Design method and system based on data analysis

Abstract

The invention discloses a design method and system based on data analysis, and particularly relates to the technical field of big data analys.The design method comprises the steps that a first recommendation coefficient, a second recommendation coefficient and corresponding weight coefficients are calculated respectively, then a comprehensive recommendation coefficient is calculated, and a cultural and creative product recommendation design type sequence is determined based on the comprehensive recommendation coefficient; inputting the classification conditions of the cultural and creative product audiences, analyzing the preferences of the product audiences for the materials, pattern elements, components and manufacturing processes of each class of cultural and creative products, and determining the recommendation design preference sequence of the cultural and creative products based on the preference analysis result; and sending the recommended design types of the cultural and creative products to a designer according to the recommended design type sequence of the cultural and creative products, and sending a corresponding recommended design preference sequence of the cultural and creative products to assist the designer in designing the cultural and creative products after the designer determines the recommended design types of the cultural and creative products. And the design efficiency can be improved, and the designed cultural and creative products better meet the market requirements.

Description

Technical Field

[0001] The present invention relates to the technical field of big data analysis, and more specifically, to a design method and system based on data analysis. Background Art

[0002] With the growing prosperity of the cultural and entertainment industry, various cultural and creative products have gradually emerged. In the current cultural and creative industry, design methods play a decisive role in the market competitiveness of products.

[0003] The existing cultural and creative product design method is to search for cultural and creative product elements related to the theme through the Internet after determining the theme of the cultural and creative product, and then select relevant cultural and creative elements as design goals based on the designer's preferences to design subsequent cultural and creative products. After the design is completed, it will be fully produced and then put on the market.

[0004] However, the existing cultural and creative product design method has some defects: the existing cultural and creative product design process is based on the designer's preferences, ignores market demand, does not consider consumer preferences, and cannot meet consumers' needs for personalization and cultural characteristics. In addition, the current design method is insufficient in efficiency, the cycle from concept to product is long, and it is unable to respond quickly to market changes. Summary of the invention

[0005] In order to overcome the above-mentioned defects of the prior art, the embodiments of the present invention provide a design method and system based on data analysis to solve the problems raised in the above-mentioned background technology.

[0006] To achieve the above object, the present invention provides the following technical solution: a design method based on data analysis, comprising the following steps:

[0007] S1: After obtaining authorization, collect product design parameters, 3D reconstruction models, real-time sales data of existing cultural and creative products, and cultural and creative product media interaction data of cultural and creative product audiences to build a database;

[0008] S2: After inputting the cultural and creative product classification conditions and the expected historical period, obtain the first data and the second data of each type of cultural and creative product in the expected historical period;

[0009] S3: Calculate the first recommendation coefficient, the second recommendation coefficient and the corresponding weight coefficient respectively, and then calculate the comprehensive recommendation coefficient, determine the order of recommended design types of cultural and creative products based on the comprehensive recommendation coefficient, and mark the corresponding cultural and creative product types with the first recommendation, the second recommendation, ..., and the nath recommendation respectively;

[0010] S4: Input the cultural and creative product audience classification conditions, obtain the product audience type and the number of product audiences corresponding to each type of cultural and creative product, analyze the product audience's preferences for the materials, pattern elements, components and production processes of each type of cultural and creative product, and determine the recommended design preference order of cultural and creative products based on the preference analysis results;

[0011] S5: sending the cultural and creative product types corresponding to the first recommendation, the second recommendation, ..., the nath recommendation to the designer user end applying for the cultural and creative product design in the order of the cultural and creative product recommended design types, and after the designer user end selects the cultural and creative product recommended design type, sending the corresponding cultural and creative product recommended design preference order to assist the designer in cultural and creative product design;

[0012] S6: After the design of cultural and creative products is completed, a number of finished products are produced and the sales price is set, and then the products are promoted to a preset number of audiences to test the market effect;

[0013] S7: Evaluate the actual market effect based on the market effect data during promotion, and compare it with the expected market effect to determine whether the compliance conditions are met. If the compliance conditions are met, feedback instructions are given to determine the production of cultural and creative products. If the compliance conditions are not met, feedback instructions are given to optimize cultural and creative products.

[0014] S8: Collect feedback from the audience of the promoted products and optimize the designed cultural and creative products based on the feedback.

[0015] Preferably, the product design parameters of the cultural and creative products collected in step S1 include material type, pattern element name, component size and production process; the sales data of the cultural and creative products collected in step S1 are the real-time total sales cost and the real-time total sales amount; the cultural and creative product media interaction data of the cultural and creative product audience collected in step S1 are the number of likes, comments, reposts or purchases of each cultural and creative product by the cultural and creative product audience.

[0016] Preferably, the first data of each type of cultural and creative product obtained in step S2 refers to the increase in total sales cost and total sales amount of each type of cultural and creative product in the expected historical period; the second data of each type of cultural and creative product obtained refers to the number of likes, the number of real users who like, the number of comments, the number of real users who comment, the number of reposts, the number of real users who repost, the number of purchases, and the number of real users who purchase for each type of cultural and creative product in the expected historical period.

[0017] Preferably, the specific steps of determining the order of recommended design types of cultural and creative products in step S3 are as follows:

[0018] S31. Calculate the first recommendation coefficient Fai of the i-th cultural and creative product based on the total sales cost increase wxi and the total sales amount increase wyi of the i-th cultural and creative product in the expected historical period. The specific formula is:

[0019]

[0020] S32. Calculate the second recommendation coefficient Fbi of the i-th cultural and creative product based on the newly added likes mai, real likes rai, comments mbi, real comments rbi, forwarding mci, real forwarding rci, purchase mdi, and real purchase rdi of the i-th cultural and creative product in the expected historical period. The specific formula is:

[0021] S33, use max{rai, rbi, rci} to represent the maximum value of the number of real users who like, comment, and forward the i-th cultural and creative product in the expected historical period, use rhi to represent the maximum number of overlapping users between the new real users who purchase the i-th cultural and creative product and the new real users who like, comment, and forward the i-th cultural and creative product in the expected historical period, and calculate the first recommendation coefficient weight coefficient λai and the second recommendation coefficient weight coefficient λbi of the i-th cultural and creative product in the expected historical period respectively. The specific formula is:

[0022] S34. Calculate the comprehensive recommendation coefficient Fzi of the i-th type of cultural and creative products in the expected historical period. The specific formula is: Fzi=Fai×λai+Fbi×λbi;

[0023] S35. Arrange the calculated comprehensive recommendation coefficients corresponding to different types of cultural and creative products from high to low according to the numerical values. The corresponding arrangement order of cultural and creative product types is the order of recommended design types of cultural and creative products, which are marked as the first recommendation, the second recommendation, ..., and the nath recommendation, respectively, where na is the number of cultural and creative product types.

[0024] Preferably, the recommended design preference order of cultural and creative products in step S4 includes the recommended design material preference order of cultural and creative products, the recommended design pattern element preference order of cultural and creative products, the recommended design component preference order of cultural and creative products, and the recommended design production process preference order of cultural and creative products. The specific steps of determining the recommended design preference order of cultural and creative products are as follows:

[0025] S41, input the cultural and creative product audience classification conditions, obtain the number of product audience types nbi corresponding to the i-th cultural and creative product, and record the number of product audiences of the j-th category msij for the i-th cultural and creative product;

[0026] S42. Calculate the proportion coefficient of the audience of the jth category of the ith category of cultural and creative products, expressed as δaij, and then we have:

[0027] S43, record the number of cultural and creative product material types ncij, the number of pattern element types ntij, the number of component types ngij, and the number of production process types nzij preferred by the j-type audience of the i-type cultural and creative products; record the number of audiences who prefer the k-type cultural and creative product material mwijk, the number of audiences who prefer the x-type cultural and creative product pattern elements mtijx, the number of audiences who prefer the y-type cultural and creative product components mgijy, and the number of audiences who prefer the z-type cultural and creative product production process mrijz among the j-type audience of the i-type cultural and creative products;

[0028] S44. Calculate the audience ratio of the j-th category of cultural and creative products, δwijk, the audience ratio of the x-th category of cultural and creative products, δtijx, the audience ratio of the y-th category of cultural and creative products, and δrijz, the audience ratio of the z-th category of cultural and creative products. The specific formula is as follows:

[0029] S45. Calculate the material preference coefficient βwik of the kth cultural and creative product, the pattern element preference coefficient βtix of the xth cultural and creative product, the component preference coefficient βgiy of the yth cultural and creative product, and the production process preference coefficient βriz of the zth cultural and creative product among the ith cultural and creative products. The specific formulas are as follows:

[0030]

[0031]

[0032] S46. Arrange different types of cultural and creative product materials in the i-th category of cultural and creative products according to the calculated cultural and creative product material preference coefficients from high to low to obtain the recommended design material preference order of cultural and creative products; arrange different types of cultural and creative product pattern elements in the i-th category of cultural and creative products according to the calculated cultural and creative product pattern element preference coefficients from high to low to obtain the recommended design pattern element preference order of cultural and creative products; arrange different types of cultural and creative product components in the i-th category of cultural and creative products according to the calculated cultural and creative product component preference coefficients from high to low to obtain the recommended design component preference order of cultural and creative products; arrange different types of cultural and creative product production processes in the i-th category of cultural and creative products according to the calculated cultural and creative product production process preference coefficients from high to low to obtain the recommended design and production process preference order of cultural and creative products.

[0033] Preferably, the relevant data during promotion in step S7 are the number of audiences Nci for each type of product promoted within the expected period, the number Ndi of product audiences with effective media interactive behaviors among each type of product promoted, the number Nei of product audiences who actually purchase cultural and creative products among each type of product promoted, the number Nfi of product audiences with multiple purchase behaviors among each type of product promoted, and the actual sales volume Mx.

[0034] Preferably, the specific determination process in step S7 is as follows:

[0035] S71. Calculate the actual media interaction participation coefficient αci of the audience of the i-th type of product being promoted, the actual conversion rate coefficient αzi of the cultural and creative products, and the actual repurchase rate coefficient αfi of the cultural and creative products. The specific formula is as follows:

[0036]

[0037] S72. Calculate the comprehensive media interaction actual participation coefficient αce, the comprehensive cultural and creative product actual conversion rate coefficient αze, and the comprehensive cultural and creative product actual repurchase rate coefficient αfe. The specific formulas are as follows: Nb is the number of product audience types corresponding to the type of cultural and creative products designed, and δbi is the proportion coefficient of the i-th product audience being promoted;

[0038] S73. Compare the actual participation coefficient of comprehensive media interaction, the actual conversion rate coefficient of comprehensive cultural and creative products, the actual repurchase rate coefficient of comprehensive cultural and creative products, and the actual sales volume with the expected participation coefficient of comprehensive media interaction, the expected conversion rate coefficient of comprehensive cultural and creative products, the expected repurchase rate coefficient of comprehensive cultural and creative products, and the expected sales volume, respectively. If the actual value is greater than or equal to the expected value, it is determined to be in line with expectations; otherwise, it is determined to be not in line with expectations. Record the number of indicators that meet expectations Mf and the number of indicators that do not meet expectations Mp, and calculate the expected indicator pass rate coefficient θt. The specific formula is:

[0039] S74. If the expected passing rate coefficient of the indicator is greater than or equal to the expected value, the feedback instruction determines the production of cultural and creative products; otherwise, the feedback instruction is to optimize the cultural and creative products.

[0040] To achieve the above object, the present invention provides the following technical solution: a design system based on data analysis, implementing the above design method based on data analysis, comprising:

[0041] Database construction module: after obtaining authorization, collect product design parameters, 3D reconstruction models, real-time sales data of existing cultural and creative products, and cultural and creative product media interaction data of cultural and creative product audiences to build a database;

[0042] Cultural and creative product data extraction module: after inputting the cultural and creative product classification conditions and the expected historical period, the first data and the second data of each type of cultural and creative product in the expected historical period are obtained;

[0043] Cultural and creative product recommendation design type analysis module: calculate the first recommendation coefficient and the second recommendation coefficient and the corresponding weight coefficient respectively, then calculate the comprehensive recommendation coefficient, determine the order of cultural and creative product recommendation design types based on the comprehensive recommendation coefficient, and mark the corresponding cultural and creative product types with the first recommendation, the second recommendation, ..., and the nath recommendation respectively;

[0044] Cultural and creative product recommendation design preference analysis module: input the cultural and creative product audience classification conditions, obtain the product audience type and the number of product audiences corresponding to each type of cultural and creative product, analyze the product audience's preferences for each type of cultural and creative product material, pattern elements, components and production process, and determine the cultural and creative product recommendation design preference order based on the preference analysis results;

[0045] Design assistance module: sending the cultural and creative product types corresponding to the first recommendation, the second recommendation, ..., the nath recommendation to the designer user end applying for the cultural and creative product design in the order of the cultural and creative product recommended design types, and after the designer user end selects the cultural and creative product recommended design type, sending the corresponding cultural and creative product recommended design preference order to assist the designer in cultural and creative product design;

[0046] Promotion and testing module: After the design of cultural and creative products is completed, a number of finished products are produced and the sales price is set, and then the market effect is tested for promotion among a preset number of product audiences;

[0047] Market effect test data collection module: used to collect market effect data during promotion;

[0048] Market effect evaluation module: Evaluate the real market effect based on the market effect data during promotion, compare it with the expected market effect to determine whether the compliance conditions are met. If the compliance conditions are met, feedback instructions are given to determine the production of cultural and creative products. If the compliance conditions are not met, feedback instructions are given to optimize cultural and creative products.

[0049] Cultural and creative product optimization module: collect feedback from the audience of the promoted products and optimize the designed cultural and creative products based on the feedback.

[0050] Technical effects and advantages of the present invention:

[0051] The design method provided by the present invention collects product design parameters, three-dimensional reconstruction models, real-time sales data of existing cultural and creative products, and cultural and creative product media interaction data of cultural and creative product audiences to build a database after obtaining authorization, and then inputs cultural and creative product classification conditions and expected historical time periods to obtain first data and second data of each type of cultural and creative product in the expected historical time period, respectively calculates the first recommendation coefficient and the second recommendation coefficient and the corresponding weight coefficient, and then calculates the comprehensive recommendation coefficient, determines the order of recommended design types of cultural and creative products based on the comprehensive recommendation coefficient, inputs cultural and creative product audience classification conditions, obtains the product audience type corresponding to each type of cultural and creative product and the number of product audiences of each type, and respectively analyzes the product audience's opinions on the material, pattern elements, components and manufacturing of each type of cultural and creative product. The preference for production process is determined, and the order of recommended design preferences for cultural and creative products is determined based on the result of preference analysis; the cultural and creative product types are sent to the designer user end who applies for cultural and creative product design in turn according to the order of recommended design types of cultural and creative products; after the designer user end selects the recommended design type of cultural and creative product, the corresponding recommended design preference order of cultural and creative products is sent to assist designers in cultural and creative product design; the market data retrieval range can be freely adjusted, with a high degree of freedom and able to ensure that the recommended cultural and creative product types meet the popular trends in the market; the recommended design preferences for cultural and creative products further conform to consumers' preferences for cultural and creative products and cultural characteristics, and the current design method has been effectively improved in efficiency, with a shorter cycle from concept to product, and can respond to market changes more quickly. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Figure 1 It is a diagram of the method steps of the present invention.

[0053] Figure 2 It is a system structure block diagram of the present invention. DETAILED DESCRIPTION

[0054] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0055] like Figure 1 The present embodiment provides a design method based on data analysis, comprising the following steps:

[0056] S1: After obtaining authorization, collect product design parameters, 3D reconstruction models, real-time sales data of existing cultural and creative products, and cultural and creative product media interaction data of cultural and creative product audiences to build a database;

[0057] Furthermore, the product design parameters of the cultural and creative products collected in step S1 include material type, pattern element name, component size and production process; the sales data of the cultural and creative products collected in step S1 are the real-time total sales cost and the real-time total sales amount; the cultural and creative product media interaction data of the cultural and creative product audience collected in step S1 are the number of likes, comments, reposts or purchases of each cultural and creative product by the cultural and creative product audience.

[0058] What needs to be specifically explained in this embodiment is that the constructed database includes a cultural and creative product information sub-database, a cultural and creative product audience information sub-database and a cultural and creative product design sub-database. The cultural and creative product information sub-database stores a number of cultural and creative product information folders named after the cultural and creative product publication date + the cultural and creative product name. Each cultural and creative product information folder stores the design parameter information, three-dimensional reconstruction model and real-time sales data of the cultural and creative product. The cultural and creative product information sub-database will be updated synchronously with the real-time sales data; the cultural and creative product audience information sub-database stores cultural and creative product audience information folders named after the media platform + account ID + account name. The cultural and creative product audience information folders store the cultural and creative product media interaction data of the cultural and creative product audience. The cultural and creative product audience information sub-database will be updated synchronously with the cultural and creative product media interaction data of the cultural and creative product audience; the cultural and creative product design sub-database stores cultural and creative product design records named after the completion time of the cultural and creative product design.

[0059] What needs to be specifically explained in this embodiment is that after obtaining authorization, the product design parameters, three-dimensional reconstruction models and sales data of cultural and creative products in the sales channel can be directly searched through the search engine of each sales channel. The cultural and creative products with consistent product design parameters and three-dimensional reconstruction models in different sales channels can be marked as the same cultural and creative product for data integration and real-time data update to obtain the real-time sales data of different cultural and creative products, and the product design parameters, three-dimensional reconstruction models and real-time sales data of cultural and creative products can be transmitted to the cultural and creative product information sub-database for storage; after obtaining authorization, the user's historical browsing records in different media platforms can be directly accessed, and users who have liked, commented on, forwarded and purchased any one or more of the cultural and creative products can be marked as cultural and creative product audiences, and the cultural and creative product media interaction data of the cultural and creative audiences can be transmitted to the cultural and creative product audience information sub-database for storage.

[0060] S2: After inputting the cultural and creative product classification conditions and the expected historical period, obtain the first data and the second data of each type of cultural and creative product in the expected historical period;

[0061] Furthermore, the first data of each type of cultural and creative product obtained in step S2 refers to the increase in total sales cost and total sales amount of each type of cultural and creative product in the expected historical period; the second data of each type of cultural and creative product obtained refers to the number of likes, the number of real users who like, the number of comments, the number of real users who comment, the number of reposts, the number of real users who repost, the number of purchases, and the number of real users who purchase for each type of cultural and creative product in the expected historical period.

[0062] In this embodiment, it is specifically necessary to explain that the classification conditions of cultural and creative products are not limited to materials, themes and functions. Cultural and creative products can be divided into paper cultural and creative products, ceramic cultural and creative products, metal cultural and creative products and fabric cultural and creative products according to materials; they can be divided into literary cultural and creative products, film and television cultural and creative products, animation cultural and creative products and historical and cultural cultural and creative products according to themes; they can be divided into decorative cultural and creative products, practical cultural and creative products and commemorative cultural and creative products according to functions. In addition to the above classifications, there are other classification methods. You can choose the classification method based on actual needs, and no specific classification is limited here; entering the expected historical period is to determine the start time and end time of the data retrieved from the database. For example, if the expected historical period entered is one year, the end time of the data retrieved from the database is The end time is the time for determining the expected historical period. The start time of the data retrieved from the database is the same date and time one year ago. At this time, the increase in total sales cost and total sales amount of each cultural and creative product in the most recent year can be directly obtained. After integration, the increase in total sales cost and total sales amount of each type of cultural and creative product in the most recent year can be obtained. Similarly, the number of likes, real users of likes, comments, real users of comments, reposts, real users of reposts, purchases and real users of purchases of each type of cultural and creative product in the most recent year can also be obtained through the same steps. If the input expected historical period is a specific year xa year ya month za day to xb year yb month zb day, the default refers to year xa year ya month za day 0:00 to xb year yb month zb day 0:00.

[0063] S3: Calculate the first recommendation coefficient, the second recommendation coefficient and the corresponding weight coefficient respectively, and then calculate the comprehensive recommendation coefficient, determine the order of recommended design types of cultural and creative products based on the comprehensive recommendation coefficient, and mark the corresponding cultural and creative product types with the first recommendation, the second recommendation, ..., and the nath recommendation respectively;

[0064] Furthermore, the specific steps of determining the order of recommended design types of cultural and creative products in step S3 are as follows:

[0065] S31. Calculate the first recommendation coefficient Fai of the i-th cultural and creative product based on the total sales cost increase wxi and the total sales amount increase wyi of the i-th cultural and creative product in the expected historical period. The specific formula is:

[0066]

[0067] S32. Calculate the second recommendation coefficient Fbi of the i-th cultural and creative product based on the newly added likes mai, real likes rai, comments mbi, real comments rbi, forwarding mci, real forwarding rci, purchase mdi, and real purchase rdi of the i-th cultural and creative product in the expected historical period. The specific formula is:

[0068] S33, use max{rai, rbi, rci} to represent the maximum value of the number of real users who like, comment, and forward the i-th cultural and creative product in the expected historical period, use rhi to represent the maximum number of overlapping users between the new real users who purchase the i-th cultural and creative product and the new real users who like, comment, and forward the i-th cultural and creative product in the expected historical period, and calculate the first recommendation coefficient weight coefficient λai and the second recommendation coefficient weight coefficient λbi of the i-th cultural and creative product in the expected historical period respectively. The specific formula is:

[0069] S34. Calculate the comprehensive recommendation coefficient Fzi of the i-th type of cultural and creative products in the expected historical period. The specific formula is: Fzi=Fai×λai+Fbi×λbi;

[0070] S35. Arrange the calculated comprehensive recommendation coefficients corresponding to different types of cultural and creative products from high to low according to the numerical values. The corresponding arrangement order of cultural and creative product types is the order of recommended design types of cultural and creative products, which are marked as the first recommendation, the second recommendation, ..., and the nath recommendation, respectively, where na is the number of cultural and creative product types.

[0071] S4: Input the cultural and creative product audience classification conditions, obtain the product audience type and the number of product audiences corresponding to each type of cultural and creative product, analyze the product audience's preferences for the materials, pattern elements, components and production processes of each type of cultural and creative product, and determine the recommended design preference order of cultural and creative products based on the preference analysis results;

[0072] Further, the recommended design preference order of cultural and creative products in step S4 includes the recommended design material preference order of cultural and creative products, the recommended design pattern element preference order of cultural and creative products, the recommended design component preference order of cultural and creative products, and the recommended design production process preference order of cultural and creative products. The specific steps of determining the recommended design preference order of cultural and creative products are as follows:

[0073] S41, input the cultural and creative product audience classification conditions, obtain the number of product audience types nbi corresponding to the i-th cultural and creative product, and record the number of product audiences of the j-th category msij for the i-th cultural and creative product;

[0074] S42. Calculate the proportion coefficient of the audience of the jth category of the ith category of cultural and creative products, expressed as δaij, and then we have:

[0075] S43, record the number of cultural and creative product material types ncij, the number of pattern element types ntij, the number of component types ngij, and the number of production process types nzij preferred by the j-type audience of the i-type cultural and creative products; record the number of audiences who prefer the k-type cultural and creative product material mwijk, the number of audiences who prefer the x-type cultural and creative product pattern elements mtijx, the number of audiences who prefer the y-type cultural and creative product components mgijy, and the number of audiences who prefer the z-type cultural and creative product production process mrijz among the j-type audience of the i-type cultural and creative products;

[0076] S44. Calculate the audience ratio of the j-th category of cultural and creative products, δwijk, the audience ratio of the x-th category of cultural and creative products, δtijx, the audience ratio of the y-th category of cultural and creative products, and δrijz, the audience ratio of the z-th category of cultural and creative products. The specific formula is as follows:

[0077] S45. Calculate the material preference coefficient βwik of the kth cultural and creative product, the pattern element preference coefficient βtix of the xth cultural and creative product, the component preference coefficient βgiy of the yth cultural and creative product, and the production process preference coefficient βriz of the zth cultural and creative product among the ith cultural and creative products. The specific formulas are as follows:

[0078]

[0079] S46. Arrange different types of cultural and creative product materials in the i-th category of cultural and creative products according to the calculated cultural and creative product material preference coefficients from high to low to obtain the recommended design material preference order of cultural and creative products; arrange different types of cultural and creative product pattern elements in the i-th category of cultural and creative products according to the calculated cultural and creative product pattern element preference coefficients from high to low to obtain the recommended design pattern element preference order of cultural and creative products; arrange different types of cultural and creative product components in the i-th category of cultural and creative products according to the calculated cultural and creative product component preference coefficients from high to low to obtain the recommended design component preference order of cultural and creative products; arrange different types of cultural and creative product production processes in the i-th category of cultural and creative products according to the calculated cultural and creative product production process preference coefficients from high to low to obtain the recommended design and production process preference order of cultural and creative products.

[0080] What needs to be specifically explained in this embodiment is that the classification conditions of the audience of cultural and creative products include but are not limited to age groups, interests and hobbies, and economic levels. The audience of cultural and creative products can be divided into children's audience, youth audience, adult audience and elderly audience according to age groups; can be divided into cultural and artistic audience, historical and cultural audience, science and technology audience and those who pursue quality of life according to interests and hobbies; can be divided into economic audience, mid-range audience and high-end audience according to economic level. In addition to the above classifications, there are other classification methods, and you can choose the classification method based on actual needs. No specific classification limitation is made here.

[0081] S5: sending the cultural and creative product types corresponding to the first recommendation, the second recommendation, ..., the nath recommendation to the designer user end applying for the cultural and creative product design in the order of the cultural and creative product recommended design types, and after the designer user end selects the cultural and creative product recommended design type, sending the corresponding cultural and creative product recommended design preference order to assist the designer in cultural and creative product design;

[0082] S6: After the design of cultural and creative products is completed, a number of finished products are produced and the sales price is set, and then the products are promoted to a preset number of audiences to test the market effect;

[0083] What needs to be specifically explained in this embodiment is that the proportion of the type of audience for the promoted product should be the same as the proportion of the type of audience for the product when determining the type of cultural and creative product during the preference analysis in step S4. Assuming that the designed cultural and creative product type belongs to Category A, A1, A2, A3, A4, and A5 are used to represent the corresponding product audience types, and the corresponding proportion coefficients are 0.35, 0.25, 0.20, 0.15, and 0.05, respectively. Assuming that the number of audiences for the promoted product is 100 people, the audiences for products belonging to types A1, A2, A3, A4, and A5 should be 35, 25, 20, 15, and 5, respectively.

[0084] S7: Evaluate the actual market effect based on the market effect data during promotion, and compare it with the expected market effect to determine whether the compliance conditions are met. If the compliance conditions are met, feedback instructions are given to determine the production of cultural and creative products. If the compliance conditions are not met, feedback instructions are given to optimize cultural and creative products.

[0085] Furthermore, the promotion-related data in step S7 include the number of audiences for each type of product promoted within the expected period Nci, the number of product audiences for each type of product promoted who have effective media interactive behaviors Ndi, the number of product audiences for each type of product promoted who actually purchase cultural and creative products Nei, the number of product audiences for each type of product promoted who have multiple purchase behaviors Nfi, and the actual sales volume Mx.

[0086] Further, the specific judgment process in step S7 is as follows:

[0087] S71. Calculate the actual media interaction participation coefficient αci of the audience of the i-th type of product being promoted, the actual conversion rate coefficient αzi of the cultural and creative products, and the actual repurchase rate coefficient αfi of the cultural and creative products. The specific formula is as follows:

[0088]

[0089] S72. Calculate the comprehensive media interaction actual participation coefficient αce, the comprehensive cultural and creative product actual conversion rate coefficient αze, and the comprehensive cultural and creative product actual repurchase rate coefficient αfe. The specific formulas are as follows: Nb is the number of product audience types corresponding to the type of cultural and creative products designed, and δbi is the proportion coefficient of the i-th product audience being promoted;

[0090] S73. Compare the actual participation coefficient of comprehensive media interaction, the actual conversion rate coefficient of comprehensive cultural and creative products, the actual repurchase rate coefficient of comprehensive cultural and creative products, and the actual sales volume with the expected participation coefficient of comprehensive media interaction, the expected conversion rate coefficient of comprehensive cultural and creative products, the expected repurchase rate coefficient of comprehensive cultural and creative products, and the expected sales volume, respectively. If the actual value is greater than or equal to the expected value, it is determined to be in line with expectations; otherwise, it is determined to be not in line with expectations. Record the number of indicators that meet expectations Mf and the number of indicators that do not meet expectations Mp, and calculate the expected indicator pass rate coefficient θt. The specific formula is:

[0091] S74. If the expected passing rate coefficient of the indicator is greater than or equal to the expected value, the feedback instruction determines the production of cultural and creative products; otherwise, the feedback instruction is to optimize the cultural and creative products.

[0092] S8: Collect feedback from the audience of the promoted products and optimize the designed cultural and creative products based on the feedback.

[0093] What needs to be specifically explained in this embodiment is that after the optimization of the cultural and creative product is completed, another group of product audiences will be switched to conduct market effect testing and market effect compliance judgment. If the compliance conditions are met, the product optimization will be terminated. If the compliance conditions are still not met, the optimization, testing, and judgment steps will continue in sequence until the cultural and creative product meets the compliance conditions.

[0094] It should be specifically noted in this embodiment that the preset values ​​and expected values ​​used are selected based on actual needs and are not limited to specific values ​​here.

[0095] like Figure 2The embodiment shown provides a design system based on data analysis, including a database construction module, a cultural and creative product data extraction module, a cultural and creative product recommended design type analysis module, a cultural and creative product recommended design preference analysis module, an auxiliary design module, a promotion test module, a market effect test data collection module, a market effect evaluation module, a cultural and creative product optimization module and a database. The database construction module is connected to the cultural and creative product data extraction module and the cultural and creative product recommended design preference analysis module. The cultural and creative product data extraction module, the cultural and creative product recommended design type analysis module, the auxiliary design module, the promotion test module, the market effect test data collection module, the market effect evaluation module and the cultural and creative product optimization module are connected in sequence. The cultural and creative product recommended design preference analysis module is connected to the auxiliary design module. All modules in the system are connected to the database.

[0096] After obtaining authorization, the database construction module collects product design parameters, three-dimensional reconstruction models, real-time sales data of existing cultural and creative products, and cultural and creative product media interaction data of cultural and creative product audiences to build a database;

[0097] The cultural and creative product data extraction module inputs the cultural and creative product classification conditions and the expected historical period to obtain the first data and the second data of each type of cultural and creative product in the expected historical period;

[0098] The cultural and creative product recommendation design type analysis module calculates the first recommendation coefficient and the second recommendation coefficient and the corresponding weight coefficient respectively, and then calculates the comprehensive recommendation coefficient, determines the order of cultural and creative product recommendation design types based on the comprehensive recommendation coefficient, and marks the corresponding cultural and creative product types with the first recommendation, the second recommendation, ..., and the nath recommendation respectively;

[0099] The cultural and creative product recommendation design preference analysis module inputs the cultural and creative product audience classification conditions, obtains the product audience type and the number of product audiences of each type corresponding to each type of cultural and creative product, analyzes the product audience's preferences for the material, pattern elements, components and production process of each type of cultural and creative product, and determines the cultural and creative product recommendation design preference order based on the preference analysis results;

[0100] The auxiliary design module sends the cultural and creative product types corresponding to the first recommendation, the second recommendation, ..., the nath recommendation to the designer user terminal applying for the cultural and creative product design in the order of the recommended design types of the cultural and creative products, and sends the corresponding cultural and creative product recommended design preference order to assist the designer in designing the cultural and creative product after the designer user terminal selects the recommended design type of the cultural and creative product;

[0101] The promotion test module produces a number of finished products after the cultural and creative product design is completed, sets a sales price, and then conducts promotion testing of the market effect among a preset number of product audiences;

[0102] The market effect test data collection module is used to collect market effect data during promotion;

[0103] The market effect evaluation module evaluates the actual market effect based on the market effect data during promotion, and compares it with the expected market effect to determine whether the compliance conditions are met. If the compliance conditions are met, a feedback instruction is given to determine the production of cultural and creative products; if the compliance conditions are not met, a feedback instruction is given to optimize the cultural and creative products;

[0104] The cultural and creative product optimization module collects feedback from the audience of the promoted product and optimizes the designed cultural and creative product based on the feedback;

[0105] The database is used to store data information of all modules in the system.

[0106] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A design method based on data analysis, characterized by: The following steps are involved: S1: After obtaining authorization, collect product design parameters, 3D reconstruction models, real-time sales data of existing cultural and creative products, and cultural and creative product media interaction data of cultural and creative product audiences to build a database; S2: After inputting the cultural and creative product classification conditions and the expected historical period, obtain the first data and the second data of each type of cultural and creative product in the expected historical period; S3: Calculate the first recommendation coefficient, the second recommendation coefficient and the corresponding weight coefficient respectively, and then calculate the comprehensive recommendation coefficient, determine the order of recommended design types of cultural and creative products based on the comprehensive recommendation coefficient, and mark the corresponding cultural and creative product types with the first recommendation, the second recommendation, ..., and the nath recommendation respectively; S4: Input the cultural and creative product audience classification conditions, obtain the product audience type and the number of product audiences corresponding to each type of cultural and creative product, analyze the product audience's preferences for the materials, pattern elements, components and production processes of each type of cultural and creative product, and determine the recommended design preference order of cultural and creative products based on the preference analysis results; S5: sending the cultural and creative product types corresponding to the first recommendation, the second recommendation, ..., the nath recommendation to the designer user end applying for the cultural and creative product design in the order of the cultural and creative product recommended design types, and after the designer user end selects the cultural and creative product recommended design type, sending the corresponding cultural and creative product recommended design preference order to assist the designer in cultural and creative product design; S6: After the design of cultural and creative products is completed, a number of finished products are produced and the sales price is set, and then the products are promoted to a preset number of audiences to test the market effect; S7: Evaluate the actual market effect based on the market effect data during promotion, and compare it with the expected market effect to determine whether the compliance conditions are met. If the compliance conditions are met, feedback instructions are given to determine the production of cultural and creative products. If the compliance conditions are not met, feedback instructions are given to optimize cultural and creative products. S8: Collect feedback from the audience of the promoted products and optimize the designed cultural and creative products based on the feedback.

2. The design method based on data analysis according to claim 1, characterized in that: The product design parameters of the cultural and creative products collected in step S1 include material type, pattern element name, component size and production process; the sales data of the cultural and creative products collected in step S1 are the real-time total sales cost and the real-time total sales amount; the cultural and creative product media interaction data of the cultural and creative product audience collected in step S1 are the number of likes, comments, reposts or purchases of each cultural and creative product by the cultural and creative product audience.

3. The design method based on data analysis according to claim 1, characterized in that: The first data of each type of cultural and creative product obtained in step S2 refers to the increase in total sales cost and total sales amount of each type of cultural and creative product in the expected historical period; the second data of each type of cultural and creative product obtained refers to the number of likes, the number of real users who like, the number of comments, the number of real users who comment, the number of reposts, the number of real users who repost, the number of purchases, and the number of real users who purchase for each type of cultural and creative product in the expected historical period.

4. The design method based on data analysis according to claim 1, characterized in that: The specific steps of determining the order of recommended design types for cultural and creative products in step S3 are as follows: S31. Calculate the first recommendation coefficient Fai of the i-th cultural and creative product based on the total sales cost increase wxi and the total sales amount increase wyi of the i-th cultural and creative product in the expected historical period. The specific formula is: S32. Calculate the second recommendation coefficient Fbi of the i-th cultural and creative product based on the newly added likes mai, real likes rai, comments mbi, real comments rbi, forwarding mci, real forwarding rci, purchase mdi, and real purchase rdi of the i-th cultural and creative product in the expected historical period. The specific formula is: S33, use max{rai, rbi, rci} to represent the maximum value of the number of real users who like, comment, and forward the i-th cultural and creative product in the expected historical period, use rhi to represent the maximum number of overlapping users between the new real users who purchase the i-th cultural and creative product and the new real users who like, comment, and forward the i-th cultural and creative product in the expected historical period, and calculate the first recommendation coefficient weight coefficient λai and the second recommendation coefficient weight coefficient λbi of the i-th cultural and creative product in the expected historical period respectively. The specific formula is: S34. Calculate the comprehensive recommendation coefficient Fzi of the i-th type of cultural and creative products in the expected historical period. The specific formula is: Fzi=Fai×λai+Fbi×λbi; S35. Arrange the calculated comprehensive recommendation coefficients corresponding to different types of cultural and creative products from high to low according to the numerical values. The corresponding arrangement order of cultural and creative product types is the order of recommended design types of cultural and creative products, which are marked as the first recommendation, the second recommendation, ..., and the nath recommendation, respectively, where na is the number of cultural and creative product types.

5. The design method based on data analysis according to claim 1, characterized in that: The recommended design preference order of cultural and creative products in step S4 includes the recommended design material preference order of cultural and creative products, the recommended design pattern element preference order of cultural and creative products, the recommended design component preference order of cultural and creative products, and the recommended design production process preference order of cultural and creative products. The specific steps for determining the recommended design preference order of cultural and creative products are as follows: S41, input the cultural and creative product audience classification conditions, obtain the number of product audience types nbi corresponding to the i-th cultural and creative product, and record the number of product audiences of the j-th category msij for the i-th cultural and creative product; S42. Calculate the proportion coefficient of the audience of the jth category of the ith category of cultural and creative products, expressed as δaij, and then we have: S43, record the number of cultural and creative product material types ncij, the number of pattern element types ntij, the number of component types ngij, and the number of production process types nzij preferred by the j-type audience of the i-type cultural and creative products; record the number of audiences who prefer the k-type cultural and creative product material mwijk, the number of audiences who prefer the x-type cultural and creative product pattern elements mtijx, the number of audiences who prefer the y-type cultural and creative product components mgijy, and the number of audiences who prefer the z-type cultural and creative product production process mrijz among the j-type audience of the i-type cultural and creative products; S44. Calculate the audience ratio δwijk of the j-th category of cultural and creative products, the audience ratio δtijx of the x-th category of cultural and creative products, the audience ratio δgijy of the y-th category of cultural and creative products, and the audience ratio δrijz of the z-th category of cultural and creative products. The specific formula is as follows: S45. Calculate the material preference coefficient βwik of the kth cultural and creative product, the pattern element preference coefficient βtix of the xth cultural and creative product, the component preference coefficient βgiy of the yth cultural and creative product, and the production process preference coefficient βriz of the zth cultural and creative product among the ith cultural and creative products. The specific formulas are as follows: S46. Arrange different types of cultural and creative product materials in the i-th category of cultural and creative products according to the calculated cultural and creative product material preference coefficients from high to low to obtain the recommended design material preference order of cultural and creative products; arrange different types of cultural and creative product pattern elements in the i-th category of cultural and creative products according to the calculated cultural and creative product pattern element preference coefficients from high to low to obtain the recommended design pattern element preference order of cultural and creative products; arrange different types of cultural and creative product components in the i-th category of cultural and creative products according to the calculated cultural and creative product component preference coefficients from high to low to obtain the recommended design component preference order of cultural and creative products; arrange different types of cultural and creative product production processes in the i-th category of cultural and creative products according to the calculated cultural and creative product production process preference coefficients from high to low to obtain the recommended design and production process preference order of cultural and creative products.

6. The design method based on data analysis according to claim 1, characterized in that: The relevant data during the promotion in step S7 are the number of audiences Nci for each type of product promoted within the expected period, the number Ndi of product audiences for each type of product promoted who have effective media interactive behaviors, the number Nei of product audiences for each type of product promoted who actually purchase cultural and creative products, the number Nfi of product audiences for each type of product promoted who have multiple purchase behaviors, and the actual sales volume Mx.

7. The design method based on data analysis according to claim 6, characterized in that: The specific judgment process in step S7 is as follows: S71. Calculate the actual media interaction participation coefficient αci of the audience of the i-th type of product being promoted, the actual conversion rate coefficient αzi of the cultural and creative products, and the actual repurchase rate coefficient αfi of the cultural and creative products. The specific formula is as follows: S72. Calculate the comprehensive media interaction actual participation coefficient αce, the comprehensive cultural and creative product actual conversion rate coefficient αze, and the comprehensive cultural and creative product actual repurchase rate coefficient αfe. The specific formulas are as follows: Nb is the number of product audience types corresponding to the type of cultural and creative products designed, and δbi is the proportion coefficient of the i-th product audience being promoted; S73. Compare the actual participation coefficient of comprehensive media interaction, the actual conversion rate coefficient of comprehensive cultural and creative products, the actual repurchase rate coefficient of comprehensive cultural and creative products, and the actual sales volume with the expected participation coefficient of comprehensive media interaction, the expected conversion rate coefficient of comprehensive cultural and creative products, the expected repurchase rate coefficient of comprehensive cultural and creative products, and the expected sales volume, respectively. If the actual value is greater than or equal to the expected value, it is determined to be in line with expectations; otherwise, it is determined to be not in line with expectations. Record the number of indicators that meet expectations Mf and the number of indicators that do not meet expectations Mp, and calculate the expected indicator pass rate coefficient θt. The specific formula is: S74. If the expected passing rate coefficient of the indicator is greater than or equal to the expected value, the feedback instruction determines the production of cultural and creative products; otherwise, the feedback instruction is to optimize the cultural and creative products.

8. A design system based on data analysis, implementing the design method based on data analysis according to any one of claims 1 to 7, characterized in that: include: Database construction module: after obtaining authorization, collect product design parameters, 3D reconstruction models, real-time sales data of existing cultural and creative products, and cultural and creative product media interaction data of cultural and creative product audiences to build a database; Cultural and creative product data extraction module: after inputting the cultural and creative product classification conditions and the expected historical period, the first data and the second data of each type of cultural and creative product in the expected historical period are obtained; Cultural and creative product recommendation design type analysis module: calculate the first recommendation coefficient and the second recommendation coefficient and the corresponding weight coefficient respectively, then calculate the comprehensive recommendation coefficient, determine the order of cultural and creative product recommendation design types based on the comprehensive recommendation coefficient, and mark the corresponding cultural and creative product types with the first recommendation, the second recommendation, ..., and the nath recommendation respectively; Cultural and creative product recommendation design preference analysis module: input the cultural and creative product audience classification conditions, obtain the product audience type and the number of product audiences corresponding to each type of cultural and creative product, analyze the product audience's preferences for each type of cultural and creative product material, pattern elements, components and production process, and determine the cultural and creative product recommendation design preference order based on the preference analysis results; Design assistance module: sending the cultural and creative product types corresponding to the first recommendation, the second recommendation, ..., the nath recommendation to the designer user end applying for the cultural and creative product design in the order of the cultural and creative product recommended design types, and after the designer user end selects the cultural and creative product recommended design type, sending the corresponding cultural and creative product recommended design preference order to assist the designer in cultural and creative product design; Promotion and testing module: After the design of cultural and creative products is completed, a number of finished products are produced and the sales price is set, and then the market effect is tested for promotion among a preset number of product audiences; Market effect test data collection module: used to collect market effect data during promotion; Market effect evaluation module: Evaluate the real market effect based on the market effect data during promotion, compare it with the expected market effect to determine whether the compliance conditions are met. If the compliance conditions are met, feedback instructions are given to determine the production of cultural and creative products. If the compliance conditions are not met, feedback instructions are given to optimize cultural and creative products. Cultural and creative product optimization module: collect feedback from the audience of the promoted products and optimize the designed cultural and creative products based on the feedback.

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