system 110 ("NO" in step 430), the transaction information obtaining unit 220 obtains the settlement information Wait until completion.

Next, in step 450, the consumption pattern analysis unit 230 of the consumption pattern analysis and marketing system 200 analyzes the consumption pattern of the user using the transaction information.

1, 2, and 7, in step 710, the consumption pattern analyzer 230 transmits the transaction information to the server 125 through an application installed in the mobile terminal 120 of the user 125. [ (130). Thereafter, in step 720, the server 130 analyzes the consumption pattern for the transaction information based on the pattern analysis algorithm of the server 130. [ In step 730, the server 130 transmits the analysis result 140 of the consumption pattern to the portable terminal 120 of the user 125. Thereafter, in step 740, the consumption pattern analyzer 230 receives the analysis result of the consumption pattern from the server 130.

8 is a flowchart illustrating a consumption pattern analysis and marketing method using a beacon according to another embodiment of the present invention.

1, 3, and 8, in step 810, the beacon signal receiving unit 310 of the consumption pattern analysis and marketing system 300 receives a beacon signal from the beacon module built in the POS system 110 installed in the merchant, .

Next, in step 820, the transaction information acquisition unit 320 of the consumption pattern analysis and marketing system 300 recognizes the merchant installed the POS system 110 using the beacon signal.

Next, when the settlement is completed through the POS system 110 (in the "YES" direction of 830), the transaction information obtaining unit 320 obtains a transaction related to the merchant from the POS system 110 in step 840 Information is acquired. On the other hand, if settlement is not completed through the POS system 110 ("NO" in 830), the transaction information acquisition unit 320 waits until settlement is completed. At this time, the waiting time for completion of payment may be limited to the time during which the merchant is recognized.

Next, in step 850, the consumption pattern analysis unit 330 of the consumption pattern analysis and marketing system 300 analyzes the consumption pattern of the user using the transaction information.

Next, in step 860, the marketing information generation unit 340 of the consumption pattern analysis and marketing system 300 generates a customized product corresponding to the consumption pattern of the user 125 based on the analysis result of the consumption pattern goods. < / RTI >

In step 870, the customized management unit 350 of the consumption pattern analysis and marketing system 300 transmits the marketing information to the POS system 110 when the user 125 revisits the merchant. To the affiliate terminal connected to the affiliate terminal.

Next, in step 880, the POS system 110 refers to the customer information database of the merchant terminal storing the location information of each merchandise to obtain the location information of the custom merchandise according to the consumption pattern of the user 125 And transmits the beacon signal.

Next, in step 890, the customized management unit 350 receives the beacon signal and displays the display position of the customized product on the screen of the portable terminal 120 of the user 125. [

9 is a flowchart illustrating a consumption pattern analysis and marketing method using a beacon according to another embodiment of the present invention.

1, 3, and 9, in step 910, the beacon signal receiving unit 310 of the consumption pattern analysis and marketing system 300 receives a beacon signal from the beacon module built in the POS system 110 installed in the merchant, .

Next, in step 920, the transaction information acquisition unit 320 of the consumption pattern analysis and marketing system 300 recognizes the merchant installed the POS system 110 using the beacon signal.

Next, when the settlement is completed through the POS system 110 (the "Yes" direction of 930), the transaction information obtaining unit 320 obtains the transaction related to the merchant from the POS system 110 in step 940 Information is acquired. On the other hand, if settlement is not completed through the POS system 110 ("NO" direction of 930), the transaction information acquisition unit 320 waits until the settlement is completed. At this time, the waiting time for completion of payment may be limited to the time during which the merchant is recognized.

Next, in step 950, the consumption pattern analysis unit 330 of the consumption pattern analysis and marketing system 300 analyzes the consumption pattern of the user using the transaction information.

Next, in step 960, the marketing information generating unit 340 of the consumption pattern analyzing and marketing system 300 generates a customized product corresponding to the consumption pattern of the user 125 based on the analysis result of the consumption pattern goods. < / RTI >

Next, in step 970, the customized management unit 350 of the consumption pattern analysis and marketing system 300 determines the time when the portable terminal 120 of the user 125 recognizes the merchant using the beacon signal .

Next, in step 980, the customized management unit 350 provides a discount event for the customized merchandise based on the accumulated time and the payment amount through the POS system 110. [

FIG. 10 is a flowchart showing the operation of the consumption pattern analyzing unit (refer to 230 in FIG. 2) according to the embodiment of the present invention.

Referring to FIG. 10, information for consumption pattern / interest analysis is received from the user device (step 1010).

Hereinafter, the information for analyzing the user's consumption pattern can be expressed by the term of consumption pattern analysis basis information, and the information for analyzing the interest can be expressed by the term of interest analysis basis information. The consumption pattern analysis basis information may include consumption pattern analysis keywords for analysis of consumption patterns, and the interest analysis basis information may include interest analysis keywords for analysis of interest. Consumption pattern analysis may be overlapped in a certain part of the basis information and interest analysis basis information.

For example, a short message service (SMS) that includes payment related information of a user transmitted or received through a user device may be consumption pattern analysis based information. In addition, the social network service (SNS) -based information including the information about the user's interest may be the interest analysis basis information. Also, the SMS including the payment related information may be used as interest analysis base information.

Also, the image captured through the camera image pickup unit of the user apparatus can be used as consumption pattern analysis basis information and interest analysis basis information. For example, in order to analyze the consumption pattern of the user, the camera image pickup section can capture a receipt or a record (for example, a household part) for analysis of the consumption pattern of the user, , And can be used as interest analysis basis information.

The consumption pattern analysis basis information such as SNS and SMS does not require separate character recognition for extracting text data for information processing since characters are already text data. However, for the captured image including the consumption pattern analysis basis information, Character recognition is required for extraction into data.

Next, the consumption pattern analysis basis information / interest analysis basis information is extracted through character recognition (step 1020).

Consumption pattern-based information / interest analysis-based information can be extracted as text data from the captured image including the consumption pattern-based information / interest analysis basis information. Analysis of Consumption Patterns through Character Recognition In order to extract the basis information / interest analysis basis information, character pattern position determination algorithm, optical character recognition (OCR), divided line algorithm, character classification algorithm and cross-correlation can be used have. Extraction of the consumption pattern analysis basis information / interest analysis basis information through character recognition will be described later in detail.

Next, the extracted consumption pattern analysis basis information / interest analysis basis information is judged as error and error correction procedure is performed (step 1030).

Analysis of consumption pattern of user extracted from the extracted consumption pattern analysis basis information / interest analysis basis information, analysis of whether there is unnecessary information for analysis of interest and / or whether there is a term to be brought in can be performed. If the extracted consumption pattern analysis basis information / interest analysis base information exists / unnecessary terms exist, the correction procedure for the coming / unnecessary term can be performed. Unnecessary terms can be removed, and terminating terms can be corrected. Corrections to the terms in which they come in can be made on the basis of similar terms.

Next, based on the extracted consumption pattern analysis basis information / interest analysis basis information, the user's consumption pattern is analyzed and the interest of the user is extracted (step 1040).

Analysis of the user's consumption pattern can be performed through pre-processing / keyword extraction, subject filtering, etc. using the consumption pattern analysis engine based on the consumption pattern analysis keyword included in the extracted consumption pattern analysis basis information.

Extraction of interest of the user can be performed through pre-processing / keyword extraction, subject filtering, etc. using the interest extraction engine based on the interest analysis keywords included in the extracted interest analysis basis information.

Hereinafter, in the embodiment of the present invention, it is assumed that a concern extraction engine and a consumption pattern analysis engine are separately implemented for the sake of convenience of description. However, the interest extraction engine analyzes the interest of the user as a recommendation engine character mining processor, May be implemented as part of an engine.

11 is a flowchart illustrating a character recognition method according to an embodiment of the present invention.

FIG. 11 discloses a method for extracting consumption pattern based information / interest analysis basis information as text data from a captured image including consumption pattern based information / interest analysis based information.

Referring to FIG. 11, first, in order to perform a character recognition procedure, a position of a character pattern in a captured image is determined (step 1110).

The position of the text object included in the sensed image is preferentially determined in order to extract only the object image corresponding to the text in the sensed image including the consumption pattern based information / interest analysis basis information. First, we can separate the object and the background, and compare the image corresponding to the object with the template image for text such as Korean, English, and so on. An object whose similarity to the template image is equal to or higher than the threshold value may be determined as a text object. Based on the location information of the determined text object, text corresponding to the text object can be extracted using OCR.

Next, the text is extracted based on the OCR (step 1120).

Text can be extracted through an OCR-based recognition procedure on a text object. Through OCR, it can be determined whether the text object is any character, and the text object can be extracted as text information from the image information.

Next, the text is aligned based on the Divided line algorithm (step 1130).

The extracted text can be sorted by the Divided line algorithm.

Next, the extracted characters are classified into meaningful units for analysis (step 1140).

Significant character units (for example, nouns, verbs, etc.) in sorted text can be classified and extracted by a character classification algorithm.

Next, based on the cross-correlation of character units classified through the character classification algorithm, consumption pattern based information. Character units that may be used as interest analysis basis information may be extracted (step 1150).

Consumption pattern basis information. Based on cross-correlation of words (or terms) contained in the stored DB, words and terms that can be used as interest analysis bases, and character units classified through the character classification algorithm. A character unit likely to be used as interest analysis basis information can be extracted.

12 is a conceptual diagram illustrating a consumption pattern analysis engine according to an embodiment of the present invention.

12, the consumption pattern analysis engine 1200 may include a pre-processing unit 1210, a keyword extracting unit 1220, a subject filtering unit 1230, and a personalization DB unit 1240.

The preprocessing unit 1210 may be implemented to perform a preprocessing procedure for deriving a key keyword for consumption pattern analysis. For example, the preprocessing unit 1210 can extract key keywords for consumption pattern analysis through preprocessing techniques such as stopword and stemming.

The keyword extracting unit 1220 may be implemented after the preprocessing to extract key keywords of the consumption pattern of the user. The keyword extracting unit 1220 can extract keywords based on taxonomy analysis, thesaurus processing, and semantic extraction.

The subject filtering unit 1230 may be implemented to filter the consumption pattern keywords extracted by the keyword extracting unit 1220. The subject filtering unit 1230 may classify the consumption pattern keywords into categories by considering the subject category. For example, the subject-specific filtering unit 1230 may classify consumption pattern keywords by category using collaboration-based filtering.

The personalization DB unit 1240 may be implemented to store the consumption pattern analysis results classified by the consumption pattern analysis engine in the database. For example, the personalization DB unit 1240 may store the consumption pattern analysis results in a database using a big data store, MongoDB, Solr, and the like.

13 is a conceptual diagram illustrating a concern extraction engine according to an embodiment of the present invention.

13, the interest extraction engine 1300 may include a pre-processing unit 1310, a keyword extracting unit 1320, a subject filtering unit 1330, and a recommendation engine unit 1340.

The preprocessing unit 1310 may be implemented to perform a preprocessing procedure for deriving a core keyword for interest extraction. For example, the preprocessing unit 1310 can extract key keywords for interest extraction through a preprocessing technique such as stopword and stemming.

The keyword extracting unit 1320 may be implemented after the preprocessing to extract a core keyword for extracting a user's interest. The keyword extracting unit 1320 can extract keywords based on taxonomy analysis, thesaurus processing, and semantic extraction.

The subject filtering unit 1330 may be implemented to filter the interest keywords extracted by the keyword extracting unit 1320. The subject filtering unit 1330 may classify the interest keywords into categories by considering the subject category. For example, the thematic filtering unit 1330 may classify interest keywords into categories using collaboration-based filtering.

The recommendation engine unit 1340 may be implemented to determine recommended content according to interest based on a recommendation algorithm according to interest keywords classified by category and provide the recommended content to the user.

14 is a conceptual diagram showing a recommendation system according to an embodiment of the present invention.

In Fig. 14, a method of analyzing a user's interest based on receipt collection and a method of determining a recommended content are illustrated.

Referring to FIG. 14, the interest analysis engine may analyze a user's interest based on collaborative filtering and provide recommendation contents to a user.

First, the frequency of sales classification shown on the receipt can be seen as an individual's preference for a particular field. If the sales industry d is represented by a vector such as U d = {U 1d, U 2d, ..., U nd}, then U id represents the number of sales businesses purchased by the i th user. The interest analysis engine can calculate a similarity measure between the sales industry purchased by the user and the other sales industry from this matrix and provide a ranked list of recommendations for the sales industry whose similar coefficient value exceeds the reference value.

According to the embodiment of the present invention, Pearson-like coefficients and cosine-like coefficients can be used to find the sales industry most similar to the sales industry. Equation (1) below is a mathematical expression for calculating Pearson-like coefficients, and Equation (2) below is a mathematical expression for calculating a cosine-like coefficient.

[Equation 1]

&Quot; (2) "

When we use the Pearson-like coefficient formula as below to measure the similarity between two retailers, i, j represents the sales industry of the receipt commonly purchased by the user u, and R u, i and R u, i, j represents the cumulative number expressing the preference of the sales industry of the user u for the user u, and R i and R j represent the average number of sales of the sales records of each of the two sales industries. R u represents the number of sales businesses of the average purchased receipt of user u.

The interest analysis engine can determine the industry of interest of the user and provide it to the user through the similar coefficient as described above.

15 is a conceptual diagram illustrating a financial consulting method according to an embodiment of the present invention.

Referring to FIG. 15, in the case of a product periodically purchased by a user or a service periodically provided by a user by analyzing a consumption pattern of a user, information for allowing a user to purchase and receive goods and services at an optimal price May be provided by the consumption pattern / interest analysis device.

For example, in the case of rice or water, which is a commodity purchased periodically by a user, the consuming pattern / interest analyzing apparatus provides the user with information on the purchasing cycle and purchase method for the commodity for reasonable purchasing by the user .

The consumption pattern / interest analyzing apparatus analyzes the purchase cycle of the article and can provide the user with information about the recommended website or the recommended offline mall, which can be purchased at the lowest cost before the expected purchase date of the article. In this case, the user can purchase the item through the recommendation website or the recommended offline mall, and in such a case, the amount for purchasing the user's corresponding item can be saved.

Likewise, the consumption pattern / interest analysis device may provide information for a user to receive service at a reasonable amount for the service periodically provided by the user.

The consumption pattern / interest analyzing device can collect information about a product or service provided in a web site or an offline mall and manage it as a database in order to provide purchase information for the product or service to the user. The consumption pattern / interest analyzing device receives the price information of the goods / service from the registered website and the offline mall, performs the lowest price analysis on the purchased goods of the user, and calculates the lowest price information of the purchased goods by the user, Can be predicted and provided.

16 is a conceptual diagram illustrating a financial consulting method according to an embodiment of the present invention.

16, a method of providing information on consumption patterns of a user by classifying goods and services purchased by a user by a consumption pattern / interest analyzing apparatus into categories is disclosed.

Referring to FIG. 16, the consumption pattern / interest analyzing apparatus can analyze a consumption pattern of a user based on a database for category classification. The goods / service and the price consumed by the user can be managed as one information, and the goods / service purchased by the user can be automatically classified according to the predetermined category.

For example, various categories such as a daily necessity category, a hobby category, a transportation category, and a billing category can be preset for analyzing a user's consumption pattern. These categories may be classified as goods or services purchased by the user in another category as an example.

The database may store words corresponding to each category, and the degree of similarity between the keywords extracted by the consumption pattern analysis engine and the respective categories may be calculated, and the category with the highest similarity may be determined as the category of the extracted keyword.

The goods or services purchased by the user can be extracted and managed together with the price information of the purchased goods or services, and the expenditure amount for each category can be calculated by the consumption pattern / interest analysis device.

Users can view the amount of spending by category and set the target spending amount for each category. For example, if $ 200 in the hobby category was used this month, you could set the target spend for the hobby category next month to $ 100. When a target spend amount is set for a particular category, the consumption pattern / interest analysis device continuously analyzes the expenditure in that category and can alert the user if the expenditure in the category approaches the target spend amount.

Embodiments of the present invention include computer readable media including program instructions for performing various computer implemented operations. The computer-readable medium may include program instructions, local data files, local data structures, etc., alone or in combination. The media may be those specially designed and constructed for the present invention or may be those known to those skilled in the computer software. Examples of computer-readable media include magnetic media such as hard disks, floppy disks and magnetic tape, optical recording media such as CD-ROMs and DVDs, magneto-optical media such as floppy disks, and ROMs, And hardware devices specifically configured to store and execute the same program instructions. Examples of program instructions include machine language code such as those produced by a compiler, as well as high-level language code that can be executed by a computer using an interpreter or the like.

While the present invention has been described in connection with what is presently considered to be practical exemplary embodiments, it is to be understood that the invention is not limited to the disclosed embodiments. Therefore, the scope of the present invention should not be limited to the described embodiments, but should be determined by the scope of the appended claims and equivalents thereof.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments, but, on the contrary, Modification is possible. Accordingly, the spirit of the present invention should be understood only by the appended claims, and all equivalent or equivalent variations thereof are included in the scope of the present invention.

110: POS system
120: portable terminal
125: User
130: Server
135: Database
140: Analysis of consumption patterns
210, 310: Beacon signal receiver
220, 320: transaction information acquisition unit
230, 330: consumption pattern analysis unit
240, 340: Marketing information generating unit
250, 360:
350: Customized management department
1210, 1310:
1220, 1320: a keyword extracting unit
1230 and 1330:
1240: Personalization DB part
1440: Recommended engine part

Claims

A beacon signal receiving unit for receiving a beacon signal from a beacon module incorporated in a POS system installed in a merchant;
A transaction information acquiring unit for recognizing the merchant installed in the POS system using the beacon signal and acquiring transaction information related to the merchant from the POS system upon completion of payment through the POS system; And
A consumption pattern analyzing unit for analyzing a consumption pattern of a user using the transaction information,
Wherein the beacon pattern includes a plurality of beacon patterns.

The method according to claim 1,
The transaction information acquisition unit
Recognizing the position of the portable terminal of the user based on the signal strength of the beacon signal and recognizing the franchisee as a franchisee where the user is located if the position of the portable terminal is within a predetermined effective range. Consumption pattern analysis and marketing system.

The method according to claim 1,
The transaction information acquisition unit
Receiving the transaction information from the POS system upon receipt of the transaction information from the POS system and transmitting the transaction information to the POS system by including the agreement sign in the agreement message; Consumption pattern analysis and marketing system using beacon.

The method according to claim 1,
The transaction information
A transaction time, a purchase price, and an address of a franchisee.

The method according to claim 1,
The consumption pattern analyzing unit
And transmits the transaction information to the server through the application installed in the portable terminal of the user and receives the analysis result of the consumption pattern for the transaction information from the server through the pattern analysis based on the pattern analysis algorithm of the server Consumption pattern analysis and marketing system using beacon.

The method according to claim 1,
The consumption pattern analyzing unit
Extracting consumption pattern analysis basis information including the transaction information based on character recognition as text information, and analyzing consumption patterns based on the extracted text information.

The method according to claim 6,
The consumption pattern analysis basis information includes
An SMS transmitted and received by the portable terminal of the user, an SNS connected by the portable terminal of the user, and a receipt image captured by the portable terminal of the user. .

The method according to claim 6,
The consumption pattern analyzing unit
Determining a location of an image or text including the consumption pattern analysis basis information, extracting the text based on OCR (Optical Character Recognition), sorting the text based on a Divided line algorithm, And extracting the consumption pattern analysis basis information as the text information based on a cross-correlation of the semantic units classified through the character classification algorithm Consumption pattern analysis and marketing system using beacon.

The method according to claim 6,
The consumption pattern analyzing unit
Processing for extracting keywords for consumption pattern analysis from the consumption pattern analysis basis information based on the preprocessing procedure, extracting the keywords based on the keyword extraction procedure, filtering based on the filtering procedure, And analyzing the consumption patterns by classifying the keywords into categories, and storing the results of the consumption pattern analysis based on the personalization DB implementation procedure.

The method according to claim 1,
A marketing information generating unit for generating marketing information including customized goods matching the consumption pattern of the user based on the analysis result of the consumption pattern,
Further comprising the steps of: receiving a beacon signal from the beacon;

11. The method of claim 10,
The POS system transmits the marketing information to the merchant terminal linked to the POS system when the user revisits the merchant store, and the POS system refers to the customer information database of the merchant terminal storing the merchandise- When the beacon signal includes location information of a customized product matching the consumption pattern of the user, the beacon signal is received and displayed on the screen of the portable terminal of the user,
Further comprising the steps of: receiving a beacon signal from the beacon;

12. The method of claim 11,
The customized management unit
The portable terminal of the user accumulates the time when the user recognizes the merchant using the beacon signal and provides a discount event for the customized merchandise based on the accumulated time and the payment amount through the POS system Consumption pattern analysis and marketing system using beacon.

Receiving a beacon signal from a beacon module built in a POS system installed at a merchant, in a beacon signal receiving unit of a consumption pattern analyzing and marketing system;
Recognizing, at the transaction information acquisition unit of the consumption pattern analysis and marketing system, the franchisee where the POS system is installed using the beacon signal;
Acquiring transaction information related to the franchisee from the POS system upon completion of payment through the POS system, in the transaction information acquisition unit; And
Analyzing a consumption pattern of a user using the transaction information in a consumption pattern analyzing unit of the consumption pattern analyzing and marketing system;
And a method for marketing and analyzing consumption patterns using a beacon.

14. The method of claim 13,
The step of recognizing the merchant
Determining a position of the portable terminal of the user based on a signal strength of the beacon signal; And
If the location of the mobile terminal is within a predetermined effective range, recognizing the franchisee as an affiliated franchisee where the user is located
And a method for marketing and analyzing consumption patterns using a beacon.

14. The method of claim 13,
The step of acquiring the transaction information
Upon completion of the payment, receiving an agreement message regarding acquisition of the transaction information from the POS system; And
Receiving the transaction information from the POS system when the POS system includes the agreement sign in the agreement message,
And a method for marketing and analyzing consumption patterns using a beacon.

14. The method of claim 13,
The step of analyzing the consumption pattern
Transmitting the transaction information to a server through an application installed in the portable terminal of the user; And
Receiving an analysis result of the consumption pattern for the transaction information from the server through pattern analysis based on the pattern analysis algorithm of the server
And a method for marketing and analyzing consumption patterns using a beacon.

14. The method of claim 13,
The marketing information generating unit of the consumption pattern analyzing and marketing system generates marketing information including customized goods matching the consumption pattern of the user based on the analysis result of the consumption pattern
The method of claim 1, further comprising:

18. The method of claim 17,
Transmitting the marketing information to an affiliate terminal associated with the POS system when the user revisits the affiliate shop in the customized management section of the consumption pattern analysis and marketing system; And
If the POS system transmits the beacon signal including the location information of the customized merchandise corresponding to the consumption pattern of the user with reference to the customer information database of the merchant terminal storing the merchandise information for each merchandise, Receiving the beacon signal and displaying the display position of the customized product on the screen of the portable terminal of the user
The method of claim 1, further comprising:

19. The method of claim 18,
Accumulating, at the customized management unit, a time at which the user recognizes the merchant using the beacon signal; And
Providing, at the customized management unit, a discount event for the customized merchandise based on the accumulated time and the payment amount through the POS system
The method of claim 1, further comprising: