Home textile sales data management method, system and storage medium

Abstract

The present invention relates to the technical field of electronic data processing, and specifically discloses a method, system, and storage medium for managing home textile sales data. The method comprises: obtaining a data set of home textile product sales data upload status, performing comprehensive analysis to obtain a home textile product sales data upload characteristic value, analyzing and obtaining a preliminary evaluation grade of home textile product data management in combination with the obtained home textile product inventory remaining quantity update frequency, obtaining a home textile product feedback confidence data set, performing comprehensive analysis based on the obtained home textile product feedback confidence data set to obtain a home textile product feedback confidence characteristic value, re-evaluating the preliminary evaluation grade of home textile product data management, and storing the re-evaluation grade of home textile product data management. The present invention solves the problems of incomplete information, inaccurate and incomplete data, and slow response in traditional home textile sales data management methods, helps to timely understand the operating efficiency and data update status of various sales channels, and optimizes the sales data collection and integration process.

Description

Technical Field

[0001] The present invention relates to the technical field of electronic data processing, and in particular to a home textile sales data management method, system and storage medium. Background Art

[0002] The home textile sales data management method mainly comes from the development and digital transformation of the home textile industry. As consumers' requirements for the quality and design of home products continue to increase, the sales and management of home textile products are also facing greater challenges. By researching and exploring new data management methods and technical applications, we can better manage the data of home textile products and achieve sustainable development.

[0003] For example, the invention patent with publication number CN115203212A discloses a home textile customer data collection system based on big data, which relates to the technical field of home textile big data systems, specifically a home textile customer data collection system based on big data, including a data resource module, data acquisition and switching, and data analysis and discovery. The data resource module is connected to the electrical RS485 interface output of the data preprocessing module through a wire, the data acquisition and switching is connected to the electrical RS485 interface output of the data organization and management through a wire, and the data analysis and discovery is connected to the electrical RS485 interface output of the data application module through a wire. The system increases the operating process while greatly improving the performance of the entire system. The improved system is more comprehensive in data analysis operations and can perform unified classification within the system, making the system more convenient and quick in the internal search process, effectively meeting people's usage needs.

[0004] Nowadays, there are still some deficiencies in the research on home textile sales data management methods. Specifically, traditional home textile sales data management methods mainly rely on manual recording and manual processing, which have problems such as incomplete information, inaccurate data, slow response, and incomplete data. Manual processing can easily introduce erroneous data, resulting in poor data quality, affecting the accuracy of statistical analysis and decision-making, and unable to update and monitor sales data in real time. The credibility of sales data is reduced, and traditional data management methods cannot realize automated analysis and mining of data. Summary of the Invention

[0005] In view of the deficiencies in the prior art, the present invention provides a home textile sales data management method, system and storage medium, which can effectively solve the problems involved in the above-mentioned background technology.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: In a first aspect, the present invention provides a home textile sales data management method, comprising the following steps: obtaining a home textile product sales data upload status data set, and based on the obtained home textile product sales data upload status data set, comprehensively analyzing to obtain home textile product sales data upload feature values, wherein the home textile product sales data upload status data set specifically includes the home textile product physical store sales data upload time, the home textile product online store sales data upload time, the home textile product e-commerce platform sales data upload time, and the home textile product total sales profit upload time; obtaining home textile product sales data upload status data set, and obtaining home textile product sales data upload status data set. The frequency of updating the remaining inventory of home textile products is obtained, and based on the obtained frequency of updating the remaining inventory of home textile products and the characteristic value of uploading the home textile product sales data, a comprehensive analysis is performed to obtain the evaluation value of home textile product data management, and based on the evaluation value of home textile product data management, the initial evaluation level of home textile product data management is obtained through analysis; the home textile product feedback confidence data set is obtained, and based on the obtained home textile product feedback confidence data set, a comprehensive analysis is performed to obtain the home textile product feedback confidence characteristic value; based on the home textile product feedback confidence characteristic value, the initial evaluation level of home textile product data management is re-evaluated, and the re-evaluation level of home textile product data management is stored.

[0007] As a further method, based on the obtained home textile product sales data upload status data set, a comprehensive analysis is performed to obtain the home textile product sales data upload characteristic value. The specific analysis process is: based on the obtained home textile product sales data upload status data set, a comprehensive analysis is performed to obtain the home textile product sales data upload characteristic value, and the home textile product sales data upload characteristic value is used as the analysis basis for obtaining the initial evaluation level of home textile product data management.

[0008] As a further method, the characteristic values ​​of home textile product sales data are uploaded. The specific analysis process is as follows:

[0009] ;

[0010] Where, Upload feature values ​​for home textile product sales data, The time it takes to upload sales data of home textile products in physical stores. The time it takes to upload sales data for home textile products online stores. The time it takes to upload sales data to the home textile e-commerce platform. The upload time for the total sales profit of home textile products, Define the upload time for sales data of home textile stores stored in the database. Define the upload time for sales data of online stores of home textile products stored in the database. Define the upload time for sales data of home textile products stored in the database on the e-commerce platform. Define the upload time for sales profits of home textile products stored in the database. The compensation factor for the set upload time of home textile product physical store sales data. The compensation factor for the upload time of the home textile product online store sales data. The compensation factor for the time it takes to upload sales data to the home textile e-commerce platform. A compensation factor for the upload time of the set total sales profit of home textile products.

[0011] As a further method, based on the obtained home textile product inventory remaining quantity update frequency, combined with the home textile product sales data upload characteristic value, a comprehensive analysis is performed to obtain the home textile product data management evaluation value, and based on the home textile product data management evaluation value, the home textile product data management preliminary evaluation grade is analyzed. The specific analysis process is: obtaining the home textile product inventory remaining quantity update frequency; based on the obtained home textile product inventory remaining quantity update frequency, combined with the home textile product sales data upload characteristic value, a comprehensive analysis is performed to obtain the home textile product data management evaluation value, and the home textile product data management evaluation value is used as the analysis basis for obtaining the home textile product data management preliminary evaluation grade; comparing the home textile product data management evaluation value with the home textile product data stored in the database The evaluation value of home textile product data management is compared with the management definition evaluation value; if the home textile product data management evaluation value is higher than the home textile product data management definition evaluation value, the home textile product data management status corresponding to the home textile product data management evaluation value is excellent, and the home textile product data management is marked as level three; if the home textile product data management evaluation value is equal to the home textile product data management definition evaluation value, the home textile product data management status corresponding to the home textile product data management evaluation value is good, and the home textile product data management is marked as level two; if the home textile product data management evaluation value is lower than the home textile product data management definition evaluation value, the home textile product data management status corresponding to the home textile product data management evaluation value is bad, and the home textile product data management is marked as level one.

[0012] As a further method, the home textile product data management evaluation value, the specific analysis process is as follows:

[0013] ;

[0014] Where, Provides evaluation value for home textile product data management, The frequency of updating the remaining inventory of home textile products. The frequency of updating the remaining quantity of the home textile product inventory stored in the database. The compensation factor for the set home textile product inventory remaining quantity update frequency, Upload feature values ​​for home textile product sales data.

[0015] As a further method, a home textile product feedback confidence dataset specifically includes the number of home textile product user feedback evaluations updated per minute, the highest number of home textile product user feedback comments by the same user, and the number of home textile product user comments whose similarity exceeds the defined similarity stored in the database.

[0016] As a further method, based on the acquired home textile product feedback confidence data set, a comprehensive analysis is performed to obtain the home textile product feedback confidence characteristic value. The specific analysis process is: based on the acquired home textile product feedback confidence data set, a comprehensive analysis is performed to obtain the home textile product feedback confidence characteristic value. The home textile product feedback confidence characteristic value is used as the analysis basis for re-evaluating the initial evaluation level of home textile product data management.

[0017] As a further method, based on the home textile product feedback confidence characteristic value, the home textile product data management initial evaluation level is re-evaluated, and the home textile product data management re-evaluation level is stored. The specific analysis process is: based on the home textile product feedback confidence characteristic value, the home textile product data management initial evaluation level is re-evaluated; the home textile product data management initial evaluation level corresponding to the home textile product feedback confidence characteristic value is obtained; the home textile product feedback confidence characteristic value is compared with the home textile product feedback confidence reference characteristic value stored in the database; if the home textile product feedback confidence characteristic value is higher than or equal to If the confidence characteristic value of the home textile product feedback is equal to the reference characteristic value of the home textile product feedback confidence, the initial evaluation level of the home textile product data management corresponding to the confidence characteristic value of the home textile product feedback is increased by one level to obtain the re-evaluation level of the home textile product data management, and the re-evaluation level of the home textile product data management is stored; if the confidence characteristic value of the home textile product feedback is lower than the reference characteristic value of the home textile product feedback confidence, the initial evaluation level of the home textile product data management corresponding to the confidence characteristic value of the home textile product feedback is reduced by one level to obtain the re-evaluation level of the home textile product data management, and the re-evaluation level of the home textile product data management is stored.

[0018] The second aspect of the present invention provides a home textile sales data management system, including an upload feature value acquisition module, a preliminary evaluation grade analysis module, a feedback confidence feature value acquisition module and a re-evaluation grade acquisition module, wherein: the upload feature value acquisition module is used to obtain a home textile product sales data upload status data set, and based on the obtained home textile product sales data upload status data set, a comprehensive analysis is performed to obtain a home textile product sales data upload feature value, and the home textile product sales data upload status data set specifically includes the home textile product physical store sales data upload time, the home textile product online store sales data upload time, the home textile product e-commerce platform sales data upload time, and the home textile product total sales profit upload time; the preliminary evaluation grade analysis module is used to The method comprises the following steps: obtaining the update frequency of the remaining inventory of home textile products, performing a comprehensive analysis based on the obtained update frequency of the remaining inventory of home textile products and combining the uploaded characteristic value of the home textile product sales data to obtain the home textile product data management evaluation value, and analyzing the home textile product data management evaluation value to obtain the initial evaluation level of the home textile product data management; the feedback confidence characteristic value acquisition module is used to obtain the home textile product feedback confidence data set, and performing a comprehensive analysis based on the obtained home textile product feedback confidence data set to obtain the home textile product feedback confidence characteristic value; and the re-evaluation level acquisition module is used to re-evaluate the initial evaluation level of the home textile product data management based on the home textile product feedback confidence characteristic value, and store the re-evaluation level of the home textile product data management.

[0019] A third aspect of the present invention provides a home textile sales data management storage medium for storing a program, which implements the above-mentioned home textile sales data management method when executed by a processor.

[0020] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects:

[0021] (1) The present invention provides a home textile sales data management method, system and storage medium. By real-time monitoring of the upload duration and update frequency of sales data, the operating efficiency and data update status of each sales channel can be timely understood, which helps to optimize the sales data collection and integration process, and can help enterprises improve sales data management efficiency and enhance trust in sales data, thereby better supporting decision-making and business operations.

[0022] (2) The present invention obtains the update frequency of the remaining inventory of home textile products, combines it with the uploaded characteristic value of the sales data of home textile products, and comprehensively analyzes to obtain the home textile product data management evaluation value. Based on the home textile product data management evaluation value, the initial evaluation level of the home textile product data management is analyzed. Analyzing the update frequency of the remaining inventory can help enterprises understand the inventory situation in real time and avoid the occurrence of excess or insufficient inventory. Combined with the uploaded characteristic value of the sales data, it can more accurately predict demand, optimize inventory management strategies, ensure the timeliness and accuracy of data, and avoid decision-making errors or operational errors caused by outdated data. Accurate and timely data updates help improve customer service quality, meet customer needs, and enhance customer trust and loyalty.

[0023] (3) The present invention re-evaluates the initial evaluation level of home textile product data management through the feedback confidence characteristic value of home textile products, and stores the re-evaluation level of home textile product data management. By re-evaluating the initial evaluation level of home textile product data management through the feedback confidence characteristic value, the actual sales performance and user satisfaction of the product can be evaluated more accurately, which can help decision makers make more reliable decisions in formulating market strategies, managing inventory and purchasing, etc. Storing and managing the credibility rating of sales data is conducive to establishing a sound data management system and process, which can ensure the integrity, consistency and traceability of the data and improve the efficiency and effectiveness of data management. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] The present invention is further described with reference to the accompanying drawings. However, the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative effort.

[0025] Figure 1 Schematic diagram of the method steps of the present invention.

[0026] Figure 2 This is a schematic diagram of system module connections of the present invention.

[0027] Figure 3 For home textile product data management, upload an image showing changes in feature values ​​as home textile product sales data is uploaded. DETAILED DESCRIPTION

[0028] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0029] Reference Figure 1As shown, the first aspect of the present invention provides a home textile sales data management method, including: obtaining a home textile product sales data upload status data set, and based on the obtained home textile product sales data upload status data set, comprehensively analyzing to obtain a home textile product sales data upload characteristic value, the home textile product sales data upload status data set specifically includes the home textile product physical store sales data upload time, the home textile product online store sales data upload time, the home textile product e-commerce platform sales data upload time, and the home textile product total sales profit upload time. The home textile product physical store sales data upload time refers to the length of time it takes to upload the sales data to the company's internal database or data management system after the home textile product is sold in the physical store, which includes the entire time period from the sale to the data being recorded and processed, the home textile product online store The sales data upload time refers to the length of time it takes to upload the sales data of the home textile product to the e-commerce platform or enterprise data system after the home textile product is sold in the online store (such as the official website), which reflects the speed at which online sales data is updated and available in the system. The sales data upload time of the home textile product e-commerce platform refers to the length of time it takes to upload the sales data of the home textile product on various e-commerce platforms (such as JD.com, Tmall, Pinduoduo, etc.) to the platform or enterprise data system, covering the synchronization and data update time of the data interface with the third-party platform. The total sales profit upload time of home textile products refers to the length of time it takes to integrate and upload the sales profit data of all sales channels (including physical stores, online stores and e-commerce platforms) to the enterprise's internal database or data system. It is the process of summarizing and reporting the sales profit data.

[0030] Specifically, based on the acquired home textile product sales data upload status data set, a comprehensive analysis is performed to obtain the home textile product sales data upload characteristic value. The specific analysis process is: based on the acquired home textile product sales data upload status data set, a comprehensive analysis is performed to obtain the home textile product sales data upload characteristic value. The home textile product sales data upload characteristic value is used as the analysis basis for obtaining the initial evaluation level of home textile product data management.

[0031] In a specific embodiment, the time it takes to upload sales data of home textile products in physical stores, the time it takes to upload sales data of home textile products in online stores, and the time it takes to upload sales data of home textile products on e-commerce platforms are interrelated. If the time it takes to upload sales data of home textile products in physical stores increases, it may lead to an increase in the time it takes to upload sales data of online stores and e-commerce platforms.

[0032] In a specific embodiment, the integrity of sales data can be evaluated by comprehensively analyzing the characteristic values ​​of sales data upload. A shorter upload time may indicate higher data timeliness, while a longer upload time may indicate missing or delayed data, which helps to ensure the integrity and accuracy of the data. Comprehensive analysis of the characteristic values ​​of different sales data upload times can evaluate the data quality of different sales channels or methods, help discover potential data quality issues and solve them in a timely manner, and improve the credibility of sales data. The analysis results based on the characteristic values ​​of sales data upload can be used as the basis for the initial evaluation level of home textile product data management. The credibility of sales data directly affects managers' evaluation and classification of products, ensuring that decisions are based on reliable data.

[0033] Specifically, the characteristic values ​​of home textile product sales data are uploaded, and the specific analysis process is as follows:

[0034] ;

[0035] Where, Upload feature values ​​for home textile product sales data, The time it takes to upload sales data of home textile products in physical stores. The time it takes to upload sales data for home textile products online stores. The time it takes to upload sales data to the home textile e-commerce platform. The upload time for the total sales profit of home textile products, Define the upload time for sales data of home textile stores stored in the database. Define the upload time for sales data of online stores of home textile products stored in the database. Define the upload time for sales data of home textile products stored in the database on the e-commerce platform. Define the upload time for sales profits of home textile products stored in the database. The compensation factor for the set upload time of home textile product physical store sales data. The compensation factor for the upload time of the home textile product online store sales data. The compensation factor for the time it takes to upload sales data to the home textile e-commerce platform. A compensation factor for the upload time of the set total sales profit of home textile products.

[0036] It should be explained that the above-mentioned home textile product sales data upload characteristic values ​​are calculated through the upload time of home textile product physical store sales data, the upload time of home textile product online store sales data, the upload time of home textile product e-commerce platform sales data, and the upload time of home textile product total sales profit, which can help evaluate the reliability of sales data. Shorter upload time of sales data and total sales profit of different channels may indicate that the data quality is higher and more trustworthy. By comparing the sales data upload time of different sales channels, the sales efficiency of each channel can be evaluated. Long data upload time may mean that the sales process of a certain channel is more cumbersome, which can help managers optimize related processes. The characteristic values ​​obtained by comprehensive analysis can provide decision support for managers. Comprehensive analysis of sales data upload characteristic values ​​can help companies identify which sales channels perform better and which channels may need further improvement or adjustment, which helps to accurately invest resources and improve sales data management effects. The upload time of physical store sales data can be obtained through the POS system (Point The time it takes to upload the sales data of home textile products in physical stores can be obtained by analyzing these data. The time it takes to upload the sales data of online stores can be obtained through the backend management system or data analysis tools provided by the e-commerce platform. These systems usually record customer orders, product listing time, order processing time and other data, from which the time it takes to upload the sales data of home textile products in online stores can be analyzed. The time it takes to upload the sales data of home textile products on the e-commerce platform can be obtained through the sales data interface or backend management system of the e-commerce platform. The e-commerce platform provides various data reports and analysis tools to help merchants analyze product sales, including sales data upload. Duration, the total sales profit upload time of home textile products is a comprehensive analysis of all sales data, which can be obtained through the company's financial system or sales management system, recording sales, costs, profits and other data as well as upload and reception timestamps. By comprehensively analyzing these data, the total sales profit upload time of home textile products can be obtained. With reference to relevant industry standards, the upload time of home textile product physical store sales data, the upload time of home textile product online store sales data, the upload time of home textile product e-commerce platform sales data, and the upload time of home textile product sales profit stored in the database are obtained. The compensation factors for the upload time of home textile product physical store sales data, the upload time of online store sales data, the upload time of e-commerce platform sales data, and the total sales profit upload time are obtained from the database.Based on historical data, a mapping set is established between the historically measured upload times for home textile product physical store sales data, online store sales data, e-commerce platform sales data, and total sales profit, and the compensation factors for these times. This allows the corresponding compensation factors for the current upload times for home textile product physical store sales data, online store sales data, e-commerce platform sales data, and total sales profit to be obtained.

[0037] Obtain the update frequency of the remaining inventory of home textile products. Based on the obtained update frequency of the remaining inventory of home textile products and combined with the uploaded characteristic value of the home textile product sales data, a comprehensive analysis is performed to obtain the home textile product data management evaluation value. Based on the home textile product data management evaluation value, the initial evaluation level of the home textile product data management is analyzed.

[0038] Specifically, based on the obtained home textile product inventory remaining quantity update frequency, combined with the home textile product sales data upload characteristic value, a comprehensive analysis is performed to obtain the home textile product data management evaluation value. Based on the home textile product data management evaluation value, the home textile product data management preliminary evaluation grade is obtained through analysis. The specific analysis process is as follows: the home textile product inventory remaining quantity update frequency is obtained. The home textile product inventory remaining quantity update frequency refers to the frequency at which the actual remaining quantity information of the home textile product inventory is updated within a certain time range, reflecting the real-time and accuracy of the home textile product inventory information. For example, an update frequency of once a day means that the inventory remaining quantity is updated every day, while an update frequency of once an hour means that the inventory remaining quantity is updated once an hour. Enterprises can use specially designed inventory management software or systems to monitor and update the home textile product inventory remaining quantity in real time, connect to the enterprise's warehousing system and sales system, and realize real-time update and synchronization of inventory data; based on the obtained home textile product inventory remaining quantity update frequency, combined with the home textile product sales data upload characteristic value, a comprehensive analysis is performed to obtain the home textile product data management evaluation value. The home textile product data management evaluation value is used as the analysis basis for obtaining the home textile product data management preliminary evaluation grade; the home textile product data management evaluation value is compared with the home textile product data stored in the database. The commodity data management definition evaluation value is compared; if the home textile commodity data management evaluation value is higher than the home textile commodity data management definition evaluation value, the home textile commodity data management status corresponding to the home textile commodity data management evaluation value is excellent, and the home textile commodity data management is marked as level three; if the home textile commodity data management evaluation value is equal to the home textile commodity data management definition evaluation value, the home textile commodity data management status corresponding to the home textile commodity data management evaluation value is good, and the home textile commodity data management is marked as level two; if the home textile commodity data management evaluation value is lower than the home textile commodity data management definition evaluation value, the home textile commodity data management status corresponding to the home textile commodity data management evaluation value is bad, and the home textile commodity data management is marked as level one.

[0039] In a specific embodiment, by real-time monitoring and updating of the remaining inventory of home textile products, enterprises can accurately grasp the actual inventory situation, avoid inventory shortages or surpluses, and improve inventory management efficiency. By combining the uploaded characteristic values ​​of sales data, the sales situation and trends of home textile products can be better understood, helping enterprises to formulate more accurate sales strategies and inventory replenishment plans. The home textile product data management evaluation values ​​obtained by comprehensive analysis can be used to classify products into different levels, which helps enterprises to manage and optimize home textile product data more targeted and improve the efficiency and quality of data management. Marking home textile product data management into different levels helps to identify the pros and cons of data management status, improve the credibility and accuracy of data, and reduce the risks brought by errors and data inconsistencies. Accurate inventory information and sales data can provide enterprises with more reliable data support and help operators make more informed decisions.

[0040] It needs to be explained that the above-mentioned method obtains the update frequency of the remaining inventory of home textile products, combines it with the characteristic value of uploading the sales data of home textile products, and conducts comprehensive analysis to obtain the evaluation value of home textile product data management. Based on the evaluation value of home textile product data management, the initial evaluation level of home textile product data management is analyzed. Analysis of the update frequency of the remaining inventory can help enterprises understand the inventory situation in real time and avoid the occurrence of excess or insufficient inventory. Combined with the characteristic value of uploading the sales data, it can more accurately predict demand, optimize inventory management strategies, ensure the timeliness and accuracy of data, and avoid decision-making errors or operational errors caused by outdated data. Accurate and timely data updates help improve customer service quality, meet customer needs, and enhance customer trust and loyalty.

[0041] Furthermore, the specific analysis process of the home textile product data management evaluation value is as follows:

[0042] ;

[0043] Where, Provides evaluation value for home textile product data management, The frequency of updating the remaining inventory of home textile products. The frequency of updating the remaining quantity of the home textile product inventory stored in the database. The compensation factor for the set home textile product inventory remaining quantity update frequency, Upload feature values ​​for home textile product sales data.

[0044] It needs to be explained that the above-mentioned home textile product data management evaluation value is calculated through the frequency of updating the remaining inventory of home textile products and the characteristic value of uploading the sales data of home textile products. The evaluation value calculated by combining the frequency of updating the remaining inventory of home textile products and the characteristic value of uploading the sales data can more accurately reflect the actual situation of the product and improve the accuracy and credibility of the sales data. The evaluation value can help enterprises to classify and manage home textile products, and help to clarify the sales status and inventory status of the products, thereby optimizing data management and improving data management efficiency and quality. Based on the home textile product data management evaluation value, enterprises can formulate sales strategies more targetedly, identify products with good sales and products that need to strengthen sales, and improve the credibility of sales data and sales efficiency. Accurate home textile product data management evaluation value helps enterprises to timely Grasp the status of sales data, reduce the risks brought to the enterprise by inaccurate or erroneous sales data, and improve the credibility and stability of data. Credible sales data plays an important role in the decision-making process. Accurate sales data credibility can provide enterprises with more reliable data support, help enterprises make reasonable business decisions, improve the efficiency of enterprise development and the quality of decision-making. With reference to relevant industry standards, obtain the reference remaining quantity of home textile product inventory stored in the database. The compensation factor of the set home textile product inventory remaining quantity update frequency is obtained from the database. According to historical data, a mapping set of the historically measured home textile product inventory remaining quantity update frequency and the compensation factor of the home textile product inventory remaining quantity update frequency is established to obtain the compensation factor of the home textile product inventory remaining quantity update frequency corresponding to the current home textile product inventory remaining quantity update frequency.

[0045] like Figure 3 As shown, this is an image of the change in the home textile product data management evaluation value with the home textile product sales data upload characteristic value, where the x-axis represents the home textile product sales data upload characteristic value and the y-axis represents the home textile product data management evaluation value. This can help intuitively understand how the home textile product sales data upload characteristic value affects the home textile product data management evaluation value. The larger the home textile product sales data upload characteristic value, the larger the home textile product data management evaluation value, indicating that the home textile product data management status is better and the home textile sales data is more reliable. As the home textile product sales data upload characteristic value increases, the influence of the home textile product sales data upload characteristic value on the home textile product data management evaluation value gradually weakens. The home textile product inventory remaining quantity update frequency is set to 9 and remains unchanged. The home textile product inventory reference remaining quantity stored in the database remains unchanged at 10. The compensation factor of the home textile product inventory remaining quantity update frequency is set to 0.2 and remains unchanged. Only the size of the home textile product sales data upload characteristic value is changed. Example values ​​of the home textile product sales data upload characteristic value are as follows:

[0046] Table 1: Example values ​​of home textile product sales data upload feature values ​​in home textile product data management evaluation

[0047]

[0048] It should be noted that the closer the home textile product inventory remaining quantity update frequency is to the home textile product inventory reference remaining quantity stored in the database, the greater the home textile product data management evaluation value is, indicating that the home textile product data management status is better and the home textile sales data is more credible. As the home textile product inventory remaining quantity update frequency approaches the home textile product inventory reference remaining quantity stored in the database, the influence of the home textile product inventory remaining quantity update frequency on the home textile product data management evaluation value gradually increases. The home textile product sales data upload characteristic value is set to 4 and remains unchanged. The home textile product inventory reference remaining quantity stored in the database is set to 10 and remains unchanged. The compensation factor of the home textile product inventory remaining quantity update frequency is set to 0.2 and remains unchanged. Only the size of the home textile product inventory remaining quantity update frequency is changed. Example values ​​of the home textile product inventory remaining quantity update frequency are as follows:

[0049] Table 2: Example values ​​for the frequency of updating the remaining inventory of home textile products in the home textile product data management evaluation value

[0050]

[0051] A home textile product feedback confidence dataset is obtained, and based on the obtained home textile product feedback confidence dataset, a comprehensive analysis is performed to obtain home textile product feedback confidence feature values.

[0052] Specifically, the home textile product feedback confidence data set includes the number of home textile product user feedback evaluations updated per minute, the highest number of home textile product user feedback comments from the same user, and the number of home textile product comments whose user similarity exceeds the defined similarity stored in the database. For example, the defined similarity stored in the database is 90%, that is, the number of home textile product user comments whose user similarity exceeds the defined similarity stored in the database is the number of home textile product user comments with a similarity exceeding 90%. The number of home textile product user feedback evaluations updated per minute indicates the number of home textile product user feedback evaluations received per minute. The highest number of home textile product user feedback comments from the same user indicates the highest value of the number of comments on the same home textile product by the same user. The number of home textile product user comments with a similarity exceeding 90% indicates the number of home textile product comments with a similarity exceeding 90% between users. If there are a large number of comments with high similarity, it may indicate that there are repeated or templated comments, or they may be false comments or machine comments. Enterprises need to be vigilant against the existence of false comments and machine comments to ensure the authenticity and credibility of user feedback.

[0053] It needs to be explained that when the number of user feedback and evaluations of home textile products updated per minute is high, it may lead to an increase in the number of comments on the same product by the same user. Conversely, if the number of user feedback and evaluations updated per minute is low, the number of comments on the same product by the same user will usually be relatively small. When the number of user feedback and evaluations of home textile products updated per minute is high, it may increase the number of situations where the similarity of comment content between users exceeds 90%. If the number of comments of home textile users on the same product is relatively high, it may lead to a higher similarity of comment content, because an increase in the number of comments on the same product by the same user may also lead to a higher similarity of comment content. If the number of comments on the same product by the same user is small, the situation where the similarity of comment content exceeds 90% may be less likely.

[0054] Furthermore, based on the acquired home textile product feedback confidence data set, a comprehensive analysis is performed to obtain the home textile product feedback confidence characteristic value. The specific analysis process is: based on the acquired home textile product feedback confidence data set, a comprehensive analysis is performed to obtain the home textile product feedback confidence characteristic value. The home textile product feedback confidence characteristic value is used as the analysis basis for re-evaluating the initial evaluation level of home textile product data management.

[0055] It should be explained that the above-mentioned home textile product feedback credibility characteristic value reflects the credibility of users' evaluation and feedback on products. As a basis for re-evaluation analysis, it can help companies evaluate product grades more accurately. Re-evaluation analysis based on credibility characteristic value helps to eliminate some untrue or false feedback and improve the credibility and accuracy of sales data. By comprehensively analyzing the credibility characteristic value of home textile product feedback, companies can more accurately understand users' real feedback and evaluation of products, thereby adjusting product positioning and improving marketing strategies, which helps to improve product market performance, enhance the credibility of sales data and improve sales results. By analyzing the credibility characteristic value of home textile product feedback, companies can better understand customers' real feedback and evaluation, adjust product design and service quality in a timely manner, improve customer experience and satisfaction, help enhance customers' trust and loyalty to the company, and improve the credibility of sales data and buyers' reputation. Re-evaluation analysis based on the credibility characteristic value of home textile product feedback can help companies establish a healthier and more sustainable sales model. By more accurately evaluating product grades and customer feedback, companies can more specifically formulate sales strategies and development directions, promote the credibility of sales data and business growth.

[0056] In a specific embodiment, the specific analysis process of the home textile product feedback confidence feature value is as follows:

[0057] ;

[0058] Where, Feedback confidence feature value for home textile products, The number of user feedback and evaluations for home textile products updated every minute. The highest number of user comments for home textile products. The number of comments for home textile products with a user similarity of more than 90%. Define the number of user feedback and evaluations of home textile products stored in the database that are updated every minute. Define the number of user comments on home textile products stored in the database. Define the number of reviews for home textile products stored in the database with a user similarity of more than 90%. The compensation factor for the number of user feedback reviews of home textile products updated per minute. The compensation factor for the highest number of user comments on home textile products. A compensation factor for the number of reviews of home textile products with a user similarity exceeding 90%.

[0059] It should be explained that the above-mentioned home textile product feedback confidence characteristic value is calculated through the number of home textile product user feedback evaluations updated per minute, the highest number of home textile product user feedback comments from the same user, and the number of home textile product comments with user similarity exceeding 90%. Based on the home textile product feedback confidence characteristic value, users' preferences and dissatisfaction with products can be discovered more quickly, and products and services can be improved in a targeted manner. Improved data management credibility can reduce data errors and redundancy, improve data quality and availability, and provide enterprises with more reliable decision-making support. By improving data management credibility, user privacy and data security can be better protected, relevant laws and regulations can be met, and corporate compliance can be enhanced. It can ensure data accuracy and integrity, improve data management reliability, ensure the accuracy of data analysis and decision-making, and provide better support for corporate business development. With reference to relevant industry standards, the number of home textile product user feedback evaluations updated per minute and home textile product usage data stored in the database are obtained. The defined number of user feedback comments on the same user and the defined number of comments on home textile products with user similarity exceeding 90% are obtained from the database. The set compensation factors for the number of home textile product user feedback evaluations updated per minute, the highest number of user feedback comments on the same user, and the number of comments with user similarity exceeding 90% are obtained. Based on historical data, a mapping set of the historically measured number of home textile product user feedback evaluations updated per minute, the highest number of user feedback comments on the same user, and the number of comments with user similarity exceeding 90% is established, and the compensation factors for the number of home textile product user feedback evaluations updated per minute, the highest number of user feedback comments on the same user, and the number of comments with user similarity exceeding 90% are obtained. The current number of home textile product user feedback evaluations updated per minute, the highest number of user feedback comments on the same user, and the number of comments with user similarity exceeding 90% are obtained.

[0060] The defined similarity stored in the database may also be other percentages. When the defined similarity stored in the database is also other percentages, the process of obtaining the home textile product feedback confidence feature value is the same as above.

[0061] Based on the confidence characteristic value of the home textile product feedback, the initial evaluation level of the home textile product data management is re-evaluated, and the re-evaluation level of the home textile product data management is stored.

[0062] Specifically, based on the home textile product feedback confidence characteristic value, the home textile product data management initial evaluation level is re-evaluated, and the home textile product data management re-evaluation level is stored. The specific analysis process is: based on the home textile product feedback confidence characteristic value, the home textile product data management initial evaluation level is re-evaluated; the home textile product data management initial evaluation level corresponding to the home textile product feedback confidence characteristic value is obtained; the home textile product feedback confidence characteristic value is compared with the home textile product feedback confidence reference characteristic value stored in the database; if the home textile product feedback confidence characteristic value is higher than or equal to If the home textile product feedback confidence reference characteristic value is used, the initial evaluation level of the home textile product data management corresponding to the home textile product feedback confidence characteristic value is increased by one level to obtain the re-evaluation level of the home textile product data management, and the re-evaluation level of the home textile product data management is stored; if the home textile product feedback confidence characteristic value is lower than the home textile product feedback confidence reference characteristic value, the initial evaluation level of the home textile product data management corresponding to the home textile product feedback confidence characteristic value is reduced by one level to obtain the re-evaluation level of the home textile product data management, and the re-evaluation level of the home textile product data management is stored.

[0063] In a specific embodiment, by re-evaluating based on the feedback confidence characteristic value, the home textile product sales data can be more accurately evaluated and graded, thereby improving the accuracy of the data. By storing the re-evaluation level of home textile product data management, the consistency and timeliness of data management can be ensured, the errors and confusion in the data management process can be reduced, and the data processing efficiency can be improved. By continuously updating and storing the re-evaluation level of home textile product data management based on the feedback confidence characteristic value, the quality of sales data can be continuously optimized. If the initial evaluation level of home textile product data management is level three, it will be upgraded by one level to the data management re-evaluation level four, and will be reduced by one level to the data management re-evaluation level two. If the initial evaluation level of home textile product data management is level two, it will be upgraded by one level to the data management re-evaluation level three, and will be reduced by one level to the data management re-evaluation level one. If the initial evaluation level of home textile product data management is level one, it will be upgraded by one level to the data management re-evaluation level two, and will be reduced by one level to the data management re-evaluation level zero.

[0064] It needs to be explained that the above-mentioned re-evaluation of the initial evaluation level of home textile product data management through the feedback confidence characteristic value of home textile products, and storage of the re-evaluation level of home textile product data management, the re-evaluation of the initial evaluation level of home textile product data management through the feedback confidence characteristic value can more accurately evaluate the actual sales performance and user satisfaction of the products, and can help decision makers make more reliable decisions in formulating market strategies, managing inventory and procurement, etc. Storing and managing the credibility rating of sales data will help to establish a sound data management system and process, which can ensure the integrity, consistency and traceability of data and improve the efficiency and effectiveness of data management.

[0065] It should be explained that the above-mentioned real-time monitoring of the upload time and update frequency of sales data can timely understand the operating efficiency and data update status of each sales channel, which helps to optimize the sales data collection and integration process, and can help enterprises improve sales data management efficiency and enhance trust in sales data, thereby better supporting decision-making and business operations.

[0066] Reference Figure 2 As shown, the second aspect of the present invention provides a home textile sales data management system, including an upload feature value acquisition module, a preliminary evaluation level analysis module, a feedback confidence feature value acquisition module and a re-evaluation level acquisition module.

[0067] The upload feature value acquisition module is used to obtain the home textile product sales data upload status dataset. Based on the obtained home textile product sales data upload status dataset, a comprehensive analysis is performed to obtain the home textile product sales data upload feature value. The home textile product sales data upload status dataset specifically includes the upload time of home textile product physical store sales data, the upload time of home textile product online store sales data, the upload time of home textile product e-commerce platform sales data, and the upload time of home textile product total sales profit.

[0068] The preliminary evaluation grade analysis module is used to obtain the update frequency of the remaining inventory of home textile products. Based on the obtained update frequency of the remaining inventory of home textile products and combined with the uploaded characteristic value of the home textile product sales data, a comprehensive analysis is performed to obtain the home textile product data management evaluation value. Based on the home textile product data management evaluation value, the preliminary evaluation grade of the home textile product data management is analyzed.

[0069] The feedback confidence feature value acquisition module is used to obtain a home textile product feedback confidence dataset, and obtain the home textile product feedback confidence feature value through comprehensive analysis based on the obtained home textile product feedback confidence dataset.

[0070] The re-evaluation grade acquisition module is used to re-evaluate the initial evaluation grade of the home textile product data management based on the home textile product feedback confidence characteristic value, and store the re-evaluation grade of the home textile product data management.

[0071] A third aspect of the present invention provides a home textile sales data management storage medium for storing a program, which implements the above-mentioned home textile sales data management method when executed by a processor.

[0072] The above content is merely an example and explanation of the structure of the present invention. Those skilled in the art may make various modifications or additions to the described specific embodiments or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the claims, they should all fall within the scope of protection of the present invention.

Claims

1. A home textile sales data management method, characterized in that: The following steps are involved: Obtain a data set of home textile product sales data upload status. Based on the obtained data set, perform a comprehensive analysis to obtain home textile product sales data upload feature values. The data set specifically includes the upload time of home textile product physical store sales data, the upload time of home textile product online store sales data, the upload time of home textile product e-commerce platform sales data, and the upload time of home textile product total sales profit. Obtain the update frequency of the remaining inventory of home textile products. Based on the obtained update frequency of the remaining inventory of home textile products and the uploaded characteristic value of the home textile product sales data, a comprehensive analysis is performed to obtain the home textile product data management evaluation value. Based on the home textile product data management evaluation value, the initial evaluation level of the home textile product data management is analyzed; Obtain a home textile product feedback confidence dataset, and based on the obtained home textile product feedback confidence dataset, perform a comprehensive analysis to obtain home textile product feedback confidence feature values; The home textile product feedback confidence dataset specifically includes the number of home textile product user feedback evaluations updated per minute, the highest number of home textile product user feedback comments by the same user, and the number of home textile product user comments whose similarity exceeds the defined similarity stored in the database; Based on the confidence characteristic value of the home textile product feedback, the initial evaluation level of the home textile product data management is re-evaluated, and the re-evaluation level of the home textile product data management is stored.

2. The home textile sales data management method according to claim 1, characterized in that: Based on the acquired home textile product sales data upload status dataset, a comprehensive analysis is performed to obtain the home textile product sales data upload feature value. The specific analysis process is as follows: Based on the acquired home textile product sales data upload status data set, a comprehensive analysis is performed to obtain the home textile product sales data upload characteristic value, which is used as the analysis basis for obtaining the initial evaluation level of home textile product data management.

3. The home textile sales data management method according to claim 2, characterized in that: The specific analysis process of the uploaded characteristic values ​​of the home textile product sales data is as follows: ； Where, Upload feature values ​​for home textile product sales data, The time it takes to upload sales data of home textile products in physical stores. The time it takes to upload sales data for home textile products online stores. The time it takes to upload sales data to the home textile e-commerce platform. The upload time for the total sales profit of home textile products, Define the upload time for sales data of home textile stores stored in the database. Define the upload time for sales data of online stores of home textile products stored in the database. Define the upload time for sales data of home textile products stored in the database on the e-commerce platform. Define the upload time for sales profits of home textile products stored in the database. The compensation factor for the set upload time of home textile product physical store sales data. The compensation factor for the upload time of the home textile product online store sales data. The compensation factor for the time it takes to upload sales data to the home textile e-commerce platform. A compensation factor for the upload time of the set total sales profit of home textile products.

4. The home textile sales data management method according to claim 1, characterized in that: The obtained home textile product inventory remaining quantity update frequency is combined with the home textile product sales data upload feature value, and a comprehensive analysis is performed to obtain the home textile product data management evaluation value. Based on the home textile product data management evaluation value, the home textile product data management preliminary evaluation level is analyzed. The specific analysis process is as follows: Get the update frequency of remaining inventory of home textile products; Based on the obtained update frequency of the remaining inventory of home textile products and the uploaded characteristic values ​​of the home textile product sales data, a comprehensive analysis is conducted to obtain the home textile product data management evaluation value, which is used as the analysis basis for obtaining the initial evaluation level of the home textile product data management; Comparing the home textile product data management evaluation value with the home textile product data management definition evaluation value stored in the database; If the home textile product data management evaluation value is higher than the home textile product data management definition evaluation value, the home textile product data management status corresponding to the home textile product data management evaluation value is excellent, and the home textile product data management preliminary evaluation level is marked as level three; If the home textile product data management evaluation value is equal to the home textile product data management definition evaluation value, the home textile product data management status corresponding to the home textile product data management evaluation value is good, and the home textile product data management preliminary evaluation level is marked as level 2; If the home textile product data management evaluation value is lower than the home textile product data management definition evaluation value, the home textile product data management status corresponding to the home textile product data management evaluation value is poor, and the home textile product data management preliminary evaluation level is marked as level one.

5. The home textile sales data management method according to claim 4, characterized in that: The specific analysis process of the home textile product data management evaluation value is as follows: ； Where, Provides evaluation value for home textile product data management, The frequency of updating the remaining inventory of home textile products. The frequency of updating the remaining quantity of the home textile product inventory stored in the database. The compensation factor for the set home textile product inventory remaining quantity update frequency, Upload feature values ​​for home textile product sales data.

6. The home textile sales data management method according to claim 1, characterized in that: The home textile product feedback confidence dataset obtained is comprehensively analyzed to obtain the home textile product feedback confidence feature value. The specific analysis process is as follows: Based on the obtained home textile product feedback confidence data set, a comprehensive analysis is conducted to obtain the home textile product feedback confidence characteristic value, which is used as the analysis basis for re-evaluating the initial evaluation level of home textile product data management.

7. The home textile sales data management method according to claim 1, characterized in that: Based on the home textile product feedback confidence characteristic value, the home textile product data management initial evaluation level is re-evaluated, and the home textile product data management re-evaluation level is stored. The specific analysis process is as follows: Based on the confidence characteristic value of home textile product feedback, the initial evaluation level of home textile product data management is re-evaluated; Obtain the home textile product data management initial evaluation level corresponding to the home textile product feedback confidence characteristic value; Comparing the home textile product feedback confidence characteristic value with the home textile product feedback confidence reference characteristic value stored in the database; If the home textile product feedback confidence characteristic value is higher than or equal to the home textile product feedback confidence reference characteristic value, the home textile product data management initial evaluation level corresponding to the home textile product feedback confidence characteristic value is increased by one level, the home textile product data management re-evaluation level is obtained, and the home textile product data management re-evaluation level is stored; If the home textile product feedback confidence characteristic value is lower than the home textile product feedback confidence reference characteristic value, the home textile product data management initial evaluation level corresponding to the home textile product feedback confidence characteristic value is reduced by one level, and the home textile product data management re-evaluation level is obtained, and the home textile product data management re-evaluation level is stored.

8. Home textile sales data management system, characterized by: The home textile sales data management method according to any one of claims 1 to 7 is applied, comprising an upload feature value acquisition module, a preliminary evaluation grade analysis module, a feedback confidence feature value acquisition module, and a re-evaluation grade acquisition module, wherein: The upload characteristic value acquisition module is used to obtain a home textile product sales data upload status data set, and based on the obtained home textile product sales data upload status data set, comprehensively analyze and obtain home textile product sales data upload characteristic values, where the home textile product sales data upload status data set specifically includes the upload time of home textile product physical store sales data, the upload time of home textile product online store sales data, the upload time of home textile product e-commerce platform sales data, and the upload time of home textile product total sales profit; The preliminary evaluation grade analysis module is used to obtain the update frequency of the remaining inventory of home textile products, and based on the obtained update frequency of the remaining inventory of home textile products and the uploaded characteristic value of the home textile product sales data, comprehensively analyze to obtain the home textile product data management evaluation value, and analyze and obtain the preliminary evaluation grade of the home textile product data management based on the home textile product data management evaluation value; The feedback confidence characteristic value acquisition module is used to acquire a home textile product feedback confidence dataset, and obtain the home textile product feedback confidence characteristic value through comprehensive analysis based on the acquired home textile product feedback confidence dataset; The re-evaluation grade acquisition module is used to re-evaluate the initial evaluation grade of the home textile product data management based on the home textile product feedback confidence characteristic value, and store the re-evaluation grade of the home textile product data management.

9. Home textile sales data management storage medium, characterized in that: Used to store a program, which, when executed by a processor, implements the home textile sales data management method as claimed in any one of claims 1 to 7.

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