KR20210112221A - Apparatus for providing shortest online purchase route in less than 5 clicks - Google Patents

Abstract

The present invention relates to a method for purchasing a product in an online shopping mall and an apparatus therefor, and is to provide an apparatus for providing a shortest distance online purchase route in five clicks or less. A system for providing a shortest online purchase route includes: a terminal in which at least one of a mobile application and a website for an online shopping mall is executed and operated by a consumer; and a management server which performs a payment procedure for a first product based on a response message.

Description

A device that provides the shortest distance online purchase flow of less than 5 clicks {APPARATUS FOR PROVIDING SHORTEST ONLINE PURCHASE ROUTE IN LESS THAN 5 CLICKS}

The present invention relates to a method and an apparatus for purchasing a product in an online shopping mall, and more particularly, by inferring information on the product that the consumer wants to purchase, the consumer can purchase the desired product only with a certain number of clicks or less. It relates to a method and an apparatus therefor.

As of 2012, out of 38.12 million Internet users, 63.5% of users use the Internet to purchase and sell products online.

Due to such high Internet usage rate, the total size of the domestic online shopping market has grown to about 22 trillion won, and is growing by more than 16.3% every year.

In particular, the expansion of the open market and the entry of large companies into the online market have led to the growth of the online shopping market including clothing shopping malls, and the appearance of the entire online fashion market is continuously expanding with the advent of mobile shopping malls.

In addition, consumption of clothing and fashion in offline stores such as department stores and stores has shifted online mainly among young people in their 20s and 30s. They are buying clothes from online shopping malls.

Korean Patent Publication No. 10-2016-0120238 (Title: Product Purchase System, 2016.10.17)

An object of the present invention is to provide a method for purchasing a product in an online shopping mall and an apparatus therefor, which provides a shortest distance online purchase flow of 5 clicks or less.

The technical problems to be achieved in the present invention are not limited to the technical problems mentioned above, and other technical problems not mentioned will be clearly understood by those of ordinary skill in the art to which the present invention belongs from the following description. will be able

In a method for a shopping mall server to perform payment for a first product according to an embodiment of the present invention, a purchase history of at least one second product of a consumer of a terminal is analyzed, and based on the analysis result, the consumer Estimates the first product to be purchased, transmits a message requesting a decision whether to purchase the first product to the terminal, and receives a response message for whether to purchase the first product from the terminal, the Based on the response message, a payment procedure for the first product may be performed.

In this case, the analysis of the purchase history for the at least one second product includes the first purchase time, the number of repurchase times, the repurchase time, the last purchase time, and the delivery completion time for the last purchase of the at least one second product. may be analyzed.

In addition, the estimating of the first product may include estimating a product included in the at least one second product among products included in the consumer's shopping cart as the first product.

In addition, the estimating of the first product may include calculating a purchase scheduled time of the at least one second product based on the purchase history, and selecting a second product having the expected purchase time within a first period from the current time. , may include estimating the first product.

In addition, in estimating the first product, receiving information on a specific category from the terminal, and estimating a second product included in the specific category among the at least one second product as the first product may include

In addition, the estimating of the first product may include calculating a purchase scheduled time of the at least one second product based on the purchase history, and the scheduled purchase time of the at least one second product is determined from the current time point. Extracting one or more third products within a second period, transmitting information about the one or more third products to the terminal, and selecting a third product selected by the terminal from among the one or more third products, the It may include estimating the first product.

In addition, the terminal divides the display screen of the terminal into a left space and a right space, and outputs images of the one or more third products to the left space, and a specific third product among the one or more third products. An image can be moved from the left space to the right space by using Drag & Drop or Touching, and information on the specific third product moved to the right space can be transmitted to the shopping mall server. have.

In addition, estimating the first product may include receiving a specific keyword from the terminal, and estimating a second product related to the specific keyword among the at least one second product as the first product. .

In addition, the estimating of the first product determines, based on the purchase history, a fourth product purchased by other consumers at a certain rate or more after a third period from the delivery completion time of the at least one second product, and , and estimating the fourth product as the first product.

In addition, based on the profile of the consumer and the profiles of other consumers, the consumer and the other consumers are matched to a plurality of peer groups, and one or more of the other consumers included in the at least one peer groups including the consumer are matched. Analyze the purchase history for the second product and estimate the first product, based on the purchase history for the at least one second product and the purchase history for the one or more second products, the first product can be estimated.

According to the present invention, the consumer can complete the purchase and payment for the desired product with only a certain number of clicks or less, thereby reducing the fatigue of the consumer due to shopping.

The effects obtainable in the present invention are not limited to the above-mentioned effects, and other effects not mentioned may be clearly understood by those of ordinary skill in the art to which the present invention belongs from the following description. will be.

1 is a view for explaining a system for providing a product purchase service according to an embodiment of the present invention.
2 to 4 are diagrams for explaining a product purchase method according to an embodiment of the present invention.
5 to 6 are diagrams for explaining the configuration of an apparatus for implementing an embodiment of the present invention.

In order to clarify the characteristics and advantages of the problem solving means of the present invention, the present invention will be described in more detail with reference to specific embodiments of the present invention shown in the accompanying drawings.

However, detailed descriptions of well-known functions or configurations that may obscure the gist of the present invention in the following description and accompanying drawings will be omitted. Also, it should be noted that throughout the drawings, the same components are denoted by the same reference numerals as much as possible.

The terms or words used in the following description and drawings should not be construed as being limited to conventional or dictionary meanings, and the inventor may appropriately define the concept of terms for describing his invention in the best way. It should be interpreted as meaning and concept consistent with the technical idea of the present invention based on the principle that there is. Therefore, the embodiments described in this specification and the configurations shown in the drawings are only the most preferred embodiment of the present invention, and do not represent all of the technical spirit of the present invention. It should be understood that there may be equivalents and variations.

In addition, terms including ordinal numbers such as first, second, etc. are used to describe various components, and are used only for the purpose of distinguishing one component from other components, and to limit the components. not used For example, without departing from the scope of the present invention, the second component may be referred to as the first component, and similarly, the first component may also be referred to as the second component.

In addition, the terms used herein are used only 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 addition, terms such as "comprises" or "have" described herein are intended to designate that the features, numbers, steps, operations, components, parts, or combinations thereof described in the specification exist, but one or the It should be understood that the above does not preclude the possibility of the existence or addition of other features or numbers, steps, operations, components, parts, or combinations thereof.

In addition, terms such as "unit", "group", and "module" described in the specification mean a unit that processes at least one function or operation, which may be implemented as hardware or software or a combination of hardware and software. Also, "a or an", "one", "the" and like related terms are used differently herein in the context of describing the invention (especially in the context of the claims that follow). Unless indicated or clearly contradicted by context, it may be used in a sense including both the singular and the plural.

In addition to the above-mentioned terms, specific terms used in the following description are provided to help the understanding of the present invention, and the use of these specific terms may be changed to other forms without departing from the technical spirit of the present invention.

In addition, embodiments within the scope of the present invention include computer-readable media having or carrying computer-executable instructions or data structures stored in the computer-readable media. Such computer readable media can be any available media that can be accessed by a general purpose or special purpose computer system. By way of example, such computer-readable media may be in the form of RAM, ROM, EPROM, CD-ROM or other optical disk storage, magnetic disk storage or other magnetic storage, or computer-executable instructions, computer-readable instructions, or data structures. It may include, but is not limited to, a physical storage medium such as any other medium that can be used to store or convey any program code means in .

Furthermore, the present invention relates to personal computers, laptop computers, handheld devices, multiprocessor systems, microprocessor-based or programmable consumer electronics, network PCs, minicomputers, mainframe computers, mobile telephones, PDAs, pagers. It may be implemented in a network computing environment having various types of computer system configurations, including (pager) and the like. The invention may also be practiced in distributed system environments where both local and remote computer systems linked through a network by a wired data link, a wireless data link, or a combination of wired and wireless data links perform tasks. In a distributed system environment, program modules may be located in local and remote memory storage devices.

In addition, it will be understood that each block of the flowchart diagrams and combinations of the flowchart diagrams may be performed by computer program instructions. These computer program instructions may be embodied in a processor of a general purpose computer, special purpose computer, or other programmable data processing equipment, such that the instructions performed by the processor of the computer or other programmable data processing equipment are not described in the flowchart block(s). It creates a means to perform functions. These computer program instructions may also be stored in a computer-usable or computer-readable memory that may direct a computer or other programmable data processing equipment to implement a function in a particular manner, and thus the computer-usable or computer-readable memory. It is also possible that the instructions stored in the flow chart block(s) produce an article of manufacture containing instruction means for performing the function described in the flowchart block(s). The computer program instructions may also be mounted on a computer or other programmable data processing equipment, such that a series of operational steps are performed on the computer or other programmable data processing equipment to create a computer-executed process to create a computer or other programmable data processing equipment. It is also possible that instructions for performing the processing equipment provide steps for performing the functions described in the flowchart block(s).

Additionally, each block may represent a module, segment, or portion of code that includes one or more executable instructions for executing specified logical function(s). It should also be noted that in some alternative implementations it is also possible for the functions recited in blocks to occur out of order. For example, two blocks shown one after another may in fact be performed substantially simultaneously, or it is possible that the blocks are sometimes performed in the reverse order according to the corresponding function.

In describing the embodiments of the present disclosure in detail, an example of a specific system will be mainly targeted, but the main subject matter to be claimed in this specification is to extend the scope disclosed herein to other communication systems and services having a similar technical background. It can be applied within a range that does not deviate significantly, and this will be possible at the discretion of a person with technical knowledge skilled in the art.

Now, let's take a look at a method of providing a product purchase service according to an embodiment of the present invention in earnest.

On the other hand, in the embodiments to be described later, the online shopping mall is a concept that includes both a mobile shopping mall accessed using a mobile device and a shopping mall accessed using a fixed device such as a fixed personal computer (PC), and uses wired and wireless communication. Thus, any shopping mall may be included as long as it is a shopping mall capable of electronically purchasing products.

Referring to FIG. 1 , a system for providing a product purchase service according to an embodiment of the present invention may include a communication network 100 , a terminal 200 , and a shopping mall server 300 .

Here, the terminal 200 may be linked with the shopping mall server 300 through the communication network 100 . In this case, the communication network 100 may be a wireless communication network. For example, the corresponding wireless communication network may be a wireless communication network using Long Term Evolution (LTE), 5-Generation (5G) and WiFi.

The terminal 200 of the present invention refers to a user's device capable of transmitting and receiving various data via the communication network 100 according to the user's manipulation. The terminal 200 may perform voice or data communication through the communication network 100 , and may transmit/receive information through the shopping mall server 300 and the communication network 100 . For this purpose, the terminal 200 of the present invention may include a memory for storing programs and protocols for transmitting and receiving data to and from the shopping mall server 300 , and a microprocessor for executing and controlling various programs.

The terminal 200 preferentially accesses an application (hereinafter, 'app') providing device (not shown) connected to the communication network 100 , such as an app store, and receives an app for a product purchase service from the corresponding app store. can be installed.

In addition, the terminal 200 may be implemented in various forms. For example, the terminal 200 described herein is a mobile terminal such as a smart phone, a tablet PC, a personal digital assistant (PDA), a portable multimedia player (PMP), an MP3 player, etc. , a fixed terminal such as a smart TV, a desktop computer, and the like may be used.

In addition, the terminal 200 of the present invention cannot enumerate all of the variations of the mobile device according to the convergence trend of digital devices, but a unit equivalent to the above-mentioned units is a unit according to the present invention. Any device that can be used as the terminal 200 and can download and install an app related to the product purchase service according to the present invention can be used as the terminal 200 according to the embodiment of the present invention.

The shopping mall server 300 is a server device for transmitting and receiving various data and information to and from the terminal 200 for providing a product purchase service according to an embodiment of the present invention. In an embodiment of the present invention, the shopping mall server 300 analyzes the purchase history of the consumer, and based on the analysis result, estimates the product that the consumer of the terminal 200 connected to the shopping mall server 300 wants to purchase, A request message for requesting whether or not to determine may be transmitted to the terminal 200 . When the shopping mall server 300 receives a response message corresponding to the request message from the terminal 200 , the shopping mall server 300 may proceed with payment for the estimated product according to the response message.

2 to 4 are diagrams for explaining a method of providing a product purchase service according to an embodiment of the present invention.

Referring to FIG. 2 , the shopping mall server 300 may analyze the purchase history of at least one purchased product that the consumer of the terminal 200 has purchased in the past ( S205 ). In this case, the purchase details of the consumer of the terminal 200 may be stored in the shopping mall server 300 (eg, a storage module of the shopping mall server 300 ). In addition, the purchase history includes the first purchase time when the consumer of the terminal 200 first purchased the purchased product in the past, the time of repurchasing the purchased product and the number of times of repurchasing, the last purchase time, and the delivery completion time for the last purchase. can For example, the shopping mall server 300 may infer the expected purchase time when the consumer is expected to purchase at least one purchased product again based on the first purchase time, the repurchase time, the number of repurchase, the last purchase time, and the delivery completion time. can

The shopping mall server 300 may estimate an expected purchase product that the current consumer is expected to purchase, based on the purchase history of the consumer and the scheduled purchase time. At this time, there may be one or more expected purchase products (S210).

At this time, as a method of estimating the expected purchase product, there may be mainly four embodiments as follows.

1. Example 1-1

As shown in FIG. 3A , the shopping mall server 300 may generate a list of expected purchase products, and may transmit a request message for requesting a decision on whether to purchase directly to the terminal 200 ( S215 ). At this time, the shopping mall server 300 estimates a product included in the purchased products included in the consumer's purchase history as an expected purchase product among the products previously stored in the shopping cart by the terminal 200 through the corresponding shopping mall app. , it is possible to create a list of expected purchase products with the corresponding products.

As another example, the shopping mall server 300 predicts purchase of products whose estimated purchase time is within a specific period (eg, one week or one month) from the current point of time among the purchased products included in the consumer's purchase history. It is possible to estimate the product, and generate a list of expected purchase products for these expected purchase products.

As another example, the shopping mall server 300 may acquire the last purchased product from the consumer's purchase history and the delivery completion time of the corresponding product. In addition, the shopping mall server 300 connects with the corresponding product after a certain period of time (eg, one week or one month) from the point in time when other consumers who have purchased the product at a certain rate or higher receive the delivery of the product. You can acquire the purchase history of other related products.

If the time when the terminal 200 accesses the corresponding shopping mall app is after the predetermined period from the delivery completion time of the corresponding product, the other product may be estimated as an expected purchase product, and a list of expected purchase products may be generated. .

2. Example 1-2

As shown in Fig. 3(b), when the consumer accesses the corresponding shopping mall app using the terminal 200, and the consumer selects a category for purchasing a product in the corresponding online shopping mall using the terminal 200, the terminal 200 may transmit category information for the corresponding category to the shopping mall server 300 .

The shopping mall server 300 may estimate purchase products included in a corresponding category among purchase products included in the purchase history of the consumer as expected purchase products, and generate a list of expected purchase products. At this time, among the purchased products included in the corresponding category based on the expected purchase time, products whose expected purchase time is within a specific period (for example, 1 week or 1 month) from the present time are estimated as expected purchase products, You can create a list of expected purchase products.

3. Examples 1-3

As illustrated in FIG. 3C , the consumer may select a specific banner from among at least one banner displayed on the terminal 200 by using the terminal 200 . The shopping mall server 300 may determine whether an advertisement product advertised in a specific banner and a related product associated with the advertisement product are included in the purchase history of the consumer based on the purchase history of the consumer.

When the advertisement product and/or related product associated with the advertisement product are included in the purchase history of the consumer, the shopping mall server 300 estimates that the advertisement product and/or the related product are expected purchase products, and sends a purchase decision request message. It can be transmitted to the terminal 200 .

In addition, the shopping mall server 300 determines when, among other consumers who purchased the purchased product, a certain ratio or more of the other consumers who have purchased the product received the delivery of the product, based on the final delivery completion time of the purchased products included in the consumer's purchase history. It is possible to obtain the purchase history of other products related to the corresponding product after a certain period of time (for example, one week or one month). In addition, in the shopping mall server 300, other linked products are included in the aforementioned advertisement products and/or related products, and the time when the terminal 200 accesses the corresponding shopping mall app is the schedule from the delivery completion time of the purchased product. After the period, the other product may be estimated as an expected purchase product, and a list of expected purchase products may be generated.

4. Examples 1-4

As shown in FIG. 3(d) , the consumer may execute the corresponding shopping mall app using the terminal 200 and input a search keyword into the search field of the corresponding shopping mall app. The shopping mall server 300 may extract a plurality of products related to the corresponding search keyword. The shopping mall server 300 may estimate that a product included in the purchased products according to the purchase history of the consumer among the extracted plurality of products is an expected purchase product, and may generate a list of expected purchase products.

In addition, the shopping mall server 300 determines when, among other consumers who purchased the purchased product, a certain ratio or more of the other consumers who have purchased the product received the delivery of the product, based on the final delivery completion time of the purchased products included in the consumer's purchase history. It is possible to obtain the purchase history of other products related to the corresponding product after a certain period of time (for example, one week or one month). If the other product is included in the plurality of extracted products, the shopping mall server 300 may estimate the other product as an expected purchase product and generate a list of expected purchase products.

5. Examples 1-5

In Example 1-5, if the expected purchase product expected to be purchased by the consumer is estimated based on the purchase history of the consumer in Examples 1-1 to 1-4, in Example 5, another customer having similar profiles to the corresponding consumer is estimated. Based on the profile of consumers, it is possible to analyze the purchase history for each group and estimate the expected purchase product.

For example, the shopping mall server 300 may match the consumer and other consumers into a plurality of peer groups based on the consumer's profile and other consumers' profiles. Also, the shopping mall server 300 may analyze purchase details of products purchased by a consumer and other consumers included in at least one peer group including the consumer among a plurality of peer groups.

Further, the shopping mall server 300 estimates the expected purchase product that the consumer wants to purchase according to Examples 1-1 to 1-4 based on the analysis of the corresponding purchase history, and generates a list of expected purchase products, A purchase decision request message may be transmitted to the terminal 200 .

Meanwhile, in the specific method of matching consumers to a plurality of peer groups in Embodiment 1-5, the same method as the method of matching consumers to a plurality of peer groups, which will be described later, may be applied.

When the shopping mall server 300 estimates the expected purchase product for the terminal 200 according to Examples 1-1 to 1-5, the shopping mall server 300 asks the terminal 200 whether to purchase the expected purchase product. A request message for requesting a decision may be transmitted (S215). The request message may include a list of expected purchase products generated by the shopping mall server 300 . Also, each of the expected purchase products included in the expected purchase product list may be provided with identification information for identifying the expected purchase products, and each identification information may be included in the request message. In addition, each of the identification information may be configured with more than 3 bits (preferably composed of 5 to 8 bits), and the last 3 bits of the bits for identification information may be configured with '000' or '111'. Specifically, '000' and '111' may be alternately used as the last 3 bits for each identification information. This is to efficiently transmit a response message, as will be described later, and has a minimal signaling overhead while reducing the possibility of a bit error due to an offset due to noise in the process of transmitting a request message and receiving a response message. This is to send a response message. For example, when three expected purchase products are included in the expected purchase product list, and identification information for each of the expected purchase products consists of 6 bits, each of the identification information of the expected purchase products included in the request message is 'xxx000' ', 'yyy111' and 'zzz000'.

When the terminal 200 receives the request message, the expected purchase products may be displayed as shown in FIG. 4 . Referring to FIG. 4 , the screen of the terminal 200 may be divided left and right in a dual display method.

Expected purchase products may be displayed on the left screen of the terminal 200 . In this case, when the user touches any one of the expected purchase products displayed on the left screen, the touched expected purchase product may be moved to the right screen. As another example, the user may move any one of the expected purchase products displayed on the left screen to the right screen by dragging and dropping.

Based on the expected purchase products moved to the right screen of the terminal 200 , the terminal 200 may generate a response message corresponding to the above-described request message. In other words, the terminal 200 may recognize that the expected purchase products moved to the right screen of the terminal 200 are products that the consumer actually wants to purchase, and may generate a response message for this.

In this case, the response message may be transmitted by indicating whether each of the expected purchase products included in the expected purchase product list is purchased. Also, for this, only 3 bits corresponding to the last 3 bits of each of the identification information included in the request message may be continuously included in the response message.

For example, if the identification information included in the request message is 'xxx000', 'yyy111' and 'zzz000', the terminal 200 may generate a response message based on '000', '111', and '000'. have. At this time, the terminal 200 may generate a response message by inverting 3 bits corresponding to the expected purchase product that the consumer actually purchases. For example, referring to FIG. 4 , when the consumer decides to purchase the second expected purchase product, the terminal 200 may transmit the response message by including the bit of '000 000 000' (S220). If the consumer decides to purchase the first expected purchase product, the terminal 200 may transmit the response message including '111 111 000'.

Upon receiving the response message, the shopping mall server 300 may determine which expected purchase product the consumer actually wants to purchase by looking at bits included in the response message. For example, the shopping mall server 300 may determine whether the consumer actually purchases each expected purchase product by breaking it into 3-bit units, and the bit value transmitted by the shopping mall server 300 as the last 3 bits for the expected purchase product and If the inverted value is located in the place of the expected purchase product, it may be determined that the consumer purchases the expected purchase product. Conversely, if the same value as the bit value transmitted as the last 3 bits for the expected purchase product is located in the place of the expected purchase product, it may be determined that the consumer has no intention to purchase the corresponding expected purchase product.

For example, in the above example, if the shopping mall server 300 receives a response message including a bit of '000 000 000', the shopping mall server 300 sets the last bit of the second expected purchase product to '111'. transmitted, and the corresponding position is received as '000' in the response message, it can be determined that the consumer intends to purchase the second expected product.

Meanwhile, in the description of the above-described embodiment, it has been described that the expected purchase products are displayed on the left screen and the products are moved to the right screen through drag and drop, but the present invention is not limited thereto.

In other words, the expected purchase products are displayed on the right screen, and the products can be moved through drag and drop to the left screen, and the dual display is divided up and down to display the expected purchase products on the upper screen, and drag to the lower screen You can move products through n-drop, display expected purchase products on the lower screen, and move products through drag-and-drop on the upper screen.

If the shopping mall server 300 determines the expected purchase product that the consumer actually wants to purchase through the response message, the shopping mall server 300 may request payment for the expected purchase product from the card company server and/or the bank server to proceed with the payment procedure (S225) .

On the other hand, as mentioned in Examples 1-5, in another embodiment of the present invention, a recommended product is presented to the consumer in consideration of not only the consumer's profile, but also the profiles of other consumers who show similar purchasing propensity to the consumer, When a recommended product is recommended again based on whether the consumer has purchased the corresponding recommended product, the recommended product may be recommended in consideration of this, thereby increasing the accuracy of the recommended product for the consumer.

To this end, the shopping mall server 300 may analyze the profiles of a plurality of consumers registered in the shopping mall server 300 . In this case, the profile may include the age, gender, skin type, interest area, living environment and taste of each of the consumers. In addition, the living environment of each consumer identifies the movement of each consumer, extracts the main movement of each consumer based on this, and the region including the main movement and the characteristics of the area (eg, high-rise building) density, presence of large roads, ecological environment such as parks and rivers, average floating population, etc.). In addition, the fields of interest and tastes of each consumer can be identified based on a search keyword searched by each consumer through a portal site or social network service (SNS), a search page searched by each consumer, and the like.

The shopping mall server 300 may create a plurality of peer groups for each category included in the profile, such as age, gender, skin type, field of interest, living environment, and taste. In addition, each of the plurality of consumers may be mapped to a plurality of peer groups based on the profiles of the plurality of consumers. For example, if a specific consumer is 25 years old, male, oily skin, and has a main flow in a high-rise building area, the specific consumer may be included in one peer group grouped by 20s/male/oily skin/building area. and may be included in a total of three peer groups, such as a male peer group in their twenties, a peer group with oily skin, and a peer group in a densely populated building.

In order to recommend a product to a specific consumer, the shopping mall server 300 may analyze shopping histories of consumers corresponding to each of the peer groups including the specific consumer. For example, if there is one peer group including a specific consumer, shopping histories of consumers included in one peer group may be analyzed. If there are three peer groups including a specific consumer, three peer groups It is possible to analyze the shopping history of consumers included in each. In addition, target consumers whose shopping history is analyzed may be all consumers in a peer group including a specific consumer.

Also, the shopping history may include each of consumers' shopping patterns, search keywords, satisfied products, dissatisfied products, purchase rates, and repurchase rates. Here, the shopping pattern may include an order in which each consumer purchases a product in a shopping mall, a day and time at which the product is mainly purchased, an order in which the product is searched, and the like. In addition, the purchase rate represents the ratio of products that the consumer actually purchased among the products each of the consumers put in their shopping cart or products for which detailed information was clicked. In addition, the repurchase rate represents the ratio of products purchased twice or more among products that each consumer actually purchased.

The shopping mall server 300 may extract candidate recommended products for a specific consumer from each peer group for the terminal 200 of the specific consumer, based on the shopping history for each of the peer groups. For example, if there are three peer groups including a specific consumer, one candidate recommended product (a total of three candidate recommended products) can be extracted for the terminal 200 of a specific consumer, one for each of the three peer groups. have.

The shopping mall server 300 may select and recommend a specific product to be finally recommended to the terminal 200 based on the profile of a specific consumer from among the candidate recommendation products. For example, it is possible to select a specific product most suitable for elements of the entire profile of the specific consumer from among the candidate recommended products. Specifically, a score is given to each of the three recommended candidate products for each of the age, gender, skin type, interest area, living environment, and taste of the specific consumer, and the recommended candidate product with the highest sum of the scores is selected as the specific It can be selected as a product and recommended to the terminal 200 .

Meanwhile, the peer groups including the specific consumer may include other consumers in a specific relationship with the specific consumer (eg, family members, friends, lovers, and other acquaintances, etc.). In this case, when selecting a recommended product, different weights may be given to products purchased by other consumers, and the recommended products may be selected. In other words, the shopping mall server 300 extracts and receives a friend list including contacts, messenger friend list, SNS friend list, etc. included in the terminal 200 from the terminal 200, and receives each of the friend list and the peer group. It is possible to recommend a specific product from among the candidate recommended products based on the shopping histories of other consumers included in the .

For example, when a product that a specific consumer wants to purchase is cosmetics, the shopping mall server 300 may give a higher weight to cosmetics purchased by another consumer included in the friend list of the specific consumer among candidate recommended products. . This means that a specific consumer can make an accurate judgment about the product by seeing that other consumers have used the cosmetic product or hearing the user reviews directly, and if other consumers are satisfied with the cosmetic product, the specific consumer will also be satisfied with it. This is because it can have expectations that it will be, and it can lead to actual purchases.

Accordingly, cosmetics purchased by other consumers may be given a higher weight than other cosmetics, thereby increasing the likelihood that the cosmetics will be selected as final recommended products. In addition, this weight may be set higher as the number of times that other consumers included in the friend list of a specific consumer purchase the corresponding cosmetics.

Also, in this case, in order to provide information on how suitable cosmetics purchased by other consumers included in the friend list are for a specific consumer, as can be seen in FIG. 3 , the shopping mall server 300 operates the terminal 200 ) to divide the display screen into at least four spaces, to output the image of the corresponding cosmetic in the first space, the profile of a specific consumer in the second space, and the profile of another consumer included in the friend list in the third space. can be controlled In addition, by controlling to output information on the difference between the profile of the specific consumer and the profiles of other consumers included in the friend list in the fourth space, the suitability of the corresponding cosmetic product can be more accurately delivered to the specific consumer.

For example, in the shopping mall server 300, when the terminal 200 is a specific consumer and all other consumers included in the friend list are oily, the specific consumer has an oily type that is a water-deficient type, and other consumers have an oily type that has an excessive oily type. It is possible to control to output , or to output the difference between the androgen level of a specific consumer and another consumer.

In this case, the terminal 200 may set whether each piece of information is to be placed in one of the four spaces, but the shopping mall server 300 may set and transmit it.

For example, the shopping mall server 300 analyzes the horizontal angle, the vertical angle, and the amount of light incident on the terminal 200 by using the gyro sensor and the illuminance sensor installed in the terminal 200 , , by estimating the gaze position of the user of the terminal 200, based on the estimated gaze position, the space that the consumer can see best is the first space, and then the space that is estimated to be seen well is the fourth space. As the space, the remaining two spaces may be set as the second space and the third space. Accordingly, when the horizontal and vertical inclination and illuminance of the terminal 200 are changed, the gyro sensor and the illuminance sensor detect the changed inclination and illuminance and transmit it to the shopping mall server 300. Based on this, the shopping mall server 300 performs the first The arrangement of the space to the fourth space may be changed.

As another example, when the product that a specific consumer wants to purchase is clothing, the shopping mall server 300 may exclude clothes purchased by another consumer included in the friend list of the specific consumer from among the candidate recommended products from the candidate recommended products. . This is because there is a high probability that a specific consumer does not want to wear clothes already purchased and worn by other consumers included in the friends list, and thus may not want to purchase the corresponding product.

Accordingly, the shopping mall server 300 may give clothes purchased by other consumers included in the friend list a lower weight than other clothes, or may exclude them from candidate recommendation products.

On the other hand, even if clothes purchased by other consumers included in the friend list are excluded from the candidate recommendation products, if the design or the type of clothes is a product that can be recommended to a specific consumer, clothes that are not identical but have a similar design are specific. It may also be recommended to consumers.

To this end, the shopping mall server 300 divides the display screen of the terminal 200 into a plurality of spaces, outputs clothes purchased by other consumers included in the friend list in one space, and recommends candidates to the remaining spaces. It is possible to control to output a candidate recommendation product having a design most similar to the clothes purchased by the other consumer from among the products, so that a specific consumer can refer to it. Alternatively, as shown in FIG. 4 , it is possible to control to output clothes purchased by other consumers included in the friend list in one space and clothes similar to the clothes in the other space. In this case, the clothes output to the remaining space may be controlled to be output in different sizes according to the degree of similarity to clothes purchased by other consumers. For example, as the similarity between the design and the clothes purchased by other consumers increases, it is possible to control the output in a larger size.

Meanwhile, as described above, the shopping mall server 300 uses the gyro sensor and the brightness sensor installed in the terminal 200 , the current horizontal angle, the vertical angle, and the amount of light incident on the terminal 200 . , and estimating the gaze position of the user of the terminal 200, based on the estimated gaze position, is arranged in a space where the consumer can see the most similarly designed clothing in the rest of the space, It can be set to be placed in a space that is estimated to be visible next in the order of similarity.

On the other hand, after recommending a product to a specific consumer as described above, the shopping mall server 300 analyzes cart conversions for a plurality of consumers registered in the shopping mall server 300 for more accurate product recommendation, and performs the analysis. The plurality of consumers may be matched back to each of the plurality of peer groups based on the cart conversion and the profiles of the plurality of consumers.

That is, based on the analyzed cart conversion, the present embodiment may be performed again from the beginning. Here, the cart conversion may be a number indicating how many times the consumer purchases the product finally recommended by the shopping mall server 300 . For example, the cart conversion may refer to a purchase rate and/or repurchase rate at which a specific consumer purchases and/or repurchases a product recommended by the shopping mall server 300 .

In other words, the shopping mall server 300 analyzes the purchase rate and repurchase rate determined that the product recommended by the shopping mall server 300 is paid for by the plurality of terminals 200 and that the plurality of consumers actually purchased the product, and A plurality of consumers may be remapped to each of the plurality of peer groups based on the purchase rate and the repurchase rate.

For example, when a specific consumer is included in the three peer groups, the shopping mall server 300 sets the average value of the first purchase rate and the first purchase rate at which a plurality of consumers purchase products recommended in each of the three peer groups. Analyze the average value of the purchase rate. Also, the shopping mall server 300 may analyze a second purchase rate and a second repurchase rate at which the specific consumer purchases products recommended in relation to each peer group for the specific consumer.

In addition, if the second purchase rate is lower than the average value of the first purchase rate by a certain level or more, and the second repurchase rate is lower than the average value of the first repurchase rate by a predetermined value or more, the shopping mall server 300 selects a specific consumer in the corresponding peer group can be excluded. Thereafter, the shopping mall server 300 may map the specific consumer to other peer groups other than the excluded peer group and the peer group in which the specific consumer is already included, based on the specific consumer's profile.

As another example, when there is only one peer group including a specific consumer, the shopping mall server 300 sets the average value of the first purchase rate and the first purchase rate at which a plurality of consumers included in the corresponding peer group purchase products recommended through the corresponding peer group. 1 The average value of the repurchase rate can be analyzed.

Also, the shopping mall server 300 may analyze a second purchase rate and a second repurchase rate at which the specific consumer purchases the products recommended through the peer group for a certain period of time.

In addition, if the second purchase rate is lower than the average value of the first purchase rate by a certain level or more, and the second repurchase rate is lower than the average value of the first repurchase rate by a predetermined value or more, the shopping mall server 300 selects a specific consumer in the corresponding peer group can be excluded. Thereafter, the shopping mall server 300 may match the specific consumer to a peer group other than the excluded peer group based on the profile of the specific consumer.

5 to 6 are block diagrams illustrating the configuration of an apparatus for implementing the above-described embodiment of the present invention.

5 is a block diagram for explaining the configuration of the terminal 200 for implementing the above-described embodiment of the present invention.

Referring to FIG. 5 , the terminal 200 may include a control module 210 , a communication module 220 , a storage module 230 , an output module 240 , an input module 250 , and the like.

The input module 250 receives various information such as number and character information, and transmits input signals related to setting various functions and controlling the functions of the terminal 200 to the control module 250 . In addition, the input module 250 may be configured to include at least one of a keypad and a touchpad that generate an input signal according to a user's touch or manipulation. In this case, the input module 250 may be configured in the form of a single touch panel (or touch screen) together with the output module 240 to simultaneously perform input and display functions. In addition, as the input module 250 , all types of input means that may be developed in the future may be used in addition to input devices such as a keyboard, a keypad, a mouse, and a joystick. In particular, the input module 250 according to the present invention detects input information input from the user and transmits it to the control module 210 .

The output module 240 displays information about a series of operation states and operation results that occur while the function of the terminal 200 is performed. Also, the output module 240 may display a menu of the terminal 200 and user data input by the user. Here, the output module 240 is a liquid crystal display (LCD), an ultra-thin liquid crystal display (TFT-LCD, Thin Film Transistor LCD), a light emitting diode (LED, Light Emitting Diode), an organic light emitting diode (OLED, Organic LED), an active organic light emitting diode (AMOLED, Active Matrix OLED), a retina display (Retina Display), a flexible display (Flexible display), a three-dimensional (3 Dimension) display, etc. may be configured. In this case, when the output module 330 is configured in the form of a touch screen, the output module 240 may perform some or all of the functions of the input module 250 .

The storage module 230 is a device for storing data, and includes a main storage device and an auxiliary storage device, and stores an application program required for a functional operation of the terminal 200 . The storage module 230 may largely include a program area and a data area. Here, when each function is activated in response to a user's request, the terminal 200 executes corresponding application programs under the control of the control module 210 to provide each function.

The communication module 220 may transmit/receive data to and from the shopping mall server 300 through the communication network 100 . In addition, the communication module 220 includes an RF transmitting means for up-converting and amplifying the frequency of the transmitted signal, an RF receiving means for low-noise amplifying a received signal and down-converting the frequency, and for processing a communication protocol according to a specific communication method. data processing means and the like. The communication module 220 may include at least one of a wireless communication module (not shown) and a wired communication module (not shown). In addition, the wireless communication module is a configuration for transmitting and receiving data according to a wireless communication method, and when the terminal 200 uses wireless communication, using any one of a wireless network communication module, a wireless LAN communication module, and a wireless fan communication module Data may be transmitted and received with the shopping mall server 300 . Here, the communication module 220 may include a plurality of communication modules. When a plurality of communication modules are included in the communication module 220 , one communication module may perform personal area network (PAN) communication including Bluetooth.

In addition, the other communication module communicates with the shopping mall server 300 through the communication network 100 . Here, the other communication module may use a wireless communication method such as Wireless LAN (WLAN), Wi-Fi, Wibro, WiMAX, and High Speed Downlink Packet Access (HSDPA).

The control module 210 may be an operating system (OS) and a process device for driving each component.

Accordingly, the control module 210 of the terminal 200 controls to transmit the signal received through the input module 250 to the shopping mall server 300 through the communication module 220 , and receives the signal through the communication module 220 . A beacon, Wi-Fi, base station signal, or information transmitted from the shopping mall server 300 may be controlled to be exposed through the output module 240 .

Also, the control module 210 of the terminal 200 may control the overall operation process of the terminal 200 according to an embodiment of the present invention. In other words, the overall operation process of the terminal 200 according to the embodiments of the present invention described above based on FIGS. 1 to 4 may be controlled by the control module 210 .

6 is a block diagram illustrating a configuration of a shopping mall server 300 for implementing embodiments of the present invention.

Referring to FIG. 6 , the shopping mall server 300 may include a control module 310 , a communication module 320 , and a storage module 330 .

The communication module 320 is for communicating with the terminal 200, and a communication network for the communication module 320 to perform a function is WLAN (Wireless LAN), Wi-Fi, Wibro, and Wimax. ), it is preferable to use a wireless communication method such as High Speed Downlink Packet Access (HSDPA), but is not limited thereto, and depending on the system implementation method, Ethernet, xDSL (ADSL, VDSL), HFC (Hybrid Fiber Coaxial Cable) ), FTTC (Fiber to The Curb), FTTH (Fiber To The Home), etc. may be used in a wired communication method.

The storage module 330 is a device for storing data, includes a main storage device and an auxiliary storage device, and stores application programs required for functional operation of the shopping mall server 300 . The storage module 330 may largely include a program area and a data area. Here, when activating each function in response to the request of the terminal 200 , the shopping mall server 300 provides each function by executing corresponding application programs under the control of the control module 310 .

The control module 310 may be an operating system (OS) and a process device for driving each component.

Accordingly, the control module 310 of the shopping mall server 300 may control the overall operation process of the shopping mall server 300 according to an embodiment of the present invention. In other words, the overall operation process of the shopping mall server 300 according to the embodiments of the present invention described above based on FIGS. 1 to 4 may be controlled by the control module 310 .

As described above, while this specification contains numerous specific implementation details, these are not to be construed as limiting as to the scope of any invention or claim, but rather may be specific to particular embodiments of a particular invention. It should be understood as a description of features. Certain features that are described herein in the context of separate embodiments may be implemented in combination in a single embodiment. Conversely, various features that are described in the context of a single embodiment may also be implemented in multiple embodiments, either individually or in any suitable sub-combination. Furthermore, although features operate in a particular combination and may be initially depicted as claimed as such, one or more features from a claimed combination may in some cases be excluded from the combination, the claimed combination being a sub-combination. or a variant of a sub-combination.

Likewise, although acts are depicted in the figures in a particular order, it should not be construed that all acts shown must be performed or that such acts must be performed in the specific order or sequential order shown in order to achieve desirable results. In certain cases, multitasking and parallel processing may be advantageous. Further, the separation of the various system components of the above-described embodiments should not be construed as requiring such separation in all embodiments, and the program components and systems described may generally be integrated together into a single software product or packaged into multiple software products. You have to understand that you can.

Certain embodiments of the subject matter described herein have been described. Other embodiments are within the scope of the following claims. For example, acts recited in the claims may be performed in a different order and still achieve desirable results. As an example, the processes illustrated in the accompanying drawings do not necessarily require the specific illustrated order or sequential order to achieve desirable results. In certain implementations, multitasking and parallel processing may be advantageous.

The present description sets forth the best mode of the invention, and provides examples to illustrate the invention, and to enable a person skilled in the art to make and use the invention. This written specification does not limit the present invention to the specific terms presented. Accordingly, although the present invention has been described in detail with reference to the above-described examples, those skilled in the art can make modifications, changes and modifications to the examples without departing from the scope of the present invention.

Therefore, the scope of the present invention should not be defined by the described embodiments, but should be defined by the claims.

100: communication network
200: terminal 300: shopping mall server

Claims (1)

In the system that provides the shortest distance online purchase flow,
a terminal in which at least one of a mobile app and a website for an online shopping mall is executed and operated by a consumer; and
Analyze the first purchase history of the consumer including at least one of the first purchase time, the number of re-purchase, the re-purchase time, the last purchase time, and the delivery completion time for the at least one second product of the consumer do,
calculating an additional purchase scheduled time of the at least one second product based on the first purchase history;
Based on the analysis result, a specific product included in the at least one second product among products included in the consumer's shopping cart is determined as the first product for which the consumer's intention to purchase is estimated, wherein the specific product is the Among the products included in the consumer's shopping cart, the additional purchase scheduled time is a product within a first period from the current time,
Transmitting a request message requesting the consumer to determine whether to purchase the first product to the terminal,
Receiving a response message for whether to purchase the first product from the terminal,
a management server for performing a payment procedure for the first product based on the response message; including,
The management server,
control to match the consumer and the other consumers to a plurality of peer groups, respectively, based on the first profile of the consumer and the second profiles of other consumers;
analyzing a second purchase history for at least one peer group in which the consumer and the other consumer are included together;
Identifies the number of peer groups in which the consumer is included;
providing the terminal with information indicating at least one fifth product including the number of products corresponding to the number of peer groups included in the consumer, based on the second purchase details for the at least one peer group; characterized,
The terminal further includes a gyro sensor and an illuminance sensor,
The management server,
A first screen related to the online shopping mall is controlled to be displayed on the terminal, wherein the first screen is divided into a first space, a second space, a third space and a fourth space,
Based on the horizontal and vertical angles obtained by the gyro sensor and the amount of light obtained by the illuminance sensor, it is estimated at the position of the consumer's gaze with respect to the terminal,
Set a position most exposed to the estimated consumer's gaze position as the first space,
Set a position that is not most exposed to the estimated consumer's gaze position as the fourth space,
Control to display information on the at least one fifth product in the first space,
Control to display information about the first profile in the second space,
Control to display information about the second profile in the third space,
In the fourth space, information indicating the difference between the first profile and the second profile is controlled to be displayed,
The management server,
extracting one or more third products whose scheduled additional purchase time is within a second period from the current time from among the at least one second product,
Transmitting information about the one or more third products to the terminal,
Characterized in that it comprises setting at least one product selected through the terminal by the consumer from among the one or more third products as at least one sixth product,
A system that provides the shortest distance online purchase flow.

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