KR20180116993A

KR20180116993A - Server and method for analyzing medicine consuming pattern using rfid tag information

Info

Publication number: KR20180116993A
Application number: KR1020170050010A
Authority: KR
Inventors: 임종훈; 유동훈; 조준철; 김상기; 강혁제
Original assignee: 한미헬스케어 주식회사
Priority date: 2017-04-18
Filing date: 2017-04-18
Publication date: 2018-10-26
Also published as: KR101995883B1; WO2018194251A1

Abstract

The present invention relates to a method and a server for analyzing a medicine consumer market pattern using RFID tag information. According to a first aspect of the present invention, the server for analyzing a medicine consumer market pattern comprises: a release information obtaining unit for obtaining release information including tag information for a medicine released among medicines to which an RFID tag is attached; a stock information receiving unit for receiving, from an employee terminal of a sales employee visiting a branch selling the medicine, stock information including the obtained tag information by reading the RFID tag attached to the medicine arranged in the branch by the employee terminal; and a consumer market pattern analyzing unit for analyzing a consumer market pattern of the medicine based on at least one of the release information and the stock information.

Description

Technical Field [0001] The present invention relates to a method and a server for analyzing a drug consumption market pattern using RFID tag information,

The present invention relates to a method and an apparatus for analyzing a drug consumption market pattern using RFID tag information, and more particularly, to a method and system for analyzing a drug consumption market pattern of a consumer using information on drugs sold to a consumer in an actual pharmacy, .

Recently, RFID technology has been developed and RFID tags can be produced at a low price, and RFID readers capable of reading RFID tags are increasing in number.

Many companies are adopting RFID technology to manage the production, distribution and sales of products.

In particular, in the case of pharmaceuticals, RFID technology is being used to clarify the production and distribution control of pharmaceutical products that are directly linked to the health of consumers.

With the RFID technology, it is possible to track the distribution process from the production to the use of the unique identification number assigned to the drug, and various application technologies using the RFID tag information of these drugs are being developed.

However, currently, it is not possible to manage the entire life cycle of pharmaceuticals using RFID tag information attached to pharmaceuticals. It is necessary to identify the sales volume of pharmaceuticals at each retail store and use it as sales data for the retail stores of pharmaceutical companies or wholesalers, Systems and technologies that can do this are not supported.

Korean Patent Laid-Open Publication No. 10-2010-0115515 relates to an apparatus and method for recognizing a cargo position using RFID electronic tags attached to a ceiling, and a technique of recognizing the position of a warehouse cargo by attaching RFID electronic tags to the ceiling of the warehouse And does not know the sales situation of pharmaceutical products of each retailer using RFID electronic tag information or provide statistics related thereto.

Therefore, a technique for solving the above-described problems is required.

On the other hand, the background art described above is technical information acquired by the inventor for the derivation of the present invention or obtained in the derivation process of the present invention, and can not necessarily be a known technology disclosed to the general public before the application of the present invention .

One embodiment of the present invention is directed to identifying medicines sold in a pharmacy through RFID tag information attached to medicines.

In addition, an embodiment of the present invention aims to analyze consumption market patterns of medicines using tag information on medicines identified as sold to consumers.

In addition, an embodiment of the present invention has an object of correcting a consumption market pattern by acquiring missing tag information generated when a RFID tag is read at a visit point visited by a salesperson.

One embodiment of the present invention is aimed at identifying drug sales volume of each pharmacy and using it for sales or pharmacy management.

According to a first aspect of the present invention, there is provided a server for analyzing a consumption market pattern of a pharmaceutical product, the server comprising: A goods issue information obtaining unit for obtaining information; An inventory information receiving unit for receiving inventory information including tag information obtained by reading an RFID tag attached to a medicine placed at a visiting point from an employee terminal of a salesperson who visits a visit point where the pharmaceutical product is sold; And a consumption market pattern analyzing unit for analyzing a consumption market pattern of the medicine based on at least one of the stock information and the stock information.

According to a second aspect of the present invention, there is provided a method for analyzing a consumption market pattern of a pharmaceutical product by a consumption market pattern analysis server, the method comprising the steps of: acquiring warehouse information including tag information about medicines ; Receiving inventory information including tag information obtained by reading the RFID tag attached to the medicine placed at the visiting point from the employee terminal of the salesperson who visited the visiting point where the pharmaceutical product is sold; And analyzing the consumption market pattern of the medicine based on at least one of the stock information and the stock information.

According to one of the above-mentioned objects of the present invention, an embodiment of the present invention can identify a drug sold in a pharmacy through RFID tag information attached to a drug.

In addition, according to any one of the tasks of the present invention, it is possible to analyze the consumption market pattern of the pharmaceutical product using the tag information about the drug that is identified to be sold to the consumer.

In addition, according to any one of the tasks of the present invention, the drug consumption market pattern can be analyzed by the consumer's time or region by using the RFID tag information about the actually sold pharmaceutical product.

Further, according to any one of the task solutions of the present invention, the production amount of the pharmaceutical product can be determined based on the consumer drug consumption market pattern.

In addition, according to any one of the tasks of the present invention, it is possible to analyze a disease or the like occurring in each region based on a consumer drug market pattern.

According to any one of the task solutions of the present invention, the sales volume of pharmaceuticals of each pharmacy can be grasped and used for drug sales or pharmacy management.

The effects obtained by the present invention are not limited to the above-mentioned effects, and other effects not mentioned can be clearly understood by those skilled in the art from the following description will be.

1 is a configuration diagram of a consumption market pattern analyzing system according to an embodiment of the present invention.
2 is a block diagram illustrating a consumption market pattern analysis server according to an embodiment of the present invention.
3 is a flowchart illustrating a method of analyzing a consumption market pattern according to an embodiment of the present invention.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings, which will be readily apparent to those skilled in the art. The present invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. In order to clearly illustrate the present invention, parts not related to the description are omitted, and similar parts are denoted by like reference characters throughout the specification.

Throughout the specification, when a part is referred to as being "connected" to another part, it includes not only "directly connected" but also "electrically connected" with another part in between . Also, when an element is referred to as "comprising ", it means that it can include other elements as well, without departing from the other elements unless specifically stated otherwise.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, the present invention will be described in detail with reference to the accompanying drawings.

Before describing this, we first define the meaning of the terms used below.

In the following, 'medicines' may include general medicines and specialty medicines, and each medicine may be tagged with an RFID tag. The attached RFID tag may be recorded with " tag information " including an date of manufacture, an item, and an identification code capable of identifying individual medicines.

The 'dispatch information' is information including the tag information about the medicines dispatched from the manufacturer factory among the medicines having the RFID tag attached thereto.

The 'inventory information' is a set of tag information obtained by reading the RFID tag attached to the drug placed at the visit point using the employee terminal of the salesperson who visited the visit point of the drug. Hereinafter, the 'first inventory information' and the 'second inventory information' are used to separately describe the inventory information collected at the same point in the same point of visit.

In addition, 'sales information' is tag information about medicines sold to consumers at the point of visit where actual medicines are sold.

A "point of visit" is a place where medicines can be sold to consumers, and may include all places where medicines can be sold, such as pharmacies, convenience stores, marts, and the like.

Terms not defined above define their meanings separately.

FIG. 1 is a block diagram for explaining a consumption market pattern analysis system 100 according to an embodiment of the present invention.

Each configuration constituting the consumption market pattern analysis system 100 can communicate via the network N. [ At this time, the network N may be a local area network (LAN), a wide area network (WAN), a value added network (VAN), a personal area network (PAN) Wireless networks such as a mobile radio communication network, a wireless broadband Internet (Wibro), a Mobile WiMAX, a High Speed Downlink Packet Access (HSDPA) or a satellite communication network.

The outgoing reading apparatus 10 is provided with a reader capable of reading the RFID tag and can read the RFID tag attached to the medicine dispatched from the factory. The outgoing leading device 10 may transmit the tag information stored in the RFID tag of the read medicament to the consumption market pattern analysis server 20 to be stored as shipping information.

At this time, the outgoing leading device 10 can sequentially read the RFID tags or simultaneously read a plurality of RFID tags.

The employee terminal 30 may be composed of a reader device 31 for reading the RFID tag and a control terminal 32 for receiving or controlling the tag information from the reader device 31 according to the embodiment.

At this time, the control terminal 32 can be implemented as a computer, a portable terminal, a television, a wearable device or the like, which can be connected to a remote server through the network N or connected to other terminals and servers. Here, the computer includes, for example, a notebook computer, a desktop computer, a laptop computer, and the like, each of which is equipped with a web browser (WEB Browser), and the portable terminal may be a wireless communication device , Personal Communication System (PCS), Personal Digital Cellular (PDC), Personal Handyphone System (PHS), Personal Digital Assistant (PDA), Global System for Mobile communications (GSM), International Mobile Telecommunication (IMT) (W-CDMA), Wibro (Wireless Broadband Internet), Smart Phone, Mobile WiMAX (Mobile Worldwide Interoperability for Microwave Access) (Handheld) based wireless communication device. In addition, the television may include an Internet Protocol Television (IPTV), an Internet television (TV), a terrestrial TV, a cable TV, and the like. Further, the wearable device is an information processing device of a type that can be directly worn on a human body, for example, a watch, a glasses, an accessory, a garment, shoes, and the like. The wearable device can be connected to a remote server via a network, Lt; / RTI >

Alternatively, the employee terminal 30 may be a control terminal 32 equipped with a reader for reading the RFID tag, according to an embodiment.

The consumption market pattern analysis server 20 may be a server system that can be implemented as a computer capable of communicating with the outgoing leading apparatus 10 or the employee terminal 30 via the network N. The server system 20 includes a load balancing server, Servers, and the like. And the consumption market pattern analysis server 20 may include a storage device capable of storing data or may store data through a third server (not shown).

The consumption market pattern analysis server 20 obtains the dispatch information of the medicine dispatched from the factory from the dispatching reader 10 or acquires stock information of the dispensed medicines through the dispatch terminal 30 at the visit site visited by the salesperson And can analyze the consumer's consumption market pattern for medicines by identifying medicines sold to actual consumers based on the acquired warehouse information and inventory information.

Hereinafter, each component of the consumer market pattern analysis server 20 will be described in detail with reference to FIG.

The consumption market pattern analysis server 20 may include a factory information obtaining unit 210. [ The warehouse information acquiring unit 210 can acquire warehouse information, which is tag information about medicines dispatched among the medicines to which the RFID tag is attached.

That is, when the outgoing reading device 10 reads the RFID tag attached to at least one medicament to be placed at the visiting point, the outgoing information obtaining unit 210 obtains the RFID tag from the outgoing reading device 10 The tag information can be obtained as the goods information.

At this time, the dispatching reader 10 may generate and store dispatch information by associating the leading tag information with the time of reading the RFID tag attached to the medicine.

For example, the warehouse information obtaining unit 210 can obtain warehouse information from the shipping reading apparatus 10 at a predetermined time interval, and stores the warehouse information obtained at the received time or the time obtained in the shipping reading apparatus 10 .

Meanwhile, the consumption market pattern analysis server 20 may include an inventory information receiving unit 220. The inventory information receiving unit 220 can acquire the stock information, which is the tag information about the medicine placed at the visit point, using the employee terminal 30 of the salesperson who visited the visiting point where the medicine is sold.

That is, when the salesperson reads the tag information about the medicine placed at the visiting point to the employee terminal 30, the inventory information receiving unit 220 can receive the tag information read from the employee terminal 30 as stock information .

For example, when a salesperson reads a drug placed in a temple terminal 30 at a visit point visited on a specific date, the inventory information receiver 220 receives information on the visit point and tag information from the temple terminal 30 can do. Accordingly, the information about the visit point and the tag information can be correlated and collected as inventory information.

The inventory information receiving unit 220 may classify and store the tag information included in the received inventory information according to a certain condition.

For example, the inventory information receiving unit 220 can classify the inventory information according to the received time or date, and stores the tag information included in each inventory information at a position where the tag information is read, for example, And can be categorized by category of medicines.

Meanwhile, the consumption market pattern analysis server 20 may include a sales confirmation unit 230. The sales confirmation unit 230 can identify the actually sold medicament based on at least one of the dispatch information and the inventory information.

In one embodiment, the sales confirmation unit 230 can identify the actually sold medicines using the stock information obtained after the dispatch information is generated based on the dispatch information.

For example, the sales confirmation unit 230 compares the tag information included in the shipment information on January 1, 2017 with the stock information obtained after January 1, 2017, The time point at which the information is acquired can be identified as the medicine actually corresponding to the tag information. For example, if the tag information of the goods shipped on January 1, 2017 is acquired at least once at an arbitrary visit point and the tag information is no longer acquired after a certain point of time, It can be judged that the product is sold.

In another embodiment, the sales confirmation unit 230 can identify that the tag information that is excluded from the second inventory information among the tag information included in the first inventory information is actually sold.

For example, the sales confirmation unit 230 determines whether the tag information '39309' included in the inventory information received on Jan. 1, 2017 from the employee terminal 30 is included in the stock information on January 3, 2017 , And if it is not included in the inventory information, the medicine corresponding to the tag information '39309' can be identified as sold to the consumer.

On the other hand, if the tag information corresponding to the medicines identified as having been sold in the past is included in the stock information received from the employee terminal 30 thereafter, the sales confirmation unit 230 can identify the product as not yet sold have. That is, if it is confirmed that the tag information is included in the first stock information after the arbitrary tag information is included in the shop information, the sales confirmation unit 230 identifies the drug as an inventory of the visit point corresponding to the first stock information, If the tag information is no longer included in the second inventory information of the branch, the drug can be treated as sold. Thereafter, when it is confirmed that the tag information is included again in the third inventory information of the corresponding visit point, it is determined that the previous sale processing is an error, and the drug is judged as the inventory of the visit point again.

That is, if the tag information not included in the second tag information is included in the third tag information, the sales confirmation unit 230 reads the RFID tag of the medicine placed from the visiting point to the employee terminal 30 It is possible to determine whether the tag information of the missing drug is the leading one or whether it is a newly disposed drug. The distinction may be made based on whether the sales confirmation unit 230 first received the tag information of the drug from the employee terminal 30 or whether the tag information was included in the previous inventory information. In the former case, the sales confirmation part 230 can confirm that the new medicine dispatched to the visiting point is in stock. In the latter case, the sales confirmation part 230 omits the inventory information of the medicine already in stock at the visiting point Can be confirmed to be included again. In this case, the sales confirmation unit 230 may exclude the tag information from the sales information and subtract the number of tag information that is missing from the quantity of medicines confirmed to be sold.

According to one embodiment, the sales confirmation unit 230 may store sales information including tag information that is identified as sold, and may store inventory information received from the employee terminal 30, Can be retrieved.

For example, if the third inventory information is included in the first inventory information but is not included in the second inventory information and the tag information is included in the third inventory information acquired later, the sales confirmation unit 230 stores the third inventory information It can be determined whether or not the included tag information is included in the sales information, and it can be discriminated whether the tag information is missing from the second inventory information or the tag information of the medicine newly arranged at the visiting place.

At this time, when the sales confirmation unit 230 confirms whether the medicine corresponding to each tag information is sold and generates sales information, the sales information includes tag information of the medicine, information of the visit point where the tag information is finally collected, Information about the salesperson who collected the information, collection time, and the like.

Then, the sales confirmation unit 230 confirms the tag information, which is included in the sales information and is excluded again, from the employee terminal 30 that has collected the tag information, the number of the tag information, Can be calculated for each employee terminal (30). Thereby, it is possible to correct the error of the stock information received from each employee terminal 30 or to request retransmission of the stock information.

For example, if the tag information is missing four or more times a month in the stock information obtained from the first employee terminal for one month, the sales confirmation unit 230 obtains the actual sales amount for the tag information acquired from the first employee terminal It can be corrected by adding the number of missing tag information to the stock information.

Alternatively, for example, when the first stock information is acquired from the first employee terminal, the sales confirmation unit 230 may request the first employee terminal to re-read the landing point, It is possible to check whether the medicine is sold or not by comparing the inventory information with each other.

Then, the sales confirmation unit 230 can transmit the tag information, the sales position, and the timing of the drug, which has been confirmed to be sold, to the consumption market pattern analysis unit 240 to be described later.

Meanwhile, the consumption market pattern analysis server 20 may include a consumption market pattern analysis unit 240. The consumption market pattern analysis unit 240 can analyze the drug consumption market pattern based on the dispatch information and the inventory information.

That is, the consumption market pattern analyzing unit 240 can acquire the tag information and the selling time of the medicine that has been confirmed to be sold for a predetermined period from the above-described sales confirmation unit 230, and can identify the type of medicines, , Analyzing the sales situation of medicines according to the region, or analyzing the trend of the sales situation to analyze the consumption market pattern of medicines. Then, the consumption market pattern analyzing unit 240 can provide the analysis result to the user, that is, the drug salesman or drug manufacturer who needs information on the sales status.

According to one embodiment, the consumption market pattern analyzing unit 240 can analyze an optimal quantity of medicines produced and a location of a logistics facility based on sales quantities of the same medicines by season.

For example, the Consumer Market Pattern Analysis Unit 240 estimates that cold medicines produced in the summer based on "50000" and "1,000,000" cold medicines sold in the "central region" and "southern region" The logistics strategy can be set to concentrate on.

According to another embodiment, the consumption market pattern analyzing unit 240 can analyze the current disease in the area based on the type and number of medicines sold in a specific area.

Thus, by analyzing the tag information of drugs that are actually sold, it is possible to analyze the drug market patterns of consumers more accurately by not analyzing the tag information of the drugs dispatched from the factory but analyzing the tag information.

According to an embodiment of the present invention, the sales confirmation unit 230 may be included in the first inventory information acquired relatively earlier at an arbitrary visited point among the tag information included in the shipping information, The process of inserting the tag information not included in the second inventory information into the sales information of an arbitrary visit point as the tag information of the medicines sold at an arbitrary visit point can be performed for a certain period of time. The consumption market pattern analyzing unit 240 can estimate the quantity of medicines sold for a certain period of time at an arbitrary visit point based on the sales information collected during a certain period. At this time, the sales confirmation unit 230 is also included in the first inventory information at any visited point among the tag information included in the shipping information, is not included in the second inventory information, and is collected relatively later than the second inventory information 3 The process of excluding the tag information included in the inventory information from the sales information of an arbitrary visit point can be performed for a predetermined period together with the above-described process. Accordingly, the consumption market pattern analyzing unit 240 can estimate the quantity of medicines sold at each visit point even though it is not accurate by performing the above process for a predetermined period.

In addition, according to the embodiment, the sales confirmation unit 230 collects a plurality of pieces of inventory information collected at a predetermined period or frequency for a predetermined period or more, and then stores the history information in the inventory information Only tag information may be included in the sales information.

A method of analyzing a consumption market pattern according to an embodiment of the present invention will be described with reference to FIG.

The method for analyzing the consumption market pattern according to the embodiment shown in FIG. 3 includes the steps of processing in a time-series manner in the consumption market pattern analysis server 20 shown in FIG. Therefore, the contents described above with respect to the consumption market pattern analysis server 20 shown in FIG. 2 may be applied to the consumption market pattern analysis method according to the embodiment shown in FIG.

First, the consumption market pattern analysis server 20 can acquire the dispatch information, which is tag information about the dispensed medicines, of the medicines to which the RFID tag is attached (S3001).

That is, the consumption market pattern analysis server 20 can acquire the tag information stored in the RFID tag attached to the medicines through the outgoing reading device 10 in the process of producing and dispensing medicines.

For example, the consumer market pattern analysis server 20 can obtain the departure information, which is tag information for each of at least one medicine dispatched to each day from the dispatching apparatus 10 every day.

Then, the consumption market pattern analysis server 20 can acquire stock information, which is tag information about the medicine placed at the visit point, from the employee terminal 30 of the salesperson who visited the visiting point where the medicine is sold (S3002).

That is, the consumption market pattern analysis server 20 can acquire stock information about the medicine placed at the visit point from the employee terminal 30 using the employee terminal 30 by the salesperson.

For example, if the salesperson visits any one of the at least one visiting point and reads the RFID tag of the medicine placed at the visiting point using the employee terminal 30, the consumption market pattern analysis server 20 Can acquire positional information from the employee terminal 30 together with the tag information of the read RFID tag.

At this time, the consumption market pattern analysis server 20 may match the stock information obtained from the employee terminal 30 with the visit point information.

Then, the consumption market pattern analysis server 20 can identify the actually sold medicines based on at least one of the dispatch information and the inventory information (S3003).

For example, the consumption market pattern analysis server 20 includes the tag information included in the warehouse information acquired in step S3001 but included in the second inventory information collected after the step S3002 Tag information can be identified as the sold medicament and included in the sales information.

Alternatively, for example, the consumption market pattern analysis server 20 may not include in the second stock information of the tag information included in the first stock information acquired from the same employee terminal 30 or acquired for the same visit point in step S3002 The tag information included in the third inventory information collected after that can be excluded from the sales information again.

Then, the consumption market pattern analysis server 20 can analyze the consumer drug consumption market pattern based on the sales information (S3004).

That is, the consumption market pattern analysis server 20 can analyze the drug consumption market pattern according to at least one of the type, visit point, period, and region of the medicine corresponding to the tag information included in the sales information.

In one embodiment, the consumer market pattern analysis server 20 can analyze the types of medicines sold at specific visit points and analyze the characteristics of consumers using the visit points.

In another embodiment, the consumer market pattern analysis server 20 can analyze the optimum production quantity for each seasonal pharmaceutical product based on sales volume of drugs sold nationwide by season.

For example, the analysis server 20 of the consumer market pattern analyzing the 'cold medicine' includes 50,000 items of January to April, 30,000 items of May to August, 60,000 items of September to December, Based on the sales volume, it can be determined as 'Monthly full monthly for January ~ April', '7,000 monthly for May ~ August', and '15,000 monthly for September ~ December'

The method of analyzing the consumption market pattern according to the embodiment described with reference to FIG. 3 may also be implemented in the form of a recording medium including instructions executable by a computer, such as a program module executed by a computer. Computer readable media can be any available media that can be accessed by a computer and includes both volatile and nonvolatile media, removable and non-removable media. In addition, the computer-readable medium may include both computer storage media and communication media. Computer storage media includes both volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data. Communication media typically includes any information delivery media, including computer readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave, or other transport mechanism.

Also, the method of analyzing the consumer market pattern according to an embodiment of the present invention may be implemented as a computer program (or a computer program product) including instructions executable by a computer. A computer program includes programmable machine instructions that are processed by a processor and can be implemented in a high-level programming language, an object-oriented programming language, an assembly language, or a machine language . The computer program may also be recorded on a computer readable recording medium of a type (e.g., memory, hard disk, magnetic / optical medium or solid-state drive).

Therefore, the method of analyzing the consumption market pattern according to the embodiment of the present invention can be realized by the computer program as described above being executed by the computing device. The computing device may include a processor, a memory, a storage device, a high-speed interface connected to the memory and a high-speed expansion port, and a low-speed interface connected to the low-speed bus and the storage device. Each of these components is connected to each other using a variety of buses and can be mounted on a common motherboard or mounted in any other suitable manner.

Where the processor may process instructions within the computing device, such as to display graphical information to provide a graphical user interface (GUI) on an external input, output device, such as a display connected to a high speed interface And commands stored in memory or storage devices. As another example, multiple processors and / or multiple busses may be used with multiple memory and memory types as appropriate. The processor may also be implemented as a chipset comprised of chips comprising multiple independent analog and / or digital processors.

The memory also stores information within the computing device. In one example, the memory may comprise volatile memory units or a collection thereof. In another example, the memory may be comprised of non-volatile memory units or a collection thereof. The memory may also be another type of computer readable medium such as, for example, a magnetic or optical disk.

And the storage device can provide a large amount of storage space to the computing device. The storage device may be a computer readable medium or a configuration including such a medium and may include, for example, devices in a SAN (Storage Area Network) or other configurations, and may be a floppy disk device, a hard disk device, Or a tape device, flash memory, or other similar semiconductor memory device or device array.

It will be understood by those skilled in the art that the foregoing description of the present invention is for illustrative purposes only and that those of ordinary skill in the art can readily understand that various changes and modifications may be made without departing from the spirit or essential characteristics of the present invention. will be. It is therefore to be understood that the above-described embodiments are illustrative in all aspects and not restrictive. For example, each component described as a single entity may be distributed and implemented, and components described as being distributed may also be implemented in a combined form.

The scope of the present invention is defined by the appended claims rather than the detailed description and all changes or modifications derived from the meaning and scope of the claims and their equivalents are to be construed as being included within the scope of the present invention do.

100: Consumer market pattern analysis system
10: Outgoing reading device
20: Consumer market pattern analysis server
30: Employee terminal
31: Reader device
32: control terminal

Claims

A server for analyzing the consumption market pattern of pharmaceuticals,
A warehouse information acquiring unit for acquiring warehouse information including tag information about medicines to be shipped out of medicines with an RFID tag attached thereto;
An inventory information receiving unit for receiving inventory information including tag information obtained by reading an RFID tag attached to a medicine placed at a visiting point from an employee terminal of a salesperson who visits a visit point where the pharmaceutical product is sold; And
And a consumption market pattern analyzer for analyzing a consumption market pattern of the pharmaceutical product based on at least one of the stock information and the stock information.

The method according to claim 1,
Wherein the consumption market pattern analysis server comprises:
Further comprising a sales confirmation unit for confirming the type and quantity of the medicines sold based on at least one of the stocking information and the stock information.

3. The method of claim 2,
The above-
Wherein the employee terminal includes tag information obtained by reading an RFID tag attached to a drug disposed at a visit point and information on a visit point.

The method of claim 3,
The sales confirmation unit,
The tag information included in the first inventory information acquired relatively earlier among the tag information included in the warehouse information but not included in the second tag information acquired relatively later is included in the sales information as the tag information of the medicines sold,
The consumption market pattern analyzing unit,
Information on a visit point included in the first stock information including tag information of the drug, information on a visit point included in the sales information, information on a drug corresponding to the tag information included in the sales information, And analyzing the drug consumption market pattern based on at least one of the plurality of drug consumption patterns.

5. The method of claim 4,
The inventory information receiving unit,
The third stock information acquired relatively later than the second stock information from the employee terminal of the salesperson,
The sales confirmation unit,
And excludes tag information included in the first inventory information but not included in the second inventory information but included in the third inventory information from the sales information.

The method of claim 3,
The sales confirmation unit,
Tag information that is included in first inventory information acquired relatively at a certain visit point among tag information included in the warehouse information but is not included in second inventory information acquired relatively later at the arbitrary visit point, A step of inserting the tag information of the medicines sold at an arbitrary visit point into the sales information of the arbitrary visit point for a predetermined period of time,
The consumption market pattern analyzing unit,
And estimates a drug sales quantity for the predetermined period at the arbitrary visit point based on the sales information.

The method according to claim 6,
The sales confirmation unit,
The third inventory information included in the first inventory information and not included in the second inventory information at the arbitrary visit point among the tag information included in the warehouse information and collected relatively later than the second inventory information And excluding the included tag information from the sales information of the arbitrary visit point,
The consumption market pattern analyzing unit,
And estimates a drug sales quantity for the predetermined period at the arbitrary visit point based on the sales information.

6. The method of claim 5,
The consumption market pattern analyzing unit,
Analyzing trends of sales of pharmaceutical products or sales trends according to at least one of kinds of drugs, visit points, periods, and regions based on the sales information,
Wherein the consumption market pattern analysis server comprises:
And provides the user with information on the trend of the analyzed sales state or sales state.

Consumer Market Pattern Analysis In a method for a server to analyze the consumption market pattern of drugs,
The method comprising the steps of: acquiring warehouse information including tag information about a medicinal product out of medicines attached with an RFID tag;
Receiving inventory information including tag information obtained by reading the RFID tag attached to the medicine placed at the visiting point from the employee terminal of the salesperson who visited the visiting point where the pharmaceutical product is sold; And
And analyzing a consumption market pattern of the medicine based on at least one of the stock information and the stock information.

10. The method of claim 9,
The method of analyzing a consumption market pattern includes:
Further comprising checking the type and quantity of the medicines sold based on at least one of the stock information and the stock information.

11. The method of claim 10,
The above-
Wherein the employee terminal includes tag information obtained by reading an RFID tag attached to a drug disposed at a visit point and information on a visit point.

12. The method of claim 11,
Wherein the verifying step comprises:
The tag information included in the first inventory information acquired relatively earlier among the tag information included in the warehouse information but not included in the second tag information acquired relatively later is included in the sales information as the tag information of the sold medicament Lt; / RTI >
Analyzing the consumer market pattern comprises:
Information on a visit point included in the first stock information including tag information of the drug, information on a visit point included in the sales information, information on a drug corresponding to the tag information included in the sales information, And analyzing the drug consumption market pattern based on at least one of the plurality of drug consumption patterns.

13. The method of claim 12,
Wherein the receiving comprises:
And receiving third inventory information acquired relatively later than second inventory information from the employee terminal of the salesperson,
Wherein the verifying step comprises:
Further comprising the step of excluding tag information included in the first inventory information but not included in the second inventory information, but included in the third inventory information from the sales information.

11. The method of claim 10,
Wherein the verifying step comprises:
Tag information that is included in first inventory information acquired relatively at a certain visit point among tag information included in the warehouse information but is not included in second inventory information acquired relatively later at the arbitrary visit point, The method comprising the step of, as tag information of a drug sold at an arbitrary visit point, inclusion in sales information of the arbitrary visit point for a predetermined period of time,
Analyzing the consumer market pattern comprises:
And estimating a sales quantity of medicines for the predetermined period at the arbitrary point of visit based on the sales information.

15. The method of claim 14,
Wherein the verifying step comprises:
The third inventory information included in the first inventory information and not included in the second inventory information at the arbitrary visit point among the tag information included in the warehouse information and collected relatively later than the second inventory information And excluding the included tag information from the sales information of the arbitrary visit point, the method further comprising the step of performing the process for a predetermined period of time,
Analyzing the consumer market pattern comprises:
Further comprising the step of estimating the quantity of medicines sold during the predetermined period at the arbitrary point of visit based on the sales information.

14. The method of claim 13,
Analyzing the consumer market pattern comprises:
Analyzing the sales status of the medicines based on at least one of the type, visit point, period, and region of the medicines based on the sales information; And
And providing information on the analyzed sales status to the user.

A computer program stored on a recording medium for performing the method of any one of claims 9 to 16.