KR20220134235A - Method for providing trend analysis services based on tag of order data - Google Patents

Abstract

The present invention discloses an apparatus and method for providing an analysis service based on tags of order data. The method, which is for providing an order management service for retail, wholesale, and direct buying, comprises: a step of storing standardized order data, which is obtained by conversion of order sheet information received by wholesale points within a wholesale market in each region and used for the order management service, and tag information mapped to the order data in a database; a step of extracting product information categorized based on tags from the order data to which the tag information is mapped, performing ranking and level processes for the product information categorized based on the tags based on accumulated order quantity information of the standardized order data within a specified period, and determining popularity of each item based on the ranking and level processes to generate a wholesale trend analysis result of product items; and a service step of creating a list of popular products based on the determined popularity of items by category and providing the generated list to a service subscriber terminal.

Description

Method for providing trend analysis services based on tag of order data

The present invention relates to an apparatus and method for providing a tag-based trend analysis service of order data, and more particularly, to an apparatus and method for providing a trend analysis service based on tag information mapped to order data.

In general, a transaction between a wholesaler that supplies fashion products such as clothing and a retailer that sells products supplied from the wholesaler to consumers is made based on a predetermined order. In other words, when a retailer receives an order for a product from a consumer, counts the orders, and places an order to the wholesaler, the wholesaler delivers the product to the retailer according to the counted quantity. In this case, in general, the retailer prepays the price of the product at the same time as the order, and the wholesaler checks the stock of the product after payment and releases it or manufactures the product in insufficient quantity.

Retailers that sell products to consumers are mostly open during the day, while wholesalers that manufacture and distribute products in bulk are usually open late at night or early in the morning. According to such a conventional wholesale and retail transaction method, when a retailer inquires a wholesaler for a restocking schedule or makes a request to change the quantity, size, color, etc. of a required product, considerable inconvenience is experienced. Due to these problems, most retailers have no choice but to operate their business with a great burden.

While solving these problems, wholesale/retail brokerage services such as purchasing are emerging in order to secure reliability and predictability between wholesalers and retailers to provide product shipment and delivery processing.

Purchasing means purchasing goods for the purpose of commerce in the dictionary, but in a wholesale/retail service handling clothing, order management and order management and delivery of goods received from wholesalers to retailers means brokerage.

As a result, purchasers engaged in purchasing operations must send orders received from retailers to the wholesalers on the same day, and complete collection and delivery. Purchasing business requires both promptness and accuracy due to the nature of the business, but in reality, the work efficiency is very low, such as cutting the contents of the order received from the retailer with scissors one by one and sending a picture to the wholesaler.

In order to solve this problem, various wholesale/retail transaction brokerage systems have been proposed that store and manage order information as electronic data in an automated form.

However, the current system requires a computer installed with specific wholesale/retail transaction brokerage software, and has limitations in that it is possible to process order data normally only by using a unified order form between wholesale, retail, and purchase.

This limitation not only makes real-time processing difficult, but also hinders data compatibility, which is inconvenient to rewrite and input the personalized order forms used by each wholesaler or retailer for individual convenience according to the transaction brokerage software form. this exists

Due to these inconveniences, not only the usability and convenience of the software are reduced, but also excessive time is required to rewrite the order form, and there is a problem that work processing time may be rather longer if modifications are made.

On the other hand, in general, the current trend analysis service is centered on the purchase history of the end consumer, regardless of wholesale/retail transactions. For example, trend analysis of popular products, etc. is being performed only by relying on end-user information such as the number of reviews, clicks, recommendations, and individual sales of end-users.

However, trend factors to be considered in distribution such as wholesale or retail of wholesalers or retailers may be completely different from those of end consumers. For such an analysis, it is very difficult to analyze and predict the distribution considering wholesalers or retailers only with the final consumer's sales information, as it is required to compare the distribution with other competitors for mass-buyed products such as clothing.

The present invention has been proposed in view of the above conventional circumstances, and based on tag information mapped to standardized order data, it is possible to provide an order data analysis service according to a trend analysis request of a distributor such as a wholesaler or a retailer. An object of the present invention is to provide an apparatus and method for providing a tag-based analysis service of order data.

In order to achieve the above object, an apparatus according to a preferred embodiment of the present invention is a service providing apparatus for providing an order management service between retail, wholesale, and purchase, and obtains conversion from order form information received at a wholesaler in a regional wholesaler. and a database for storing standardized order data used for the order management service and tag information mapped to the order data; and an analysis unit configured to perform a search and analysis based on the order data and tag information according to a request from the service subscriber terminal to generate a wholesale trend analysis result for a specific product item in a specific region.

In addition, in order to achieve the above object, the method according to a preferred embodiment of the present invention is a method of operation of a service providing device that provides an order management service between retail, wholesale, and purchase, received at a wholesaler in a regional wholesale mall. Storing, in a database, standardized order data obtained by conversion from order book information and used for the order management service and tag information mapped to the order data; and generating a wholesale trend analysis result for a specific product item in a specific region by performing a search and analysis based on the order data and tag information according to a request from the service subscriber terminal.

The above-described service providing method of the present invention can be implemented as computer-readable codes on a computer-readable recording medium. In addition, the above-described service providing method may be implemented as a program to be executed by a computer, or may be implemented as a recording medium in which the program is recorded.

According to the present invention having such a configuration, it is possible to analyze an effective trend element required by distributors such as wholesalers or retailers based on tag information (feature information) mapped to standardized order data, and accordingly Analytical information can be provided.

Due to this, it is possible to easily handle trend prediction analysis considering wholesalers or retailers.

In particular, it is possible to provide wholesale-related information (eg, a shopping mall where a specific item is sold well, a building floor, etc.) of a popular product by region according to a trend analysis of the wholesale information.

1 is a conceptual diagram schematically illustrating an entire system according to an embodiment of the present invention.
2 is a block diagram illustrating a service providing apparatus according to an embodiment of the present invention in more detail.
3 is a block diagram illustrating a database management unit according to an embodiment of the present invention in more detail.
4 is a block diagram illustrating an information input terminal according to an embodiment of the present invention in more detail.
5 to 7 are sequence diagrams for explaining a method of supporting feature information tagging corresponding to standardized order data according to an embodiment of the present invention.
8 to 16 are screen examples employed to describe a method for supporting feature information tagging corresponding to standardized order data according to an embodiment of the present invention.
17 is a block diagram illustrating in more detail an analysis unit that performs trend analysis according to an embodiment of the present invention.
18 is a flowchart illustrating an operation method of an analysis unit performing trend analysis according to a first embodiment of the present invention, and FIG. 19 is an exemplary diagram of analysis setting information.
20 is a flowchart illustrating an operation method of an analysis unit performing trend analysis according to a second embodiment of the present invention.
21 to 26 are diagrams for explaining a trend analysis result interface of order data according to an embodiment of the present invention.
27 is a block diagram illustrating in more detail a retail terminal that is an example of a service subscription terminal according to an embodiment of the present invention.
28 is a block diagram illustrating an internal configuration of an analysis unit according to another embodiment of the present invention.
29 is a view for explaining an operation of providing a tag-based trend analysis service of order data in a service subscription terminal and a service providing apparatus according to an embodiment of the present invention.
30 is a diagram for explaining an operation of providing a tag-based trend analysis service of order data in a service subscription terminal and a service providing apparatus according to another embodiment of the present invention.

Since the present invention can have various changes and can have various embodiments, specific embodiments are illustrated in the drawings and described in detail.

However, this is not intended to limit the present invention to specific embodiments, and should be understood to include all modifications, equivalents and substitutes included in the spirit and scope of the present invention.

The terms used in the present application are only used to describe specific embodiments, and are not intended to limit the present invention. The singular expression includes the plural expression unless the context clearly dictates otherwise. In the present application, terms such as “comprise” or “have” are intended to designate that a feature, number, step, operation, component, part, or combination thereof described in the specification exists, but one or more other features It is to be understood that this does not preclude the possibility of the presence or addition of numbers, steps, operations, components, parts, or combinations thereof.

Unless defined otherwise, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Terms such as those defined in commonly used dictionaries should be interpreted as having a meaning consistent with the meaning in the context of the related art, and should not be interpreted in an ideal or excessively formal meaning unless explicitly defined in the present application. does not

Hereinafter, preferred embodiments of the present invention will be described in more detail with reference to the accompanying drawings. In describing the present invention, in order to facilitate the overall understanding, the same reference numerals are used for the same components in the drawings, and duplicate descriptions of the same components are omitted.

1 is a conceptual diagram schematically illustrating an entire system according to an embodiment of the present invention.

The system according to an embodiment of the present invention maps tag information to standardized order data according to standardized processing of an order form, and based on this, a service providing apparatus 100 that provides product recommendation and order service, and request information according to service use may include one or more purchase terminals 200 , retail terminals 300 and wholesale terminals 400 , which transmit to the service providing apparatus 100 or receive and output service information from the service providing apparatus 100 .

In addition, the system according to an embodiment of the present invention may include an information input terminal 500 for inputting tag information and related additional information corresponding to standardized order data.

The service providing apparatus 100 controls electronic commerce between retail, wholesale, and purchase. That is, the service providing apparatus 100 provides a service that facilitates various electronic commerce transactions between the purchase terminal 200 , the retail terminal 300 , and the wholesale terminal 400 .

The purchase terminal 200 is a terminal used by the purchaser, the retail terminal 300 is a terminal used in a retail company, and the wholesale terminal 400 is a terminal used in a wholesale company. If necessary, the purchase terminal 200, the retail terminal 300, and the wholesale terminal 400 may be collectively referred to as a user terminal.

In addition, the information input terminal 500 is a tagger (eg, a fashion designer or MD (Merchandiser)) or inspector (administrator) that performs tagging of characteristic information corresponding to the standardized order data generated based on the contents of the order form. It may be a terminal used by

The service providing apparatus 100 , the purchase terminal 200 , the retail terminal 300 , and the wholesale terminal 400 may be configured as a service network formed by wire or wirelessly through a communication network. To this end, the service providing apparatus 100, the purchase terminal 200, the retail terminal 300, and the wholesale terminal 400 may be provided with one or more communication modules (not shown) for connecting to a communication network for mutual communication. can

The communication network may be implemented as a wired network such as, for example, a local area network (LAN), a wide area network (WAN), or a value added network (VAN). In addition, the communication network is a mobile radio communication network, satellite communication network, Bluetooth (Bluetooth), Wibro (Wireless Broadband Internet), HSDPA (High Speed Downlink Packet Access), Wi-Fi (Wi-Fi), LTE (Long Term Evolution) ) can be implemented with any kind of wireless network, such as If necessary, the communication network may be a network in which wired and wireless are mixed.

Meanwhile, when the information input terminal 500 is included in the system, the service providing apparatus 100 may be connected to the information input terminal 500 by wire or wirelessly. In addition, the communication connection between the information input terminal 500 and the service providing device 100 is connected to a secured internal network.

In addition, the input/output interface for supporting standardized order data output, tag information input, trend analysis setting information input, search image information input, product recommendation information output, etc. processed by the service providing device 100 is provided in the service providing device 100 ) can be included.

In this configuration, the service providing apparatus 100 processes data transmission and reception with the service-registered purchase terminal 200 , the retail terminal 300 and the wholesale terminal 400 , and a retail company obtained from the transmitted and received data; Individual order form information of a wholesaler or purchaser may be structured and processed according to preset standardization automation rule setting information (ie, order book conversion rule setting information). That is, the service providing apparatus 100 may generate standardized order data.

Here, the standardized order data is processed so as to be compatible with the individual order form of the wholesale terminal 400 , the retail terminal 300 , and the purchase terminal 200 to be converted and inversely converted.

In other words, the service providing apparatus 100 may convert and standardize order data fragmented for each wholesaler and retailer as standardized order data without separate correction or rewriting of the order form by each wholesaler/retailer.

In addition, the service providing apparatus 100 according to an embodiment of the present invention uses the standardized order data to provide a purchase brokerage service for a purchaser who is a user of the purchase terminal 200 , and a user of the retail terminal 300 . A retail order data management service for a retailer (or retailer) and a wholesale order data management service for a wholesaler (or wholesaler) that is a user of the wholesale terminal 400 may be provided, respectively.

Here, the purchase brokerage service receives the order form data of the retail terminal 300 received from the purchase terminal 200 and standardizes the order form data, and provides database registration processing using the standardized order data and notification to the wholesale terminal 400 . It may include an interface message transmission processing service.

Here, the order form data may include order form data in various formats personalized to correspond to the retail terminal 300 . The order form data may include, for example, an excel file, a word file, a pdf file, a scanned image file, or any one of data in various formats. The service providing apparatus 100 converts this order form data into structural data in a standardized format, and extracts and arranges necessary information according to a preset rule, thereby constructing standardized order data according to an embodiment of the present invention. .

In addition, the standardized order data can be output as order form data in various formats personalized for each user according to the inverse application and inverse transformation processing of the preset rules, so each retail terminal 300 and purchase terminal 200 Alternatively, convenient service use is possible without changing the format handled by the wholesale terminal 400 .

On the other hand, the wholesale terminal 400 receives a notification interface message according to the database registration processing of standardized order data, and processes a response input corresponding to the received notification interface message, and processes standardized order data reception, out of stock, and non-delivery. It can be processed so that a response message such as the purchase terminal 200 or the retail terminal 300 is delivered.

In addition, the service providing apparatus 100 according to an embodiment of the present invention may perform a retail order data management service. Here, the retail order data management service transfers the order form information of the retail terminal 300 to the purchase terminal 200 or to the wholesale terminal 400 using standardized order data according to a request from the purchase terminal 200 . Order processing results and status information can be provided.

And, the service providing apparatus 100 according to an embodiment of the present invention may perform a wholesale order data management service. Here, the wholesale order data management service may include an order information management service according to standardized order data registration, and may perform a change processing of order status information according to an input from the wholesale terminal 400 .

In addition, the service providing apparatus 100 according to the embodiment of the present invention shares the processing status information or related message information of the standardized order data to the purchase terminal 200 , the retail terminal 300 and the wholesale terminal 400 , and , the purchase terminal 200 , the retail terminal 300 , and the wholesale terminal 400 may provide a conversation interface service for mediating at least one conversation message.

For this processing, the purchase terminal 200, the retail terminal 300 and the wholesale terminal 400 are various devices such as a smartphone, a tablet computer, a notebook computer, a personal digital assistant (PDA), a portable multimedia player (PMP), and the like. can be implemented. The purchase terminal 200, the retail terminal 300, and the wholesale terminal 400 include an input unit for inputting information, an output unit for interface output according to the service provision of the service providing apparatus 100, and a communication unit for communication network connection. Each can be provided.

In this way, the service providing apparatus 100 can provide a database-based wholesale and retail transaction and purchase brokerage service based on standardized order data, which can improve usability and convenience as well as significantly reduce business processing time. and can provide real-time updateable order brokerage service between wholesale, retail and purchase. In addition, since the service providing apparatus 100 may provide additional services such as a convenient order information sharing system and a dialog interface using a message application, it is possible to improve the quality of the wholesale and retail brokerage management service based on the standardization of order data.

Furthermore, the service providing apparatus 100 according to an embodiment of the present invention accumulates standardized order data, builds it into one or more databases, maps tag information of various formats indicating image information and features for each order data, and , a database for mapped image information and tag information can be built, and various related additional services such as trend analysis and product recommendation service can be provided according to learning analysis.

2 is a block diagram illustrating the service providing apparatus 100 according to an embodiment of the present invention in more detail. The service providing device 100 may be a device that provides a tag-based product recommendation and order service of order data described in the claims of the present invention.

The service providing apparatus 100 includes an order data management unit 110 , a standardization processing unit 120 , an interface processing unit 130 , a database management unit 140 , a message processing unit 150 , a tagging processing unit 160 , and an analysis unit 170 ). and a service providing unit 180 . The service providing unit 180 includes an order service unit 181 , a trend analysis service unit 182 , and a product recommendation service unit 183 .

Here, each component of the service providing apparatus 100 may be controlled by a control unit (not shown), and the control unit generally controls the operation of each component of the service providing apparatus 100 and execution of functions of one or more components. It may be implemented with a microprocessor.

In addition, the service providing unit 180 may provide data transmission/reception and information provision service between the pre-registered purchase terminal 200 , the retail terminal 300 or the wholesale terminal 400 according to the execution of the functional operation of the control unit. .

The interface processing unit 130 may configure a user interface of various formats for data transmission/reception and information provision service, and may process data input/output based on the configured user interface. For example, the user interface may be implemented as a web interface, a transaction application-based interface installed in each terminal connected through a communication network, or a messenger interface-based interface installed in each terminal.

The order data management unit 110 receives order form information of one or more retail terminals 300 received from the purchase terminal 200 through a communication network, and stores the received order form information in the database management unit 140 .

The standardization processing unit 120 generates standardized order data by performing conversion processing corresponding to the order form information from the order data management unit 110 . The generated standardized order data may be stored in the database management unit 140 .

Here, the standardization processing unit 120 may generate standardized order data by analyzing and mapping the order book information according to preset order book conversion rule setting information. The order book conversion rule setting information may be variably determined according to the order form format and retailer information corresponding to the order form.

For example, the order book conversion rule setting information may include text rule information for extracting standardized order data from text obtained from an order form excel file of a specific retail store format. In addition, the order book conversion rule setting information may include batch conversion rule information for extracting information necessary for standardized order data from a specific location in the order book.

Such text rule information and batch conversion rule information may be selectively included in order book conversion rule setting information for each retail store. Accordingly, the standardization processing unit 120 may generate standardized order data through automated processing based on a set rule without separately modifying or re-entering the order form for each retail store.

For example, the information included in the standardized order data may include retailer information of the retail terminal 300 , product name, product option, number of products, special items, wholesaler name, address, wholesale to receive an order for the wholesaler. It may include a contact information of the terminal 400, an order method, and the like.

In addition, this standardized order data can reflect information that is mutually processed by purchasers, wholesalers and retailers in real time. To this end, a status information field may be added to the standardized order data. For example, the status information field may include any one of an order completion index field, a pickup (collection completed by the purchaser) index field, an out of stock index field, or an unsold (shipped when goods are received) field, particularly fashion-related purchases. Brokerage services can provide very convenient status information check.

In addition, the purchase terminal 200 , the retail terminal 300 , or the wholesale terminal 400 may perform order correction or edit processing based on standardized order data, and may process a change input of the status information field. If the state information field is changed, the service providing unit 180 may provide a corresponding notification message to the purchasing terminal 200 , the retail terminal 300 , or the wholesale terminal 400 .

Also, the standardization processing unit 120 may inversely transform the standardized order data back into order form information corresponding to the retail terminal 300 . For example, when the standardized order data is modified according to the request of the specific retail terminal 300 , the order data management unit 110 inversely converts the standardized order data into an order book of the specific retail terminal 300 using the corrected data. Thus, the standardized order data can be processed to be output as a customized modified order form that fits the order form of the specific retail terminal 300 .

Accordingly, the order data management unit 110 may store and register the order data standardized by the standardization processing unit 120 to the order form information of the retail terminal 300 to be stored and registered in the database management unit 140 .

Then, the order data management unit 110 transmits the registration information of the standardized order data to the service providing unit 180 and the interface processing unit 130 .

Here, the service providing unit 180 may include an order service unit 181 that provides the aforementioned purchase brokerage service, retail order data management service, or wholesale order data management service according to the order data of the order data management unit 110 . have. The order service unit 181 may provide registration information of standardized order data as status information to the wholesale terminal 400 , the purchase terminal 200 , or the retail terminal 300 . Meanwhile, the ordering service 181 may generate a new order form according to an order request from the retail terminal 300 and transmit it to the purchase terminal 200 or the wholesale terminal 400 .

In order to provide such status information and to provide input/output services from the purchase terminal 200, the retail terminal 300 and the wholesale terminal 400, the interface processing unit 130 generates an interface for service provision, or performs related data processing. can be done

For example, the interface processing unit 130 is a purchase brokerage service, a retail order data management service, or a wholesale order data management service through an application API accessible from the purchase terminal 200, the retail terminal 300 or the wholesale terminal 400. can provide In addition, the interface processing unit 130 generates a web interface capable of online input/output according to the service, and provides link information corresponding to the web interface to the purchase terminal 200 , the retail terminal 300 or the wholesale terminal 400 . can Also, the interface processing unit 130 may receive information input through an application API or a web interface and transmit it to the service providing unit 180 .

In particular, the interface processing unit 130 according to the embodiment of the present invention, as described above, based on the standardized order data, provides registration information of the standardized order data and status information corresponding thereto, and order-related wholesale terminal 400, the retail terminal 300, and the purchase terminal 200 may also provide an order dialog interface that can transmit and receive a dialog message.

Such an order conversation interface may mutually limit or extend the dialogue between each wholesale terminal 400, the retail terminal 300, or the purchase terminal 200, and state information based on standardized order data (eg, a conversation message) For example, pickup / out of stock / undelivered, etc.) can be output together to facilitate business processing between each operator.

And, the message information input and output on the order dialog interface may be collected, stored, and managed through the message processing unit 150 . The message processing unit 150 may store and manage the conversation message through the order conversation interface in the database management unit 140, and may perform automated processing such as correction, change, and input of special items according to the input of the message. have.

The conversation message of the message processing unit 150 may be stored and managed in correspondence with each retail terminal 300 , the wholesale terminal 400 , and the purchase terminal 200 . Such a conversation message may then be analyzed and processed by the analysis unit 170 to be processed as analysis data such as product defect rate, friendliness, response time, and the like.

Meanwhile, the tagging processing unit 160 may perform tag information input processing for analysis of standardized order data. Standardized order data according to an embodiment of the present invention may be accumulated and stored and managed in the database management unit 140 , and as the activities of the retail terminal 300 , the purchasing terminal 200 and the wholesale terminal 400 are accumulated It can represent meaningful analysis information.

To this end, the tagging processing unit 160 includes one or more tag information (eg, image source, season, gender, age group, style, TPO, mood, classification, item (large), Item (medium), Item (small), hashtag, country of manufacture, set item, standard color, standard size, material, material (detail), mixing ratio, fit, shape, sleeve, neckline, collar, type of fastening, fastening, sleeve Length, total length, skirt length, pants length, waist, pattern type, pattern, processing, detail) can be assigned to standardized order data, and the assigned tag information is standardized through the database management unit 140 It may be mapped to order data and stored. Here, the above exemplified image source, season, gender, age group, style, TPO, mood, classification, item (large), item (medium), item (small), hashtag, country of manufacture, set item, standard color, standard size , material, material (detail), mixing ratio, fit, shape, sleeve, neckline, collar, type of fastening, fastening, sleeve length, total length, skirt length, pants length, waist, pattern type, pattern, processing, details are tagged It can be called an attribute, and each tag attribute can have any one of several tag attribute values. For example, if the tag attribute is "fit", the corresponding tag attribute (i.e., fit) is any of the tag attribute values such as basic fit, loose fit, boxy fit, baggy fit, boyfriend fit, slim fit, wide fit, and flare fit. One may be optionally mapped.

In addition, the interface processing unit 130 generates a tag interface (eg, tagger view screen) that can receive tag information to be input to the tagging processing unit 160 from the information input terminal 500 to the information input terminal 500 . can be provided as The information input terminal 500 may be a manager terminal capable of receiving order data, inputting tag information corresponding thereto, and transmitting the information to the tagging processing unit 160 .

Here, the tag interface may include an image input interface (eg, a registered image area) for receiving image information in response to the first order data for inputting tag information. The standardized order data may include image information, but order data without image information may also exist. Accordingly, the information input terminal 500 may output an image input interface capable of indexing and inputting product image information corresponding to the standardized order data.

And, when image information is input from the information input terminal 500 , the tagging processing unit 160 may map the input image information to standardized order data and store it in the database management unit 140 . Here, the image information may be an image file or may include web address information to which the image file is linked.

In addition, the tagging processing unit 160 may provide recommended tag information corresponding to the first order data through the tag interface. Here, the recommendation tag information may be obtained from tag history information of similar order data within a certain degree of similarity to the product image mapped to the first order data.

The tagging processing unit 160 may perform an index request and response reception processing to the database management unit 140 for tag history indexing of similar order data. The tagging processing unit 160 may transmit the tag history of the similar order data obtained according to the index of the database management unit 140 to the information input terminal 500 .

Then, the user of the information input terminal 500 selects specific similar order data corresponding to the first order data from among the received histories, so that one or more tag information among the tag history information of specific similar order data is applied to the first order data can be handled as much as possible.

Accordingly, the tagging processing unit 160 may receive the order data input through the tag interface and tag information corresponding thereto, and store and manage the received tag information through the database management unit 140 .

As a result, the tagging processing unit 160 converts the order data for product purchase into the standardized order data structured according to the preset order book conversion rule setting information, and features information (that is, tag information including tag attributes and tag attribute values). It can be seen that mapping can be processed. That is, the tagging processing unit 160 receives a product image of standardized order data to be mapped with characteristic information (tag information) through the interface processing unit 130, and receives any one similar product from among one or more similar product images similar to the product image. As the image is selected, it is determined that the characteristic information donated to the selected similar product image is characteristic information to be necessarily applied to the product image (ie, registered product image), and the determined characteristic information is applied to the product image (ie, registered product image). Received product image) can be mapped to standardized order data. In this case, the analysis unit 170 analyzes the product image of the standardized order data to be mapped, searches for a similar product image similar to the corresponding product image, and provides the searched similar product image to the information input terminal 500 . have. For example, the analysis unit 170 according to a preset reflection ratio of color and shape (eg, color 40% reflection and shape 60% reflection, color 60% reflection, shape 40% reflection, etc.) By analyzing the product image, it is possible to search for similar product images similar to the corresponding product image.

In addition, when there is an additionally selected tag attribute in addition to the determined characteristic information, the tagging processing unit 160 may additionally map the additionally selected tag attribute and the tag attribute value to the standardized order data of the product image.

According to such processing, individual tag information mapping based on order data is possible, and order data to which tag information and product image information are mapped can be used for analysis processing by the analysis unit 170 , and based on the analysis result It can be used for the trend analysis service processing of the trend analysis service unit 182 or the product recommendation service of the product recommendation service unit 183 .

For example, the analysis unit 170 may perform various trend analysis and product recommendation analysis processing based on tag information and image information according to input of analysis setting information set in the information input terminal 500 . Here, the product recommendation analysis process analyzes the color and/or shape of the image of the search product input as the search mode is selected, and based on the tag information for each order data managed by the database management unit 140, the same or It may refer to processing to extract information of similar products.

When the trend analysis is processed by the analysis unit 170 , the trend analysis service of the trend analysis service unit 182 according to the processing result may be provided to the retail terminal 300 , the wholesale terminal 400 , or the purchase terminal 200 . have. This makes it possible to provide a differentiated analysis service in consideration of wholesale information, retail information, and purchase information, unlike the existing product purchaser-based analysis service. For example, the trend analysis service unit 182 is a new analysis element based on order data, such as popular wholesale mall information based on wholesale information, sales trend information on a specific floor of a popular wholesale building, and a shopping mall trend where a lot of specific items are wholesale/retail traded. The analysis interface to which they are applied may be provided to the retail terminal 300 , the wholesale terminal 400 , or the purchase terminal 200 .

In addition, when the product recommendation analysis is processed by the analysis unit 170 , the product recommendation service of the product recommendation service unit 183 according to the processing result is sent to the retail terminal 300 , the wholesale terminal 400 , or the purchase terminal 200 . can be provided.

The product recommendation service unit 183 may provide a product recommendation service in a novel aspect according to the tag information-based trend analysis of the analysis unit 170 for standardized order data. For example, the analysis unit 170 may derive correlations with weather, seasons, social events, etc. from the wholesale/retail order quantity information by year, period, item, and attribute based on the tag information. The product recommendation service unit 183 may provide a new product recommendation service for recommending wholesale/retail products to the retail terminal 300 , the wholesale terminal 400 , or the purchase terminal 200 according to the occurrence of such an event.

Meanwhile, the user information management unit 190 may process user registration for service provision of the purchase terminal 200 , the retail terminal 300 , or the wholesale terminal 400 , and retail information for user registration and wholesaler information Alternatively, the purchaser information may be received and stored and managed in the database management unit 140 .

In particular, the above-described analysis unit 170 is based on the standardized order data and the tag information mapped to the standardized order data, any of the search mode (eg, photo shooting search mode, gallery photo search mode, and history image search mode) 1), you can analyze the search product input. In this case, the analysis unit 170 analyzes the color and/or shape of the image of the input search product based on the standardized order data and the database in which tag information mapped to the standardized order data is stored to be identical to the search product. or information on similar products can be extracted. In addition, the analysis result analyzed by the analysis unit 170 may be stored in the database management unit 140 .

In addition, the above-described service providing unit 180 may provide product recommendation information based on the analysis result of the analysis unit 170 to the retail terminal 300 and/or the wholesale terminal 400 , and product recommendation information According to the order request corresponding to the retail, wholesale, and buy-to-order e-commerce based order service can be provided. Here, the service providing unit 180 can sort the information of the same or similar products extracted by the analysis unit 170 into any one of accuracy, low price, and high price, and request an order for any one product among product recommendation information. You can create a new order form upon receiving In addition, the generated new order book may be stored in the database management unit 140 .

3 is a block diagram illustrating the database management unit 140 in more detail according to an embodiment of the present invention.

The database manager 140 may include one or more databases for the functional operation of the service providing apparatus 100 described above. For example, the database management unit 140 includes a user information database 141, an order information database 142, a tagging information database 143, an image information database 144, a message information database 145, and an analysis information database ( 146) may be included.

The user information database 141 includes retail information, wholesale information or purchaser information of the purchase terminal 200, the retail terminal 300, or the wholesale terminal 400 registered through the user information management unit 190 to provide a service. can be received, stored and managed. The user information may include, for example, at least one of user name information, affiliation information, industry classification information (wholesale, retail, purchase, etc.), address information, contact information, login information, and terminal device information.

The order information database 142 may store and manage order data processed by the order data management unit 110 by mapping the order information processed by the standardization processing unit 120 and standardized order data. In addition, the order information database 142 provides standardized order data as components necessary for the overall functional operation of the service providing apparatus 100 .

The order information database 142 may store information of the generated new order form.

The tag information database 143 may store and manage information obtained by mapping the tag information input from the tagging processing unit 160 to the standardized order data of the order information database 142 . The tag information database 143 provides tag information to the analysis unit 170 to perform data analysis processing, or provides tag information to the tagging processing unit 160 to output similar tag history through the tag interface. can

The image information database 144 may store and manage mapping information between the image information input from the tagging processing unit 160 or the order data management unit 110 and the standardized order data of the order information database 142 together. The image information database 143 may provide image information to the analysis unit 170 to perform image analysis processing, or may provide image information to the tagging processing unit 160 to be used for similar tag history indexing. .

The message information database 145 may store and manage messages input/output through a conversation message interface processed through the message processing unit 150 . As described above, the message information database 145 may be analyzed and processed by the analysis unit 170 and processed as analysis data such as product defect rate, friendliness, response time, and the like.

Meanwhile, the analysis information database 146 may collect, classify, and store data analysis processing results in the analysis unit 170 . The analysis unit 170 may perform image analysis, various trend analysis based on tag information, product recommendation analysis, and the like, based on the standardized order data and the mapping data. Since the service providing unit 180 processes the analysis result and provides it to the terminals (purchasing terminal 200, retail terminal 300, wholesale terminal 400), the analysis information database 146 sets the analysis Information, analysis results, and processed analysis information may be mapped to each other, and stored and managed.

4 is a block diagram showing the information input terminal 500 according to an embodiment of the present invention in more detail.

The information input terminal 500 may include an input unit 5001 , a receiving unit 5002 , a display unit 5003 , and a control unit 5004 .

The input unit 5001 may input tag information and related additional information corresponding to the order data standardized in the service providing apparatus 100 .

Also, the input unit 5001 may input trend analysis setting information to the service providing apparatus 100 .

Also, the input unit 5001 may input a similar product recommendation command according to an image search to the service providing apparatus 100 , and may input a specific product purchase command according to a trend analysis result or a popular product extraction result.

The receiving unit 5002 may receive standardized order data processed by the service providing apparatus 100, and mapping data processed by the service providing apparatus 100 (ie, image information and features for each standardized order data) data in which the indicated tag information is mapped to each other) may be received, and a trend analysis result and similar product recommendation result processed by the service providing apparatus 100 may be received.

The display unit 5003 displays the mapping data received by the receiving unit 500 (that is, data in which image information for each standardized order data and tag information indicating characteristics are mapped to each other), trend analysis results, and similar product recommendation results. screen can be displayed.

The control unit 5004 may control the overall operation of the corresponding information input terminal 500 , but may control information exchange between the input unit 5001 , the receiver 5002 , and the display unit 5003 smoothly.

5 to 7 are sequence diagrams for explaining an operating method of an apparatus supporting tagging of characteristic information corresponding to standardized order data according to an embodiment of the present invention, and FIGS. 8 to 16 are an embodiment of the present invention This is an example of a screen employed to describe an operation method of a device supporting tagging of characteristic information corresponding to standardized order data.

Since the operation of the apparatus supporting the feature information tagging corresponding to the standardized order data according to the embodiment of the present invention is mainly performed between the service providing apparatus 100 and the information input terminal 500, hereinafter, various information exchange between them is performed. It is explained by the operation through .

As described above, the information input terminal 500 is a tagger (eg, a fashion designer or MD (Merchandiser)) or an inspector (for example, a fashion designer or MD (Merchandiser)) or an inspector ( Since it is a terminal used by the administrator), the user of the information input terminal 500 first inquires the tagging list distributed to him/her.

That is, the user of the information input terminal 500 requests a tagging list inquiry to tag the standardized order data with feature information (S10).

Accordingly, a tagging list inquiry request signal corresponding thereto is transmitted to the service providing apparatus 100, and the service providing apparatus 100 displays a predetermined tagging list inquiry screen (refer to FIG. 8) in response thereto to the corresponding information input terminal ( 500) to (S12). In FIG. 8 , order information to be tagged by the user of the corresponding information input terminal 500 is listed in numerical order. For example, when the user of the corresponding information input terminal 500 clicks the order information area 10 located under each order number in FIG. 8 , as shown in FIG. 9 , order information for the corresponding order number can be confirmed. .

And, when a number to be tagged is selected in the information input terminal 500 (S14), for example, if the order number 5 is clicked in FIG. 8, the information input terminal 500 provides the corresponding number selection information to the service providing device ( 100) to (S16).

Next, the service providing apparatus 100 transmits the image input screen as shown in FIG. 10 to the corresponding information input terminal 500 (S18). If you click "View Order Information" on the upper right corner of the image input screen of FIG. 10, the order information illustrated in FIG. company name, etc.).

The user of the corresponding information input terminal 500 confirming the order information registers a product image corresponding to the order information (ie, standardized order data) (S20). For example, the user of the information input terminal 500 may find and register a product image linked to the corresponding order information from information pre-stored in the database management unit 140 of the web or service providing apparatus 100 . If an image is included in the retailer's order information, the image can be registered immediately. have. In this case, the user of the corresponding information input terminal 500 may not only register the product image but also input information such as a photo source and reference URL of the registered image. The reason for registering a product image corresponding to the retailer's order information or registering an image for each product uploaded by a wholesaler is the pre-stored product image (more specifically, the corresponding product) when tagging later. This is because it has the advantage that faster tagging is possible because the tag information can be directly imported and used as tag information.

When the registration of the product image is completed in this way (ie, when the confirmation button 12 is clicked in FIG. 10 ), the registered image is transmitted to the service providing apparatus 100 ( S22 ).

Accordingly, the service providing apparatus 100 includes a registration image area 14 , a tag attribute list area 16 , a tag attribute value input area 18 , and a similar product image list area 20 as shown in FIG. 11 . A tagger view screen (ie, tag interface) is generated and transmitted to the corresponding information input terminal 500 (S24, S26). Here, the product image registered by the user of the corresponding information input terminal 500 is displayed in the registered image area 14 , and various tag attributes that can be assigned to the registered product image (eg, in the tag attribute list area 16 ) . , similar product images in the similar product image list area 20 are displayed similar to the product image in the registered image area 14 in color and shape. In this case, the similar product image in the similar product image list area 20 may be disposed at a higher level as the degree of similarity increases. That is, the service providing apparatus 100 is similar according to a preset color and shape reflection ratio (eg, color 40% reflection and shape 60% reflection, color 60% reflection, shape 40% reflection, etc.) You can search for product images. The similar product image list area 20 includes an area 21 for displaying the image similarity percentage, an area 22 for displaying a similar product image, an area 23 for displaying set information of the corresponding similar product, and an attribute of currently being tagged. It may include an area 24 for displaying similar product tag attribute value information, and an area 25 for displaying basic product and tagging information for a corresponding similar product image. For example, if the area 23 is selected (clicked), the corresponding set properties are applied collectively, and if the area 24 is selected (clicked), the tag attribute value displayed in the area 24 is the value of the tag property currently being tagged. It can be added to the attribute value.

Thereafter, when the user of the information input terminal 500 selects any one similar product image in the similar product image list area 20 of the tagger view screen (refer to FIG. 11 ), the corresponding similar product image selection information is provided to the service providing device ( 100) to (S28, S30).

Accordingly, the service providing apparatus 100 extracts the tag attribute and the tag attribute value to be necessarily applied to the registered image (that is, the image on the registered image area 14) and transmits it to the corresponding information input terminal 500 (S32, S34). Here, the tag attribute and the tag attribute value to be necessarily applied are the tag attribute and the tag attribute value donated to the selected similar product image. Since the tag attribute and tag attribute value donated to the similar product image are already stored and registered in the database management unit 140 , the service providing apparatus 100 provides the tag attribute and tag attribute value that must be essentially applied to the registered image. can be easily extracted.

As a result, the information input terminal 500 displays the tag attribute and the tag attribute value to be necessarily applied to the registered image in a pop-up type as shown in FIG. 12 . Here, the mandatory applied tag information displayed in a pop-up type in FIG. 12 may be referred to as tag information (ie, tag attribute and tag attribute value) donated to the corresponding similar product image.

If the user of the information input terminal 500 clicks the confirmation button 12 in FIG. 12 (“Yes” in S36), the information input terminal 500 provides the corresponding confirmation selection information to the service providing device 100 to (S38).

Accordingly, the service providing apparatus 100 determines the tag attribute and the tag attribute value displayed in FIG. 12 as the tag attribute and the tag attribute value to be necessarily applied to the image registered in the registered image area 14 .

Then, the service providing apparatus 100 inputs the determined tag attribute and tag attribute value to the tag attribute list area 16 (S40), and displays a screen (see FIG. 13) in which the required applied tag information is inputted to the corresponding information input terminal ( 500) to (S42).

If there is no tag attribute to be added other than the required applied tag information of FIG. 13 , the user of the corresponding information input terminal 500 clicks the confirmation button (“Yes” in S44). Accordingly, the corresponding confirmation selection information is transmitted to the service providing apparatus 100 (S46).

Next, the service providing device 100 converts the input essential information tag information (ie, information input to the tag attribute list area 16 of FIG. 13 ) to the corresponding order information (ie, the image registered in the registration image area 14 ). Order information corresponding to ) is mapped (applied) to the batch (S48).

Then, the service providing apparatus 100 stores the mapping information in the database management unit 140 (S50).

Conversely, if there is a tag attribute to be added other than the mandatory applied tag information of FIG. 13 , the user of the corresponding information input terminal 500 selects the tag attribute to be added from the tag attribute list area 16 ( S52 ). For example, assume that the user has selected "Kara".

Accordingly, an additional selection signal corresponding thereto is transmitted to the service providing apparatus 100 (S54), and the service providing apparatus 100 enters the tag attribute value input area for the additionally selected tag attribute. (18) is activated (S56).

Then, the service providing apparatus 100 transmits the screen (see FIG. 14 ) including the activated tag attribute value input area 18 to the corresponding information input terminal 500 ( S58 ).

The user of the information input terminal 500 may additionally input any one of various tag attribute values presented in the tag attribute value input area 18 of FIG. 14 . In this case, the user of the information input terminal 500 may place a cursor on the tag attribute value to be checked in order to confirm what each tag attribute value is. In this way, a tagging reference screen (not shown) corresponding thereto is additionally displayed at the lower end of the corresponding tag attribute value of the tag attribute value input area 18 . For example, when it is desired to check what type of "shirt collar" in the tag attribute value input area 18 is, an example screen (ie, a tagging reference screen) showing the shape of the shirt collar may be additionally displayed. It should be understood that such a tagging reference screen is generated by the service providing apparatus 100 and transmitted to the information input terminal 500 . Meanwhile, since the service providing apparatus 100 manages the restrictions between tag attributes, it is assumed that the tag attribute value input area 18 of FIG. 14 exposes only inputtable tag attribute values for the selected additional tag attribute. The reason for managing the constraints between tag attributes in this way is to reduce tag candidates during tagging, and the constraints can be managed in consideration of the correlation between tag attributes. For example, if "blouse" is selected as the "item (medium)" input value as shown in FIG. 15, "A-line", "H-line", ... Only "Empire Line" can be exposed.

If the user of the information input terminal 500 selects any one tag attribute value (eg, "Chinkara") in the tag attribute value input area 18 of FIG. 14 , the information input terminal 500 displays the corresponding tag The attribute value additional input information is transmitted to the service providing apparatus 100 (S60, S62).

Accordingly, the service providing apparatus 100 inputs the added tag information (that is, the added tag attribute (eg, collar) and the corresponding tag attribute value (eg, chinkara)) into the tag attribute list area 16, The screen (refer to FIG. 16) on which the added tag information is input is transmitted to the corresponding information input terminal 500 (S64, S66).

Then, the user of the corresponding information input terminal 500 clicks the confirmation button (“Yes” in S68). Accordingly, the corresponding confirmation selection information is transmitted to the service providing apparatus 100 (S70).

Next, the service providing apparatus 100 maps the input essential information tag information and the added tag information to the corresponding order information (ie, order information corresponding to the image registered in the registered image area 14) (S72).

Then, the service providing apparatus 100 stores the mapping information in the database manager 140 (S74).

In the above description, it is assumed that the user manually registers the product image corresponding to the order information to be tagged. However, if necessary, the service providing apparatus 100 may automatically search for and register the product image.

17 is a block diagram illustrating the analysis unit 170 in more detail according to an embodiment of the present invention.

As described above, the analysis unit 170 according to an embodiment of the present invention obtains the standardized order data to which tag information is mapped from the order information database 142 and the tag information database 143, and based on the tag information Order trend analysis according to various setting conditions of may be performed, and the analysis result may be stored in the analysis information database 146 .

The service providing unit 180 may process and provide the analysis result of the analysis information database 146 to the service subscriber terminal requesting trend analysis, such as the retail terminal 200 , through the trend analysis service unit 182 . .

In particular, the existing product trend analysis simply provides only consumer trends such as the number of reviews, clicks, and recommendations of final consumers, so the behavior of retailers, wholesalers, or buyers is not considered at all, so the analysis limitations are clear.

Accordingly, the trend analysis service unit 182 according to an embodiment of the present invention uses standardized order data that is actually traded between retail, wholesale, and purchase rather than final consumer evaluation, and trends required for actual retailers, wholesalers, or buyers. The analysis can be performed and the result information can be provided in the form of an analysis interface, and by utilizing the pre-given tag information to facilitate such analysis, the wholesale/retail order data trend differentiated from the current trend analysis service is Considered trend analysis information can be provided.

Accordingly, analysis information that considers trend factors to be considered in distribution such as wholesale or retail of wholesalers or retailers may be provided.

In particular, by using the order information data accumulated through the wholesale, retail, and purchase intermediary service based on the standardized order data according to an embodiment of the present invention, and tag information mapped thereto, without additional information collection for this purpose, It has the advantage of being able to predict and perform industry-wide trend analysis specialized for wholesale and retail while minimizing the time and cost of analyzing other competitors.

To perform the above analysis, the analysis unit 170 according to an embodiment of the present invention includes a trend setting information processing unit 171 , a tag-based order data analysis unit 173 , and a result processing unit 175 .

The trend setting information processing unit 171 receives setting information for trend analysis and transmits it to the tag-based order data analysis unit 173 .

The tag-based order data analysis unit 173 extracts the analysis target data corresponding to the setting information from the order information database 142 and the tag information database 143, and according to the setting information corresponding to the analysis target data Analytical processing is performed. Accordingly, the analysis result may be processed by the result processing unit 175 and provided to the service subscriber terminal through the trend analysis service unit 183 .

Here, the service subscriber terminal may be any one of the purchase terminal 200 , the retail terminal 300 , and the wholesale terminal 400 , and in an embodiment of the present invention, receiving and outputting the analysis result from the retail terminal 300 . For example, the content of the present invention is not limited to the subject of the terminal.

Meanwhile, setting information for trend analysis may be set based on item information of standardized order data. By inputting setting information for items of standardized order data to which tag information is allocated, it is possible to analyze a wholesale and retail trend in a different form than before.

Here, the analysis setting information may include tag information obtainable from standardized order data, for example, the setting information may include wholesale information, wholesale store information, wholesale building information, and floor information for each wholesale building, and the analysis target In response, the information may include order quantity information for each category ordered by the retailers, and the like. In this case, it is possible to analyze a wholesale market trend with a high order quantity of a specific item, and as such, a wholesale and retail trend analysis of a different aspect from the final consumer's purchase can be processed.

Furthermore, the analysis setting information may be various tag information that can be assigned to standardized order data, and complex analysis is also possible according to the setting. And since it can be analyzed based on standardized data from a retail point of view, it becomes possible to analyze trends on bulk orders from wholesalers and retailers, which are difficult to judge by simple consumer evaluation.

18 is a flowchart illustrating an operation method of an analysis unit performing trend analysis according to a first embodiment of the present invention, and FIG. 19 is an exemplary diagram of analysis setting information.

Referring to FIG. 18 , the trend analysis service unit 183 according to the first embodiment of the present invention transmits popular product list information by order trend analysis based on tag information at the request of the retail terminal 300 to the retail terminal 300 . ) can be provided.

To this end, the analysis unit 170 first extracts product information for each tag-based classification of the order data mapped with the tag information database 143 extracted according to the setting information among the order data obtained from the order information database 142 ( S101). Here, the classification may refer to the classification of goods according to the system of large classification, medium classification, and small classification.

Then, the analysis unit 170 performs a leveling process for each ranking section according to the sales volume information of the order data accumulated for a set period in response to the product information for each tag-based classification (S103).

Thereafter, the analysis unit 170 determines the popularity of each item according to the ranking level (S105).

Accordingly, the trend analysis service unit 183 generates a list of popular products according to the determined popularity of each item, and provides the generated list to the service subscriber terminal (S107).

According to an embodiment of the present invention, as shown in FIG. 19(A) , the analysis setting information may include item classification information, and in general, it may be preferable to classify clothing and the like by a large classification and a medium classification. .

And, according to an embodiment of the present invention, as shown in FIG. 19(B) , the analysis setting information includes period classification information, release date information, sales period information, ranking reference information, type information, and middle classification obtainable based on order data. It may include information on the minimum sales amount per star. The period classification information may be easy to distinguish whether it is a new product, a recently popular product, or a bestseller product, and the ranking criteria for each type may be determined differently. In addition, by setting the minimum sales volume information, only meaningful sales volume information may be set to be used for trend analysis.

According to this processing, the analysis unit 170 may determine the level for each popular ranking section according to the sales volume information and the extraction criteria for each type in the wholesale and retail popular product analysis. In addition, since sales volume information within the determined popular ranking section can be used for trend analysis, more accurate popular product trend analysis may be possible.

20 is a flowchart illustrating an operation method of an analysis unit performing trend analysis according to a second embodiment of the present invention.

Referring to FIG. 20 , the analysis unit 170 for trend analysis according to the second embodiment of the present invention acquires tag setting information for trend analysis ( S201 ).

Then, the analysis unit 170 performs statistical analysis based on the tag setting information corresponding to the standardized order data (S203).

Then, the analysis unit 170 generates an analysis interface by processing the statistical analysis result information (S205).

Then, the analysis unit 170 provides the generated analysis interface to the service subscriber terminal (S207).

21 to 25 are diagrams for explaining a trend analysis result interface of order data according to an embodiment of the present invention.

According to an embodiment of the present invention, the analysis unit 170 may process the wholesale/retail trend analysis result information according to the request of the retail terminal 300 and provide it to the retail terminal 300 , and the interface processing unit 130 processes the information. The analyzed result information can be provided through the analysis interface.

Referring to FIGS. 21 to 22 , the analysis interface may include sales trend information and weight information by middle category of a specific wholesale or retail item based on order data to which tag information is mapped.

For this data analysis, the analysis unit 170 may perform pie chart analysis, for this purpose, tag information may be set as item information by middle category, and order data to be analyzed may be set as accumulated sales volume information for a specific period. . Here, the middle classification system is as exemplified in FIG. 19(A) described above.

Accordingly, referring to FIGS. 21 to 22, for the outer, which is a large category, padding (10.11%), a coat (10.47%), a jumper (11.59%), a jacket (26.64%), a cardigan ( 41.19%) each sales proportion graph may be calculated, and sales trend information for each quarter may be calculated as a graph as shown in FIG. 22 .

Here, the inflection point of the sales trend graph may indicate a sharp increase or decrease in sales volume. The analysis unit 170 may provide the calculated graph to the retail terminal 300 or the like through the analysis interface.

The graph on the analysis interface analyzes the order data mapped using the tag information collected in advance. Appropriate trend forecasting becomes possible.

23 to 26 show the sales volume heat map analysis interface for each building floor and classification provided through the analysis interface according to an embodiment of the present invention.

First, as shown in FIG. 23 , the analysis interface according to an embodiment of the present invention analyzes the wholesale building and item sales volume heat map by floor using standardized order data to which tag information managed between wholesale, retail, and purchase is mapped. information can be provided.

For example, in order to process as shown in FIG. 23 , the analysis unit 170 sets the tag information to be filtered as building A, the X axis is set as the floor level of the building, and the Y axis is set as a large category item, It is possible to set the color density of the bucket area formed by the division of each X-axis and Y-axis to vary according to the sales volume. A sales volume heat map may be formed according to the variation of the color or color intensity, and a relatively dark or light color may indicate more sales volume.

Accordingly, as shown in FIG. 23, in the wholesaler A building, the clothing TOP item product group is sold the most on the first floor and is mainly sold on the second floor, and the BOTTOM product group is generally sold over the first, second, and third floors. It can be seen that the DRESS product group is mainly sold only on the first floor.

Similarly, referring to FIG. 24 , the heat map analysis results for each floor and middle category of building A are shown, and among the major category TOP, the sales volume is high from the left of the X axis by product groups such as blouse, shirt, best, top and bottom set, and jumper. It can be analyzed and processed so that it is listed from layer to layer. For example, in the case of blouses, the second floor has the highest sales, and in the case of coats, it can be predicted from the color density that the wholesale market on the 4th floor leads the trend.

25 and 26 show the sales volume heat map analysis interface for each floor and major category of the building B, which is another building, and the sales volume heat map analysis interface for each floor and middle category, and the generation method and analysis method are shown in FIGS. It can be treated in the same way as the case.

Such trend analysis information enables analysis of the wholesale market leading the trend and the main items on each floor. have.

Furthermore, this trend analysis information allows comparing not only wholesale information, but also the quantity of orders under various conditions such as season, period, historical event, and situational condition according to tag analysis, so as time passes and data accumulates, more and more diverse trend analysis services are provided. be able to do

27 is a block diagram illustrating in more detail a retail terminal that is an example of a service subscription terminal according to an embodiment of the present invention.

The retail terminal 300 and the service providing apparatus 100 may provide a tag-based trend analysis service of order data while communicating with each other.

To this end, the retail terminal 300 may include an input unit 301 , a receiving unit 302 , a display unit 303 , and a control unit 304 .

The input unit 301 receives a search mode and a desired search condition.

That is, the user (retailer) of the retail terminal 300 determines which commodity item is the most popular (ie, best-selling) in a specific region, and who has traded the most (ie, sold) the commodity item in the specific region. ) What is a wholesale market, and there is a desire to see what the wholesale trends are in the wholesaler that sells the most popular items in a particular region.

Alternatively, a user (retailer) of the retail terminal 300 can determine where a particular commodity item is best sold, which wholesaler in that region sells the particular commodity item the most, and where the particular commodity item is best sold. There is a desire to check the wholesale trend of the wholesalers that traded the most specific product items in the region where they are sold.

In order to satisfy the needs of the user (retailer) of the retail terminal 300 , the input unit 301 may preferentially receive a region name or a product item as a search condition.

And, receiving the above-described search mode means that the search mode is selected.

Also, the input unit 301 may transmit the received search mode and search condition to the service providing apparatus 100 .

In other words, the input unit 301 receives a predetermined search request from the user (retailer) of the retail terminal 300, and provides the contents of the received search request (eg, including a region or product item as a search condition) as a service. may be sent to the device 100 .

The receiving unit 302 may receive, from the service providing apparatus 100 , wholesale trend analysis information on popular product items in a specific region based on the search condition. Of course, the receiving unit 302 may also receive predetermined search result information from the service providing apparatus 100 .

Here, the wholesale trend analysis information can be said to be information generated based on a search condition.

For example, when the search condition input from the input unit 301 is a specific region, the search result information received by the receiving unit 302 may select the most popular product item and the most popular product item in the specific region. It may be information about the wholesaler that traded the most in the region. Here, as the information on the above-mentioned wholesale shop, there may be the name and location of the wholesale shop, information of the wholesaler that traded the most corresponding product items in the wholesale shop (eg, the name of the wholesale shop, the floor where it is located), and the like.

In addition, when the search condition input from the input unit 301 is a specific region, the wholesale trend analysis information received by the receiving unit 302 includes a specific region, a product item found as the most popular in the specific region, and the searched product item. It may be information generated based on the most frequently traded wholesale prices.

In other words, when the search condition input from the input unit 301 is a specific region, the receiving unit 302 may receive wholesale trend analysis information on the wholesaler that trades the most popular product items in the specific region. . The wholesale trend analysis information at this time includes the total sales volume and total sales amount by sales period, sales trend information, sales proportion information, heat map analysis information for each floor of the wholesale mall building, etc. This can be. Such wholesale trend analysis information may take the same form as in FIGS. 19 and 21 to 26 described above.

On the other hand, when the search condition input from the input unit 301 is a specific product item, the search result information received by the receiving unit 302 is the region in which the specific product item is best sold, and the specific product item in the region. It may be information about a wholesaler that traded a lot. In this case, as the information on the above-mentioned wholesale shop, there may be the name and location of the wholesale shop, information on the wholesaler that traded the most specific product items in the wholesale shop (eg, the name of the wholesale shop, the floor where it is located), and the like.

In addition, when the search condition input from the input unit 301 is a specific product item, the wholesale trend analysis information received by the receiving unit 302 may include a specific product item and a specific product item in the searched region where the specific product item is best sold and in the searched region. It may be information generated based on a wholesale price that traded the most product items.

In other words, when the search condition input from the input unit 301 is a specific product item, the receiving unit 302 provides wholesale trend analysis information on the wholesaler that traded the most specific product item in the region where the specific product item is best sold. can receive The wholesale trend analysis information at this time includes the total sales volume and total sales amount by sales period of the specific product item in the region and wholesale mall searched based on the specific product item, sales trend information, sales proportion information, sales hit by floor of the wholesale mall building There may be map analysis information and the like. Such wholesale trend analysis information may take the same form as in FIGS. 19 and 21 to 26 described above.

As a result, the receiving unit 302 may receive predetermined wholesale trend analysis information from the service providing device 100, where the wholesale trend analysis information is a popular trend in a specific region based on a search result searched according to the content of the search request. It may be wholesale trend analysis information for product items.

The display unit 303 may display the search result information and the wholesale trend analysis information received by the receiving unit 302 on the screen.

The controller 304 may control the overall operation of the corresponding retail terminal 300 , but may control information exchange between the input unit 301 , the receiver 302 , and the display unit 303 smoothly.

Accordingly, since the retail terminal 300 configured as described above can provide a tag-based trend analysis result of order data to a retailer, the retail terminal 300 is a terminal that provides a tag-based trend analysis service of order data. can be an example.

28 is a block diagram illustrating an internal configuration of an analysis unit according to another embodiment of the present invention.

The analysis unit 170 according to another embodiment of the present invention may process wholesale trend analysis for popular product items in a specific region based on the standardized order data and tag information of the database at the request from the service subscriber terminal. can Also, the analysis unit 170 may transmit wholesale trend analysis information on popular product items in a specific region to the corresponding service subscriber terminal.

To this end, the analysis unit 170 according to another embodiment of the present invention includes a local search unit 1711 , a product search unit 1722 , and a shopping mall search as illustrated in FIG. 28 , in addition to the components shown in FIG. 17 . It may further include a unit 1733 and a trend analysis unit 1744 .

When a product item is received as a search condition from the retail terminal 300 , the region search unit 1711 may search for a region (eg, region name, etc.) in which the product item is best sold.

When receiving a region name as a search condition from the retail terminal 300 , the product search unit 1722 may search for the most popular (ie, best-selling) product item in the search area.

The shopping mall search unit 1733 may search for a wholesale shop that has traded (ie, sold) the most with respect to regional product items.

For example, when the product search unit 1722 searches for the most popular product item in the search area (eg, region A), the shopping mall search unit 1733 may search for the searched product within the corresponding search region (eg, region A). You can search for information on the wholesaler that traded the most items. Here, as the wholesaler information, there may be the name and location of the corresponding wholesaler, information on the wholesaler that traded the most specific product items (eg, the name of the wholesaler, the floor where it is located), and the like.

Alternatively, the shopping mall search unit 1733 searches for a region (eg, region B) in which the searched article (ie, product item) is best sold by the local search unit 1711, the searched region (eg, region B) You can search the information of the wholesaler that traded the most searched item (ie, product item) within the . Here, as the wholesaler information, there may be the name and location of the corresponding wholesaler, information on the wholesaler that traded the most specific product items (eg, the name of the wholesaler, the floor where it is located), and the like.

Information searched for by the above-described local search unit 1711 , product search unit 1722 , and shopping mall search unit 1733 may be transmitted to the retail terminal 300 .

The trend analysis unit 1744 may analyze a wholesale trend in a regional wholesale market for a product item.

For example, in the trend analysis unit 1744, after the product search unit 1722 searches for the most popular product item in the search region (eg, region A), the shopping mall search unit 1733 performs the search in the corresponding search region (eg, region A). If a wholesale store that traded (ie, sold) the most searched product item within A) is searched, the You can analyze wholesale trends. In this case, the trend analysis unit 1744 for the searched product item is the total sales volume and total sales amount by sales period, sales trend information, sales proportion information, sales volume heat map analysis information for each floor of the wholesale mall building, etc. The same trend analysis information can be output. Here, it is believed that the above-described wholesale trend analysis information can be fully understood by those skilled in the art through FIGS. 19 and 21 to 26 described above.

Meanwhile, in the trend analysis unit 1744 , after the local search unit 1711 searches for the name of the region in which the specific product item is best sold, the shopping mall search unit 1733 searches for the specific product in the region where the specific product item is best sold. If you searched for a wholesaler that traded (ie, sold) the most items, you can analyze the wholesale trends in the wholesaler that traded the most for that specific product item in the region where the specific product item is best sold. In this case, the trend analysis unit 1744 includes the total sales volume and total sales amount by sales period in the region and wholesale mall searched for the specific product item, sales trend information, sales proportion information, sales volume heat map analysis information for each floor of the wholesale mall building, etc. Trend analysis information can be output. Here, it is believed that the above-described wholesale trend analysis information can be fully understood by those skilled in the art through FIGS. 19 and 21 to 26 described above.

As described above, the wholesale trend analysis information from the trend analysis unit 1744 is transmitted to the retail terminal 300 . For example, the trend analysis service unit 182 in the service providing unit 180 is a popular wholesale shopping center information based on wholesale information, a specific floor sales trend information of a popular wholesale building, a shopping mall trend in which a lot of specific items are wholesale/retail traded, etc. Since it is possible to provide an analysis interface to which new analysis elements based on order data are applied to the retail terminal 300 , the wholesale terminal 400 or the purchase terminal 200 , the wholesale trend analysis information in the trend analysis unit 1744 is described above. It may be transmitted to the retail terminal 300 through an analysis interface.

The local search unit 1711 , the product search unit 1722 , and the shopping mall search unit 1733 are stored in a database (eg, the user information database 141 , the order information database 142 , and the tag information database 143 ). Based on the stored information, each search operation may be performed.

In the part described with reference to FIG. 3 , the order information database 142 is described as being able to store and manage order data processed by the order data management unit 110 by mapping the order data standardized by the standardization processing unit 120 . did. In addition, it has been described that the tag information database 143 can store and manage information obtained by mapping the tag information input from the tagging processing unit 160 to the standardized order data of the order information database 142 .

Accordingly, in order to properly perform the search operation of the local search unit 1711, the product search unit 1722, and the shopping mall search unit 1733, the order information database 142 is It is assumed that standardized order data generated based on order form information received at each wholesaler is additionally stored in advance. In addition, it is assumed that the tag information database 143 additionally stores tag information mapped to standardized order data for each wholesale shop in the regional wholesale shop stored in the order information database 142 in advance. In addition, data and information stored in the order information database 142 and the tag information database 143 can be updated.

Meanwhile, if necessary, wholesale trend analysis information in the trend analysis unit 1744 may be stored in the analysis information database 146 .

In addition, as described above, the service providing apparatus 100 including the analysis unit 170 configured as shown in FIG. 28 may provide the tag-based trend analysis result of the order data to the retail terminal 300 , and thus providing such a service The device 100 may be an example of a device that provides a tag-based trend analysis service of order data.

29 is a view for explaining an operation of providing a tag-based trend analysis service of order data in a service subscription terminal and a service providing apparatus according to an embodiment of the present invention.

First, the retail terminal 300 receives a search mode and a search condition (eg, a name of a specific area) (S301).

Then, the retail terminal 300 transmits the received search mode and search condition (eg, the name of a specific area) to the service providing apparatus 100 ( S303 ).

Next, the service providing apparatus 100 searches for the most popular product item in a specific region input as a search condition (S305).

In addition, the service providing apparatus 100 searches for a wholesale store that traded (ie, sold) the most popular product items found in the specific region ( S307 ). Accordingly, the service providing apparatus 100 may obtain, for example, information on the wholesaler, such as the name and location of the searched wholesaler, information on the wholesaler that trades the most specific product items (eg, the name of the wholesaler, the floor where it is located), and the like.

Thereafter, the service providing apparatus 100 analyzes a wholesale trend in a wholesale mall searched for within a specific region of the corresponding search condition for the searched product item ( S309 ). As a result, the service providing device 100 determines the total sales volume and total sales amount for each period of sale of the product item in the wholesale mall where the product item found to be the most sold in the specific region of the search condition is traded the most, sales trend information, and sales share. It is possible to generate and output wholesale trend analysis information, such as information, sales volume heat map analysis information for each floor of the wholesale shopping mall building. Here, it is believed that the above-described wholesale trend analysis information can be fully understood by those skilled in the art through FIGS. 19 and 21 to 26 described above.

The service providing apparatus 100 transmits the search result information and the wholesale trend analysis information to the corresponding retail terminal 300 through the communication network (S311).

Accordingly, the retail terminal 300 receives the search result information and the wholesale trend analysis information from the service providing device 100 (S313).

Then, the retail terminal 300 displays the received search result information and trend analysis information on the screen (S315).

Accordingly, the user (retailer) of the corresponding retail terminal 300 can select the most popular product item in a specific region, the wholesaler that traded the most popular product item in the specific region, and the most popular product item in the specific region. You can quickly and in detail check the wholesale trends in the most traded wholesalers.

30 is a diagram for explaining an operation of providing a tag-based trend analysis service of order data in a service subscription terminal and a service providing apparatus according to another embodiment of the present invention.

First, the retail terminal 300 receives a search mode and a search condition (eg, a specific product item) (S401).

Then, the retail terminal 300 transmits the received search mode and search condition (eg, a specific product item) to the service providing apparatus 100 ( S403 ).

Next, the service providing apparatus 100 searches for an area in which a specific product item input as a search condition is best sold (ie, an area with the highest demand for the specific product item) ( S405 ).

In addition, the service providing apparatus 100 searches for a wholesale shop where most of the specific product items are traded in the searched area (S407). Accordingly, the service providing apparatus 100 may obtain, for example, information on the wholesaler, such as the name and location of the searched wholesaler, information on the wholesaler that traded the most specific product items (eg, the name of the wholesaler, the floor where it is located).

Thereafter, the service providing apparatus 100 analyzes a wholesale trend in the wholesale market of the searched region for the specific product item (S409). As a result, the service providing device 100 determines the total sales volume and total sales amount, sales trend information, and sales of the specific product item for each period of sale in the wholesale market where the specific product item is most sold in the region where the specific product item is best sold. It is possible to generate and output wholesale trend analysis information such as specific gravity information and sales volume heat map analysis information for each floor of the wholesale shopping mall building. Here, it is believed that the above-described wholesale trend analysis information can be fully understood by those skilled in the art through FIGS. 19 and 21 to 26 described above.

The service providing apparatus 100 transmits the search result information and the wholesale trend analysis information to the corresponding retail terminal 300 through the communication network (S411).

Accordingly, the retail terminal 300 receives the search result information and the wholesale trend analysis information from the service providing device 100 (S413).

Then, the retail terminal 300 displays the received search result information and wholesale trend analysis information on the screen (S415).

As a result, the user (retailer) of the corresponding retail terminal 300 can determine the region where the specific product item is best sold, the wholesaler where the specific product item is most sold in the region where the specific product item is best sold, and the specific product item. You will be able to quickly and in detail check the wholesale trends in the wholesalers that traded the most for that particular product in the best-selling region.

In addition, the method of the present invention described above can be implemented as computer-readable codes on a computer-readable recording medium. The computer-readable recording medium includes all types of recording devices in which data readable by a computer system is stored. Examples of computer-readable recording media include ROM, RAM, CD-ROM, magnetic tape, floppy disk, and optical data storage device. In addition, the computer-readable recording medium is distributed in a computer system connected through a network, so that the computer-readable code can be stored and executed in a distributed manner. In addition, functional programs, codes, and code segments for implementing the method can be easily inferred by programmers in the art to which the present invention pertains.

As described above, the best embodiment has been disclosed in the drawings and the specification. Although specific terms are used herein, they are used only for the purpose of describing the present invention, and are not used to limit the meaning or the scope of the present invention described in the claims. Therefore, it will be understood by those skilled in the art that various modifications and equivalent other embodiments are possible therefrom. Accordingly, the true technical protection scope of the present invention should be defined by the technical spirit of the appended claims.

100: service providing device 110: order data management unit
120: standardization processing unit 130: interface processing unit
140: database management unit 150: message processing unit
160: tagging processing unit 170: analysis unit
180: service providing unit 190: user information management unit
200: buy terminal 300: retail terminal
400: wholesale terminal 500: information input terminal

Claims (5)

In the operating method of a service providing device for providing an order management service between retail, wholesale, and purchase,
Storing, in a database, standardized order data used for the order management service and standardized order data used for the order management service and tag information that is obtained by conversion from the order form information received at the wholesale store in the regional wholesale mall;
Extracts product information for each tag-based classification of the order data to which the tag information is mapped, and performs leveling processing for each ranking section according to the order amount information of the standardized order data accumulated over a set period in response to the tag-based classification product information and determining the popularity of each item according to the leveling process for each ranking section and generating a wholesale trend analysis result for the product item; and
A service step of generating a list of popular products according to the determined popularity of each item, and providing the generated list to a service subscriber terminal;
How the service providing device works. The method of claim 1,
The step of generating the wholesale trend analysis result is,
retrieving the region where the searched article is best sold;
retrieving the most popular product items in the search area;
retrieving the most frequently traded wholesale prices for regional product items; and
Including; based on the search results of the one or more searching steps, performing wholesale trend analysis on popular product items in a specific region;
How the service providing device works. 3. The method of claim 2,
The step of searching for the wholesale store is,
When the region where the searched product is best sold is searched according to a request from the service subscriber terminal, searching for a wholesale market that trades the searched product the most in the searched area,
How the service providing device works. 4. The method of claim 3,
The step of performing the wholesale trend analysis is,
Analyzing the wholesale trend of the wholesaler that traded the most searched goods in the searched area,
How the service providing device works. 5. The method of claim 4,
The step of performing the domain trend analysis is,
Transmitting the analysis result of the wholesale trend to the service subscriber terminal,
The result of analyzing the wholesale trend includes at least one of the total sales volume and total sales amount by sales period of the wholesale mall, sales trend information, sales proportion information, and sales volume heat map analysis information for each floor of the wholesale mall building,
How the service providing device works.

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