KR20090001974A - System and method for sales forecasting by mobile rfid based statistical analysis - Google Patents

Abstract

A system for a sales forecast using statistical analysis based on a mobile RFID is provided to forecast a potential demand on a product using a RFID reader and a RFID tag in order to confirm purchase information. A system for a sales forecast using statistical analysis based on a mobile RFID comprises the following units. A RFID tag is adhered to a product(10). A mobile terminal(100) includes a RFID reader recognizing a tag ID recorded in a tag. A session managing unit(200) processes a RFID tag ID query from the mobile terminal. A RFID tag server(300) manages or updates RFID tag data. A storage DB(400) stores information searched from the session managing unit and the RFID tag server. A statistics collecting unit(500) collects statistics of a session ID, a time, a location about a product purchase and process making a graphic using the statistics.

Description

System and method for sales forecasting by mobile RFID based statistical analysis}

1 shows an overall schematic diagram of a product sales prediction system through mobile RFID based statistical analysis according to the present invention.

2 is a schematic configuration diagram of a session management unit in a product sales prediction system through statistical analysis based on mobile RFID according to the present invention.

3 is a schematic configuration diagram of a statistics generating unit in a product sales prediction system through mobile RFID based statistical analysis according to the present invention.

4 is a product sales prediction process through a mobile RFID based statistical analysis according to the present invention.

Figure 5 is a session creation process in the product sales prediction method through a mobile RFID based statistical analysis according to the present invention.

6 is a process of displaying a product list in a product sales prediction method through statistical analysis based on mobile RFID according to the present invention.

7 is an inquiry process of product detail information data in a product sales prediction method through mobile RFID based statistical analysis according to the present invention.

8 is a product registration process in the product sales prediction method through the mobile RFID-based statistical analysis according to the present invention.

9 is a session control transfer process in the product sales prediction method through the mobile RFID-based statistical analysis according to the present invention.

`` Explanation of symbols for main parts of drawings ''

10: RFID tag product 20: Manager terminal

30: checkout RFID reader 100: mobile terminal

200: session management unit 300: RFID server

400: storage server 500: statistics generator

The present invention relates to a product sales prediction system and method through statistical analysis based on mobile RFID, and more particularly, by providing various types of information using RFID to a store such as a large goods seller, etc. The present invention relates to a product sales prediction system and method using a mobile RFID-based statistical analysis that makes statistically predictable sales trend.

Recently, an information analysis system has been developed that can collect and analyze information out of restricted environment or space by using RFID, a core technology of ubiquitous society.

RFID (Radio Frequency Identification) refers to a technology that automatically recognizes data stored in a tag with a microchip embedded in a reader in a non-contact manner using radio frequency.

RFID tags can be attached wherever necessary and through this, not only basic object recognition information, but also situation information and environment information can be recognized.

The RFID system consists of an RFID tag, a reader, and a host supporting the reader.

The RFID tag includes a memory and an antenna and performs a function of transmitting information stored in the memory to the RFID reader.

RFID tags vary in size and shape, and are classified into passive tags and active tags depending on whether they are powered or not. ) And microwave (2.45 GHz).

On the other hand, in stores such as large commodity sellers it is necessary to determine the possibility of selling various types of goods and the current trend in real time, and to build the identified information as statistical data to predict the goods sales trend and growth potential judgment.

Conventionally, the existing system can be statistically processed even with the existing system for the goods sold in the store, but it could not provide information on the potential purchase degree of the unsold or interested goods.

Accordingly, when attached to an item using the RFID tag, when the buyer inquires the price of the item or confirms the purchase information, the purchase intention is identified to obtain potential demand statistical information or the actual purchase statistics and the buyer's interest according to the item arrangement. There is a further need for an RFID information system that can obtain such data as data.

The present invention has been made to solve the above problems, by providing a variety of information using a mobile RFID product through a mobile RFID-based statistical analysis to statistically predict the sales trend for various products to the seller To provide a sales forecasting system and method.

In addition, when the purchaser inquires the product price or confirms the purchase information by the RFID reader and the RFID tag, the purchase intention is identified to obtain statistical information as potential demand, or the actual purchase statistics according to the product placement, and the buyer's interest. An object of the present invention is to provide a product sales forecasting system and method through statistical analysis based on mobile RFID to obtain statistical data.

In order to achieve the above object, a merchandise sales prediction system using a statistical analysis based on mobile RFID according to the present invention, a product having an RFID tag recorded and responding to a radio frequency, receives an RFID signal from an RFID tag of the product. A mobile terminal equipped with an RFID reader for recognizing a tag ID recorded in the tag, to manage the user session of the mobile terminal using the RFID reader, to store the session history and to process the RFID tag ID query from the mobile terminal A session management unit, an RFID tag server storing data recorded in the RFID tag, transmitting information retrieved about the RFID tag ID requested from the session management unit to the session management unit, and updating or managing the RFID tag data; And store the information retrieved from the RFID tag server Comprises extracting data from the storage DB, and the storage DB, and a session ID, time, location information, and statistics processing unit statistically processing the generated graphics.

In addition, in the product sales prediction system through the mobile RFID-based statistical analysis according to the present invention, the session management unit, by generating a session for each user using a mobile terminal equipped with an RFID reader to process data query, data recording A session generation module for processing, a query processing module for processing a query according to tag data of a product received by the RFID reader, a product information cache for storing a list of product tags queried in the same session, and a product value of a product at a final checkout It is characterized in that it comprises a final calculation processing module, and a data storage processing module for storing data necessary for processing the statistical data.

In addition, in the product sales prediction system through a statistical analysis based on mobile RFID according to the present invention, the RFID tag data, the detailed information of the product, the mobile terminal ID including the RFID reader unit, the position of the product placement, the position of the terminal location It is characterized by including information.

In addition, in the product sales prediction system through the mobile RFID-based statistical analysis according to the present invention, the statistics generator, for each user using a mobile terminal having a data extraction processing module, RFID reader for extracting data from the storage DB A mobile terminal location having a session ID processing module for managing one generated session ID, a time information processing module for processing various time information including session processing time, tag data inquiry time, product placement time, and an RFID reader, A location information processing module for processing location information including a product placement location, a statistics processing module for statistically processing the data or the information, and a GUI module for displaying data processed by the statistical processing module will be.

On the other hand, the merchandise sales prediction method through the mobile RFID-based statistical analysis according to the present invention, (a) a mobile terminal having an RFID reader to create a session in the session management unit according to the start of the shopping session and is given a session ID, ( b) the RFID reader reading an RFID tag list from a tag attached to a product and displaying a product list on the screen of the mobile terminal, (c) querying data for detailed information of a product selected from the product list, (d) the RFID reader of the merchandise checkout terminal taking control of the session from the RFID reader of the mobile terminal to terminate the session for the mobile terminal ID, process the calculation for the purchased merchandise, and storing the calculated detail data in the storage DB And (e) generating statistical data about the customer using the session ID as an index using the data stored in the storage DB. Include.

In addition, in the product sales prediction method through the statistical analysis based on mobile RFID according to the present invention, the step (a), (a-1) by generating a shopping start signal in a mobile terminal having an RFID reader of the mobile terminal Notifying the device ID of the device ID, (a-2) checking whether there is a session established by the device ID, (a-3) the ID established in step (a-2) Maintaining an existing session if not already present and notifying the mobile terminal of the corresponding session ID; and (a-4) if there is no device ID established in step (a-2), the session manager generates a new session. And notifying the RFID tag server of whether the device ID is valid, receiving an acknowledgment, and notifying the session ID to the mobile terminal.

In addition, in the product sales prediction method through statistical analysis based on mobile RFID according to the present invention, the step (b), (b-1) the mobile terminal detects the RFID tag value from the RFID tag of the product to the session management unit Transmitting, (b-2) the session manager transmitting the transmitted RFID tag value to an RFID tag server, (b-3) the RFID tag server searches for tag information corresponding to the tag value (B-4) transmitting the retrieved tag information to the mobile terminal and displaying the retrieved tag information on the mobile terminal.

In addition, in the product sales prediction method through a statistical analysis based on mobile RFID according to the present invention, the session management unit storing the location of the user's mobile terminal by transmitting data on the location information from the retrieved tag information to the storage DB It is characterized in that it further comprises.

In addition, in the method of predicting merchandise sales through mobile RFID-based statistical analysis according to the present invention, when a query for the merchandise tag value transmitted in step (b) is not retrieved from the RFID tag server, an RFID reader is attached. A step of providing the authentication information to the session management unit by the manager terminal, transmitting the authentication information from the session management unit to the RFID tag server, and completing the authentication by transmitting the result of the authentication process from the RFID tag server to the manager terminal. And registering new product information with respect to the product tag value in the authenticated manager terminal as a session management unit. In the session management unit, an RFID tag, a product type, a product name, a batch time, and a product location from the session management unit to the RFID tag server. Registering the product information including a manufacturer, a price, an expiration date, and the RFID tag server Confirming response to the group session management unit, and the session management unit is characterized in that it comprises a step to notify a session ID to the administrator terminal.

In addition, in the product sales prediction method through the mobile RFID-based statistical analysis according to the present invention, the step (c), (c-1) by selecting the RFID tag list displayed on the mobile terminal to the session management unit of the product Querying detailed information, (c-2) the session manager transmitting the query to the RFID tag server, and (c-3) the RFID tag server responds to the query with product type, product name, and batch time. Transmitting the data including the product location, the manufacturer, the price, and the expiration date to the session manager. (C-4) The session manager compares the location information obtained from the previously read location information RFID with the location information of the current product. Performing the request, (c-5) session management unit from the information received from the RFID tag server to the storage DB session ID, RFID tag, product type, product name, batch time, product location, manufacturer, price, Transmitting data including a period of time and a price inquiry request time, and (c-6) the session managing unit displays an RFID tag, a product type, a product name, a manufacturer, a price, and an expiration date for a product to a user's mobile terminal. And transmitting the information to be included.

In addition, in the method of predicting merchandise sales through mobile RFID based statistical analysis according to the present invention, the step (d) reads the RFID tag attached to the user's mobile terminal from the RFID reader of the checkout counter (d-1). (D-2) transmitting the read RFID tag to the session manager, (d-3) querying an RFID tag server to obtain a mobile terminal ID corresponding to the read RFID tag, d-4) the RFID tag server responding with a mobile terminal ID corresponding to the session manager, (d-5) the session manager searches for a corresponding session from a list of mobile terminal IDs currently in operation and shopping for the corresponding mobile terminal; Notifying the termination; (d-6) the mobile terminal transmits an ACK response to the session management unit and terminates the operation program; (d-7) the session management unit purchases the RFID reader at the checkout counter. Instructing a calculation procedure for products, and (d-8) the session management unit stores a session ID, an RFID tag, a product type, a product name, a batch time, a product location, a manufacturer, a price, an expiration date, And a step of inputting the final calculation details including the final calculation time and the purchase amount.

In addition, in the product sales prediction method through the mobile RFID-based statistical analysis according to the present invention, the step (e), (e-1) statistical data using the session ID as an index using the data stored in the storage DB Generating statistical data, (e-2) statistically processing the statistical data according to a customer, purchase amount, and potential purchase amount in a graphic and diagram, and (e-3) displaying the statistically processed data when there is a request for statistical data. It characterized in that it comprises a step.

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

1 shows an overall schematic diagram of a product sales prediction system through mobile RFID based statistical analysis according to the present invention.

In FIG. 1, the merchandise sales prediction system through statistical analysis based on mobile RFID according to the present invention is a product (10) attached to the RFID tag recorded in response to radio frequency, RFID signal from the RFID tag of the product (10) Receives a mobile terminal 100 equipped with an RFID reader that recognizes the tag ID recorded in the tag, manages the user session of the mobile terminal 100 using the RFID reader and stores the session history and the mobile terminal ( Session management unit 200 for processing the RFID tag ID query from the 100, stores the data recorded in the RFID tag and retrieves the information retrieved for the RFID tag ID requested from the session manager 200 to the session manager 200 The RFID tag server 300 for transmitting and updating or managing the RFID tag data, and the information retrieved from the session manager 200 and the RFID tag server 300. And it comprises a storage DB (400), statistics generator 500, which extracts the data from the storage DB (400), and the statistical processing a session ID, time, location information, and processing for storing graphics.

In the merchandise sales prediction system based on the statistical analysis based on RFID according to the present invention, the user terminal 100 is a mobile terminal having an RFID reader, in which a RFID reader is mounted as various terminals including a PDA, a smart phone, and a PMP. This may be possible, and payment may be made by attaching it to a cart to a store customer who is shopping at a large store.

In addition, the RFID tag may be used in connection with the present invention of any kind of RFID tag. For example, RFID tags may be active, often with a battery inside, which can be read / write, or may be passive to obtain operating power generated from a reader without requiring a specified power source.

The session manager 200 manages a session of a user currently using an RFID terminal, terminates one session when a product calculation is made, and stores a history of the session.

The RFID tag server 300 stores data on current product information as a database for managing RFID tags.

At this time, not only the product price but also information about location information, display time, and the like are stored.

The product information of the RFID tag server 300 records and manages detailed information of the product, and the terminal 100 ID divides each terminal 100 by assigning an ID to each of the RFID tag readers. It provides a point in time to take over session control.

In addition, the location information is used to correct the location information of the current terminal 100 and wrong location information of the goods by attaching RFID tags matched with location information according to the section information of the section of the store.

The storage DB 400 accumulates data for buyer demand and various statistical analysis.

The data accumulation requires a data storage policy classified according to the need for data for data analysis.

 The statistics generating unit 500 has a statistical function for the order in which the user purchases the product, a statistical function for the actually purchased product and the product of interest, a purchase degree statistical function according to the position of the product, and elapsed after the product is displayed. Purchasing over time also performs a statistical function.

1 shows a system structure illustrated as a PDA with an RFID reader.

Referring to FIG. 1, a store user may directly search for a product price by using an RFID reader of a paid terminal.

At this time, the RFID tag attached to the product is stored in advance in the RFID tag server 300, the product code and the arrangement position, price, placement time and the like.

When the store user reads the RFID tag of the product, the store user can use the WLAN to store information on the time, location, and the like currently read.

In addition, if the buyer actually purchased the product to classify and store the information to determine the potential demand or future sales trend of the product.

In the system configuration according to the present invention, in addition to the RFID reader of the mobile terminal 100 that is paid to the customer user, a fixed RFID reader installed on the checkout counter and a manager RFID reader for input of the tag value for the product is further included.

2 is a schematic configuration diagram of a session management unit in a product sales prediction system through statistical analysis based on mobile RFID according to the present invention.

In FIG. 2, the session manager 200 includes a session generation module 210, a query processing module 220, a product information cache 230, a final calculation processing module 240, and a data storage processing module 250. .

The session generation module 210 generates one session for each user customer who uses the mobile terminal 100 equipped with the RFID reader, and processes the data query and data recording when the customer starts shopping.

At this time, each session maintains a session establishment time, session ID, and the like.

The query processing module 220 processes various information queries according to tag data of goods received by the RFID reader.

The product information cache 230 stores the product tag list queried in the same session in the cache so that the RFID tag server 300 is not inquired separately when re-inquiring.

The final calculation processing module 240 calculates the product value of the product at the final checkout.

The data storage processing module 250 continuously stores data necessary for processing statistical data from the session manager 200 to the storage DB 400.

3 is a schematic configuration diagram of a statistics generating unit in a product sales prediction system through mobile RFID based statistical analysis according to the present invention.

Referring to FIG. 3, the statistics generator 500 is generated for each user using a data extraction processing module 510 for extracting data from the storage DB 400 and a mobile terminal 100 having an RFID reader. Session ID processing module 520 for managing the session ID of the time information processing module 530 for processing a variety of time information, including session processing time, tag data inquiry time, product placement time, and a mobile RFID reader A location information processing module 540 for processing location information including a terminal location and a product placement location, a statistical processing module 550 for statistically processing the data or the information, and data processed by the statistical processing module 550 It includes a GUI module 560 to display the.

4 is a product sales prediction process through a mobile RFID based statistical analysis according to the present invention.

Referring to FIG. 4, the mobile terminal 100 having an RFID reader generates a session in the session managing unit 200 and receives a session ID according to the start of shopping (S10).

Here, the session ID is determined by the terminal ID and the session creation time.

Next, the RFID reader of the terminal reads the RFID tag list from the tag attached to the product 10 and displays the product list on the screen of the mobile terminal (S20).

Next, the step of querying the data for the detailed information of the selected product in the product list proceeds (S30).

Thereafter, the RFID reader of the commodity checkout counter receives session control from the RFID reader of the mobile terminal 10 to terminate the session for the mobile terminal ID, process the calculation for the purchased product, and store the calculated details data in the storage DB 400. In step S40).

Finally, statistical data about the customer is generated using the session ID as an index using the data stored in the storage DB 400 (S50).

Figure 5 is a session creation process in the product sales prediction method through a mobile RFID based statistical analysis according to the present invention.

Referring to FIG. 5, when the PDA, which is the terminal 100 of the user customer, starts shopping by pressing the start button, the current PDA notifies the session manager 200 of its device ID (S51).

 The session manager 200 checks whether there is a session established with the corresponding PDA ID within a predetermined time, for example, in 30 minutes (S52).

At this time, if the ID established in the step S52 already exists and maintains the existing session and notifies the corresponding session ID to the mobile terminal (S53).

In addition, if there is no ID established in step S52, the session manager 200 creates a new session and requests the RFID tag server 300 whether the ID is a valid ID (S54).

The above step is for the case where the user resets the terminal due to terminal malfunction or the like, but if the user wants a completely new session, the PDA notifies the session manager 200 that the new session is desired and proceeds accordingly.

After receiving the valid ID confirmation response from the RFID tag server 300, the session manager 200 notifies the session ID to the mobile terminal (S55 and S56).

6 is a process of displaying a product list in a product sales prediction method through statistical analysis based on mobile RFID according to the present invention.

6 is to display the RFID tag list detected by the RFID reader as a product name on the terminal.

Referring to FIG. 6, the mobile terminal 100 detects an RFID tag value from an RFID tag of the product 10 and transmits the RFID tag value to the session manager 200 (S61).

When the terminal 10 executes a read operation near the RFID reader to a product of interest, the values of the tags read by the reader are transmitted to the session manager 200.

The session manager 200 transmits the transmitted RFID tag value to the RFID tag server 300 (S62).

The RFID tag server 300 searches for tag information corresponding to the tag value and transmits product name information to the session manager 200 (S63).

The session manager 200 transmits data on the location information from the retrieved tag information to the storage DB to store the location of the mobile terminal of the user and provide statistics on the user's movement in the future (S64).

Here, the RFID tag value includes current location information, and location information input and stored in the RFID tag server 300 is provided by searching according to the RFID tag value.

The session manager 200 transmits the retrieved tag information to the mobile terminal 100 to display on the mobile terminal (S65).

In this case, the session manager 200 transmits the searched product list to the PDA, which is the mobile terminal of the user, and the PDA appropriately displays this to the customer.

At this time, the RFID tag that is not searched by the RFID tag server 300 among the product list received by the session manager 200 allows the RFID tag to appear as it is so that the manager terminal can newly register the product.

7 is an inquiry process of product detail information data in a product sales prediction method through mobile RFID based statistical analysis according to the present invention.

FIG. 7 is for providing product detail information when a user inquires about an RFID list enumerated in a PDA, which is a terminal.

Referring to FIG. 7, when a product list is clicked on and selected from the list of RFID tags displayed on the mobile terminal PDA, an RFID tag for querying detailed information of the corresponding product is transmitted to the session manager 200 (S71).

The session manager 200 transmits the query to the RFID tag server 300 (S72).

The RFID tag server 300 transmits data including an RFID tag, a product type, a product name, a batch time, a product location, a manufacturer, a price, and an expiration date in response to the query (S73).

The session manager 200 compares the location information obtained from the previously read location information RFID with the location information of the current product and performs a check request (S74).

In this case, when information different from each other is displayed in the comparison process, the manager device 20 performs a location information check request.

In addition, the session manager 200 is a storage DB 400 of the information received from the RFID tag server 300, the session ID, RFID tag, product type, product name, batch time, product location, manufacturer, price, expiration date, The data including the price request time is transmitted (S75).

Finally, the session manager 200 transmits information including the RFID tag, the product type, the product name, the manufacturer, the price, and the expiration date for the product to the mobile terminal 10 of the user (S76).

8 is a product registration process in the product sales prediction method through the mobile RFID-based statistical analysis according to the present invention.

If the query for the product tag value transmitted from the session manager 200 in step S63 of FIG. 6 is not retrieved from the RFID tag server 300,

Manager terminal 20 attached to the RFID reader PDA provides authentication information to the session management unit 200, and transmits the authentication information from the session management unit to the RFID tag server (S81, S82).

Next, the result of authentication processing from the RFID tag server 300 is transmitted from the session manager 200 to the manager terminal to complete authentication (S83, S84).

In addition, in the manager terminal 20 of the authentication is completed, the new product information for the product tag value is registered in the session management unit 200 (S85).

The session management unit 200 registers the product information including the RFID tag, product type, product name, batch time, product location, manufacturer, price, and expiration date from the RFID tag server 300 (S86). .

At this time, the RFID tag server 300 gives a confirmation response to the session management unit 200 (S87).

The session manager 200 notifies the manager terminal 20 of the session ID (S88).

9 is a session control transfer process in the product sales prediction method through the mobile RFID-based statistical analysis according to the present invention.

The procedure shown in Fig. 9 is a procedure for calculating the commodity price and ending the session appropriately by taking the session control right from the PDA as the leader of the checkout counter.

 Referring to FIG. 9, in the RFID reader 30 of the checkout counter, the cashier reads the RFID tag attached to the PDA of the user's mobile terminal 100 (S91).

Next, the read RFID tag is transmitted to the session manager 200 (S92).

The session manager 200 queries the RFID tag server 300 to obtain a mobile ID corresponding to the read RFID tag (S93).

At this time, the RFID tag server 300 responds to the mobile ID corresponding to the session management unit 200 (S94).

The session manager 200 searches for the corresponding session from the list of mobile terminal IDs currently in operation and notifies the mobile terminal of the end of shopping (S95).

At this time, the mobile terminal transmits an ACK response to the session management unit, and ends the operation program (S96).

The session management unit 200 instructs the calculation procedure for the goods purchased with the RFID reader of the checkout counter (S97).

Finally, the session management unit 200 is a storage DB 400 includes a session ID, RFID tag, product type, product name, batch time, product location, manufacturer, price, expiration date, final calculation time, purchase amount. Enter the final calculation details (S98).

The above-described procedures are for generating data in a statistical program, and the present invention has a meaning as a solution for enabling sales prediction in a merchandise sales store.

The process of generating statistical data in the statistics generating unit 500 is as follows.

First, statistical data is generated by using a session ID as an index using data stored in the storage DB 400.

Using the data stored in the large storage DB 400, the session ID is used as an index, and statistics on customer's movement, purchase volume, and potential purchase amount are established, so that useful data related to sales trend identification and planning can be constructed. .

The statistics on the copper line track the location of the mobile terminal paid to each user to identify the customer's copper line.

At this time, the drawings of the shop will provide a picture of the customer's movement by day / month / year.

In addition, it presents statistics by day / month / year as purchase quantity statistics and the quantity of purchase by location where goods are placed.

The statistics on the potential purchase amount is presented when the customer inquires the price through the PDA terminal but does not purchase the statistics as the product location, date, and actual purchase amount.

In the next step, the statistical data is statistically processed in a graphic and a chart according to the customer, the purchase amount, and the potential purchase amount.

Finally, the statistical data and the graphically processed statistical data display the statistically processed data when there is a statistical data request.

As described above, the present invention is to search the information of the product of interest by using a mobile RFID reader to statisticalize it to provide information on the future potential growth rate as a product that is not currently purchased but a product of interest or already purchased.

In other words, if the user uses the mobile RFID reader attached to the cart to find out the information of the item of interest, the item is not sold as a statistic, but it is received from the people, and even if it is sold, the potential growth rate in the future By providing statistical information, it is possible to obtain information on the current sales rate of the product as well as the potential growth rate.

As described above, although the present invention has been described by way of limited embodiments and drawings, the present invention is not limited thereto and is intended by those skilled in the art to which the present invention pertains. Of course, various modifications and variations are possible within the scope of equivalents of the claims to be described.

According to the present invention, by providing various kinds of information by using the RFID tag and the wireless communication technology of the reader, it is possible to statistically predict the sales trend for various products to the seller.

In addition, when the purchaser inquires the price of the product or checks the purchase information, the purchase intention may be identified to obtain statistical information as potential demand, or the actual purchase statistics according to the product placement, and statistical data about the buyer's interest may be obtained. .

In addition, the final calculated product is processed as statistical information on the actual purchase, and according to the location information on the tagged product, only the products that are currently sold well according to the statistical data related to product placement, actual purchase, and potential purchase. Rather, there is an advantage that the interest of the buyer can be secured by the actual data.

Claims (12)

A product having an RFID tag recorded thereon that is responsive to radio frequency; A mobile terminal having an RFID reader configured to receive an RFID signal from an RFID tag of the product and recognize a tag ID recorded on the tag; A session manager configured to manage a user session of the mobile terminal using the RFID reader, store and process the session history, and process an RFID tag ID query from the mobile terminal; An RFID tag server storing data recorded in the RFID tag, transmitting information retrieved about the RFID tag ID requested from the session manager to the session manager, and updating or managing the RFID tag data; A storage DB for integrating and storing information retrieved from the session manager and the RFID tag server; And A product sales prediction system based on mobile RFID-based statistical analysis, including a statistical generator for extracting data from the storage DB, and statistically processing and graphically processing session ID, time, and location information. The method of claim 1, The session management unit, A session generation module for generating one session for each user using a mobile terminal having an RFID reader to process data and record data; A query processing module for processing a query according to tag data of a product received by the RFID reader; A product information cache for storing a list of product tags queried in the same session; A final calculation processing module for calculating a product value of the product at the final checkout; And  A product sales prediction system based on mobile RFID-based statistical analysis, characterized in that it comprises a data storage processing module for storing data necessary for processing statistical data. The method of claim 1, In the RFID tag data, The product sales prediction system through the mobile RFID-based statistical analysis, comprising the detailed information of the product, the mobile terminal ID including the RFID reader unit, the product placement position, the position information on the terminal position. The method of claim 1, The statistics generating unit, A data extraction processing module for extracting data from the storage DB; A session ID processing module configured to manage one session ID generated for each user using a mobile terminal having an RFID reader; A time information processing module for processing various time information including session processing time, tag data inquiry time, and product placement time; A location information processing module for processing location information including a mobile terminal location having an RFID reader and a product placement location; A statistical processing module configured to statistically process the data or the information; And And a GUI module for displaying data processed by the statistical processing module. (a) a mobile terminal having an RFID reader, creating a session in the session managing unit and receiving a session ID according to a start of shopping; (b) the RFID reader reading an RFID tag list from a tag attached to the product and displaying the product list on the screen of the mobile terminal; (c) querying data on detailed information of a product selected from the product list; (d) the RFID reader of the merchandise checkout terminal taking control of the session from the RFID reader of the mobile terminal to terminate the session for the mobile terminal ID, process the calculation for the purchased merchandise, and storing the calculated detail data in the storage DB ; And (e) a method of predicting a merchandise sales through mobile RFID based statistical analysis, comprising generating statistical data on a customer by using a session ID as an index using the data stored in the storage DB. The method of claim 5, wherein In step (a), (a-1) generating a shopping start signal in a mobile terminal having an RFID reader to notify the session manager of the device ID of the mobile terminal; (a-2) checking, by the session manager, whether there is a session established with the device ID; (a-3) maintaining the existing session and notifying the mobile terminal of the corresponding session ID if the device ID established in step (a-2) already exists; And (a-4) If there is no device ID established in step (a-2), the session manager creates a new session and requests the RFID tag server whether the device ID is valid to receive an acknowledgment. And a step of notifying the session ID to the product sales forecasting method through statistical analysis based on mobile RFID. The method of claim 5, wherein In step (b), (b-1) detecting, by the mobile terminal, the RFID tag value from the RFID tag of the product and transmitting the RFID tag value to the session manager; (b-2) transmitting, by the session manager, the transmitted RFID tag value to an RFID tag server; (b-3) the RFID tag server retrieving tag information corresponding to the tag value and transmitting the tag information to the session manager; And (b-4) The session management unit comprises the step of transmitting the retrieved tag information to the mobile terminal and displaying on the mobile terminal, characterized in that the product sales prediction method through the mobile RFID-based statistical analysis. The method of claim 7, wherein The session management unit further comprises the step of storing the location of the mobile terminal of the user by transmitting data on the location information from the retrieved tag information to the storage DB, the product sales prediction method through the mobile RFID based statistical analysis. The method of claim 5, wherein If the query for the product tag value transmitted in the step (b) is not retrieved from the RFID tag server, Providing, by the manager terminal with an RFID reader, authentication information to the session manager; Transmitting authentication information from the session manager to an RFID tag server; Transmitting the result of the authentication process from the RFID tag server to the manager terminal in the session manager to complete authentication; Registering new product information with the session manager in response to the product tag value in the authenticated manager terminal; Registering, by the session manager, the product information including an RFID tag, a product type, a product name, a batch time, a product location, a manufacturer, a price, and an expiration date to the RFID tag server; The RFID tag server confirming and responding to the session manager; And The session management unit comprises a step of notifying the session ID to the manager terminal product sales prediction method through a mobile RFID-based statistical analysis, characterized in that the. The method of claim 5, wherein In step (c), (c-1) selecting the RFID tag list displayed on the mobile terminal and querying the session manager for detailed information of the corresponding product; (c-2) transmitting a query to the RFID tag server by the session manager; (c-3) the RFID tag server transmitting data including an RFID tag, a product type, a product name, a batch time, a product location, a manufacturer, a price, and an expiration date to the session manager in response to the query; (c-4) comparing the location information obtained from the previously read location information RFID with the location information of the current product and performing a check request; (c-5) The session management unit stores the session ID, RFID tag, product type, product name, batch time, product location, manufacturer, price, expiration date, and price inquiry request time as the storage DB among the information received from the RFID tag server. Transmitting the comprising data; And (c-6) The session management unit comprises the step of transmitting the information including the RFID tag, product type, product name, manufacturer, price, expiration date for the product to the mobile terminal of the user Product sales forecasting method through statistical analysis The method of claim 5, wherein In step (d), (d-1) reading the RFID tag attached to the mobile terminal of the user in the RFID reader of the checkout counter; (d-2) transmitting the read RFID tag to the session manager; (d-3) querying an RFID tag server to obtain a mobile terminal ID corresponding to the read RFID tag; (d-4) the RFID tag server responding with a mobile terminal ID corresponding to the session manager; (d-5) the session management unit searching for a corresponding session in a list of mobile terminal IDs currently in operation and notifying the mobile terminal of the end of shopping; (d-6) the mobile terminal transmitting an ACK response to the session manager and terminating an operation program; (d-7) instructing the session management unit to calculate a procedure for goods purchased with the RFID reader of the checkout counter; And (d-8) The session management unit stores the final calculation details including the session ID, the RFID tag, the product type, the product name, the batch time, the product location, the manufacturer, the price, the expiration date, the final calculation time, and the purchase amount to the storage DB. A product sales prediction method through statistical analysis based on mobile RFID, comprising the step of inputting. The method of claim 5, wherein In step (e), (e-1) generating statistical data using the session ID as an index using the data stored in the storage DB; (e-2) statistically processing the statistical data in a graphic and a chart according to the customer, the purchase amount, and the potential purchase amount; And (e-3) A method of predicting product sales through mobile RFID-based statistical analysis, comprising displaying the statistically processed data when there is a request for statistical data.

Images