WO2022124655A1

WO2022124655A1 - Product ordering service providing method and system

Info

Publication number: WO2022124655A1
Application number: PCT/KR2021/017511
Authority: WO
Inventors: 정명기
Original assignee: 정명기
Priority date: 2020-12-08
Filing date: 2021-11-25
Publication date: 2022-06-16
Also published as: JP2023552570A; KR20220081317A; KR102367220B1

Abstract

The present invention relates to a product ordering service providing method and system. The product ordering service providing method is a product ordering service providing method performed by a product ordering service providing server and may comprise the steps of: receiving, from a user terminal, a product ordering request including user information for product delivery and product classification information including user skin type information; configuring at least one product in consideration of the product classification information; and enabling the configured at least one product to be delivered according to the user information.

Description

Method and system for providing product ordering service

The present invention relates to a method and system for providing a product ordering service, and more particularly, to a method and system for providing a product ordering service capable of providing a product ordering service by configuring a product according to a user's skin type.

In general, when the seasons change, consumers' interest in appearance changes and innovative cosmetics that can suppress the effect of seasons on emotions are introduced to consumers, and seasonality is emerging as an important factor in determining beauty trends.

As a result, consumers also search for cosmetics according to skin type and skin concerns through portal sites recently to purchase cosmetics by season, but there are difficulties in selecting and purchasing hundreds of thousands of cosmetics correctly.

Recommendations through select shops or door-to-door salespeople also have the purpose of promoting their products, and there are many promotional advertisement reviews for cosmetics that are advertised on social media for a small amount of money, so it is difficult to trust products recommended by beauty bloggers or YouTubers. It is difficult, and the product that the consumer ultimately purchases may cause side effects.

The present invention is to solve the above problems, and the method and system for providing a product order service according to an embodiment of the present invention can provide a product order service by configuring a product according to a user's skin type.

In order to achieve the above object, the product order service providing method according to an embodiment of the present invention, in the product order service providing method performed in the product order service providing server, user information for product delivery from a user terminal and Receiving a product order request including product classification information including user skin type information, configuring at least one product in consideration of the product classification information, and configuring the configured at least one product according to the user information It may include a step of processing to be delivered.

In an embodiment, the product classification information may further include at least one of a desired price range, a season of use, a desired product type, and a desired product composition ratio.

In one embodiment, the step of receiving the product order request includes, when receiving an image or skin condition information representing the user's skin condition from the user terminal, transmitting it to the expert terminal, the expert diagnoses from the expert terminal It may include receiving user skin type information, and receiving a product order request including user information for product delivery and product classification information including the user skin type information from the user terminal.

In one embodiment, the method further comprises: learning a model for recommending a product for each skin type through machine learning using a recommended product for each skin type or a component recommended for each skin type received from the expert terminal, and configuring the at least one product The step may include configuring at least one product through a model for recommending a product for each skin type in consideration of the product classification information.

In one embodiment, after processing to be delivered, receiving feedback data on whether or not the at least one product is satisfied from the user terminal, and recommending the product for each skin type using the received feedback data The method may further include performing reinforcement learning of the model.

In one embodiment, after processing to be delivered, receiving and storing feedback data on whether the one product is satisfied from the user terminal, and receiving a product reorder request from the user terminal, the received It may include the step of configuring the product further considering the feedback data.

The product ordering service providing server according to an embodiment of the present invention includes an order request receiving unit for receiving a product order request including product classification information including user information and user skin type information for product delivery from a user terminal, the product It may include a product configuration unit for configuring at least one product in consideration of the classification information, and an order delivery processing unit for processing the configured at least one product to be delivered according to the user information.

In one embodiment, the method further comprises a model learning unit for learning a model for recommending a product for each skin type through machine learning using a recommended product for each skin type or a component recommended for each skin type received from the expert terminal, wherein the product configuration unit includes: At least one product may be configured through a model for recommending the product for each skin type in consideration of the classification information.

In one embodiment, further comprising a feedback receiving unit for receiving and storing feedback data on whether the one product is satisfied from the user terminal, the product configuration unit, when receiving a product reorder request from the user terminal, the receiving The product can be configured by considering the feedback data.

In one embodiment, the method further comprises a feedback receiving unit for receiving feedback data on whether the one product is satisfied from the user terminal, wherein the model learning unit recommends the product for each skin type using the received feedback data. Reinforcement learning of the model can be performed.

Product order service providing system according to an embodiment of the present invention, a user terminal for transmitting a product order request including product classification information including user information and user skin type information for product delivery to a product ordering service providing server; and when receiving a product order request including product classification information including user information and user skin type information for product delivery from the user terminal, configure at least one product in consideration of the product classification information, and It may include a product order service providing server that processes at least one product to be delivered according to the user information.

In one embodiment, the apparatus further comprises an expert terminal for transmitting information on recommended products for each skin type or recommended ingredients for each skin type, wherein the product ordering service providing server includes recommended products for each skin type or recommended ingredients for each skin type received from the expert terminal can be used to train a model that recommends products for each skin type through machine learning.

The product order service providing method and system according to an embodiment of the present invention as described above has the effect that the user can be provided with a reliable product suitable for his or her skin type by configuring and providing the product according to the user's skin type. .

1 is a diagram schematically illustrating a product order service providing system according to an embodiment of the present invention.

2 is a block diagram illustrating a customized cosmetic order service providing server according to an embodiment of the present invention.

3 is a flowchart illustrating a product order service providing method performed by the product ordering service providing server 100 according to an embodiment of the present invention.

4 and 5 are exemplary views of a screen for inputting product classification information provided to a user terminal by a product ordering service providing server according to an embodiment of the present invention.

6 is a view for explaining product information stored in the product information DB of the product order service providing server according to an embodiment of the present invention.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings in order to clarify the technical spirit of the present invention. In describing the present invention, if it is determined that a detailed description of a related well-known function or component may unnecessarily obscure the gist of the present invention, the detailed description thereof will be omitted. Elements having substantially the same functional configuration in the drawings are given the same reference numbers and reference numerals as much as possible even though they are shown in different drawings. For convenience of explanation, if necessary, the device and method will be described together.

Referring to FIG. 1 , the product ordering service providing system according to an embodiment of the present invention includes a product ordering service providing server 100 , at least one user terminal 200 , at least one expert terminal 300 , and a network 400 . ) may be included.

The product order service providing server 100 may be implemented as a server corresponding to a computer or program capable of receiving an order request from the user terminal 200 to configure and deliver a product suitable for the user. Here, the product type may include cosmetics and beauty-related products, such as skin care, makeup, nail, perfume, daily necessities, accessory tools, beauty food, male-only products, baby-only products, and hair care products.

In an embodiment, the product ordering service providing server 100 may learn a model for recommending a product for each skin type through machine learning using a recommended product for each skin type or a recommended component for each skin type received from the expert terminal 300 . .

In one embodiment, the product order service providing server 100 receives the product reorder request from the user terminal 200 after receiving the feedback data on whether or not the at least one product delivered from the user terminal 200 is satisfied. , it is possible to configure and provide a product in consideration of the received feedback data.

The user terminal 200 and the expert terminal 300 are devices capable of accessing the product order service providing server 100 through a wired and/or wireless communication network such as the Internet and/or an intranet, and include a laptop computer, a handheld device, and a smart phone. , a tab, a mobile terminal such as a tablet PC, a desktop computer, or any suitable device using or directly or indirectly connected thereto.

In addition, the user terminal 200 may be implemented as a variety of devices that can input product classification information including user information and user skin type information for product delivery in order to order a product suitable for them and perform payment. have.

The user terminal 200 may be a terminal that receives a product suitable for the user by using a product ordering service related web page, an app page, a program, or an application. Accordingly, the user may be provided with a product order service provision service through the user terminal 200 .

The expert terminal 300 is a terminal possessed by a medical professional such as a dermatologist, and in order to learn a model for recommending a product for each skin type, the product ordering service providing server 100 is provided for each skin type, such as a recommended product for each skin type or a recommended ingredient for each skin type. Type-specific information can be provided.

In an embodiment, the expert terminal 300 may receive an image or skin condition information representing the user's skin condition from the product ordering service providing server 100 . An expert in possession of the expert terminal 300 may analyze the user's skin image or skin condition information to diagnose the user's skin type. Accordingly, when the product ordering service providing server 100 receives the user skin type information diagnosed by the expert from the expert terminal 300, the product can be configured for the user by using the user skin type information diagnosed by the expert. .

The network 400 is a communication network in which the product order service providing server 100, at least one user terminal 200, and at least one expert terminal 300 can communicate with each other, regardless of the communication aspect. It can be composed of various communication networks such as a personal area network (PAN), a local area network (LAN), a metropolitan area network (MAN), and a wide area network (WAN). have. In addition, the network 400 includes various kinds of intelligent communication [IoT (internet of things), IoE (internet of everything), IoST (internet of small things), etc.] and / or 5G communication may be supported. Since the network 400 is well known to those skilled in the art, a detailed description thereof will be omitted.

According to the product ordering service providing system according to an embodiment of the present invention, the user can provide a reliable product suitable for the user's skin type by configuring and providing the product according to the user's skin type information based on the product data analyzed by the expert. There is an effect that can be provided. In addition, even when the user reorders, by composing and providing the product based on the product data analyzed by experts and the feedback data of the consumer, the user can reduce the side effects of the product as the number of purchases increases and induce regular orders. there is an effect

Referring to FIG. 2 , the product order service providing server 100 according to an embodiment of the present invention includes an order request receiving unit 110 , a product configuration unit 120 , an order delivery processing unit 130 , and a model learning unit 140 . and a feedback receiver 150 .

The order request receiving unit 110 may receive a product order request including product classification information including user information for product delivery and user skin type information from the user terminal 200 . Here, the user information may include information for product delivery, such as ID, password, name, mobile phone number, and delivery address.

In one embodiment, the user skin type is normal skin, dry skin, oily skin, combination skin, sensitive skin, telangiectatic skin, crystalline acne, hyperpigmented skin, acne prone skin, acne pustular, acne purulent, cyst, It may include at least one of black comedones, rosacea skin, aging skin, and white comedones.

In an embodiment, the user skin type information may be selection data of the skin type selection received from the user terminal 200 by the order request receiving unit 110 transmitting the skin type selection to the user terminal 200 .

In an embodiment, the user's skin type information may be the contents of a medical certificate issued by the user to a hospital.

In one embodiment, when the order request receiving unit 110 receives an image or skin condition information representing the user's skin condition from the user terminal 200 , it transmits it to the expert terminal 300 , and receives the expert from the expert terminal 300 . may receive the user's skin type information diagnosed by . Accordingly, the order request receiving unit 110 may receive a product order request including product classification information including user information and user skin type information for product delivery from the user terminal 200 .

In this case, the desired price range may be a price range at which the user wants to purchase at least one product. For example, the desired price range may be 5,000 won or less, 5,000 won to 10,000 won, 10,000 won to 30,000 won, 30,000 won to 50,000 won, and the like.

Also, the season of use may be a season in which the user uses the corresponding product. The season of use may be directly input from the user terminal 200 , but may be automatically set according to the order date. For example, even if the order request receiving unit 110 does not receive information on the season of use from the user terminal 200 , the product configuration unit 120 is at least one product that is good to use in spring if the order date is April. can be configured.

Also, the desired product type may be a product type that the user wants to receive. In an embodiment, the product type may include at least one of skin care, makeup, nail, perfume, daily necessities, accessory tools, beauty food, male-only products, baby-only products, and hair care products.

Also, the desired product composition ratio may be a product composition ratio desired by the user. Here, the desired product composition ratio may be a price ratio of each of at least one product or a ratio of the number of each of the at least one product. For example, if it is desired that at least one product to be delivered includes only a skin, 100% of the skin may be input from the user terminal 200 .

The product configuration unit 120 may configure at least one product in consideration of product classification information. That is, the product configuration unit 120 may configure at least one product according to the user's skin type information. In an embodiment, the product configuration unit 120 may configure at least one product in consideration of information further including at least one of a desired price range, a season of use, a desired product type, and a desired product composition ratio.

In one embodiment, the product component 120 may configure the product in consideration of the combination of ingredients between products. For example, the product configuration unit 120 determines whether each component of a product used in the same area as a skin care product and a makeup product is a combination that causes trouble with each other or a combination that fills in the insufficient components to configure the box. can For example, since vitamin C coagulates the protein of collagen, it is not properly absorbed into the skin, so products containing vitamin C and products containing collagen may not be included. On the other hand, a product containing vitamin C that is effective in whitening but lacking in moisturizing effect can be included together with a moisturizing product.

In an embodiment, the product configuration unit 120 may configure products in a combination having the highest product discount rate. For example, the product configuration unit 120 may configure products having the highest discount rate among currently sold products so that expensive products discounted only for a certain period of time can be used at a low price.

In an embodiment, the order request receiving unit 110 may further receive information about an allergic component from the user terminal 200 . Accordingly, the product component 120 may constitute at least one product except for a product containing an allergic ingredient.

The model learning unit 140 may learn a model for recommending a product for each skin type through machine learning using a recommended product for each skin type or a recommended component for each skin type received from the expert terminal 300 . In this case, the product configuration unit 120 may configure at least one product through a model for recommending products for each skin type in consideration of product classification information.

The order delivery processing unit 130 may process at least one configured product to be delivered according to user information.

In an embodiment, the order delivery processing unit 130 may make a payment at regular intervals, calculate a lump sum payment, and process a reservation order to be delivered every desired delivery date. For example, if a three-month unit is set to be delivered every season, a product suitable for the season can be configured and delivered using the learning model on any delivery date of spring, summer, autumn, and winter. In addition, if the delivery date is set to July 1 and delivery is set to be delivered every two months, a pre-order may be processed so that the purchased product is automatically delivered using July 1, September 1, November 1, etc. as delivery dates. .

The feedback receiver 150 may receive and store feedback data on whether at least one product delivered from the user terminal 200 is satisfied. Thereafter, when receiving a product reorder request from the user terminal 200 , the product configuration unit 120 may configure and provide a product in consideration of the received feedback data.

In an embodiment, when the feedback receiving unit 150 receives feedback data on whether at least one product is satisfied from the user terminal 200 , the model learning unit 140 selects a product for each skin type using the received feedback data. Reinforcement learning of the recommended model can be performed.

The product order service providing server 100 according to an embodiment of the present invention may further include a customer information DB 160 and a product information DB 170 .

The customer information DB 160 may store customer information including member information and feedback data on products used. Here, the feedback data may be product evaluation data input by the user through the user terminal 200 , product satisfaction data, or the like.

Product information may be stored in the product information DB 170 . Information on various ingredients, product information, inventory information, and the like may be stored in such a product. This product information is machine-learned by the model learning unit 140 and can be subdivided into skin types based on analysis data for each skin type and user feedback data, so that the product information in the product information DB 160 is classified and may be updated.

Also, the product information DB 170 may be linked with a manufacturer's terminal or a seller's terminal to update product data in real time. The model learning unit 140 may update the model for recommending products for each skin type by transmitting product data to the expert terminal 300 whenever the product data is updated, and receiving product analysis data of the corresponding product from the expert terminal 300 .

Referring to FIG. 3 , the order request receiving unit 110 may receive a product order request including product classification information including user information for product delivery and user skin type information from the user terminal 200 ( S310 ). .

Next, the product configuration unit 120 may configure at least one product in consideration of the product classification information (S330). That is, the product configuration unit 120 may configure at least one product according to the user's skin type information. In an embodiment, the product configuration unit 120 may configure at least one product in consideration of information further including at least one of a desired price range, a season of use, a desired product type, and a desired product composition ratio.

In an embodiment, the model learning unit 140 may learn a model for recommending a product for each skin type through machine learning using a recommended product for each skin type or a recommended component for each skin type received from the expert terminal 300 . Accordingly, the product configuration unit 120 may configure at least one product through a model for recommending products for each skin type in consideration of product classification information.

Subsequently, the order delivery processing unit 130 may process the at least one configured product to be delivered according to the user information (S350).

In an embodiment, after processing to be delivered, the feedback receiver 150 may receive and store feedback data on whether at least one product delivered from the user terminal 200 is satisfied or not. Thereafter, when receiving a product reorder request from the user terminal 200 , the product configuration unit 120 may configure and provide a product in consideration of the received feedback data.

In one embodiment, after processing to be delivered, when the feedback receiving unit 150 receives feedback data on whether at least one product is satisfied from the user terminal 200 , the model learning unit 140 receives the feedback data can be used to conduct reinforcement learning of the model that recommends products for each skin type.

Referring to FIG. 4 , the product order service providing server 100 may provide a screen 40 for inputting user skin type information to the user terminal 200 . The screen 40 for inputting the user's skin type information is a skin type selection window 41 through which the user can directly select his or her own skin type, or a diagnosis information entry window 43 in which the contents of a diagnosis issued by a hospital can be written. may include

The user terminal 200 receives from the user through the skin type selection window 41, normal skin, dry skin, oily skin, combination skin, sensitive skin, telangiectasia skin, crystalline acne, hyperpigmented skin, acne skin, The user's skin type including at least one of pustular acne, purulent acne, cyst, black comedones, injection skin, aging skin, and white comedones may be directly selected and transmitted to the product ordering service providing server 100 .

Alternatively, the user terminal 200 may receive the contents of the diagnosis issued by the hospital from the user through the diagnosis document contents input window 43 and transmit it to the product order service providing server 100 .

In this case, the product ordering service providing server 100 may configure at least one product in consideration of the received user skin type information. For example, when receiving the sensitive skin input from the user terminal 200 , the product ordering service providing server 100 may configure at least one product suitable for sensitive skin and process it to be delivered to the user.

Referring to FIG. 5 , the product order service providing server 100 may provide a screen 50 for inputting a desired price range and a desired product composition ratio to the user terminal 200 . The screen 50 for inputting a desired price range and desired product composition ratio includes a desired price range selection window 51 through which the user can select a price range at which the user wants to purchase a box containing at least one product, and the user inputs the desired product composition ratio It may include a desired product composition ratio input window 53 that can do this.

The user terminal 200, through the desired price range selection window 51, a box including at least one product such as a box worth 2 million won, a box worth 1 million won, a box worth 500,000 won, a box worth 300,000 won, etc. A desired price of may be selected and transmitted to the product order service providing server 100 .

In addition, the user terminal 200, through the desired product composition ratio input window 53, from the user at least one of skin care, makeup, nail perfume, daily necessities, small tools, beauty food, men's, baby, hair care products The ratio of each product may be received and transmitted to the product order service providing server 100 .

For example, the user terminal 200 receives a selection of Beauty Box B (KRW 1 million) from the user through the desired price

range selection window

51, and 100% of skin care from the user through the desired product composition ratio input window 53 The input may be received and transmitted to the product order service providing server 100 . At this time, the product order service providing server 100 may configure the skin care product worth 1 million won and process it to be delivered to the user.

The model learning unit 140 learns a model for recommending a product for each skin type using the recommended product for each skin type or component data for each skin type received from the expert terminal 300, and for each skin type, product type, price, and season. It can be classified and stored in the product information DB 170 . In addition, the model learning unit 140 may further receive recommended product information for each season of each skin type for each skin type from the expert terminal 300, and, as well as this, information for classification by skin type, product type, and season can receive more.

In this way, the product information DB 170 may store cosmetic and beauty related product information classified by type. First, it may be first classified by skin type and stored (S61). For example, normal skin, dry skin, oily skin, combination skin, sensitive skin, etc. may be classified and stored by skin type.

Also, it may be secondarily classified by product type and stored (S63). For example, makeup, household goods, nail perfume, small tools, men's, baby, skin care, beauty food, hair care, etc. may be classified and stored by product type.

In addition, it may be stored by classifying by price in the third order (S65). For example, 5,000 won or less, 5,000 won to 10,000 won, 10,000 to 30,000 won, 30,000 to 50,000 won, 50,000 to 100,000 won, etc. may be classified and stored by price.

In addition, it may be classified and stored by season in the fourth order (S67). For example, it may be classified and stored by season, such as spring, summer, autumn, and winter.

Accordingly, the product configuration unit 120 may recommend a product in a random format based on product information stored in the product information DB. For example, when receiving a request to purchase a product with 100% skin care for Beauty Box E at 200,000 won in spring (April) from the user terminal 200, one skin care product in the 200,000 won range for skin care product D or two skins Skin care product A and skin care product B, which are products in the 100,000 won range, can be delivered.

So far, the present invention has been described in detail with reference to the preferred embodiments shown in the drawings. These embodiments are not intended to limit the present invention, but are merely illustrative, and should be considered in an illustrative rather than a restrictive sense. The true technical protection scope of the present invention should be determined by the technical spirit of the appended claims rather than the above description. Although specific terms are used in this specification, they are only used for the purpose of describing the concept of the present invention and are not used to limit the meaning or scope of the present invention described in the claims. Each step of the present invention does not necessarily have to be performed in the order described, and may be performed in parallel, selectively, or individually. Those of ordinary skill in the art to which the present invention pertains will understand that various modifications and equivalent other embodiments are possible without departing from the essential technical spirit of the present invention as claimed in the claims. It is to be understood that equivalents include both currently known equivalents as well as equivalents developed in the future, ie, all elements invented to perform the same function, regardless of structure.

Claims

In the product ordering service providing method performed in the product ordering service providing server,

receiving a product order request including product classification information including user information and user skin type information for product delivery from a user terminal;

configuring at least one product in consideration of the product classification information; and

and processing the configured at least one product to be delivered according to the user information.
According to claim 1,

The product classification information is

A method for providing a product ordering service, characterized in that it further includes at least one of a desired price range, a season of use, a desired product type, and a desired product composition ratio.
According to claim 1,

Receiving the product order request comprises:

when receiving an image or skin condition information representing a user's skin condition from the user terminal, transmitting it to an expert terminal;

receiving user skin type information diagnosed by an expert from the expert terminal; and

and receiving a product order request including product classification information including user information for product delivery and user skin type information from the user terminal.
The method of claim 1,

The method further comprises the step of learning a model for recommending products for each skin type through machine learning using recommended products for each skin type or components recommended for each skin type received from the expert terminal,

The step of composing the at least one product comprises:

and configuring at least one product through a model for recommending products for each skin type in consideration of the product classification information.
The method of claim 1,

After processing for delivery,

receiving feedback data on whether the at least one product is satisfied from the user terminal; and

The method of claim 1, further comprising the step of performing reinforcement learning on a model for recommending a product for each skin type by using the received feedback data.
According to claim 1,

After processing for delivery,

receiving and storing feedback data on whether the one product is satisfied from the user terminal; and

and configuring a product in consideration of the received feedback data when receiving a product reorder request from the user terminal.
an order request receiving unit for receiving a product order request including product classification information including user information and user skin type information for product delivery from the user terminal;

a product configuration unit configured to configure at least one product in consideration of the product classification information; and

A product order service providing server including an order delivery processor configured to process the at least one configured product to be delivered according to the user information.
8. The method of claim 7,

The product classification information is

Product ordering service providing server, characterized in that it further includes at least one of a desired price range, a season of use, a desired product type, and a desired product composition ratio.
8. The method of claim 7,

Further comprising a model learning unit for learning a model for recommending a product for each skin type through machine learning using the recommended product for each skin type or components recommended for each skin type received from the expert terminal,

The product component part,

The product ordering service providing server, wherein at least one product is configured through a model for recommending products for each skin type in consideration of the product classification information.
8. The method of claim 7,

Further comprising a feedback receiving unit for receiving and storing feedback data on whether the one product is satisfied from the user terminal,

The product component part,

When receiving a product reorder request from the user terminal, the product order service providing server, characterized in that for configuring the product in consideration of the received feedback data.
10. The method of claim 9,

Further comprising a feedback receiving unit for receiving feedback data on whether the one product is satisfied from the user terminal,

The model learning unit,

A product ordering service providing server, characterized in that reinforcement learning of a model for recommending a product for each skin type is performed using the received feedback data.
a user terminal for transmitting a product order request including product classification information including user information and user skin type information for product delivery to a product ordering service providing server; and

When receiving a product order request including product classification information including user information and user skin type information for product delivery from the user terminal, at least one product is configured in consideration of the product classification information, and the configured at least A product ordering service providing system comprising a product ordering service providing server that processes one product to be delivered according to the user information.
13. The method of claim 12,

Further comprising an expert terminal for transmitting information on recommended products for each skin type or recommended ingredients for each skin type,

The product order service providing server,

A product ordering service providing system, characterized in that a model for recommending a product for each skin type is learned through machine learning by using the recommended product for each skin type or components recommended for each skin type received from the expert terminal.