Intelligent clothing style design and recommendation system

Abstract

The invention discloses an intelligent clothing style design and recommendation system, and relates to the field of clothing design recommendation, and the system comprises a data acquisition module, a demand acquisition module, a preliminary analysis and design module and a comprehensive management module, and carries out the analysis and screening of inventory management information corresponding to a target clothing processing factory and order information corresponding to a target clothing order. The method comprises the following steps: obtaining each costume design record corresponding to a target costume processing factory, performing preliminary analysis in combination with price information of a raw material market, and analyzing various costumes in the market, so as to improve the costume design efficiency while considering the inventory condition of the target costume processing factory to the greatest extent. According to the method, the market trend, the demand of the target clothing order and the inventory pressure of the target clothing processing factory are considered, the clothing conforming to the target clothing order is designed, the clothing design accuracy is effectively improved, the inventory management cost is reduced, and fund flow of the target clothing factory and sustainable development of the factory are facilitated.

Description

Technical Field

[0001] This application relates to the field of clothing design recommendation, and particularly to an intelligent clothing style design and recommendation system. Background Art

[0002] The introduction of intelligent clothing design systems has brought many beneficial effects to the clothing industry. It not only improves the efficiency of clothing design, but also makes clothing design conform to market trends, promotes environmental protection and sustainable development, and enhances the industry's competitiveness and brand value. These effects jointly promote the transformation, upgrading and sustainable development of the clothing industry:

[0003] In the existing technology, when a target clothing factory designs clothing for a clothing order, it usually ignores the raw material inventory status of its own factory, resulting in the inability to effectively consume the factory's inventory during clothing design, indirectly increasing the inventory pressure of the target clothing factory, raising the inventory management cost, and being unfavorable to the capital flow and sustainable development of the target clothing factory. Summary of the Invention

[0004] The purpose of the present invention is to provide an intelligent clothing style design and recommendation system to solve the problems raised in the above background art.

[0005] To achieve the above purpose, the present invention provides the following technical solution: An intelligent clothing style design and recommendation system, including:

[0006] A data acquisition module: used to statistically obtain the inventory status of a target clothing processing factory to obtain inventory management information corresponding to the target clothing processing factory;

[0007] A demand acquisition module: used to obtain a clothing order corresponding to the target clothing processing factory to obtain order information corresponding to the target clothing order;

[0008] A preliminary analysis and design module: used to perform a preliminary analysis based on the inventory management information corresponding to the target clothing processing factory and the order information corresponding to the target clothing order to obtain a first recommendation coefficient corresponding to each historical clothing design record that meets the requirements and a second recommendation coefficient corresponding to each preliminary comparison clothing;

[0009] A comprehensive management module: used to perform a system analysis based on the first recommendation coefficient corresponding to each historical clothing design record that meets the requirements and the second recommendation coefficient corresponding to each preliminary comparison clothing to obtain a clothing design recommendation result corresponding to the target clothing order.

[0010] In a preferred embodiment of this solution, the specific implementation method of the data acquisition module is as follows:

[0011] Establish a data extraction relationship between the data acquisition module and the database, and extract the inventory management information corresponding to the target clothing processing factory stored in the database. The inventory management information includes the fabric information, basic accessory information, and decorative accessory information corresponding to the target clothing processing factory. The fabric information includes the fabric type, the inventory quantity of each type of fabric, and the purchase unit price of each type of fabric. The basic accessory information includes the basic accessory type, the inventory quantity of each type of basic accessory, and the purchase unit price of each type of basic accessory. The decorative accessory information includes the decorative accessory type, the inventory quantity of each type of decorative accessory, and the purchase unit price of each type of decorative accessory.

[0012] In a preferred solution of this scheme, the specific execution method of the requirement acquisition module is as follows:

[0013] Obtain the clothing order corresponding to the target clothing processing factory to obtain the order information corresponding to the target clothing order. The order information includes the basic information and usage function information corresponding to the clothing to be designed. The basic information includes the quantity of clothing to be designed and the ideal unit price of a single piece of clothing. The function information includes the clothing design part, the clothing wearing season, and the clothing usage scenario.

[0014] In a preferred solution of this scheme, the specific execution method of the preliminary analysis and design module is as follows:

[0015] Establish a data extraction relationship between the preliminary analysis and design module and the database, and extract the historical clothing design records and sales feedback records corresponding to the target clothing processing factory stored in the database. Denote the historical clothing design records and the corresponding sales feedback records corresponding to the target clothing processing factory as the first comparison weight data;

[0016] Screen the historical clothing design records corresponding to the target clothing processing factory according to the usage function information corresponding to the target clothing order to obtain the historical clothing design records that meet the requirements for each time of the target clothing processing factory. Match and obtain the sales feedback records corresponding to the historical clothing design records that meet the requirements for each time. The historical clothing design records that meet the requirements for each time include the processing technology corresponding to the historical clothing design records that meet the requirements for each time and the material selection set corresponding to a single piece of clothing. The material set includes the consumption quantity of each type of fabric corresponding to a single piece of clothing, the consumption quantity of each type of decorative accessory, and the consumption quantity of each type of basic accessory. The sales feedback records corresponding to the historical clothing design records that meet the requirements for each time include the sales unit price, return rate, inventory turnover rate, and quality evaluation coefficient. Denote the sales feedback records corresponding to the historical clothing design records that meet the requirements for each time, including the sales unit price, return rate, inventory turnover rate, and quality evaluation coefficient, as the sales unit price, return rate, inventory turnover rate, and quality evaluation coefficient corresponding to the historical clothing design records that meet the requirements for each time;

[0017] According to the calculation formula Nog i～α =m α -m*m i ′～α , the inventory shortage quantity Nog of various types of fabrics corresponding to each historical clothing design record is calculated i～α ;

[0018] According to the calculation formula Nog i～χ = m χ - m * m i ′ ～χ , the inventory shortage quantity Nog of various types of basic accessories corresponding to each historical clothing design record is calculated i～χ ;

[0019] According to the calculation formula Nog i～ ε = mε - m * m i ′ ～ ε, the inventory shortage quantity Nog of various types of decorative accessories corresponding to each historical clothing design record is calculated i～ ε, where m α , m χ , mε respectively represent the inventory quantity of various types of fabrics, the inventory quantity of various types of basic accessories, and the inventory quantity of various types of decorative accessories, m represents the quantity of clothing to be designed, m i～ α, m i～ χ, m i～ ε respectively represent the consumption quantity of various types of fabrics, the consumption quantity of various types of decorative accessories, and the consumption quantity of various types of basic accessories corresponding to each single piece of clothing corresponding to each historical clothing design record, α represents the number of various types of fabrics, χ represents the number of various types of basic accessories, ε represents the number of various types of decorative accessories, and i represents the number of each historical clothing design record;

[0020] Obtain the price information of the raw material market, where the price information includes the market unit price of various types of fabrics, the market unit price of various types of basic accessories, and the market unit price of various types of decorative accessories in the raw material market. Match and calculate the market unit price of various types of fabrics, the market unit price of various types of basic accessories, and the market unit price of various types of decorative accessories in the raw material market with the material selection set corresponding to each single piece of clothing corresponding to each historical clothing processing to obtain the market material cost unit price of each single piece of clothing corresponding to each historical clothing processing;

[0021] According to the market unit price of various types of fabrics, the market unit price of various types of basic accessories, and the market unit price of various types of decorative accessories in the raw material market and the purchase unit price of various types of fabrics, the purchase unit price of various types of basic accessories, and the purchase unit price of various types of decorative accessories in the inventory of the target clothing processing factory, price calculations are performed to obtain the price differences of various types of fabrics, the price differences of various types of basic accessories, and the price differences of various types of decorative accessories;

[0022] A data calculation model is established based on the inventory shortage quantities and price differences of various basic accessories, the inventory shortage quantities and price differences of various decorative accessories, and the inventory shortage quantities and price differences of various fabrics corresponding to each historical fashion design record, and the total price difference to be purchased corresponding to each historical fashion design record is calculated;

[0023] Obtain the processing unit price of a single piece of clothing corresponding to various processing techniques, and screen the processing unit prices of the processing techniques corresponding to each historical fashion design record according to the processing techniques corresponding to each historical fashion design record;

[0024] According to the calculation formula Calculate the first recommendation coefficient Rci corresponding to each historical fashion design record, where Rri represents the return rate corresponding to each historical fashion design record, tpdi represents the total price difference to be purchased corresponding to each historical fashion design record, ltri represents the inventory turnover rate corresponding to each historical fashion design record, eci represents the quality evaluation coefficient corresponding to each historical fashion design record, p′ represents the ideal unit price corresponding to the clothing to be designed, pi represents the sales unit price corresponding to each historical fashion design record, and gi represents the processing unit price of the processing technique corresponding to each historical fashion design record;

[0025] Obtain the clothing sales data sets of each clothing announced by various online sales platforms, where the clothing sales data sets include the clothing types and clothing sales data of each clothing, and record the clothing sales data sets announced by various online sales platforms as the second comparison weight data;

[0026] The classification of clothing types includes the processing techniques corresponding to the clothing, the clothing design parts, the clothing wearing seasons, the clothing usage scenarios, and the material selection sets, and the clothing sales data includes the sales unit price, the sales volume, the return rate, and the quality evaluation coefficient;

[0027] Preliminarily screen each clothing announced by various online sales platforms according to the function information corresponding to the clothing to be designed to obtain each preliminary comparison clothing corresponding to the clothing to be designed;

[0028] Perform data calculations based on the inventory management information of the target clothing processing factory, the price information of the raw material market, the quantity of the clothing to be designed, and the material selection sets corresponding to each preliminary comparison clothing to obtain the total price difference to be purchased corresponding to each preliminary comparison clothing;

[0029] According to the calculation formula The second recommendation coefficient Rcα corresponding to each preliminary comparison clothing is calculated, where Rrα represents the return rate corresponding to each preliminary comparison clothing, pα represents the selling unit price corresponding to each preliminary comparison clothing, tpdα represents the total price difference of procurement required corresponding to each preliminary comparison clothing, mα represents the sales volume corresponding to each preliminary comparison clothing, and ecα represents the quality evaluation coefficient corresponding to each preliminary comparison clothing.

[0030] In a preferred embodiment of this solution, the specific implementation method of the comprehensive management module is as follows:

[0031] Compare the first recommendation coefficient corresponding to each historical clothing design record that meets the requirements with a preset first recommendation coefficient threshold, screen out each historical clothing design record that meets the requirements and is greater than the first recommendation coefficient threshold and record it as each comparison historical clothing design record, and screen out the combination of the material selection set and processing technology corresponding to each comparison historical clothing design record;

[0032] Compare the second recommendation coefficient corresponding to each preliminary comparison clothing with a preset second recommendation coefficient threshold, screen out each preliminary comparison clothing that is greater than the second recommendation coefficient threshold and record it as each comprehensive comparison clothing, and screen out the combination of the material selection set and processing technology corresponding to each comprehensive comparison clothing;

[0033] Perform data screening on the combination of the material selection set and processing technology corresponding to each comparison historical clothing design record and the combination of the material selection set and processing technology corresponding to each comprehensive comparison clothing to obtain the repetition times corresponding to various combinations of the material selection set and processing technology, calculate the proportion of various combinations of the material selection set and processing technology in the total number of combinations of the material selection set and processing technology, record it as the proportion of various combinations of the material selection set and processing technology, compare the proportion of various combinations of the material selection set and processing technology with a preset proportion threshold, statistically obtain each combination of the material selection set and processing technology that is greater than the proportion threshold and record it as each recommended combination of the material selection set and processing technology, screen out each comprehensive comparison clothing corresponding to each recommended combination of the material selection set and processing technology and each comparison historical clothing design record corresponding to each recommended combination of the material selection set and processing technology; Record each recommended combination of the material selection set and processing technology and each comprehensive comparison clothing corresponding to each recommended combination of the material selection set and processing technology and each comparison historical clothing design record corresponding to each recommended combination of the material selection set and processing technology as the clothing design recommendation result corresponding to the target clothing order.

[0034] Compared with the prior art, the beneficial effects of the present invention are:

[0035] The present invention analyzes and screens the inventory management information corresponding to the target clothing processing factory and the order information corresponding to the target clothing order, obtains each historical clothing design record corresponding to the target clothing processing factory that meets the requirements, and conducts a preliminary analysis in combination with the price information in the raw material market to obtain the first recommendation coefficient corresponding to each historical clothing design record that meets the requirements. At the same time, it analyzes various types of clothing in the market to obtain the second recommendation coefficient corresponding to each preliminary comparison clothing. It comprehensively analyzes the first recommendation coefficient corresponding to each historical clothing design record that meets the requirements and the second recommendation coefficient corresponding to each preliminary comparison clothing. While considering the inventory status of the target clothing processing factory to the greatest extent, it recommends the clothing design recommendation results corresponding to the target clothing order, designs the clothing that meets the target clothing order while taking into account the market trend, the requirements of the target clothing order, and the inventory pressure of the target clothing processing factory, effectively improving the accuracy of clothing design, reducing the inventory management cost, and being beneficial to the capital flow of the target clothing factory and the sustainable development of the factory. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] The present invention will be further described with reference to the accompanying drawings. However, the embodiments in the drawings do not constitute any limitation to the present invention. For those of ordinary skill in the art, other drawings can also be obtained according to the following drawings without creative efforts.

[0037] Figure 1 It is a schematic diagram of module connection for an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0038] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0039] Please refer to Figure 1 , the present invention provides an intelligent clothing style design and recommendation system, which includes a data acquisition module, a requirement acquisition module, a preliminary analysis and design module, and a comprehensive management module;

[0040] The data acquisition module is connected to the preliminary analysis and design module, the requirement acquisition module is connected to the preliminary analysis and design module, and the preliminary analysis and design module is connected to the comprehensive management module.

[0041] To achieve the above object, the present invention also provides the following technical solutions: The intelligent clothing style design and recommendation system includes the following steps:

[0042] The data acquisition module is used to statistically obtain the inventory status of the target clothing processing factory to obtain the inventory management information corresponding to the target clothing processing factory;

[0043] Furthermore, the specific execution method of the data acquisition module is as follows:

[0044] Establish a data extraction relationship between the data acquisition module and the database, and extract the inventory management information corresponding to the target clothing processing factory stored in the database. The inventory management information includes the fabric information, basic accessory information, and decorative accessory information corresponding to the target clothing processing factory. The fabric information includes the fabric type, the inventory quantity of each type of fabric, and the purchase unit price of each type of fabric. The basic accessory information includes the basic accessory type, the inventory quantity of each type of basic accessory, and the purchase unit price of each type of basic accessory. The decorative accessory information includes the decorative accessory type, the inventory quantity of each type of decorative accessory, and the purchase unit price of each type of decorative accessory.

[0045] It should be noted that: the basic components are classified according to the corresponding material, color histogram, shape model, and fitting part of each basic component. The decorative accessories are classified according to the corresponding material, color histogram, shape model, and fitting part of each decorative accessory. The fabrics are classified by the color histogram, material, and thickness of the fabrics.

[0046] The demand acquisition module is used to obtain the clothing orders corresponding to the target clothing processing factory, and obtain the order information corresponding to the target clothing orders;

[0047] Furthermore, the specific execution method of the demand acquisition module is as follows:

[0048] Obtain the clothing orders corresponding to the target clothing processing factory, and obtain the order information corresponding to the target clothing orders. The order information includes the basic information and usage function information corresponding to the clothing to be designed. The basic information includes the quantity of clothing to be designed and the ideal unit price of a single piece of clothing. The function information includes the clothing design part, the clothing wearing season, and the clothing usage scenario.

[0049] The preliminary analysis and design module is used to perform a preliminary analysis based on the inventory management information corresponding to the target clothing processing factory and the order information corresponding to the target clothing orders, and obtain the first recommendation coefficient corresponding to each historical clothing design record that meets the requirements and the second recommendation coefficient corresponding to each preliminary comparison clothing;

[0050] Furthermore, the specific execution method of the preliminary analysis and design module is as follows:

[0051] Establish a data extraction relationship between the preliminary analysis and design module and the database, and extract the historical clothing design records and sales feedback records corresponding to the target clothing processing factory stored in the database. Denote the historical clothing design records and the corresponding sales feedback records corresponding to the target clothing processing factory as the first comparison weight data;

[0052] Screen the historical clothing design records corresponding to the target clothing processing factory according to the usage function information corresponding to the target clothing order, obtain each historical clothing design record corresponding to the target clothing processing factory, match and obtain the sales feedback records corresponding to each historical clothing design record. Each historical clothing design record includes the processing technology corresponding to each historical clothing design record and the material selection set corresponding to a single piece of clothing. The material set includes the consumption of various types of fabrics, the consumption of various types of decorative accessories, and the consumption of various types of basic accessories corresponding to a single piece of clothing. The sales feedback records corresponding to each historical clothing design record include the sales unit price, return rate, inventory turnover rate, and quality evaluation coefficient. Denote the sales feedback records including the sales unit price, return rate, inventory turnover rate, and quality evaluation coefficient corresponding to each historical clothing design record as the sales unit price, return rate, inventory turnover rate, and quality evaluation coefficient corresponding to each historical clothing design record.

[0053] It should be noted that: the quality evaluation coefficient is obtained by calculating the number of good reviews and the number of bad reviews in the sales feedback data, and the quality evaluation coefficient = the number of bad reviews / the number of good reviews.

[0054] According to the calculation formula Nog i～α = m α - m * m i ′ ～α , calculate the inventory shortage quantity Nog of various types of fabrics corresponding to each historical clothing design record i～α ;

[0055] According to the calculation formula Nog i～χ = m χ - m * m i ′ ～χ , calculate the inventory shortage quantity Nog of various types of basic accessories corresponding to each historical clothing design record i～χ ;

[0056] According to the calculation formula Nog i～ ε = mε - m * m i ′ ～ ε, calculate the inventory shortage quantity Nog ε of various types of decorative accessories corresponding to each historical clothing design record i～ ε, where m α , m χ , mε respectively represent the inventory quantity of various types of fabrics, the inventory quantity of various types of basic accessories, and the inventory quantity of various types of decorative accessories, m represents the quantity of clothing to be designed, m i～ α, m i～ χ, m i～ε represents the consumption of various types of fabrics, various types of decorative accessories, and various types of basic accessories corresponding to each single piece of clothing that conforms to historical clothing design records. α represents the numbers of various types of fabrics, χ represents the numbers of various types of basic accessories, ε represents the numbers of various types of decorative accessories, and i represents the numbers of each historical clothing design record that conforms to the records;

[0057] Obtain the price information of the raw material market, where the price information includes the market unit prices of various types of fabrics, various types of basic accessories, and various types of decorative accessories in the raw material market. Match and calculate the market unit prices of various types of fabrics, various types of basic accessories, and various types of decorative accessories in the raw material market with the material selection sets corresponding to each single piece of clothing that conforms to historical clothing processing to obtain the market material cost unit price of each single piece of clothing that conforms to historical clothing processing;

[0058] Perform price calculations based on the market unit prices of various types of fabrics, various types of basic accessories, and various types of decorative accessories in the raw material market and the purchase unit prices of various types of fabrics, various types of basic accessories, and various types of decorative accessories in the inventory of the target clothing processing factory to obtain the price differences of various types of fabrics, various types of basic accessories, and various types of decorative accessories;

[0059] Establish a data calculation model based on the inventory shortage quantities and price differences of various types of basic accessories, the inventory shortage quantities and price differences of various types of decorative accessories, and the inventory shortage quantities and price differences of various types of fabrics corresponding to each historical clothing design record, and calculate the total price difference to be purchased corresponding to each historical clothing design record;

[0060] Obtain the processing unit price of each single piece of clothing corresponding to various processing technologies, and screen the processing unit prices of the processing technologies corresponding to each historical clothing design record according to the processing technologies corresponding to each historical clothing design record;

[0061] According to the calculation formula Calculate the first recommended coefficient Rci corresponding to each historical clothing design record, where Rri represents the return rate corresponding to each historical clothing design record, tpdi represents the total price difference to be purchased corresponding to each historical clothing design record, ltri represents the inventory turnover rate corresponding to each historical clothing design record, eci represents the quality evaluation coefficient corresponding to each historical clothing design record, p′ represents the ideal unit price of the clothing to be designed, pi represents the sales unit price corresponding to each historical clothing design record, and gi represents the processing unit price of the processing technology corresponding to each historical clothing design record;

[0062] Obtain the clothing sales data sets of each clothing announced by various online sales platforms, where the clothing sales data sets include the clothing types and clothing sales data of each clothing, and record the clothing sales data sets announced by various online sales platforms as the second comparison weight data;

[0063] The classification of clothing types includes the processing technology, clothing design parts, clothing wearing seasons, clothing usage scenarios, and material selection sets corresponding to the clothing. The clothing sales data includes sales unit price, sales volume, return rate, and quality evaluation coefficient;

[0064] According to the function information corresponding to the clothing to be designed, conduct a preliminary screening of each clothing announced by various online sales platforms to obtain each preliminary comparison clothing corresponding to the clothing to be designed;

[0065] Based on the inventory management information of the target clothing factory, the price information of the raw material market, the quantity of clothing to be designed, and the material selection sets corresponding to each preliminary comparison clothing, perform data calculations to obtain the total difference in procurement prices corresponding to each preliminary comparison clothing;

[0066] According to the calculation formula Calculate the second recommendation coefficient Rcα corresponding to each preliminary comparison clothing, where Rrα represents the return rate corresponding to each preliminary comparison clothing, pα represents the sales unit price corresponding to each preliminary comparison clothing, tpdα represents the total difference in procurement prices corresponding to each preliminary comparison clothing, mα represents the sales volume corresponding to each preliminary comparison clothing, and ecα represents the quality evaluation coefficient corresponding to each preliminary comparison clothing.

[0067] The comprehensive management module is used to conduct system analysis based on the first recommendation coefficient corresponding to each historical clothing design record that meets the requirements and the second recommendation coefficient corresponding to each preliminary comparison clothing to obtain the clothing design recommendation result corresponding to the target clothing order.

[0068] Furthermore, the specific execution method of the comprehensive management module is as follows:

[0069] Compare the first recommendation coefficient corresponding to each historical clothing design record that meets the requirements with the preset first recommendation coefficient threshold, screen out each historical clothing design record that meets the requirements and is greater than the first recommendation coefficient threshold and record it as each comparison historical clothing design record, and screen out the combination of the material selection set and processing technology corresponding to each comparison historical clothing design record;

[0070] Compare the second recommendation coefficient corresponding to each preliminary comparison clothing with the preset second recommendation coefficient threshold, screen out each preliminary comparison clothing that is greater than the second recommendation coefficient threshold and record it as each comprehensive comparison clothing, and screen out the combination of the material selection set and processing technology corresponding to each comprehensive comparison clothing;

[0071] Data screening is performed on the combination of the material selection set and processing technology corresponding to each historical fashion design record in each comparison and the combination of the material selection set and processing technology corresponding to each comprehensive comparison clothing to obtain the repetition times corresponding to various combinations of the material selection set and processing technology. Calculate the proportion of various combinations of the material selection set and processing technology in the total number of combinations of the material selection set and processing technology, which is denoted as the proportion of various combinations of the material selection set and processing technology. Compare the proportion of various combinations of the material selection set and processing technology with a preset proportion threshold, and statistically obtain each combination of the material selection set and processing technology that is greater than the proportion threshold and denote it as each recommended combination of the material selection set and processing technology. Screen and obtain each comprehensive comparison clothing corresponding to each recommended combination of the material selection set and processing technology and each historical fashion design record corresponding to each historical fashion design record in each comparison; Denote each recommended combination of the material selection set and processing technology, each comprehensive comparison clothing corresponding to each recommended combination of the material selection set and processing technology, and each historical fashion design record corresponding to each historical fashion design record in each comparison as the fashion design recommendation result corresponding to the target clothing order.

[0072] The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited thereby. Therefore, all equivalent changes made according to the structure, shape, and principle of the present application should be covered within the protection scope of the present application.

Claims

1. An intelligent clothing style design and recommendation system, characterized in that: Including: Data acquisition module: used to statistically acquire the inventory status of the target clothing processing factory, and obtain the inventory management information corresponding to the target clothing processing factory; Demand acquisition module: used to acquire the clothing orders corresponding to the target clothing processing factory, and obtain the order information corresponding to the target clothing orders; Preliminary analysis and design module: used to conduct a preliminary analysis based on the inventory management information corresponding to the target clothing processing factory and the order information corresponding to the target clothing orders, and obtain the first recommendation coefficients corresponding to each historical clothing design record and the second recommendation coefficients corresponding to each preliminary comparison clothing; Comprehensive management module: used to conduct a systematic analysis based on the first recommendation coefficients corresponding to each historical clothing design record and the second recommendation coefficients corresponding to each preliminary comparison clothing, and obtain the clothing design recommendation result corresponding to the target clothing order.

2. The intelligent clothing style design and recommendation system according to claim 1, wherein: The specific execution method of the data acquisition module is as follows: Establish a data extraction relationship between the data acquisition module and the database, and extract the inventory management information corresponding to the target clothing processing factory stored in the database. The inventory management information includes the fabric information, basic accessory information, and decorative accessory information corresponding to the target clothing processing factory. The fabric information includes the fabric type, the inventory quantity of each type of fabric, and the purchase unit price of each type of fabric. The basic accessory information includes the basic accessory type, the inventory quantity of each type of basic accessory, and the purchase unit price of each type of basic accessory. The decorative accessory information includes the decorative accessory type, the inventory quantity of each type of decorative accessory, and the purchase unit price of each type of decorative accessory.

3. The intelligent clothing style design and recommendation system according to claim 1, characterized in that: The specific execution method of the demand acquisition module is as follows: Acquire the clothing orders corresponding to the target clothing processing factory, and obtain the order information corresponding to the target clothing orders. The order information includes the basic information and usage function information corresponding to the clothing to be designed. The basic information includes the quantity of clothing to be designed and the ideal unit price of a single piece of clothing. The function information includes the clothing design part, the clothing wearing season, and the clothing usage scenario.

4. The intelligent clothing style design and recommendation system according to claim 3, wherein: The specific execution method of the preliminary analysis and design module is as follows: Establish a data extraction relationship between the preliminary analysis and design module and the database, extract the historical clothing design records and sales feedback records corresponding to the target clothing processing factory stored in the database, and record the historical clothing design records and the corresponding sales feedback records corresponding to the target clothing processing factory as the first comparison weight data; Screen the historical clothing design records corresponding to the target clothing processing factory according to the usage function information corresponding to the target clothing order, and obtain each historical clothing design record corresponding to the target clothing processing factory. Match and obtain the sales feedback records corresponding to each historical clothing design record. Each historical clothing design record includes the processing technology corresponding to each historical clothing design record and the material selection set corresponding to a single piece of clothing. The material set includes the consumption of various types of fabrics, the consumption of various types of decorative accessories, and the consumption of various types of basic accessories corresponding to a single piece of clothing. The sales feedback records corresponding to each historical clothing design record include the sales unit price, return rate, inventory turnover rate, and quality evaluation coefficient. Denote the sales unit price, return rate, inventory turnover rate, and quality evaluation coefficient included in the sales feedback records corresponding to each historical clothing design record as the sales unit price, return rate, inventory turnover rate, and quality evaluation coefficient corresponding to each historical clothing design record; According to the calculation formula Nog i～α = m α - m * m' i～α , the inventory gap quantity Nog of each type of fabric corresponding to the historical fashion design records is calculated i～α ; According to the calculation formula Nog i～χ = m χ - m * m' i～χ , the inventory gap quantity Nog for each type of basic accessory corresponding to the historical fashion design records is calculated i～χ ; According to the calculation formula Nog i～ε = m ε - m * m′ i～ε , the inventory gap quantity Nog of various types of decorative accessories corresponding to each historical clothing design record is calculated i～ε , where m α , m χ , m ε represent the inventory quantities of various types of fabrics, the inventory quantities of various types of basic accessories, and the inventory quantities of various types of decorative accessories respectively, m represents the quantity of clothing to be designed, m i～α , m i～χ , m i～ε represent the consumption quantities of various types of fabrics, various types of decorative accessories, and various types of basic accessories corresponding to each single piece of clothing corresponding to each historical clothing design record respectively, α represents the number of various types of fabrics, χ represents the number of various types of basic accessories, ε represents the number of various types of decorative accessories, and i represents the number of each historical clothing design record; Obtain the price information of the raw material market. The price information includes the market unit price of various types of fabrics, the market unit price of various types of basic accessories, and the market unit price of various types of decorative accessories in the raw material market. Match and calculate the market unit price of the materials corresponding to a single piece of clothing for each historical clothing processing that meets the requirements with the market unit price of various types of fabrics, the market unit price of various types of basic accessories, and the market unit price of various types of decorative accessories in the raw material market to obtain the market material cost unit price of a single piece of clothing for each historical clothing processing that meets the requirements; Perform price calculations on the market unit price of various types of fabrics, the market unit price of various types of basic accessories, and the market unit price of various types of decorative accessories in the raw material market and the purchase unit price of various types of fabrics, the purchase unit price of various types of basic accessories, and the purchase unit price of various types of decorative accessories in the inventory of the target clothing processing factory to obtain the price differences of various types of fabrics, the price differences of various types of basic accessories, and the price differences of various types of decorative accessories; Establish a data calculation model based on the inventory shortage quantity and price difference of various types of basic accessories, the inventory shortage quantity and price difference of various types of decorative accessories, and the inventory shortage quantity and price difference of various types of fabrics corresponding to each historical clothing design record that meets the requirements, and calculate the total purchase price difference corresponding to each historical clothing design record that meets the requirements; Obtain the processing unit price of a single piece of clothing corresponding to various processing technologies, and screen and obtain the processing unit price of the processing technology corresponding to each historical clothing design record that meets the requirements according to the processing technology corresponding to each historical clothing design record that meets the requirements; According to the calculation formula The first recommended coefficient Rc corresponding to each historical fashion design record is calculated i , where Rr i represents the return rate corresponding to each historical fashion design record, tpd i represents the total price difference to be purchased corresponding to each historical fashion design record, ltr i represents the inventory turnover rate corresponding to each historical fashion design record, ec i represents the quality evaluation coefficient corresponding to each historical fashion design record, p′ represents the ideal unit price corresponding to the clothing to be designed, p i represents the selling unit price corresponding to each historical fashion design record, g i represents the processing unit price of the processing technology corresponding to each historical fashion design record; Obtain the clothing sales data set of each clothing announced by various online sales platforms. The clothing sales data set includes the clothing types and clothing sales data of each clothing. Denote the clothing sales data set announced by various online sales platforms as the second comparison weight data; The classification of clothing types includes the processing technology corresponding to the clothing, the clothing design part, the clothing wearing season, the clothing usage scenario, and the material selection set. The clothing sales data includes the sales unit price, sales volume, return rate, and quality evaluation coefficient; Perform a preliminary screening of the clothing announced by various online sales platforms according to the function information corresponding to the clothing to be designed, and obtain each preliminary comparison clothing corresponding to the clothing to be designed; Perform data calculations based on the inventory management information corresponding to the target clothing processing factory, the price information of the raw material market, the quantity of clothing to be designed, and the material selection sets corresponding to each preliminary comparison clothing to obtain the total price difference to be purchased for each preliminary comparison clothing; According to the calculation formula The second recommendation coefficient Rc corresponding to each preliminary comparison clothing is calculated α , where Rr α represents the return rate corresponding to each preliminary comparison clothing, p α represents the selling unit price corresponding to each preliminary comparison clothing, tpd α represents the total price difference of procurement required corresponding to each preliminary comparison clothing, m α represents the sales volume corresponding to each preliminary comparison clothing, ec α represents the quality evaluation coefficient corresponding to each preliminary comparison clothing.

5. The intelligent clothing style design and recommendation system according to claim 4, characterized in that: The specific execution method of the comprehensive management module is as follows: Compare the first recommendation coefficient corresponding to each historical clothing design record that meets the requirements with the preset first recommendation coefficient threshold, screen out each historical clothing design record that meets the requirements and is greater than the first recommendation coefficient threshold and record it as each compared historical clothing design record, and screen out the combination of the material selection set and the processing technology corresponding to each compared historical clothing design record; Compare the second recommendation coefficient corresponding to each preliminary comparison clothing with the preset second recommendation coefficient threshold, screen out each preliminary comparison clothing that is greater than the second recommendation coefficient threshold and record it as each comprehensive comparison clothing, and screen out the combination of the material selection set and the processing technology corresponding to each comprehensive comparison clothing; Perform data screening on the combination of the material selection set and the processing technology corresponding to each compared historical clothing design record and the combination of the material selection set and the processing technology corresponding to each comprehensive comparison clothing to obtain the repetition times corresponding to various material selection sets and processing technology combinations, calculate the proportion of various material selection sets and processing technology combinations in the total number of material selection sets and processing technology combinations, record it as the proportion of various material selection sets and processing technology combinations, compare the proportion of various material selection sets and processing technology combinations with the preset proportion threshold, statistically obtain each material selection set and processing technology combination that is greater than the proportion threshold and record it as each recommended material selection set and processing technology combination, and screen out the clothing corresponding to each comprehensive comparison clothing and each compared historical clothing design record corresponding to each recommended material selection set and processing technology combination; Record the combination of each recommended material selection set and processing technology, the clothing corresponding to each comprehensive comparison clothing corresponding to each recommended material selection set and processing technology combination, and the clothing corresponding to each compared historical clothing design record corresponding to each recommended material selection set and processing technology combination as the clothing design recommendation result corresponding to the target clothing order.

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