JP2023552570A - Product ordering service provision method and system - Google Patents

Abstract

The present invention relates to a product ordering service providing method and system, and the product ordering service providing method includes a product ordering service providing method performed by a product ordering service providing server, in which user information and skin type of the user for product delivery are sent from a user terminal. configuring at least one product in consideration of the product classification information; and delivering the configured at least one product in accordance with the user information. The method includes a step of processing the method as follows. [Selection diagram] Figure 3

Description

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 that can configure products according to a user's skin type and provide a product ordering service.

In general, when the seasons change, consumers' interest in their looks changes, and seasonality plays an important role in determining beauty trends, presenting consumers with innovative cosmetics that can curb the emotional impact of the season. It has emerged as a major factor.

For this reason, consumers also purchase cosmetics seasonally, so recently they search on portal sites based on their skin type and skin concerns, but it is difficult to correctly select and purchase hundreds of thousands of cosmetics. There are hardships.

Recommendations through editorial shops and door-to-door salespeople also have the purpose of publicizing their own products, and when it comes to cosmetics through public relations on SNS, there are many public relations advertisements that are used for receiving a certain amount of money. It's difficult to trust products recommended by beauty bloggers and YouTubers, and the products consumers end up purchasing may have side effects.

SUMMARY OF THE INVENTION An object of the present invention is to solve the above problems, and a method and system for providing a product ordering service according to an embodiment of the present invention configures products according to a user's skin type. is to provide ordering services.

In order to achieve the above object, a method for providing a product ordering service according to an embodiment of the present invention includes a method for providing a product ordering service performed by a product ordering service providing server, in which user information for product delivery and the user's information are sent from a user terminal. receiving a product order request including product classification information including skin type information; configuring at least one product taking into account the product classification information; and configuring the configured at least one product with the user information. processing the delivery according to the method.

In one 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 composition ratio of the desired product.

In one embodiment, the step of receiving the product order request includes the step of transmitting an image or skin condition information indicating the user's skin condition to the professional terminal when the user terminal inputs the image or skin condition information; inputting information on the user's skin type diagnosed by an expert from the home terminal; and requesting a product order from the user terminal, including user information for product delivery and product classification information including the user's skin type information. The method may include the step of: receiving.

In one embodiment, the method further includes the step of learning a model for recommending products by skin type through machine learning using the recommended products by skin type or the recommended ingredients by skin type received from the expert terminal, The step of configuring one product may include the step of configuring at least one product through a model that recommends products for each skin type in consideration of the product classification information.

In one embodiment, after the step of processing to deliver, receiving feedback data regarding satisfaction with the at least one product from the user terminal; and using the received feedback data to The method may further include the step of performing reinforcement learning on a model for recommending products.

In one embodiment, after the step of processing for delivery, receiving and storing feedback data regarding satisfaction of the one product from the user terminal; and receiving a product reorder request from the user terminal. , configuring the product further taking into account the received feedback data.

A product order service providing server according to an embodiment of the present invention includes an order request receiving unit that receives a product order request including user information for product delivery and product classification information including user skin type information from a user terminal; The method includes a product configuration unit that configures at least one product in consideration of product classification information; and an order delivery processing unit that processes the configured at least one product to be delivered according to the user information.

In one 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 composition ratio of the desired product.

In one embodiment, the model learning unit further includes a model learning unit that learns a model for recommending products by skin type through machine learning using recommended products by skin type or recommended ingredients by skin type received from the expert terminal; The product configuration unit may configure at least one product using a model that recommends products for each skin type, taking the product classification information into consideration.

In one embodiment, the product configuration unit further includes a feedback receiving unit that receives and stores feedback data regarding satisfaction of the one product from the user terminal, and when the product configuration unit receives a product reorder request from the user terminal, A product may be configured in consideration of the received feedback data.

In one embodiment, the model learning unit further includes a feedback receiving unit that receives feedback data regarding the satisfaction level of the one product from the user terminal, and the model learning unit uses the received feedback data to determine the level of satisfaction for each skin type. You can perform reinforcement learning for a model that recommends products.

A product order service providing system according to an embodiment of the present invention includes a user terminal that transmits a product order request including user information for product delivery and product classification information including user skin type information to a product order service providing server; and upon receiving from the user terminal a product order request including user information for the product delivery and product classification information including user skin type information, configuring at least one product in consideration of the product classification information. , a product ordering service providing server that processes the configured at least one product to be delivered according to the user information.

In one embodiment, the product ordering service providing server further includes an expert terminal that transmits information regarding recommended products for each skin type or recommended ingredients for each skin type, and the product ordering service providing server receives recommendations for each skin type from the expert terminal. Using recommended ingredients for each product or skin type, a model that recommends products for each skin type can be learned through machine learning.

The method and system for providing a product ordering service according to an embodiment of the invention described above provides reliable products that suit the skin type of the user by configuring and providing the product according to the user's skin type. There is an effect that can be done.

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

FIG. 1 is a block diagram illustrating a customized cosmetics ordering service providing server according to an embodiment of the present invention.

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

FIG. 2 is an exemplary diagram of a screen for inputting product classification information provided from a product order service providing server to a user terminal according to an embodiment of the present invention. FIG. 2 is an exemplary diagram of a screen for inputting product classification information provided from a product order service providing server to a user terminal according to an embodiment of the present invention.

3 is a diagram illustrating product information stored in a product information DB of a product order service providing server according to an embodiment of the present invention; FIG.

Hereinafter, in order to clarify the technical idea of the present invention, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. In the description of the present invention, if it is determined that detailed description of related well-known functions or components may unnecessarily obscure the gist of the present invention, the detailed description will be omitted. Components having substantially the same functional structure in the drawings are given the same reference numbers and symbols as much as possible even if they appear in other drawings. Where necessary for convenience of explanation, apparatus and methods will be described together.

FIG. 1 is a diagram schematically showing a product ordering service providing system according to an embodiment of the present invention.

Referring to FIG. 1, a 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.

The product ordering service providing server 100 may be implemented as a server corresponding to a computer or program that can receive order requests from the user terminals 200 and process them to configure and deliver products tailored to the user. Here, the product types may include cosmetics and beauty-related products such as skin care, makeup, nails, perfume, household goods, gadgets, beauty food, products for men, products for babies, and hair care products.

In one embodiment, the product ordering service providing server 100 uses machine learning to recommend products for each skin type using recommended products for each skin type or recommended ingredients for each skin type received from the expert terminal 300. can be learned.

In one embodiment, the product ordering service providing server 100 receives feedback data regarding the satisfaction level of at least one delivered product from the user terminal 200 and then receives a product reorder request from the user terminal 200. Products can be configured and delivered taking into account feedback data.

The user terminal 200 and the expert terminal 300 are devices that can be connected to the product order service providing server 100 via a wired and/or wireless communication network such as the Internet and/or an intranet, and are devices such as notebooks, handheld devices, smartphones, tabs, etc. It may be a mobile terminal such as a tablet PC, a desktop computer, or any suitable device using or connected directly or indirectly to such a device.

In addition, the user terminal 200 can be used as a variety of devices that can input user information for product delivery and product classification information including information on the user's skin type, etc., in order to order products that suit the user, and perform payment of expenses. can also be realized.

The user terminal 200 may be a terminal to which a product suitable for the user is provided using a product ordering service related web page, app page, program, or application. Thereby, the user can receive the product order service provision service via the user terminal 200.

The expert terminal 300 is a terminal owned by a medical professional such as a dermatologist, and in order to learn a model that recommends products for each skin type, the expert terminal 300 sends recommended products for each skin type to the product order service providing server 100. Alternatively, information by skin type, such as recommended ingredients for each skin type, can be provided.

In one embodiment, the expert terminal 300 may receive an image or skin condition information indicating the user's skin condition from the product ordering service providing server 100. The expert who owns the expert terminal 300 can analyze the user's skin image or skin condition information and diagnose the user's skin type. As a result, when the information on the user's skin type diagnosed by the expert is input from the expert terminal 300, the product ordering service providing server 100 uses the information on the user's skin type diagnosed by the expert to provide the user with the user's skin type. You can configure the product to suit your needs.

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, and can be configured in any communication mode. The network 400 can be configured with various communication networks such as a short-range communication network (PAN), a near-field communication network (LAN), a metropolitan area communication network (MAN), and a wide area communication network (WAN). The network 400 can support various object intelligence communications [e.g., IoT, IoE, IoST, etc.] and/or 5G communications that exchange and process information between distributed components. Since this is well known, detailed explanation will be omitted.

According to the product ordering service providing system according to an embodiment of the present invention, a user can configure and provide a product according to the user's skin type information based on product data analyzed by an expert. This has the effect of allowing you to receive reliable products that suit your skin type. In addition, by configuring and providing products based on product data analyzed by experts and consumer feedback data even when users reorder, users can reduce the occurrence of side effects of products as the number of purchases increases. This has the effect of inducing regular orders.

FIG. 2 is a block diagram illustrating a customized cosmetics ordering service providing server according to an embodiment of the present invention.

Referring to FIG. 2, a product ordering 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, a model learning unit 140, and a feedback receiving unit 150. be able to.

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

In one embodiment, the user's skin type is normal skin, dry skin, oily skin, combination skin, sensitive skin, telangiectatic skin, nodular acne, skin hyperpigmentation, acne skin, pustular acne, purulent skin. The skin may include at least one of acne, cyst, blackhead, injected skin, aging skin, and whitehead.

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

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

In one embodiment, when an image or skin condition information representing the user's skin condition is input from the user terminal 200, the order request receiving unit 110 transmits this to the expert terminal 300, and the order request receiving unit 110 transmits this to the expert terminal 300. Information about the user's skin type diagnosed by an expert can be input. Accordingly, the order request receiving unit 110 can receive a product order request including user information for product delivery and product classification information including information on the user's skin type from the user terminal 200.

In one 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 composition ratio of the desired product.

At this time, the desired price range may be a price range in 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, etc.

Moreover, the usage season may be the season in which the user uses the product. The season of use may be directly input from the user terminal 200, or may be automatically set according to the order date and time. For example, even if the order request receiving unit 110 does not receive information regarding the season of use from the user terminal 200, the product configuration unit 120 configures at least one product that can be used in spring if the order date is April. can do.

Further, the type of desired product may be the type of product that the user desires to purchase. In one embodiment, the product types may include at least one of skin care, makeup, nails, perfume, household products, gadgets, beauty food, men's products, baby products, and hair care products.

Furthermore, the composition ratio of the desired product may be the ratio of the product composition desired by the user. Here, the composition ratio of the desired products may be the price ratio of each of the at least one product, or may be the 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 skins, 100% skins may be entered from user terminal 200.

The product configuration unit 120 can configure at least one product in consideration of product classification information. That is, the product configuration unit 120 can configure at least one product according to information about the user's skin type. In one embodiment, the product configuration unit 120 configures 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 composition ratio of the desired product. can.

In one embodiment, the product configuring unit 120 can configure products by considering combinations of ingredients between products. For example, the product configuration unit 120 determines whether the ingredients of products used on the same area, such as a skin care product and a makeup product, are a combination that causes trouble with each other, or a combination that mutually satisfies the lack of ingredients. and configure the box. For example, vitamin C coagulates the protein in collagen, which prevents it from being absorbed well into the skin, so it is best not to mix products containing vitamin C with products containing collagen. On the other hand, a product containing vitamin C, which is highly effective for skin whitening but lacks moisturizing effect, and a moisturizing product can be included together.

In one embodiment, the product configuring unit 120 may configure the product using a combination with the highest product discount rate. For example, the product configuration unit 120 can configure products with the highest discount rate among products currently on sale, so that expensive products that are discounted for a certain period of time can be used at low prices.

In one embodiment, the order request receiving unit 110 may further input information regarding allergic ingredients from the user terminal 200. Accordingly, the product configuration unit 120 can configure at least one product excluding a product containing an allergic component.

The model learning unit 140 can learn a model that recommends products for each skin type through machine learning using the recommended products for each skin type or the recommended ingredients for each skin type received from the expert terminal 300. At this time, the product configuration unit 120 may configure at least one product using a model that recommends products for each skin type, taking into account the product classification information.

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

In one embodiment, the order delivery processing unit 130 may perform periodic payment at a predetermined period, and may perform pre-order processing such that payments are made in a lump sum and delivered on a desired delivery date. For example, if you set delivery by season in units of three months, a learning model will be used to configure and deliver products that match the season on any delivery date in spring, summer, fall, or winter. can be processed. Also, if you set the delivery date to July 1st and set it to be delivered every two months, the purchased items will be automatically delivered on July 1st, September 1st, November 1st, etc. Pre-orders can be processed for delivery.

The feedback receiving unit 150 may receive and store feedback data regarding the satisfaction level of at least one delivered product from the user terminal 200. Thereafter, when the product configuration unit 120 receives a product reorder request from the user terminal 200, it can configure and provide the product in consideration of the received feedback data.

In one embodiment, when the feedback receiving unit 150 receives feedback data regarding the satisfaction level of at least one product from the user terminal 200, the model learning unit 140 uses the received feedback data to Reinforcement learning can be performed on a model that recommends .

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 can store customer information including member information and feedback data regarding products used. Here, the feedback data may be product evaluation data, product satisfaction data, etc. input by the user via the user terminal 200.

Product information can be stored in the product information DB 170. Such products can store information regarding various ingredients, product information, inventory information, etc. Such product information is subjected to machine learning 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, and the product information in the product information DB 160 is typed in real time. Can be classified and updated separately.

Further, the product information DB 170 can update product data in real time in cooperation with a manufacturer terminal or a seller terminal. The model learning unit 140 transmits product data to the expert terminal 300 every time product data is updated, receives product analysis data for the corresponding product from the expert terminal 300, and updates a model that recommends products for each skin type. can.

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

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

In one embodiment, the user's skin type is normal skin, dry skin, oily skin, combination skin, sensitive skin, telangiectatic skin, nodular acne, skin hyperpigmentation, acne skin, pustular acne, purulent skin. The skin may include at least one of acne, cysts, blackheads, injected skin, aging skin, and whiteheads.

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

In one 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 composition ratio of the desired product.

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 can configure at least one product according to information about the user's skin type. In one 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 model learning unit 140 learns a model that recommends products for each skin type through machine learning using recommended products for each skin type or recommended ingredients for each skin type received from the expert terminal 300. I can do it. Accordingly, the product configuration unit 120 can configure at least one product using a model that recommends products for each skin type in consideration of product classification information.

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

In one embodiment, after being processed for delivery, the feedback receiving unit 150 may receive and store feedback data regarding the satisfaction level of the at least one product delivered from the user terminal 200. Thereafter, when the product configuration unit 120 receives a product reorder request from the user terminal 200, it can configure and provide the product in consideration of the received feedback data.

In one embodiment, when the feedback receiving unit 150 receives feedback data regarding the satisfaction level of at least one product from the user terminal 200 after processing for delivery, the model learning unit 140 uses the received feedback data to Reinforcement learning can be performed on a model that recommends products for each skin type.

4 and 5 are exemplary diagrams of screens for inputting product classification information provided to a user terminal from a product order service providing server according to an embodiment of the present invention.

Referring to FIG. 4, the product ordering service providing server 100 may provide a screen 40 for inputting information about the user's skin type to the user terminal 200. The screen 40 for inputting information on the user's skin type includes a skin type selection window 41 where the user can directly select the skin type of the user, or a medical certificate content entry window 43 where the user can enter the contents of the medical certificate issued by the hospital. can be included.

The user terminal 200 selects normal skin, dry skin, oily skin, complex skin, sensitive skin, telangiectatic skin, nodular acne, skin hyperpigmentation, acne skin, and pustules from the user through the skin type selection window 41. The user's skin type, including at least one of sexual acne, purulent acne, cyst, blackhead, injection skin, aged skin, and whitehead, can be directly selected and transmitted to the product ordering service providing server 100.

Alternatively, the user terminal 200 can input the contents of a hospital-issued medical certificate from the user through the medical certificate contents entry window 43 and transmit it to the product order service providing server 100 .

At this time, the product ordering service providing server 100 may configure at least one product in consideration of the input skin type information of the user. For example, when sensitive skin information is input from the user terminal 200, the product ordering service providing server 100 can configure at least one product suitable for sensitive skin and deliver it to the user.

Referring to FIG. 5, the product ordering service providing server 100 can provide a screen 50 on the user terminal 200 for inputting the desired price range and the composition ratio of the desired product. A screen 50 for inputting the desired price range and composition ratio of desired products includes a desired price range selection window 51 in which the user can select the price range in which the user desires to purchase a box containing at least one product, and a desired product configuration desired by the user. A desired product composition ratio input window 53 may be included in which a ratio can be input.

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

The user terminal 200 also receives at least one product from skin care, makeup, nail perfume, daily necessities, props, beauty food, men's, baby, and hair care products from the user via the desired product composition ratio input window 53. The respective ratios can be input and transmitted to the product ordering service providing server 100.

For example, in the user terminal 200, the user selects Beauty Box B (1 million won) through the desired price range selection window 51, and the user inputs 100% skin care through the desired product composition ratio input window 53. and can be transmitted to the product order service providing server 100. At this time, the product ordering service providing server 100 can configure skin care products worth 1 million won and deliver them to the user.

FIG. 6 is a diagram 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.

The model learning unit 140 learns a model that recommends products by skin type using the recommended products by skin type or recommended ingredient data by skin type received from the expert terminal 300, and The products can be classified and stored in the product information DB 170 by category, price, and season. In addition, the model learning unit 140 can further receive recommended product information for each skin type and season from the expert terminal 300, and can also classify the information by skin type, product type, and season. You may receive further information for.

In this way, the product information DB 170 can store information on cosmetics and beauty-related products classified by type. First, 1) it is possible to classify and save according to skin type (S61). For example, it is possible to classify and save skin types such as normal skin, dry skin, oily skin, complex skin, and sensitive skin.

Also, 2) it is possible to classify and save products by type (S63). For example, products such as makeup, daily necessities, nail perfume, props, men's, baby's, skin care, beauty food, hair care, etc. can be classified and saved by type.

Also, 3) it is possible to classify and save by price (S65). For example, you can categorize and save items by price, such as 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 50,000 won to 100,000 won.

Also, 4) it is possible to classify and save according to season (S67). For example, the information can be classified and saved according to seasons such as spring, summer, autumn, and winter.

Thereby, the product configuration unit 120 can recommend products in a random format based on the product information stored in the product information DB. For example, if a request is received from the user terminal 200 in spring (April) to purchase Beauty Box E, which costs 200,000 won, with 100% skin care, one skin care product D, which costs 200,000 won, or two skin care products. We can deliver skin care products A and B, which are skin care products in the 100,000 won range.

Up to now, the present invention has been described in detail focusing on the preferred embodiments shown in the drawings. Such embodiments are merely illustrative rather than limiting, and should be considered in an illustrative rather than a restrictive light. The true technical protection scope of the present invention should be determined by the technical spirit of the appended claims rather than by the foregoing description. Although certain terms are used herein, they are used solely for the purpose of illustrating the concept of the invention and are not intended to limit the meaning or scope of the invention as claimed. It is not what was used for. The steps of the invention do not necessarily have to be performed in the order described, but may be performed in parallel, selectively, or separately. Those with ordinary knowledge in the technical field to which the present invention pertains will be able to make various modifications and equivalent other embodiments without departing from the essential technical idea of the present invention as claimed in the claims. That will be understood. It should be understood that equivalents include not only currently known equivalents, but also equivalents developed in the future, i.e., all components invented to perform the same function, regardless of structure. be.

Claims (13)

In the product ordering service providing method performed by the product ordering service providing server,
receiving from a user terminal a product order request including user information for product delivery and product classification information including skin type information of the user;
configuring at least one product considering the product classification information; and processing the configured at least one product for delivery according to the user information;
Product ordering and service delivery methods, including: 2. The product ordering service providing method according to claim 1, wherein the product classification information further includes at least one of a desired price range, a season of use, a desired product type, and a composition ratio of the desired product. The step of receiving the product order request includes:
When an image showing the user's skin condition or skin condition information is input from the user terminal, transmitting this to the expert terminal;
inputting information on the user's skin type diagnosed by an expert from the expert terminal; and a product including user information for product delivery from the user terminal and product classification information including the user's skin type information. receiving an order request;
2. The product ordering service providing method according to claim 1, further comprising: further comprising the step of learning a model for recommending products by skin type through machine learning using the recommended products by skin type or the recommended ingredients by skin type received from the expert terminal;
The step of configuring the at least one product comprises:
The method of claim 1, further comprising the step of configuring at least one product using a model that recommends products for each skin type in consideration of the product classification information. receiving feedback data from the user terminal regarding satisfaction with the at least one product; and using the received feedback data to recommend products for the skin type. Steps to perform reinforcement learning on the model;
The method of providing product ordering service according to claim 1, further comprising: providing a product ordering service; receiving and storing feedback data regarding satisfaction of the one product from the user terminal after processing for delivery; and upon receiving a product reorder request from the user terminal; configuring the product further taking into account the feedback data;
2. The product ordering service providing method according to claim 1, further comprising: an order request receiving unit that receives a product order request including user information for product delivery and product classification information including user skin type information from a user terminal;
a product configuration unit that configures at least one product in consideration of the product classification information; and an order delivery processing unit that processes the configured at least one product to be delivered according to the user information;
Product ordering service providing server including. 8. The product order service providing server according to claim 7, wherein the product classification information further includes at least one of a desired price range, a season of use, a desired product type, and a composition ratio of the desired product. further comprising a model learning unit that learns a model for recommending products by skin type through machine learning using recommended products by skin type or recommended ingredients by skin type received from the expert terminal;
8. Providing a product ordering service according to claim 7, wherein the product configuration unit configures at least one product through a model that recommends products for each skin type in consideration of the product classification information. server. further comprising a feedback receiving unit that receives and stores feedback data regarding the satisfaction level of the one product from the user terminal;
8. The product ordering service providing server according to claim 7, wherein the product configuring unit configures the product in consideration of the received feedback data upon receiving a product reorder request from the user terminal. further comprising a feedback receiving unit that receives feedback data regarding the satisfaction level of the one product from the user terminal,
The product ordering service providing server according to claim 9, wherein the model learning unit performs reinforcement learning of a model that recommends products for each skin type using the received feedback data. a user terminal that transmits a product order request including user information for product delivery and product classification information including user skin type information to a product order service providing server; Upon receiving a product order request that includes product classification information that includes information about a user's skin type, 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. A product order service providing server that processes the product for delivery;
A product ordering service delivery system including: further comprising an expert terminal transmitting information regarding recommended products for each skin type or recommended ingredients for each skin type;
The product ordering service providing server is characterized by learning a model for recommending products by skin type through machine learning, using recommended products by skin type or recommended ingredients by skin type received from the expert terminal. The product ordering service providing system according to claim 12.

Images