CN112712416A

CN112712416A - Intelligent dress money selection data analysis system

Info

Publication number: CN112712416A
Application number: CN202110071508.0A
Authority: CN
Inventors: 陆勇
Original assignee: Guangzhou Yiqi Information Technology Co ltd
Current assignee: Guangzhou Yiqi Information Technology Co ltd
Priority date: 2021-01-19
Filing date: 2021-01-19
Publication date: 2021-04-27

Abstract

The invention discloses an intelligent clothing selection data analysis system, which relates to the technical field of intelligent clothing selection systems and comprises user login, user information, user records, a data analysis center, dress rationalization matching, product coupons and a purchase window, wherein the specific uses of the components are as follows: and the user logs in through the mobile phone number. And editing the user information through user login. And the user records the user information after purchasing the articles. By the aid of the smart design and combination of user information, user records, the data analysis center and consumption records, the problem that the existing data analysis system can only enable old users to select clothes, cannot recommend products to the customers according to the hobbies of the customers, and possibly causes the passenger flow to drop is solved conveniently, so that the product is recommended according to the hobbies of the old users, the practicability of the system is improved, and the situation that the passenger flow drops is avoided.

Description

Intelligent dress money selection data analysis system

Technical Field

The invention relates to a data analysis system, relates to the technical field of intelligent clothing money selection systems, and particularly relates to an intelligent clothing money selection data analysis system.

Background

Due to the development of electronic commerce, the internet has become an important sales channel for the service industry. With the successive advent of various platforms, customized systems have also evolved. The existing clothes customizing process is complicated in flow, complex in process and high in cost of consumers, the consumers and manufacturers need to use a clothing store as a medium, and the cost is finally superposed on the price, so that the conditions that the customizing price is high and the profits of the manufacturers are not high are caused. Even if some consumers can directly contact the manufacturers, the consumers cannot know the real requirements of the consumers due to lack of a communication service platform and cannot directly customize the clothes, the electronic commerce of the clothes generally refers to the wide commercial trade process around the world, and due to the convenience brought by the internet, the consumers can sell the clothes to different customers in various places through the internet by the same manufacturers through the internet. The method mainly integrates the customer and the merchant together through the action of the e-commerce platform to realize that the merchant and the customer do not directly contact to generate a transaction, and has the defects that the customer can try on clothes in shop shopping and directly feel whether the clothes size is proper or not, the wearing comfort and the wearing effect are directly reflected, but the current e-commerce cannot realize the function of feeling the clothes try-on of the customer, and the clothes produced by various clothes manufacturers have large difference of specific sizes even if the clothes have the same size, and the body shape and the size of the customer are not necessarily standard, so that the clothes do not have the type effect or the wearing proper degree which are wanted by the customer after the customer receives the goods, the result cannot meet the expectation of the customer, and the result of changing or returning goods is generated, namely the goods can be returned, but also increases the cost of freight and time for the merchant and the guest.

Disclosure of Invention

The technical problem to be solved by the invention is to provide an intelligent clothing selection data analysis system, wherein one purpose is to provide user information, user records, a data analysis center and consumption records, and solve the problem that most of the existing data analysis systems only can enable old users to select clothes, cannot recommend products to customers according to the preference of the customers, and possibly causes the drop of passenger flow; the other purpose is to solve the problem that most of the existing data analysis systems cannot record the sizes of the used clothes, so that the users cannot screen the sizes of the clothes after selecting and determining the clothes, and the purpose of collecting and recording the sizes of the users is achieved, so that the users can directly recommend proper sizes when purchasing clothes in the future, and the working efficiency of the system is improved.

The present invention provides a solution to the above-mentioned technical problem.

The scheme for solving the technical problems is as follows: an intelligent dress money selection data analysis system.

The beneficial effects of the invention are as follows: through the design exquisiteness, the combination of user information, user records, a data analysis center and consumption records is adopted, the problem that most of existing data analysis systems can only enable old users to select clothes, the products can not be recommended to the customers according to the hobbies of the customers, and the passenger flow rate possibly drops is solved, so that the product recommendation is carried out according to the hobbies of the old customers, the practicability of the system is improved, and the situation that the passenger flow rate drops is avoided.

By adopting the user login, user information and user database combination setting, the problem that most of the existing data analysis systems cannot record the required clothes sizes, so that the users cannot screen the clothes sizes after selecting and determining the clothes can be solved, the data collection and recording of the body sizes of the users can be realized, the proper sizes can be directly recommended when the users purchase the clothes in the future, and the working efficiency of the system is improved.

On the basis of the technical scheme, the invention can be further improved as follows.

Further, the method comprises user login, user information, user records, a data analysis center, dress rationalization collocation, product coupons and purchase windows, and the specific uses of the components are as follows:

and the user logs in through the mobile phone number.

And editing the user information through user login.

And the user records the user information after purchasing the articles.

And the data analysis center analyzes and counts the consumed data after the consumption of the user.

The dress rationalization collocation can recommend the dress to the user according to the past consumption data of the user.

And the product coupons are overlapped with the coupons through clothing matching.

And the purchase window confirms the order to pay after receiving the coupon.

Furthermore, the user edits the information after logging in, and stores the edited information into the user database, so that the user does not need to edit the information again when purchasing clothes later, and the user can collect and record the body size of the user.

Further, the user record can record consumption information of the customer, the consumption record can analyze data purchased by the user, and product recommendations can be provided to the user through the user purchase data.

Further, the user records are used in combination with the data analysis center, so that the user can obtain product recommendations provided by the system background.

Further, dress rationalization collocation can be to according to the hobby that the user bought in the past, for the user recommendation clothing to can arrange for the clothes is whole.

Further, the dress rationalization collocation and the product coupons when used in combination can provide clothing recommendations for the user while a certain amount of overlays can be made for the coupons for each piece of clothing.

Further, the product coupon in conjunction with the purchase window enables the order to be determined for preferential payment after the coupon is received.

The foregoing description is only an overview of the technical solutions of the present invention, and in order to make the technical solutions of the present invention more clearly understood and to implement them in accordance with the contents of the description, the following detailed description is given with reference to the preferred embodiments of the present invention and the accompanying drawings. The detailed description of the present invention is given in detail by the following examples and the accompanying drawings.

Drawings

The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention.

In the drawings:

FIG. 1 is a schematic view of a flow framework of the present invention;

FIG. 2 is a schematic view of a consumption record flow structure according to the present invention;

fig. 3 is a schematic view of the dressing rationalization collocation flow structure of the present invention.

Detailed Description

The principles and features of the present invention are described below in conjunction with the accompanying fig. 1-3, which are provided by way of example only to illustrate the present invention and not to limit the scope of the present invention. The invention is described in more detail in the following paragraphs by way of example with reference to the accompanying drawings. Advantages and features of the present invention will become apparent from the following description and from the claims. It is to be noted that the drawings are in a very simplified form and are not to precise scale, which is merely for the purpose of facilitating and distinctly claiming the embodiments of the present invention.

It will be understood that when an element is referred to as being "secured to" another element, it can be directly on the other element or intervening elements may also be present. When a component is referred to as being "connected" to another component, it can be directly connected to the other component or intervening components may also be present. When a component is referred to as being "disposed on" another component, it can be directly on the other component or intervening components may also be present. The terms "vertical," "horizontal," "left," "right," and the like as used herein are for illustrative purposes only.

Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.

As shown in FIG. 1, the invention provides an intelligent clothing selection data analysis system.

The embodiments described above include user login, user information, user records, data analysis center, dress rationalization and collocation, product coupons, and purchase windows, and the specific uses of each component are:

and logging in by the user through the mobile phone number.

The user information is edited by user login.

The user records the user information after purchasing the article.

Dress rationalization and collocation can be based on the past consumption data of the user to recommend clothing to the user.

The product coupons are overlapped by matching with clothes.

The purchase window determines the order for payment by receiving the coupon.

The embodiment provides, the user edits the information after logging in, the edited information is stored in the user database, the information does not need to be edited again when the user purchases clothes later, and data collection and recording can be carried out on the size of the user, so that the user can directly recommend a proper size when purchasing clothes later, the working efficiency of the system is improved, the user records can record the consumption information of the customer, the consumption records can analyze the data purchased by the user, and provide product recommendation for the user through the user purchase data, the user records and the data analysis center are combined for use, so that the user can obtain the product recommendation provided by the system background, the product recommendation is carried out according to the preference of the old customer, and the practicability of the system is improved.

According to the embodiment, clothes can be recommended to the user according to the previous purchasing preference of the user through the reasonable wearing matching, the clothes can be integrally matched, when the reasonable wearing matching is used in combination with the product coupon, the clothes can be recommended to the user, meanwhile, a certain amount of coupons of each piece of clothes can be overlapped, and the product coupon and the purchasing window are used together, so that the order can be determined for preferential payment after the coupon is received.

The specific working principle of the invention is as follows: firstly, logging in through a mobile phone number, then, editing information through user logging in, and carrying out data collection and recording on the body size of a user so as to directly recommend a proper size when clothes are purchased in the future, then, analyzing and counting consumption data through a data analysis center, reasonably matching clothes according to previous consumption data of the user to recommend clothes, then, matching clothes according to product coupons to superpose coupons, and finally, determining an order to pay after receiving the coupons through a purchase window.

The foregoing is merely a preferred embodiment of the invention and is not intended to limit the invention in any manner; the present invention may be readily implemented by those of ordinary skill in the art as illustrated in the accompanying drawings and described above; however, those skilled in the art should appreciate that they can readily use the disclosed conception and specific embodiments as a basis for designing or modifying other structures for carrying out the same purposes of the present invention without departing from the scope of the invention as defined by the appended claims; meanwhile, any changes, modifications, and evolutions of the equivalent changes of the above embodiments according to the actual techniques of the present invention are still within the protection scope of the technical solution of the present invention.

Claims

1. An intelligent clothing selection data analysis system comprises user login, user information, user records, a data analysis center, dress rationalization matching, product coupons and a purchase window, and the specific use of each component is as follows:

the user logs in through a mobile phone number;

the user information is edited by user login;

the user records the purchased articles according to the user information;

the data analysis center analyzes and counts the consumed data after the consumption of the user;

the dress rationalization collocation can recommend the dress to the user according to the past consumption data of the user;

the product coupons are overlapped with the coupons through clothing matching;

and the purchase window confirms the order to pay after receiving the coupon.

2. The intelligent apparel selection data analysis system of claim 1, wherein: the user edits the information after logging in, stores the edited information into the user database, is convenient for buying clothes later without re-editing the information, and can collect and record the body size of the user.

3. The intelligent apparel selection data analysis system of claim 1, wherein: the user record can record consumption information of a customer, the consumption record can analyze data purchased by the user, and product recommendations can be provided to the user through the user purchase data.

4. The intelligent apparel selection data analysis system of claim 1, wherein: the user records are used in combination with the data analysis center, so that the user can obtain product recommendations provided by the system background.

5. The intelligent apparel selection data analysis system of claim 1, wherein: dress rationalization collocation can be to according to the hobby that the user bought in the past, for the user recommends the clothing to can arrange for the clothes is whole.

6. The intelligent apparel selection data analysis system of claim 1, wherein: when the dress rationalization collocation is used in combination with the product coupons, the clothing rationalization collocation can provide clothing recommendation for users, and meanwhile, the coupons of each piece of clothing can be quantitatively overlapped.

7. The intelligent apparel selection data analysis system of claim 1, wherein: the product coupon is used together with the purchasing window, so that after the coupon is received, an order can be determined to carry out preferential payment.