Foreign trade information processing method and system

Abstract

The invention discloses a foreign trade information processing method and system, and relates to the technical field of foreign trade. The method comprises the following steps: S1, collecting foreign trade information from various foreign trade platforms, industry websites, customs databases and other channels by using a web crawler technology; s2, acquiring internal information such as order data, customer feedback and inventory conditions of an enterprise through docking with an internal system of a foreign trade enterprise; and S3, cleaning the collected information, and removing repeated, wrong and irrelevant data. According to the method, the web crawler technology is utilized, foreign trade information can be automatically collected from multiple channels, multiple aspects of suppliers, products, markets, policies and the like are covered, the crawler units have the ability of self-adaption to website structure changes, the continuity and accuracy of information collection are ensured, the efficiency and quality of information collection are greatly improved, and the method is suitable for popularization and application. Foreign trade enterprises can quickly obtain comprehensive and accurate market information.

Description

Technical Field

[0001] The present invention relates to the technical field of foreign trade, and particularly relates to a foreign trade information processing method and system. Background Art

[0002] Under the background of global economic integration, the foreign trade industry has developed vigorously, and foreign trade enterprises are facing unprecedented opportunities and challenges. With the continuous expansion of the trade scale and the increasing complexity of the market environment, the amount of information that foreign trade enterprises need to process has increased geometrically. This information covers many aspects such as supplier information, product information, market demand, price trends, trade policies, etc., and is crucial for various links of the enterprise's procurement decision-making, market expansion, order management, etc.

[0003] However, there are many problems and limitations in the current foreign trade information processing, which seriously restrict the operation efficiency and development potential of foreign trade enterprises. First, the information sources are scattered. Foreign trade enterprises need to obtain information from various different channels, including various foreign trade platforms, industry websites, customs databases, etc. The information formats of these channels are not unified, and the data quality is uneven, and enterprises need to spend a lot of time and energy on screening and integration. Second, the data is not updated in a timely manner. The market dynamics change rapidly, and the data of many information sources lags behind, resulting in enterprises being unable to grasp the latest market conditions in a timely manner and easily missing business opportunities. In addition, the lack of information analysis ability is also a prominent problem. Enterprises often lack effective data analysis tools and methods and are unable to extract valuable knowledge from the vast amount of information to provide strong support for decision-making.

[0004] Therefore, the existing foreign trade information processing methods have been difficult to meet the needs of the rapid development of foreign trade enterprises. There is an urgent need for an efficient, intelligent, and integrated foreign trade information processing method and system that can automatically collect, organize, and analyze various foreign trade information, provide accurate and timely decision-making support for foreign trade enterprises, help enterprises stand out in the fierce international market competition, and achieve sustainable development.

[0005] For this reason, a foreign trade information processing method and system are proposed. Summary of the Invention

[0006] The purpose of the present invention is to provide a foreign trade information processing method and system to solve the problems raised in the above background art.

[0007] The present invention specifically adopts the following technical solutions to achieve the above purpose:

[0008] A foreign trade information processing method includes the following steps:

[0009] Step S1: Using web crawler technology, collect foreign trade information from multiple channels such as major foreign trade platforms, industry websites, and customs databases;

[0010] Step S2: Obtain internal information such as the enterprise's own order data, customer feedback, inventory status, etc. by docking with the internal system of the foreign trade enterprise;

[0011] Step S3: Clean the collected information to remove duplicate, incorrect, and irrelevant data;

[0012] Step S4: Standardize the information from different sources and in different formats to unify the data format;

[0013] Step S5: According to the preset classification rules, classify the information into different categories such as supplier category, product category, market category, policy category, etc.;

[0014] Step S6: Store the classified information in a distributed database;

[0015] Step S7: Use data analysis algorithms to evaluate the supplier information, screen out high-quality suppliers, and analyze the relationship between market demand and product price to predict price trends;

[0016] Step S8: Combine with a machine learning model to predict the needs of potential customers based on historical order data and market dynamics;

[0017] Step S9: According to the business needs and concerns of the foreign trade enterprise, push the analysis results to relevant enterprise personnel in the form of visual charts, reports, etc. through the system interface or email, etc.;

[0018] Step S10: Provide a personalized information subscription function, where users can subscribe to specific types of information according to their own needs, and the system will update and push the latest content in real time.

[0019] Furthermore, in the information collection of Step S1, the web crawler technology can adapt to the structural changes of different websites to ensure the continuity and accuracy of information collection. The information collected includes but is not limited to supplier information, product information, market demand, price trends, trade policies, etc.

[0020] Furthermore, in the information preprocessing of Step S3, data cleaning also includes detecting and correcting outliers in the information to improve data quality.

[0021] Furthermore, in the information analysis and mining of Step S7, the data analysis algorithms and machine learning models can automatically adjust the analysis parameters and model structure according to the business development dynamics of the enterprise and the changes in the market environment to provide more accurate analysis results.

[0022] Furthermore, the data analysis algorithms can adopt clustering analysis, association rule mining, etc.

[0023] A foreign trade information processing system, comprising:

[0024] An information collection module, which uses web crawler technology to collect foreign trade information from multiple channels and interfaces with the internal system of foreign trade enterprises to obtain internal information;

[0025] An information preprocessing module, which cleans and standardizes the collected information;

[0026] An information storage module, which stores the classified information in a distributed database;

[0027] An information analysis module, which uses data analysis algorithms and machine learning models to analyze and mine information;

[0028] An information push and display module, which pushes the analysis results to relevant enterprise personnel in a visual form and provides a personalized information subscription function.

[0029] Further, the web crawler unit in the information collection module has the ability to adapt to changes in website structure, ensuring the stability and reliability of information collection.

[0030] Further, the data cleaning unit in the information preprocessing module can detect and correct outliers in the information, improving the accuracy of the data.

[0031] Further, the data analysis algorithms and machine learning models in the information analysis module can be automatically optimized according to enterprise business and market dynamics to adapt to the changing foreign trade environment and provide more valuable analysis insights.

[0032] The beneficial effects of the present invention are as follows:

[0033] The present invention uses web crawler technology to automatically collect foreign trade information from multiple channels, covering multiple aspects such as suppliers, products, markets, policies, etc. Moreover, the crawler unit has the ability to adapt to changes in website structure, ensuring the continuity and accuracy of information collection, greatly improving the efficiency and quality of information collection, enabling foreign trade enterprises to quickly obtain comprehensive and accurate market information;

[0034] Through the information preprocessing module, the collected information is cleaned and standardized, removing duplicate, incorrect, and irrelevant data, detecting and correcting outliers, and unifying the data format, improving the accuracy and consistency of the data, providing a solid foundation for subsequent information analysis, and enabling enterprises to make accurate decisions based on high-quality data;

[0035] Through the information analysis module using advanced data analysis algorithms and machine learning models, it is possible to evaluate supplier information, screen high-quality suppliers, analyze the relationship between market demand and product prices, predict price trends and potential customer demands;

[0036] The analysis results are pushed to relevant enterprise personnel in the form of visual charts, reports, etc. through the information push and display module, either through the system interface or by email, etc., and a personalized information subscription function is provided.

[0037] The present invention integrates internal and external information of foreign trade enterprises, breaks the information silos, and realizes information sharing and collaborative work. Brief Description of the Drawings

[0038] Figure 1 is a flowchart of the foreign trade information processing method of the present invention;

[0039] Figure 2 is a schematic diagram of the modules of the foreign trade information processing system of the present invention. Detailed Embodiments

[0040] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. Generally, the components of the embodiments of the present invention described and illustrated in the accompanying drawings here can be arranged and designed in various different configurations.

[0041] Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the claimed present invention, but merely represents selected embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the scope of protection of the present invention.

[0042] It should be noted that: similar reference numerals and letters denote similar items in the following drawings. Therefore, once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings. In addition, the terms "first", "second", etc. are only used for descriptive distinction and cannot be construed as indicating or implying relative importance.

[0043] In the description of the embodiments of the present invention, it should be noted that the orientation or positional relationship indicated by the terms "inside", "outside", "above", etc. is based on the orientation or positional relationship shown in the accompanying drawings, or the orientation or positional relationship in which the product of the present invention is usually placed during use. It is only for the convenience of describing the present invention and simplifying the description, and does not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be construed as a limitation of the present invention.

[0044] As Figures 1 to 2 shown, a foreign trade information processing method includes the following steps:

[0045] Step S1: Use web crawler technology to collect foreign trade information from multiple channels such as major foreign trade platforms, industry websites, and customs databases;

[0046] Step S2: Obtain internal information such as the enterprise's own order data, customer feedback, and inventory situation by docking with the internal system of the foreign trade enterprise;

[0047] Step S3: Clean the collected information to remove duplicate, incorrect, and irrelevant data;

[0048] Step S4: Standardize the information from different sources and in different formats to unify the data format;

[0049] Step S5: According to the preset classification rules, classify the information into different categories such as supplier category, product category, market category, policy category, etc.;

[0050] Step S6: Store the classified information in a distributed database;

[0051] Step S7: Use data analysis algorithms to evaluate supplier information, screen out high-quality suppliers, and analyze the relationship between market demand and product price to predict price trends;

[0052] Step S8: Combine with machine learning models to predict the needs of potential customers based on historical order data and market dynamics;

[0053] Step S9: According to the business needs and concerns of the foreign trade enterprise, push the analysis results to relevant enterprise personnel in the form of visual charts, reports, etc. through the system interface or email, etc.;

[0054] Step S10: Provide a personalized information subscription function, where users can subscribe to specific types of information according to their own needs, and the system will update and push the latest content in real time.

[0055] In the information collection in Step S1, using web crawler technology can adapt to the structural changes of different websites to ensure the continuity and accuracy of information collection. The information collected includes but is not limited to supplier information, product information, market demand, price trends, trade policies, etc.

[0056] In the information preprocessing in Step S3, data cleaning also includes detecting and correcting outliers in the information to improve data quality.

[0057] In the information analysis and mining in Step S7, data analysis algorithms and machine learning models can automatically adjust analysis parameters and model structures according to the dynamic business development of the enterprise and changes in the market environment to provide more accurate analysis results.

[0058] Data analysis algorithms can adopt clustering analysis, association rule mining, etc.

[0059] A foreign trade information processing system, comprising:

[0060] An information collection module, which uses web crawler technology to collect foreign trade information from multiple channels and interfaces with the internal system of foreign trade enterprises to obtain internal information;

[0061] An information preprocessing module, which cleans and standardizes the collected information;

[0062] An information storage module, which stores the classified information into a distributed database;

[0063] An information analysis module, which analyzes and mines the information by using data analysis algorithms and machine learning models;

[0064] An information push and display module, which pushes the analysis results to relevant enterprise personnel in a visual form and provides a personalized information subscription function.

[0065] The specific implementation steps are as follows:

[0066] Information collection: The system automatically collects information from well-known global electronic product trading platforms, industry information websites, and customs import and export data platforms. At the same time, it interfaces with the enterprise's internal ERP system to obtain data such as order execution status and inventory levels.

[0067] Information preprocessing: Clean the massive amount of collected information to remove interfering information such as advertisements and invalid links; convert product specifications, prices, etc. from different platforms into a unified format and store them in a distributed database.

[0068] Information classification and storage: Classify the information into categories such as supplier information (such as supplier reputation, production capacity), product information (such as product parameters, market popularity), and market information (such as market demand in different regions, price fluctuations), and store them classified.

[0069] Information analysis and mining: Use clustering analysis algorithms to evaluate indicators such as the on-time delivery rate and product quality qualification rate of suppliers, and screen out high-quality suppliers; discover the correlation between product sales volume, promotional activities, and seasonal changes through association rule mining to predict market demand; use machine learning models to predict potential customers' interest in new products based on historical order data.

[0070] Information push and display: The system displays the analysis results in the form of bar charts, line charts, etc. on the computer interface of enterprise decision-makers, and at the same time pushes key information to the person in charge of relevant departments such as the procurement department and the sales department via email. The procurement department can adjust the procurement strategy in a timely manner based on the recommended high-quality suppliers, and the sales department can carry out precise marketing activities based on the prediction of potential customer needs.

[0071] The web crawler unit in the information collection module has the ability to adapt to changes in website structure, ensuring the stability and reliability of information collection.

[0072] More specifically, the web crawler unit adopts advanced web parsing technologies and machine learning algorithms, and can monitor the structural changes of the target website in real time, such as page layout adjustments, data field changes, etc. When detecting structural changes, the crawler unit will automatically adjust the crawling strategy and parsing rules, and can continue to accurately collect information without manual intervention.

[0073] For example, for a foreign trade platform that frequently updates its product display page, the crawler unit can quickly adapt to the changes in the positions of its page elements, continuously and stably capture key information such as product names, specifications, prices, etc., and ensure the continuity and integrity of information collection work.

[0074] The data cleaning unit in the information preprocessing module can detect and correct outliers in the information, improving the accuracy of the data.

[0075] More specifically, the data cleaning unit uses statistical methods and data mining technologies to comprehensively detect outliers in the collected information.

[0076] For example, for product price information, by calculating statistical indicators such as the mean and variance of prices, combined with historical price data and market conditions, obvious abnormal prices that deviate from the normal range are identified. For the detected outliers, the data cleaning unit will take corresponding correction measures according to the specific situation, such as replacing them with reasonable estimated values or deleting the abnormal records, so as to improve the overall quality and reliability of the data and provide a solid foundation for subsequent information analysis.

[0077] The data analysis algorithms and machine learning models in the information analysis module can be automatically optimized according to the enterprise's business and market dynamics to adapt to the changing foreign trade environment and provide more valuable analysis insights.

[0078] More specifically, the information analysis module incorporates a variety of advanced data analysis algorithms, such as clustering analysis, association rule mining, time series analysis, etc., and combines machine learning models, such as decision trees, neural networks, support vector machines, etc. These algorithms and models can receive enterprise business data and market dynamic information as inputs in real time, and through self-learning and iterative optimization, automatically adjust the analysis parameters and model structures.

[0079] For example, when analyzing market demand trends, the model will dynamically adjust the weights and parameters of the prediction model according to factors such as the latest market sales data, consumer feedback, and macroeconomic indicators, so as to more accurately predict the changes in future market demand and provide more forward-looking and targeted analysis suggestions for the enterprise's product R & D, procurement plans, and market promotion strategies.

[0080] In summary, the present invention utilizes web crawler technology to automatically collect foreign trade information from multiple channels, covering various aspects such as suppliers, products, markets, and policies. Moreover, the crawler unit has the ability to adapt to changes in website structures, ensuring the continuity and accuracy of information collection, greatly improving the efficiency and quality of information collection, enabling foreign trade enterprises to quickly obtain comprehensive and accurate market information. Through the information preprocessing module, the collected information is cleaned and standardized, removing duplicate, incorrect, and irrelevant data, detecting and correcting outliers, and unifying the data format, enhancing the accuracy and consistency of the data, providing a solid foundation for subsequent information analysis, and enabling enterprises to make precise decisions based on high-quality data. Through the information analysis module, by applying advanced data analysis algorithms and machine learning models, it is possible to evaluate supplier information, screen high-quality suppliers, analyze the relationship between market demand and product prices, and predict price trends and potential customer demands. Through the information push and display module, the analysis results are presented in the form of visual charts, reports, etc., and pushed to relevant enterprise personnel through the system interface or email, etc., and a personalized information subscription function is provided. The present invention integrates internal and external information of foreign trade enterprises, breaks the information silos, and realizes information sharing and collaborative work.

[0081] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments. What is described in the above embodiments and the specification is only the principle of the present invention. Without departing from the spirit and scope of the present invention, the present invention will have various changes and improvements, and these changes and improvements all fall within the scope of the present invention claimed. The scope of protection claimed by the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for processing foreign trade information, characterized in that: The following steps are involved: Step S1: Using web crawler technology, collect foreign trade information from multiple channels such as major foreign trade platforms, industry websites, and customs databases; Step S2: By connecting with the internal system of the foreign trade enterprise, the enterprise's own order data, customer feedback, inventory status and other internal information are obtained; Step S3: Clean the collected information to remove duplicate, erroneous, and irrelevant data; Step S4: standardize information from different sources and in different formats to unify the data format; Step S5: Classify the information into different categories such as supplier category, product category, market category, policy category, etc. according to the preset classification rules; Step S6: storing the classified information in a distributed database; Step S7: Using data analysis algorithms to evaluate supplier information, screen out high-quality suppliers, analyze the relationship between market demand and product prices, and predict price trends; Step S8: Combine the machine learning model to predict the needs of potential customers based on historical order data and market dynamics; Step S9: According to the business needs and concerns of the foreign trade enterprises, the analysis results are pushed to the relevant personnel of the enterprises in the form of visual charts, reports, etc. through the system interface or emails; Step S10: Provide a personalized information subscription function, where users can subscribe to specific types of information according to their own needs, and the system will update and push the latest content in real time.

2. A foreign trade information processing method according to claim 1, characterized in that: In the information collection in step S1, the web crawler technology can adapt to the structural changes of different websites to ensure the continuity and accuracy of information collection, wherein the collected information includes but is not limited to supplier information, product information, market demand, price trends, trade policies, etc.

3. A foreign trade information processing method according to claim 1, characterized in that: In the information preprocessing in step S3, data cleaning also includes detecting and correcting abnormal values ​​in the information to improve data quality.

4. A foreign trade information processing method according to claim 1, characterized in that: In the information analysis and mining in step S7, the data analysis algorithm and machine learning model can automatically adjust the analysis parameters and model structure according to the business development dynamics of the enterprise and changes in the market environment to provide more accurate analysis results.

5. A foreign trade information processing method according to claim 4, characterized in that: The data analysis algorithm may adopt cluster analysis, association rule mining, etc.

6. A foreign trade information processing system, characterized in that: include: Information collection module, which uses web crawler technology to collect foreign trade information from multiple channels, and connects with the internal systems of foreign trade enterprises to obtain internal information; Information preprocessing module, which cleans and standardizes the collected information; An information storage module stores the classified information in a distributed database; Information analysis module, which uses data analysis algorithms and machine learning models to analyze and mine information; The information push and display module pushes the analysis results to relevant personnel of the enterprise in a visual form and provides personalized information subscription function.

7. A foreign trade information processing system according to claim 6, characterized in that: The web crawler unit in the information collection module has the ability to adapt to changes in website structure, ensuring the stability and reliability of information collection.

8. A foreign trade information processing system according to claim 6, characterized in that: The data cleaning unit in the information preprocessing module can detect and correct abnormal values ​​in the information to improve the accuracy of the data.

9. A foreign trade information processing system according to claim 6, characterized in that: The data analysis algorithms and machine learning models in the information analysis module can be automatically optimized according to corporate business and market dynamics to adapt to the ever-changing foreign trade environment and provide more valuable analytical insights.

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