Multi-industry fusion Internet service platform and method based on data platform, and storage medium

Abstract

The invention relates to the technical field of industrial digital transformation and e-commerce, and particularly discloses a multi-industry fusion Internet service platform and method based on a data medium platform and a storage medium, and the platform comprises the data medium platform which is used for carrying out the unified management and analysis of the data of each industry; the operation planning center is responsible for marketing activity planning and content management of the platform; the AI center is used for collecting and preprocessing the data extracted by the platform and the data generated by the platform system, then constructing a vector database, and further training and optimizing the constructed intelligent recommendation model, the dynamic pricing model and the intelligent customer service model; the constructed intelligent customer service model, the intelligent recommendation model and the dynamic pricing model are used for intelligent marketing and intelligent customer service; a member center; a customer service center; a commodity service center; a transaction center; a personal center; and a management center.

Description

Technical Field

[0001] This application relates to the fields of industrial digital transformation and e-commerce technology, and particularly to a multi-industry integrated Internet service platform, method, and storage medium based on a data center platform. Background Art

[0002] With the rapid development of Internet technology, Internet application platforms have become an indispensable part of people's daily lives. However, most existing Internet application platforms focus on a single industry or a few related industries. For example, traditional Internet application platforms mainly concentrate on the retail field and lack deep integration with other industries centered around industrial services. The property industry, as an important part of urban life, involves a large amount of user data and service demands, such as residents' personal information, property payment records, repair demands, etc. If these data can be effectively integrated with the data of other industries, greater commercial value and social benefits can be created.

[0003] Currently, although some platforms have tried to combine the property industry with Internet services, most of them are just simple information display and transaction matching, and have not truly achieved in-depth data mining and value creation. For example, some property service platforms provide online payment and repair functions, but these functions are relatively independent and not associated with the data of other industries for analysis, unable to provide personalized service recommendations for users or accurate market insights for merchants.

[0004] In addition, there are also many deficiencies in the data management and operation of existing Internet application platforms. The phenomenon of data silos is serious, and it is difficult to share and collaborate on data between different industries, resulting in resource waste and low operation efficiency. At the same time, there are also no effective measures for data security and privacy protection, and users' personal information is easily leaked, bringing security risks to users. Summary of the Invention

[0005] The purpose of this application is to provide a multi-industry integrated Internet service platform, method, and storage medium based on a data center platform to solve the above problems.

[0006] To achieve the above purpose, an embodiment of this application provides a multi-industry integrated Internet service platform based on a data center platform, including:

[0007] A data center platform for uniformly managing and analyzing the data of each industry;

[0008] An operation and planning center for being responsible for the marketing activity planning and content management of the platform;

[0009] An AI center for collecting and preprocessing the data extracted by the data middle platform and the data generated by the platform system itself, then constructing a vector database, and further training and optimizing the constructed intelligent recommendation model, dynamic pricing model, and intelligent customer service model, and using the constructed intelligent customer service model, intelligent recommendation model, and dynamic pricing model for intelligent marketing and intelligent customer service;

[0010] A membership center for providing comprehensive membership management functions;

[0011] A customer service center for responsible for pre-sales consultation and after-sales service of the platform;

[0012] A product service center for responsible for the management of products and services;

[0013] A transaction center for providing comprehensive payment, order management, and distribution management functions;

[0014] A personal center for providing personal information management and order management functions;

[0015] A management center for providing system management and report management functions.

[0016] Optionally, the data middle platform specifically includes the following functions:

[0017] Metadata management: Manage data sources, database tables, and metadata, generate database documents, and set metadata information permission division;

[0018] Data standard management: Maintain the national standard data dictionary, compare local data with national standard data, and perform comparison relationship maintenance and comparison result statistical analysis;

[0019] Data quality management: Configure data quality rules, perform problem statistics on data, and generate quality reports;

[0020] Master data management: Maintain the data model and data management of master data;

[0021] Data application management: Provide a unified authentication center to achieve unified authentication of user information for each platform and production system, dynamically develop API data services, generate data service documents, and perform dynamic desensitization on the returned results of API data services, and provide interface logs and service integration management;

[0022] Visualization management: Provide dynamic ECharts chart configuration based on the query results of SQL.

[0023] Optionally, the collection of the data extracted by the data middle platform and the data generated by the platform system itself specifically includes:

[0024] Collect user behavior data, product data, market data, customer service interaction data, user data, consumption data, and spatial data. Among them,

[0025] User behavior data: including the browsing history, purchase records, search keywords, favorites content, shopping cart information, and page stay time of users on the e-commerce platform;

[0026] Product data: including the detailed information of products, as well as the online and offline time of products and promotional activities. The detailed information includes name, category, price, inventory, sales volume, and evaluation;

[0027] Market data: including market supply and demand relationships, pricing strategies of competitors, and industry trends;

[0028] Customer service interaction data: including the conversation content between users and intelligent customer service. The conversation content includes the questions of users, the answers of intelligent customer service, and the feedback of users.

[0029] Optionally, preprocess the data extracted by the data middle platform and the data generated by the platform system itself, specifically including:

[0030] Data cleaning: remove duplicate data, handle missing values, and correct incorrect data;

[0031] Feature engineering: perform feature extraction and transformation on the collected data, perform feature selection, and remove features with low correlation with the target variable;

[0032] Data annotation: annotate the customer service interaction data to clarify the intention category of users.

[0033] Optionally, the construction of the vector database specifically includes:

[0034] Use a pre-trained language model to encode text data into high-dimensional vectors to obtain text vectors and capture semantic information;

[0035] Store the generated text vectors in the vector database Faiss.

[0036] Optionally, train and optimize the constructed intelligent recommendation model, dynamic pricing model, and intelligent customer service model, specifically including:

[0037] Train and optimize the intelligent recommendation model, including:

[0038] Select user features, product features, and interaction features between users and products as the input features of the model, use the user's purchase behavior as the label, construct a training dataset, use the XGBoost regression operator for model training, and adjust the parameters of XGBoost for model optimization;

[0039] Training and optimizing the dynamic pricing model includes:

[0040] By analyzing historical sales data and market trends, calculate the elastic demand and price sensitivity characteristics of the product, and use them as input features of the model to construct a training dataset. Then use the XGBoost regression operator to train and optimize the dynamic pricing model;

[0041] Training and optimizing the intelligent customer service model includes:

[0042] Intent recognition model training: Use the labeled customer service interaction data as the training set, and utilize the natural language processing capabilities in the LangChain+LLaMA3 technology to train the intent recognition model.

[0043] Dialogue management model and response generation model training: Based on the intent recognition model, combine the information in the vector database to train the dialogue management model and the response generation model.

[0044] Model optimization: Through actual interactions with users, collect feedback data to continuously optimize and update the model.

[0045] Optionally, using the constructed intelligent customer service model, intelligent recommendation model, and dynamic pricing model for intelligent marketing and intelligent customer service specifically includes:

[0046] Intelligent planning: Utilize the trained dynamic pricing model and market data analysis results to predict market demand and profit changes under different pricing strategies, provide data support for marketing planning, help formulate reasonable promotional activities and price strategies, and combine user portraits and consumer behavior analysis to plan personalized marketing activities, such as launching exclusive discount packages and customized product recommendation lists for different member groups;

[0047] Intelligent recommendation: When a user browses the e-commerce platform, real-time obtain the user's current behavior and context information, combine the user's historical characteristics and product characteristics, and through the trained intelligent recommendation model, recommend the products that the user is most likely to be interested in. Use the text vectors in the vector database for similarity search to recommend products similar to or related to the currently browsed product to the user;

[0048] Coupon push: According to the user's consumption preferences, purchase history, and current marketing strategies, predict the user's acceptance and usage probability of different types of coupons through the intelligent recommendation model, and combine the user's geographical location and time information to push appropriate coupons to the user;

[0049] Dynamic Pricing Strategy: Real-time monitor the market supply and demand relationship, the price changes of competitors, and the purchasing willingness of users for goods, input this data into the dynamic pricing model, and the dynamic pricing model automatically adjusts the price of goods according to the prediction results;

[0050] Build an Expert Database: Build an expert database containing industry experts' knowledge, experience sharing, and solutions to common problems, vectorize the text content in the expert database through LangChain+LLaMA3 technology, and store it in the vector database;

[0051] Intelligent Customer Service: After obtaining the questions input by users through the interaction interface, identify the intentions of users' questions through the intention recognition model, query for matching answers in the vector database according to the identified intentions, and at the same time maintain the dialogue state in combination with the dialogue management model, generate appropriate reply content and send it to users through the reply generation model.

[0052] Optionally, the membership management function includes at least one of membership management, membership level, membership group, membership log, membership settings, delivery address, and invoice management;

[0053] The pre-sales consultation and after-sales service of the platform include at least one of pre-sales product / service transfer consultation, consultation queue, after-sales service support, refund management, complaint management, report management, service evaluation, and satisfaction tracking;

[0054] The management of the products and services includes at least one of product service classification, product service, product service attributes, product brands, product malls, and point malls;

[0055] The payment, order management, and delivery management functions include at least one of payment function, order management, delivery management, sales revenue, and point management;

[0056] The personal information management and order management functions include at least one of personal information, my orders, shopping cart, my revenue, my points, my coupon pack, my invoice, order refund, consumer rights protection, my footprint, my favorites, and my messages;

[0057] The system management and report management functions include at least one of cockpit, message center, role permissions, system management, and report management.

[0058] To achieve the above object, the present application also provides a multi-industry integration Internet service method for a multi-industry integration Internet service platform based on the foregoing data middle platform, including:

[0059] Utilize the metadata management module of the data middle platform to perform ETL processing on data sources, database tables, and metadata information through data standardization and data quality control, generate master data with user basic information as the core, and input it into the data operation library, data details library, and special topic library;

[0060] Provide a unified authentication center to achieve unified authentication of user information, dynamically develop API data services, generate data service documents, and perform dynamic desensitization on the returned results of API data services. Based on the query results of SQL, provide dynamic ECharts chart configuration to achieve personalized dashboard and cool screen configuration;

[0061] Through the construction of user portraits in the AI center, analyze user behaviors, provide personalized services, automatically generate marketing content and advertisements through intelligent planning, achieve intelligent recommendation, coupon push, dynamic pricing strategy, connect users with domain experts, provide professional consultation and question answering, and provide intelligent customer service, including question consultation, life assistant, and industry tips;

[0062] Through the operation planning center, plan special topic activities, manage tweet, video, and game content, and provide marketing strategies including coupons / codes, membership activities, sharing rewards, limited-time promotions, and consumption upgrades;

[0063] In the customer service center, handle pre-sales consultation and after-sales service, including product / service transfer consultation, consultation queue, business service, refund management, complaint management, reporting management, service evaluation, and satisfaction tracking. In the product service center, manage products and services, including classification, attributes, brands, shopping malls, and points malls;

[0064] In the transaction center, provide payment, order management, and distribution management functions, including payment functions, order management, distribution management, sales revenue, and points management;

[0065] Through the management center, data reports, and cockpit, monitor the integration of property industry data and other industry data;

[0066] According to market feedback and user needs, continuously optimize the platform functions and iterate and update.

[0067] To achieve the above object, the present application also provides a computer storage medium, on which a computer program is stored, wherein when the computer program is executed by a machine, the steps of the method described above are implemented.

[0068] The embodiments of the present application have the following advantages:

[0069] Enhanced data integration and standardization:

[0070] This application realizes data integration among different industries through the data middle platform, ensuring data consistency and accuracy. Such integration not only improves the quality and reliability of data, but also provides a solid foundation for cross-industry analysis and decision-making.

[0071] Enhancement of personalized services and user experience:

[0072] Utilizing advanced AI technologies, this application can construct detailed user portraits, thereby providing users with more personalized services and product recommendations. Such personalized services significantly improve user satisfaction and loyalty, while also enhancing user interaction with the platform.

[0073] Optimization of intelligent marketing and dynamic pricing:

[0074] The intelligent marketing system of this application can automatically adjust marketing strategies according to user behavior and market trends, improving the pertinence and effectiveness of marketing activities. The dynamic pricing strategy can adjust product prices in real time according to market demand and user behavior to maximize revenue.

[0075] Promotion of industrial collaboration and digital transformation:

[0076] Through multi-industry integration, this application not only realizes resource sharing, but also promotes the collaborative development among different industries. Such a synergistic effect provides impetus for industrial digital transformation, driving innovation and growth of the entire ecosystem.

[0077] Improvement of operational efficiency and market response speed:

[0078] The unified membership management and customer service center improve the operational efficiency of the platform, making services smoother and more efficient. Meanwhile, the real-time data analysis ability enables the platform to quickly respond to market changes and maintain competitiveness.

[0079] Enhancement of cost control and security:

[0080] Automated and intelligent operational processes reduce labor costs and improve efficiency. Meanwhile, the enhanced measures in data management of this application ensure data security and privacy protection, providing users with a more secure and reliable service. Brief Description of the Drawings

[0081] In order to more clearly illustrate the implementation manners of this application or the technical solutions in the prior art, the following will briefly introduce the drawings required for use in the description of the implementation manners or the prior art. Obviously, the drawings described below are merely exemplary, and for those of ordinary skill in the art, without creative efforts, other implementation drawings can also be obtained by extending the provided drawings.

[0082] Figure 1Connection block diagram of a multi-industry integrated Internet service platform based on a data middle platform provided by at least one embodiment of the present application;

[0083] Figure 2 AI center training process of a multi-industry integrated Internet service platform based on a data middle platform provided by at least one embodiment of the present application;

[0084] Figure 3 Flow schematic diagram of a multi-industry integrated Internet service method based on a data middle platform provided by at least one embodiment of the present application. Detailed implementation manners

[0085] The following specific embodiments illustrate the implementation manners of the present application. Those skilled in the art can easily understand other advantages and effects of the present application from the content disclosed in this specification. Obviously, the described embodiments are part of the embodiments of the present application, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in the present application without creative efforts shall fall within the protection scope of the present application.

[0086] It should be noted that in the claims and the description of the present application, the steps can be executed substantially in parallel or in the reverse order under appropriate circumstances, depending on the functions involved.

[0087] In addition, the technical features involved in different implementation manners of the present application described below can be combined with each other as long as they do not conflict with each other.

[0088] An embodiment of the present application provides a multi-industry integrated Internet service platform based on a data middle platform. Refer to Figure 1 , Figure 1 is a connection block diagram of a multi-industry integrated Internet service platform provided in at least one implementation manner of the present application. It should be understood that the platform may further include additional blocks not shown and / or the shown blocks may be omitted, and the scope of the present application is not limited in this regard. The platform includes the following main modules:

[0089] Data middle platform

[0090] The data middle platform is one of the core components of the present application and is responsible for the unified management and analysis of data in various industries. It includes the following key functions:

[0091] Metadata management: Manage information such as data sources, database tables, and metadata, generate database documents for convenient data query and retrieval. At the same time, set the permission division of metadata information to ensure data security and privacy.

[0092] Data Standard Management: Maintain the national standard data dictionary, compare local data with national standard data, and conduct maintenance of comparison relationships and statistical analysis of comparison results to improve data consistency and accuracy.

[0093] Data Quality Management: Configure data quality rules, conduct problem statistics and generate quality reports for data, and ensure data quality and reliability through scheduled tasks and task logs.

[0094] Master Data Management: Maintain the data models and data management of master data (such as master user data, supplier data), and provide unified data standards and specifications for each industry.

[0095] Data Application Management: Provide a unified authentication center to achieve unified authentication of user information for each platform and production system. At the same time, dynamically develop API data services, generate data service documents, and perform dynamic desensitization on the returned results of API data services to ensure data security. In addition, interface logs and service integration management are provided to facilitate the integration and invocation of third-party data services.

[0096] Visualization Management: Based on the query results of SQL, provide dynamic ECharts chart configuration, supporting various charts such as multi-dimensional tables, line charts, bar charts, pie charts, radar charts, and scatter plots. Users can add chart components in a drag-and-drop manner, adjust positions and sizes to achieve personalized dashboard and cool screen configurations.

[0097] Operation Planning Center

[0098] The Operation Planning Center is one of the core components of this application, responsible for the marketing activity planning and content management of the platform, mainly including:

[0099] Special Activities: Attract the attention of the target user group, increase user participation, enhance brand awareness and sales conversion rate by centrally displaying and promoting specific themes or products.

[0100] Content Management: Manage the upload, review, and release of tweets, videos, and game content, providing users with a rich and diverse content experience.

[0101] Coupons / Codes: Provide discounts or specific offers for users to attract new customers or encourage existing customers to repurchase, increase the purchase volume, and enhance customer loyalty and brand stickiness.

[0102] Membership Activities: Provide time-limited or quantity-limited exclusive offers for members to attract a large number of new and old users to participate, and at the same time increase member loyalty and activity.

[0103] Share and Get Rewards: Encourage users to share product or activity information through social networks. Users can receive rewards or offers after sharing, increasing the exposure rate of products and the social dissemination power of the platform.

[0104] Limited-time Promotion: Set up promotional strategies to attract consumers to make quick purchase decisions through limited-time discounts or specific offers, increasing short-term sales volume and market influence.

[0105] Consumption Upgrade: By setting up exemptions or gifts after reaching a certain consumption amount, encourage consumers to increase the single purchase quantity, raise the average customer price, and promote sales and brand awareness.

[0106] AI Center

[0107] The AI Center is one of the core components of this application and the intelligent core of the platform. The AI Center mainly collects and preprocesses the data extracted from the data middle platform and the data generated by the platform system itself, then constructs a vector database, and further trains and optimizes the constructed intelligent recommendation model, dynamic pricing model, and intelligent customer service model. Then it is applied to various scenarios.

[0108] Specifically, use XGBoost regression and K-means operator as the regression model; fine-tune the vector database by combining LangChain and LLaMA3 with LoRA to improve the model's performance on corresponding tasks, and then output the results. The main process is as Figure 2 shown.

[0109] In some embodiments, the collection of the data extracted from the data middle platform and the data generated by the platform system itself specifically includes:

[0110] Collect user behavior data, product data, market data, customer service interaction data, user data, consumption data, and spatial data. Among them,

[0111] User behavior data: Collect data such as the browsing history, purchase records, search keywords, favorite content, shopping cart information, and page stay time of users on the e-commerce platform. These data help to understand users' interest preferences and purchase intentions.

[0112] Product data: Include detailed information about products, as well as information such as the product's listing and delisting time, promotional activities, etc., providing a basis for intelligent recommendation, dynamic pricing, etc. The detailed information includes name, category, price, inventory, sales volume, evaluation, etc.

[0113] Market data: Pay attention to market supply and demand relationships, competitors' pricing strategies, industry trends, etc., in order to better conduct dynamic pricing and intelligent planning.

[0114] Customer service interaction data: Record the conversation content between users and intelligent customer service, including users' questions, intelligent customer service's answers, and users' feedback, etc., for training and optimizing the intelligent customer service model.

[0115] In some embodiments, the preprocessing of the data extracted from the data middle platform and the data generated by the platform system itself specifically includes:

[0116] Data cleaning: Remove duplicate data, handle missing values (such as filling, deleting, etc.), correct incorrect data, etc., to ensure the quality and accuracy of the data.

[0117] Feature engineering: Extract and transform features from the collected data. For example, convert the user's browsing history into preference features for product categories, convert timestamps into time periods, etc. At the same time, feature selection can also be performed to remove features with low correlation with the target variable to improve the training efficiency and effect of the model.

[0118] Data annotation: For the intelligent customer service function, it is necessary to annotate the customer service interaction data to clarify the user's intention category, such as consulting product information, asking about order status, making complaints, etc., in order to train the intention recognition model.

[0119] In some embodiments, the construction of the vector database specifically includes:

[0120] Text vectorization:

[0121] Use a pre-trained language model such as BERT to encode text data such as product descriptions, user reviews, and customer service conversations into high-dimensional vectors to capture semantic information. BERT processes the text through its bidirectional Transformer architecture, generates semantically rich vectors for each Token, and then obtains the vector representation of the entire text through aggregation methods such as average pooling for subsequent text analysis and processing tasks.

[0122] Construct a vector database:

[0123] Store the generated text vectors into the vector database Faiss. The vector database can efficiently perform vector retrieval, support fast similarity search, and provide fast and accurate text matching capabilities for functions such as intelligent recommendation and intelligent customer service.

[0124] In some embodiments, the training and optimization of the constructed intelligent recommendation model, dynamic pricing model, and intelligent customer service model specifically include:

[0125] Training and optimization of the intelligent recommendation model include:

[0126] Feature selection and data preparation: Select user features (such as age, gender, consumption preferences, etc.), product features (such as category, price, sales volume, etc.), and interaction features between users and products (such as clicks, purchases, collections, etc.) as input features of the model, and use the user's purchase behavior as the label to construct a training dataset.

[0127] Model Training: Use the XGBoost regression operator for model training. XGBoost is an ensemble learning algorithm based on gradient boosting, which has advantages such as handling large-scale data and preventing overfitting. It can effectively learn the complex relationship between user features and product features, thereby achieving accurate recommendations.

[0128] Model Tuning: Tune the model by adjusting the parameters of XGBoost, such as the learning rate, tree depth, number of trees, etc. In some embodiments, methods such as grid search and random search are adopted, combined with cross-validation, to find the optimal parameter combination and improve the prediction accuracy of the model.

[0129] Training and tuning the dynamic pricing model includes:

[0130] Feature Engineering: In addition to the basic features of the product, factors such as market supply and demand relationship, competitor prices, and user purchase willingness also need to be considered as features. In some embodiments, by analyzing historical sales data and market trends, features such as the elastic demand and price sensitivity of the product are calculated and used as input features of the model to construct a training dataset.

[0131] Model Training and Tuning: Similarly, use the XGBoost regression operator to train and tune the dynamic pricing model. The goal of the model is to predict the optimal price of the product under different market conditions to maximize profits. By continuously adjusting parameters and optimizing the model structure, the accuracy of price prediction and the effectiveness of the dynamic pricing strategy are improved.

[0132] Training and tuning the intelligent customer service model includes:

[0133] Training of the Intent Recognition Model: Use the labeled customer service interaction data as the training set and utilize the natural language processing capabilities in the LangChain + LLaMA3 technology to train the intent recognition model. The model needs to be able to accurately identify the intent category of the user input text, providing a basis for generating the subsequent customer service response content.

[0134] Training of the Dialogue Management Model and the Response Generation Model: Based on the intent recognition model, combined with the information in the vector database, train the dialogue management model and the response generation model. The dialogue management model is responsible for maintaining the dialogue state to ensure the coherence and accuracy of the dialogue; the response generation model generates appropriate response content according to the user's intent and dialogue context.

[0135] Model Tuning: Through actual interaction with users, collect feedback data and continuously tune and update the model. Methods such as reinforcement learning can be adopted to optimize the model's parameters and strategies according to feedback signals such as user satisfaction evaluations, improving the service quality and user experience of the intelligent customer service.

[0136] The training process of the AI center model is as follows Figure 2 as shown. The constructed intelligent customer service model, intelligent recommendation model, and dynamic pricing model are mainly used for intelligent marketing and intelligent customer service.

[0137] In some embodiments, the specific functions and application scenarios of the constructed intelligent customer service model, intelligent recommendation model, and dynamic pricing model include:

[0138] Intelligent planning: Using the trained dynamic pricing model and market data analysis results, predict the market demand and profit changes under different pricing strategies, provide data support for marketing planning, and help formulate reasonable promotional activities and price strategies to attract more users to consume.

[0139] Combined with user portraits and consumption behavior analysis, plan personalized marketing activities, such as launching exclusive preferential packages for different member groups, customized product recommendation lists, etc., to improve the accuracy and effectiveness of marketing activities.

[0140] Intelligent recommendation: When users browse the e-commerce platform, real-time obtain the current behavior and context information of users, combine the historical characteristics of users and product characteristics, and recommend the products that users are most likely to be interested in through the trained intelligent recommendation model.

[0141] Use the text vectors in the vector database for similarity search, and recommend products similar or related to the currently browsed product to users, further expanding users' shopping choices and improving the diversity and accuracy of recommendations.

[0142] Coupon push: According to users' consumption preferences, purchase history, and current marketing strategies, predict users' acceptance and usage probabilities of different types of coupons through the intelligent recommendation model.

[0143] Combined with information such as users' geographical locations and time, accurately push appropriate coupons to users, such as pushing coupons of a certain brand when users are near the brand's offline store, to improve the redemption rate and usage rate of coupons and promote users' consumption behavior.

[0144] Dynamic pricing strategy: Real-time monitor information such as market supply and demand relationships, competitor price changes, and users' willingness to purchase products, and input this data into the dynamic pricing model.

[0145] The dynamic pricing model automatically adjusts product prices according to the prediction results to ensure maximum profit under different market conditions. At the same time, it can also flexibly adjust prices in combination with promotional activities and inventory situations.

[0146] Building an Expert Database: Build an expert database that includes industry experts' knowledge, experience sharing, solutions to common problems, etc. Vectorize the text content in the expert database through LangChain+LLaMA3 technology and store it in a vector database.

[0147] When users or customer service staff encounter complex problems, they can quickly find the most relevant expert knowledge and solutions in the expert database through vector retrieval technology, provide professional answers and suggestions to users, and improve the efficiency and quality of problem-solving.

[0148] Intelligent Customer Service: After obtaining the questions input by users through the interaction interface, first identify the intent of the users' questions through the intent recognition model.

[0149] According to the identified intent, query for matching answers in the vector database, and at the same time maintain the conversation state in combination with the dialogue management model, generate appropriate response content and send it to the users through the response generation model.

[0150] If no suitable answers are found in the vector database, the intelligent customer service can guide users to perform the next operations, such as providing more information, transferring to a human customer service, etc., to ensure that users' questions are effectively solved.

[0151] Member Center

[0152] The Member Center is the core module for platform user management, providing comprehensive membership management functions, mainly including: member management, member levels, member groups, member logs, member settings, delivery addresses, invoice management, etc.

[0153] Customer Service Center

[0154] The Customer Service Center is responsible for pre-sales consultation and after-sales service of the platform, including: pre-sales product / service transfer inquiries, consultation queues, after-sales service support, refund management, complaint management, reporting management, service evaluation and satisfaction tracking.

[0155] Product and Service Center

[0156] The Product and Service Center is responsible for the management of products and services, including: product and service classification, product and service, product and service attributes, product brands, product malls, and point malls.

[0157] Transaction Center

[0158] The Transaction Center is the core of the platform's transactions, providing comprehensive payment, order management, and delivery management functions, including: payment function, order management, delivery management, sales revenue, and point management.

[0159] Personal Center

[0160] The personal center is the core module for user personal management, providing comprehensive personal information management and order management functions, mainly including: personal information, my orders, shopping cart, my earnings, my points, my coupon package, my invoices, order refunds, consumer rights protection, my footprints, my collections, and my messages.

[0161] Management Center

[0162] The management center is the core of the platform's operation and management, providing comprehensive system management and report management functions, including: cockpit, message center, role permissions, system management, report management, etc.

[0163] The following embodiments take the platform provided by this application and apply it to a large diversified development group, with the property industry as the core and integrating the driving training and health care industries as an example to explain and illustrate the technical solution of the multi-industry integrated Internet platform of this application. Its structural connection is as Figure 1 shown, mainly including:

[0164] I. Data Middle Platform

[0165] As the core component, the data middle platform deeply integrates and manages the data of the property, driving training, and health care industries.

[0166] Metadata Management: Integrate metadata such as owner information, property information, and equipment and facility information in the property industry, metadata of driving schools, students, driving learning, and examination information in the driving training industry, and metadata such as outpatient diagnosis and treatment, health care, image pictures, and medical expense reports in the HIS, LIS, PACS, etc. systems in the health care industry. Generate a comprehensive database document covering the three major industries to facilitate cross-industry data query and retrieval. At the same time, set fine-grained metadata information permission divisions for different industry data to ensure the security and privacy of each industry's data. For example, restrict non-medical personnel from accessing sensitive medical data.

[0167] Data Standard Management: Based on the national standard data dictionary, maintain detailed mapping relationships with the local data of the property, driving training, and health care industries. For example, unify the naming and calculation standards of expense items such as property management fees, driving training fees, and medical expenses, as well as the format and field standards of personnel information such as owners, students, and patients. Through statistical analysis of the mapping results, improve the consistency and accuracy of the data in the three major industries to facilitate subsequent data integration and application.

[0168] Data Quality Management: Configure data quality rules applicable to the property, driving training, and healthcare industries. For the property industry, check the integrity of owner information and the accuracy of property information; for the driving training industry, ensure the timeliness of trainee information and the continuity of driving learning records; for the healthcare industry, verify the accuracy and integrity of medical data. Regularly check data quality through scheduled tasks, generate statistical reports and quality reports containing data problems in each industry, and trace data quality problems with the help of task logs to ensure the quality and reliability of data.

[0169] Master Data Management: Maintain a master data model centered on customers (who are also driving training trainees and healthcare patients), integrating data such as basic owner information and property information in the property industry, trainee information in the driving training industry, and patient medical records in the healthcare industry. Establish a unified master data management specification to provide consistent data standards and norms for each industry, and achieve data sharing and collaboration. For example, associate the property payment records of owners with information such as driving training fee payment and medical expense reimbursement.

[0170] Data Application Management: Provide a unified authentication center to achieve unified authentication of user information for each platform and production system in the property, driving training, and healthcare industries, facilitating users to use services across industries. Dynamically develop API data services applicable to the three major industries, such as API services for property payment query, driving training course reservation, and medical appointment registration, and generate detailed data service documents. Perform dynamic desensitization processing on the returned results of API data services to protect user privacy, such as hiding some sensitive information of owners, trainees, and patients. At the same time, provide interface logs and service integration management to facilitate the integration and invocation of tripartite data services and promote business collaboration between industries.

[0171] Visualization Management: Based on SQL query results, provide dynamic ECharts chart configuration, supporting various chart types such as multi-dimensional tables, line charts, bar charts, pie charts, radar charts, and scatter plots. Users can add chart components in a drag-and-drop manner, adjust the position and size, and achieve personalized dashboard and cool screen configurations to display multi-dimensional data such as the fee collection situation and equipment maintenance status in the property industry, the trainee registration trend and exam pass rate in the driving training industry, and the outpatient volume and medical expense distribution in the healthcare industry, providing an intuitive basis for operation and management decisions.

[0172] II. Operation Planning Center

[0173] The Operation Planning Center conducts diversified marketing activity planning and content management around the property, driving training, and healthcare industries.

[0174] Special Activities: Plan driving training experience activities with the property community as the scenario, such as setting up a driving training simulation experience area within the community to attract property owners to participate and promote driving training courses at the same time; carry out community free medical consultations themed on health care and medical treatment, combining with the community services of the property to provide free medical consultations and physical examination services for property owners, enhancing property owners' awareness and participation in the health care and medical treatment industry, and increasing users' participation and brand awareness in the three major industries.

[0175] Content Management: Manage the uploading, review, and release of tweets, videos, and game content such as property community life guides, driving training skill tutorials, and health care and medical science popularization knowledge. Through channels such as the property WeChat official account and community bulletin boards, release content such as driving learning experience sharing and stories of excellent students in the driving training industry, as well as health preservation knowledge and introductions of new medical technologies in the health care and medical treatment industry, providing users with a rich and diverse content experience and enhancing user stickiness.

[0176] Coupons / Codes: Provide targeted discounts or specific offers for property owners, driving training students, and health care and medical treatment patients. For example, after paying the property management fee, property owners can obtain driving training course coupons; after passing the subject exam, driving training students can obtain health care and medical treatment physical examination discount codes; after hospitalization, health care and medical treatment patients can enjoy discounts on property cleaning services, attracting new customers or prompting existing customers to consume among the three major industries, increasing the purchase volume, and enhancing customer loyalty and brand stickiness.

[0177] Membership Activities: Launch a membership system integrating the property, driving training, and health care and medical treatment industries. Members can enjoy exclusive time-limited or quantity-limited offers from the three major industries. For example, if a member pays a certain amount in property management fees, they can obtain a free driving training experience course; if a member consumes a certain number of times in driving training, they can enjoy free expert consultation services in health care and medical treatment; after a member consumes in health care and medical treatment, they can obtain tickets for property community activities, attracting a large number of new and old users to participate, and at the same time increasing member loyalty and activity.

[0178] Share and Get Rewards: Encourage users to share information about property community activities, driving training course experiences, health care and medical treatment effects, etc. through social networks. After sharing, users can obtain rewards or offers such as property management fee deduction vouchers, driving training course discount vouchers, and health care and medical treatment physical examination coupons, increasing the exposure rate of the products in the three major industries and the social dissemination power of the platform.

[0179] Limited-Time Promotion: Set promotional strategies for the property, driving training, and health care and medical treatment industries, attracting consumers to make quick purchase decisions through time-limited discounts or specific offers. For example, launch a time-limited discount activity for property management fees during the peak period of property fee payment; carry out a time-limited preferential registration for driving training courses during the peak driving training enrollment season; launch a time-limited special price for physical examination packages during the off-season of health care and medical treatment, increasing the short-term sales volume and market influence of the three major industries.

[0180] Consumption Upgrade: By setting discounts or gifts after reaching the consumption amounts in the property management, driving training, and healthcare industries, consumers are incentivized to increase their single - purchase volume. For example, if a property owner pays the property management fees for a certain number of years at one time, they can get a free experience of advanced driving training courses; if a driving training student purchases multi - subject courses at one time, they can enjoy a discount on high - end physical examination packages in healthcare; if a healthcare patient purchases multiple courses of rehabilitation treatment at one time, they can obtain the right to use an exclusive parking space in the property community, increasing the average customer price and promoting sales and brand awareness.

[0181] III. AI Center

[0182] As the intelligent core of the platform, the AI Center provides intelligent marketing and intelligent customer service functions for the property management, driving training, and healthcare industries.

[0183] Intelligent Marketing:

[0184] User Portrait Construction: Analyze the behaviors of users in the business systems of property management, driving training, and healthcare, such as property payment habits, driving training progress, and medical treatment records, to construct a detailed user portrait. For example, identify property owners who often participate in community activities and are concerned about health preservation, and mark them as potential high - quality service customers in healthcare.

[0185] User Behaviors and Preferences: Based on the health data collected through the digital healthcare platform, combined with the property community life data and driving training data, provide personalized health advice and preventive measures. For example, according to the property owner's physical examination report and participation in daily community activities, recommend suitable healthcare courses and safe driving training content for driving training.

[0186] Intelligent Planning: Automatically generate marketing content and advertisements for the property management, driving training, and healthcare industries according to users' behaviors and preferences. For example, generate advertisements for parent - child driving training experience courses for property owners who are concerned about children's education, and generate advertisements for rehabilitation treatment packages in healthcare for patients with chronic diseases, improving the conversion rate.

[0187] Intelligent Recommendation: Recommend relevant property value - added services, driving training courses, healthcare products or services according to users' historical behaviors and preferences. For example, recommend the property's fitness equipment rental service to property owners who often participate in community sports activities, recommend an auto maintenance package suitable for their vehicle models to driving training students, and recommend personalized rehabilitation treatment plans to healthcare patients.

[0188] Coupon Push: Personalized and accurately recommend relevant coupons according to preferences. For example, push car dealership coupons to driving training students with the intention of buying a car, and push healthcare physical examination package coupons to property owners with physical examination needs.

[0189] Dynamic Pricing Strategy: Dynamically adjust the prices of goods / services by comprehensively considering the market demand, user behaviors, and competitor pricing in the property management, driving training, and healthcare industries.

[0190] Expert Database: AI connects users with experts in the fields of property management, driving training, and healthcare and wellness, providing professional consultations and in-depth problem-solving. For example, property owners can consult property experts through the platform about housing maintenance issues, driving training students can consult driving instructors about driving skills, and healthcare and wellness patients can consult doctors about disease treatment.

[0191] Intelligent Customer Service:

[0192] Question Consultation: AI automatically answers common questions from users about property fees, driving training registration, medical appointments, etc., providing instant customer support. For example, when users ask questions about property fee payment methods, driving training exam times, hospital registration procedures, etc., AI can quickly and accurately give answers.

[0193] Life Assistant: AI provides assistance with daily tasks such as schedule management and weather queries, increasing user convenience. For property owners, AI can remind them of property fee payment dates and community activity times; for driving training students, it can remind them of driving practice times and exam dates; for healthcare and wellness patients, it can remind them of follow-up appointment times and medication times, etc.

[0194] Industry Tips: AI analyzes data related to the property management, driving training, and healthcare and wellness industries, such as property equipment and facility maintenance records, driving training exam pass rate statistics, medical examination reports, etc., helping users quickly understand key information or giving relevant reference opinions. For example, providing equipment and facility failure warning analysis to property management staff, providing exam difficulty analysis to driving training students, and interpreting the reasons for abnormal physical examination indicators and giving suggestions to healthcare and wellness patients.

[0195] IV. Member Center

[0196] As the core module for platform user management, the Member Center provides comprehensive member management functions covering the property management, driving training, and healthcare and wellness industries.

[0197] Member Management: Integrate the information of property owners, driving training students, and healthcare and wellness patients, establish a unified member profile, and record members' consumption records and service usage in the three industries.

[0198] Member Level: Based on factors such as property fee payment amounts, driving training consumption times, and healthcare and wellness consumption amounts of members, different member levels are divided. Members of different levels can enjoy different degrees of discounts and service privileges in the property management, driving training, and healthcare and wellness industries. For example, high-level members can enjoy exclusive property parking spaces, one-on-one driving training tutoring, and green channels for healthcare and wellness experts.

[0199] Member Grouping: Members are grouped and managed according to property communities, driving training schools, healthcare departments, etc., facilitating targeted marketing activities and service promotions for different groups. For example, a joint discount activity for property management and driving training is launched for the owners of a specific community, and an exclusive physical examination package for healthcare is provided for the students of a certain driving school.

[0200] Member Log: Records the operation logs of members on the property management, driving training, and healthcare industry platforms, including login time, browsing history, service appointments, etc., for analyzing member behavior and optimizing the member service experience.

[0201] Member Settings: Allows members to customize their preference settings on the property management, driving training, and healthcare industry platforms, such as the way to receive notifications, service reminder times, etc., enhancing the personalized experience of members.

[0202] Delivery Address: Manages the delivery addresses of members in scenarios such as property fee payment, driving training material purchase, and healthcare product delivery, ensuring the accurate delivery of services.

[0203] Invoice Management: Provides services for members to issue, query, and download invoices for property fees, driving training fees, medical expenses, etc., facilitating members' financial reimbursement and record-keeping.

[0204] V. Customer Service Center

[0205] The Customer Service Center is responsible for pre-sales consultation and after-sales service in the property management, driving training, and healthcare industries, providing comprehensive customer support.

[0206] Pre-sales Consultation:

[0207] Product / Service Referral: When users have questions about property value-added services, driving training courses, or healthcare products, customer service staff can refer the consultation to the corresponding industry experts or service providers, and reply to users after obtaining accurate information. For example, when a user consults about the details of property house decoration services, the customer service can refer it to the property engineering department; when a user asks about the driving skills of a specific vehicle type in driving training, the customer service can refer it to the driving training instructor; when a user consults about the efficacy of a certain drug in healthcare, the customer service can refer it to a doctor.

[0208] Consultation Queue: Establishes a consultation queue for the property management, driving training, and healthcare industries, and processes consultations according to the order and urgency of user consultations, ensuring that user consultations can be responded to in a timely manner. Priority is given to handling urgent property repair requests, urgent driving training exam consultations, medical emergency consultations, etc., to improve customer satisfaction.

[0209] After-sales Service:

[0210] Business Services: Handles business disputes in the property management, driving training, and healthcare industries, such as complaints about property service quality, refunds for driving training courses, dissatisfaction with medical services, etc., coordinates all parties to resolve problems, and safeguards the rights and interests of users.

[0211] Refund Management: In case of incorrect property fees payment, application for refund due to unfinished driving training courses, dissatisfaction with medical products, etc., handle the refund procedures for users in a timely manner according to the platform's refund policy and process to ensure the accuracy and timeliness of the refund.

[0212] Complaint Management: Receive complaints from users about the property, driving training, and health care and medical industries, record the complaint content, analyze the reasons for complaints, formulate improvement measures, and feedback to users in a timely manner to improve service quality.

[0213] Report Management: Handle reports from users about property violations, bad driving training coaches, medical fraud, etc., and conduct investigations and handling in conjunction with relevant departments to maintain a good operating environment for the platform.

[0214] Service Evaluation and Satisfaction Tracking: Collect evaluations from users on the services of the property, driving training, and health care and medical industries, track changes in user satisfaction through methods such as satisfaction questionnaires, and optimize service processes and content based on user feedback to improve user satisfaction.

[0215] VI. Commodity Service Center

[0216] The Commodity Service Center is responsible for the management of commodities and services in the property, driving training, and health care and medical industries, and realizes the integration and optimization of resources.

[0217] Commodity Service Classification: Classify and manage value-added services in the property industry, training courses in the driving training industry, and commodities and services such as drugs, medical devices, and rehabilitation services in the health care and medical industry, establish a clear commodity service catalog to facilitate user query and selection.

[0218] Commodity Service Attributes: Record in detail the attributes of commodities and services in the property, driving training, and health care and medical industries, such as the applicable communities for property services, service time, training locations for driving training courses, coach qualifications, manufacturers of health care and medical products, expiration dates, etc., to provide users with comprehensive commodity and service information and help users make purchase decisions.

[0219] Commodity Brands: Manage the cooperative brands in the property, driving training, and health care and medical industries, such as home furnishing brands cooperated with the property, car brands cooperated with driving training, and drug brands cooperated with health care and medical, to ensure the quality and reputation of commodities and services and enhance users' trust in the platform.

[0220] Commodity Mall: Build a commodity mall for the property, driving training, and health care and medical industries, display various commodities and services, and support online purchase and reservation. Users can purchase commodities such as decoration materials for the property, learning supplies for driving training, and health care products for health care and medical in the mall, and reserve services such as housekeeping services for the property, mock exams for driving training, and expert outpatient services for health care and medical, to achieve a one-stop shopping and reservation experience.

[0221] Points Mall: Integrating the member points system, a points mall is established. Users can use the points accumulated in property payments, driving training consumption, and healthcare consumption to exchange for gifts from the property, course discounts for driving training, product discounts for healthcare, etc., increasing user stickiness to the platform and consumption motivation.

[0222] VII. Transaction Center

[0223] As the core of transactions on the platform, the Transaction Center provides comprehensive payment, order management, and distribution management functions for the property, driving training, and healthcare industries.

[0224] Payment Function: Supports multiple payment methods such as WeChat Pay, Alipay, and bank card payment, facilitating users to make payments in scenarios such as property payments, driving training registration, and medical payments. At the same time, ensuring the security and stability of the payment process, using encryption technology to protect users' payment information.

[0225] Order Management: Uniformly manages orders for the property, driving training, and healthcare industries, including the entire process from order generation, review, shipping, distribution, to signing. For property payment orders, record information such as payment time, amount, and payment method; for driving training course orders, record trainee information, course arrangements, coach information, etc.; for healthcare product orders, record patient information, product name, delivery address, etc., realizing efficient order management and tracking.

[0226] Distribution Management: Formulates corresponding distribution strategies according to the different distribution requirements of the property, driving training, and healthcare industries. The distribution of property items is mainly concentrated within the community, and property-owned delivery personnel or cooperation with express delivery companies around the community can be adopted; the distribution of driving training materials and supplies can cooperate with express delivery companies to ensure timely delivery to trainees; the distribution of healthcare products needs to consider the particularity of the products, such as temperature control of drugs and packaging requirements of medical devices, and select professional medical logistics partners to ensure the quality of distribution.

[0227] Sales Revenue: Statistics on the sales revenue of the property, driving training, and healthcare industries, including property management fee income, driving training income, and medical product sales income, analyzing the revenue situation and profit contributions of each industry, providing data support for the platform's financial management and development decisions.

[0228] Points Management: Manages the points accumulated by members during the consumption process in the property, driving training, and healthcare industries, records information such as point acquisition, use, and expiration, ensuring the accuracy and fairness of points. At the same time, according to the usage of points, optimize the point policy and the product configuration in the points mall to improve the usage value of points and user participation.

[0229] VIII. Personal Center

[0230] As the core module for user personal management, the Personal Center provides comprehensive personal information management and order management functions for the property, driving training, and healthcare industries.

[0231] Personal Information: Integrate the user's personal information on the property, driving training, and healthcare industry platforms, including basic information such as name, contact information, address, etc., as well as specific information in each industry, such as property real estate information, driving training student files, and healthcare patient medical records, to facilitate users to view and update their personal information at any time.

[0232] My Orders: Display all the user's orders in the property, driving training, and healthcare industries, including orders in different states such as paid, pending shipment, shipped, and completed. Users can view order details, logistics information, evaluation entry, etc., to achieve full-process tracking and management of orders.

[0233] Shopping Cart: Users can add the goods and services they are interested in from the property, driving training, and healthcare industries to the shopping cart, which facilitates users to compare and select among different industries and improve shopping efficiency. Users can modify the quantity of goods, delete goods, settle orders, etc. in the shopping cart.

[0234] My Earnings: For users who participate in platform promotion, sharing, and other activities, display their earnings in the property, driving training, and healthcare industries, such as rewards for recommending new users to register and commissions obtained from sharing goods, to encourage users to actively participate in platform activities and expand the influence of the platform.

[0235] My Points: Display the balance of points accumulated by users in the property, driving training, and healthcare industries, record the sources of points acquisition and usage records. Users can use points to exchange for goods and services in the points mall to enhance the user's consumption experience and loyalty.

[0236] My Coupon Package: Collect various coupons obtained by users in the property, driving training, and healthcare industries, such as discount coupons, rebate coupons, experience coupons, etc. Users can view information such as the expiration date and usage conditions of the coupons to facilitate users to use coupons to enjoy discounts when consuming.

[0237] My Invoices: Provide invoice query and download services for invoices issued by users in scenarios such as property payment, driving training registration, and medical consumption, to facilitate users for financial reimbursement and record-keeping.

[0238] Refund and Rights Protection: When users encounter refund or rights protection issues in the property, driving training, and healthcare industries, provide a convenient application entry and processing process. Users can submit refund applications and upload relevant evidence materials, and the platform customer service will promptly handle the user's refund and rights protection requests to safeguard the legitimate rights and interests of users.

[0239] My Footprints: Records the browsing history and behavioral trajectories of users on the property management, driving training, and healthcare industry platforms, including the products and services browsed, search keywords, accessed pages, etc., helping users quickly review the content they are interested in and providing a basis for personalized recommendations on the platform.

[0240] My Favorites: Users can add their favorite products and services in the property management, driving training, and healthcare industries to the favorites folder, making it convenient for users to view and purchase at any time, improving the shopping convenience and satisfaction of users.

[0241] My Messages: Pushes relevant messages in the property management, driving training, and healthcare industries, such as property notices, driving training course updates, medical discount activities, etc., ensuring that users can timely obtain important information on the platform and enhancing the interactivity between users and the platform.

[0242] IX. Management Center

[0243] As the core of the platform's operation and management, the Management Center provides comprehensive system management and report management functions for the property management, driving training, and healthcare industries.

[0244] Cockpit: Displays the key operation indicators of the property management, driving training, and healthcare industries through visual charts and data dashboards, such as the property fee collection rate, the growth rate of driving training student enrollments, the number of medical outpatient visits, etc., providing an intuitive overview of the platform's operation for platform managers, helping managers grasp the operation status of the platform in real time, promptly discover problems, and make decisions.

[0245] Message Center: Publishes system announcements, activity notifications, policy changes, etc. in the property management, driving training, and healthcare industries, ensuring that platform users and staff can timely obtain important information and maintaining the smooth flow and consistency of information.

[0246] Role Permissions: According to the business needs and management requirements of the property management, driving training, and healthcare industries, different roles and permissions are set, such as property management staff, driving training coaches, medical doctors, platform operation staff, etc., clarifying the operation permissions and scope of responsibilities of each role on the platform, and ensuring the safe and stable operation of the platform.

[0247] System Management: Responsible for the daily maintenance and management of the property management, driving training, and healthcare industry systems, including system upgrades, data backups, fault troubleshooting, etc., ensuring the stability and reliability of the systems. At the same time, according to the business development needs, continuously optimize the system functions and performance to improve the user experience.

[0248] Report Management: Generate various reports for the property, driving training, and healthcare industries, such as financial reports, sales reports, operation reports, etc., to provide data support for the platform's financial management, marketing, operation management, etc. Through the analysis of report data, potential business opportunities are explored, business processes are optimized, and the overall operation efficiency and profitability of the platform are improved.

[0249] An embodiment of this application also provides a multi-industry integration Internet service method based on the foregoing multi-industry integration Internet service platform. The method specifically includes the following steps:

[0250] Step 101, Industry Data ETL and Master Data Extraction

[0251] Using the metadata management module of the data middle platform, through data standardization and data quality control, perform ETL processing on information such as data sources, database tables, and metadata, generate master data with user basic information as the core, and import it into the data operation library, data detail library, and special topic library. Provide unified data standards and specifications for each industry.

[0252] Step 102, Industry Data Application and Visualization Management

[0253] Provide a unified authentication center to achieve unified authentication of user information.

[0254] Dynamically develop API data services, generate data service documents, and perform dynamic desensitization on the returned results of API data services.

[0255] Based on the query results of SQL, provide dynamic ECharts chart configuration to achieve personalized dashboard and cool screen configuration.

[0256] Step 103, Intelligent Planning and Personalized Recommendation (AI)

[0257] Through the construction of user portraits in the AI center, analyze user behavior and provide personalized services.

[0258] Through intelligent planning, automatically generate marketing content and advertisements.

[0259] Implement intelligent recommendation, coupon push, and dynamic pricing strategy.

[0260] Connect users with domain experts to provide professional consultations and in-depth problem-solving.

[0261] Provide intelligent customer service, including question consultation, life assistant, and industry tips.

[0262] Step 104, Operation Planning and Content Management

[0263] Through the operation planning center, plan special activities and manage tweet, video, and game content.

[0264] Provide marketing strategies including coupons / codes, membership activities, sharing rewards, limited-time promotions, consumption upgrades, etc.

[0265] Step 105, Customer Service and Product Service Management

[0266] In the customer service center, handle pre-sales consultations and after-sales services, including product / service transfer inquiries, consultation queues, business services, refund management, complaint management, reporting management, service evaluation, and satisfaction tracking.

[0267] In the product service center, manage products and services, including classification, attributes, brands, shopping malls, and point malls.

[0268] Step 106, Transaction and Membership Management

[0269] In the transaction center, provide payment, order management, and delivery management functions, including payment functions, order management, delivery management, sales revenue, and point management. Membership management focuses on the management of users and industrial ecosystem services.

[0270] Step 107, Industrial Digital Integration and Value Analysis

[0271] Through the management center, data reports, cockpit, etc., monitor the integration of property industry data and other industry data. Pay attention to the coordinated development and linkage of multiple industries, realize the value of data, and drive the digital transformation of industries.

[0272] Step 108, Continuous Optimization and Iteration

[0273] According to market feedback and user needs, continuously optimize the platform functions, iterate and update to improve the user experience and platform competitiveness.

[0274] Through these steps, it is possible to achieve data integration, intelligent marketing, personalized services, and efficient operation management of multiple industries, thereby promoting the digital collaborative operation and development of multiple industries.

[0275] The following embodiments take the method provided in this application based on the multi-industry integration Internet service platform of the aforementioned data middle platform and apply it to a large diversified development group. Taking the integration and digital transformation of the property industry, driving training industry, and health care industry as an example to achieve the coordinated development of each industry, the technical solution of the multi-industry integration Internet method of this application is explained and illustrated. Its process is as Figure 3 shown, specifically including the steps:

[0276] Step 201, Industrial Data ETL and Master Data Extraction

[0277] First, with the help of the powerful metadata management module of the data middle platform, comprehensively sort out the data sources of the three major industries of property management, driving training, and health care. This includes data such as property owner information, equipment and facility management, and fee management in property management; driving school, student, and exam information in driving training; and business data such as outpatient diagnosis and treatment, health care, image pictures, and medical expense reports in the HIS, LIS, PACS, etc. systems of health care. Through a strict data standardization process, standardize data in different formats and standards. Then, combined with precise data quality control measures, comprehensively control the accuracy, integrity, and consistency of the data. On this basis, use professional ETL (Extract, Transform, Load) tools to deeply process this large amount of data and extract core master data based on users, such as the unique identifier of users, basic information, various behavior records and consumption data in the three major industries, etc. Finally, accurately store this high-value master data in the data operation library, data detail library, and special topic library, providing a solid and unified data foundation and specification for subsequent data applications and analyses in each industry, and ensuring the smooth flow and efficient utilization of data between different industries.

[0278] Step 202: Industrial data application and visualization management

[0279] At the data application level, build a powerful unified authentication center to achieve unified authentication of various user information such as property owners, driving training students, and health care patients. This enables users to easily access various services in the three major industries with one account, greatly improving the user experience. At the same time, based on the dynamic development capabilities of the data middle platform, quickly develop flexible and diverse API data services for common business scenarios such as property fee query, driving training course reservation, and medical appointment registration. To ensure data security, generate detailed data service documents and perform strict dynamic desensitization processing on the returned results of API data services to ensure that sensitive information is not leaked. In addition, use the visualization management function of the data middle platform to provide users with a dynamic ECharts chart configuration tool based on SQL query results. Users can easily add various chart components, such as multi-dimensional tables, line charts, bar charts, pie charts, radar charts, scatter plots, etc., and freely adjust the position and size of the charts through simple drag-and-drop operations to quickly build personalized data dashboards and cool screen configurations. Whether property management personnel want to keep track of the maintenance status of community equipment and facilities in real time, driving training coaches hope to understand the learning progress of students, or health care workers need to analyze patient diagnosis and treatment data, they can intuitively and efficiently obtain the required information through this visualization management tool, providing strong support for decision-making.

[0280] Step 203: Intelligent planning and personalized recommendation (AI)

[0281] The AI center will deeply mine user data to build a comprehensive user profile. By deeply analyzing the behavioral data of users in various business systems such as property payment habits, driving training progress, and medical treatment records, it accurately depicts multi-dimensional characteristics of users such as interest preferences, consumption ability, and living habits. For example, it identifies middle-aged and elderly property owners who often participate in community health lectures and are interested in health preservation products, and marks them as potential customers for high-quality health care services. Based on these detailed user profiles, the AI system can provide highly personalized services for users. In terms of intelligent marketing, according to users' behaviors and preferences, it automatically generates accurate marketing content and advertisements. For example, it pushes advertisements for car maintenance packages to driving training students with the intention of buying a car; for health care patients with chronic diseases, it recommends personalized rehabilitation treatment plans. At the same time, it realizes the intelligent recommendation function, and recommends relevant property value-added services, driving training courses, health care products or services to users according to their historical behaviors and preferences, and directly delivers the discounts to users' hands through the push of coupons. In addition, the AI system will also dynamically adjust product prices and optimize revenues based on factors such as market demand, user behaviors, and competitors' pricing. In the field of intelligent customer service, AI can automatically answer common questions of users about property payment, driving training registration, medical appointment, etc., and provide instant customer support. At the same time, as a life assistant, AI can provide assistance for daily tasks such as schedule management and weather query for users, increasing user convenience. For more professional questions, such as technical problems of property house maintenance, complex driving operations in driving training, and disease treatment questions in health care, AI will connect users with experts in the fields of property, driving training, and health care to provide users with professional consultations and in-depth question answers, enabling users to obtain professional help and suggestions at any time.

[0282] Step 204, Operation Planning and Content Management

[0283] The operation planning center will play a key role in carefully planning a series of cross-industry special activities. For example, combined with the offline scenarios of property communities, create a driving training experience day, set up a simulated driving experience area, invite professional driving training coaches to give on-site guidance, attract property owners to participate and promote driving training courses; at the same time, regularly carry out health care medical free clinic activities in the community, invite well-known doctors to provide free medical consultations and basic physical examination services for property owners, and enhance the awareness and participation of property owners in the health care medical industry. In terms of content management, establish a complete content management system for tweets, videos and games. The property team is responsible for producing content such as community life guides and introductions to property value-added services; the driving training industry produces videos and graphics such as driving skill tutorials and sharing of learning driving experiences; the health care medical industry produces content such as popular science of health preservation knowledge and interpretation of new medical technologies. Through a strict content review process, ensure that the released information is accurate and compliant, and then widely spread it through multiple channels such as the property WeChat public account, community bulletin boards, and online APPs, providing users with a rich and diverse content experience, and enhancing users' stickiness and favorability towards the platform. In addition, to promote consumption, the platform will launch a series of marketing strategies. Provide coupons / codes, such as property owners can obtain driving training course discount coupons after paying property management fees for a certain number of years; driving training students can obtain health care medical examination discount codes after passing the subject examinations; health care medical patients can enjoy discounts on property cleaning services after hospitalization. Carry out membership activities, create a membership system integrating the property, driving training and health care medical industries, and members can enjoy exclusive time-limited or quantity-limited discounts for the three industries. Implement the strategy of rewarding for sharing, encourage users to share information such as property community activities, driving training course experiences, and health care medical treatment effects through social networks, and they can obtain rewards such as property management fee deduction coupons, driving training course discount coupons, and health care medical examination discount coupons after sharing. Set time-limited promotion strategies, such as launching a time-limited discount activity for property management fees during the peak period of property fee payment; carrying out a time-limited preferential registration for driving training courses during the peak driving training enrollment season; launching a time-limited special price for physical examination packages during the off-season of health care medical services. Implement the consumption upgrade strategy, by setting up discounts or gifts after reaching the consumption amounts in the property, driving training and health care medical industries, to encourage consumers to increase the single purchase quantity and improve the average customer price.

[0284] Step 205, Customer Service and Commodity Service Management

[0285] In the customer service center, build an efficient and professional customer service team responsible for handling pre-sales consultations and after-sales services for the property, driving training, and health care industries. Establish consultation queues for the property, driving training, and health care industries and handle them in the order and urgency of user consultations to ensure that user consultations can be responded to in a timely manner. When users have questions about property value-added services, driving training courses, or health care products, customer service staff can transfer the consultations to the corresponding industry experts or service providers, obtain accurate information, and then reply to the users. At the same time, handle business disputes in the property, driving training, and health care industries, coordinate all parties to resolve problems, and safeguard the rights and interests of users. For situations such as incorrect property payments, refund applications for unfinished driving training courses, and dissatisfaction with medical products, handle the refund procedures for users in a timely manner according to the platform's refund policies and procedures. Receive complaints from users about the property, driving training, and health care industries, record the complaint content, analyze the reasons for the complaints, formulate improvement measures, and promptly feedback to the users. Handle reports from users about property violations, bad driving training coaches, medical fraud, etc., and jointly conduct investigations and handling with relevant departments. In addition, collect user evaluations of the services in the property, driving training, and health care industries, track changes in user satisfaction through methods such as satisfaction questionnaires, and optimize service processes and content based on user feedback. In the commodity service center, conduct refined management of commodities and services such as property industry value-added services, driving training industry training courses, drugs, medical devices, and rehabilitation services in the health care industry. Establish a clear commodity service classification system, clarify the SPU and SKU of each commodity and service, and detailedly record the attributes of commodities and services, such as the applicable communities and service times of property services, the training locations and coach qualifications of driving training courses, and the manufacturers and expiration dates of health care products. Manage cooperative brands to ensure the quality and reputation of commodities and services. Build commodity malls for the property, driving training, and health care industries to display various commodities and services and support online purchases and reservations. Combine with the membership point system to establish a point mall where users can use the points accumulated in their consumption in the three major industries to exchange for commodities and services, increasing user stickiness to the platform and consumption motivation.

[0286] Step 206, Transaction and Membership Management

[0287] At the trading center, a safe and convenient payment platform is provided, supporting multiple payment methods such as WeChat Pay, Alipay, bank card payment, etc., to meet the payment needs of users in scenarios such as property fees payment, driving training registration, medical fees payment, etc. At the same time, advanced encryption technology is adopted to ensure the security and stability of the payment process and protect users' payment information. A comprehensive and efficient order management system is established to uniformly manage orders in the property, driving training, and healthcare industries, covering the entire process from order generation, review, delivery, distribution, to receipt. For property payment orders, information such as payment time, amount, and payment method is recorded; for driving training course orders, trainee information, course arrangements, coach information, etc. are recorded; for healthcare product orders, patient information, product name, delivery address, etc. are recorded to achieve efficient management and tracking of orders. According to the different distribution requirements of the property, driving training, and healthcare industries, personalized distribution strategies are formulated. The distribution of property items is mainly concentrated within the community, and the property's own delivery staff or cooperation with express delivery companies around the community can be adopted; the distribution of driving training materials and supplies can cooperate with express delivery companies to ensure timely delivery to trainees; the distribution of healthcare products needs to consider the particularity of the products, such as temperature control of drugs and packaging requirements of medical devices, and professional medical logistics partners are selected to ensure the quality of distribution. The sales revenues of the three major industries are statistically analyzed, including property management fees income, driving training income, medical product sales income, etc., to analyze the income situation and profit contribution of each industry, providing data support for the platform's financial management and development decisions. At the same time, the points accumulated by members during the consumption process in the three major industries are managed, recording the sources of points acquisition and usage records to ensure the accuracy and fairness of points. In the personal center, a convenient and personalized personal management space is provided for users. The personal information of users on the property, driving training, and healthcare industry platforms is integrated, including basic information such as name, contact information, address, etc., as well as specific information in each industry, such as property real estate information, driving training trainee files, and healthcare patient medical records, to facilitate users to view and update personal information at any time. All orders of users in the three major industries are displayed, including orders in different states such as paid, to be shipped, shipped, and completed. Users can view order details, logistics information, evaluation entrances, etc. to achieve full-process tracking and management of orders. A shopping cart function is provided, allowing users to add goods and services they are interested in from the property, driving training, and healthcare industries to the shopping cart, facilitating users to compare and select among different industries and improving shopping efficiency. At the same time, users can modify the quantity of goods, delete goods, settle orders, etc. in the shopping cart. The income situation of users in the three major industries is displayed, such as rewards, commissions, etc. obtained from participating in platform promotion, sharing and other activities, to encourage users to actively participate in platform activities and expand the influence of the platform. Various coupons obtained by users in the three major industries are collected, such as discount coupons, rebate coupons, experience coupons, etc. Users can view information such as the validity period and usage conditions of the coupons to facilitate users to use the coupons to enjoy discounts when consuming.Provide invoice query and download services to facilitate users' financial reimbursement and record-keeping. Push relevant information about the three major industries, such as property notices, driving training course updates, medical preferential activities, etc., to ensure that users can obtain important information on the platform in a timely manner and enhance the interactivity between users and the platform. Record the browsing history and behavior tracks of users on the three major industry platforms, including the products and services browsed, search keywords, accessed pages, etc., to help users quickly review the content they are interested in and provide a basis for personalized recommendations on the platform. In addition, users can add their favorite products and services to the favorites folder for easy viewing and purchase, improving the shopping convenience and satisfaction of users. Finally, provide users with a message center to facilitate them to view and manage various notifications, reminders and other messages to ensure that users do not miss any important information.

[0288] Step 207, Industrial digital integration and value analysis

[0289] Monitor the integration of property industry data and other industry data through the management center, data reports, driving cabs, etc. Use the platform and method of this application to break data islands and achieve data interconnection and interoperability. Through advanced Internet operation means, deeply explore the potential value of data. For example, through the analysis of data such as users' consumption behaviors and preferences in the three major industries, provide users with more accurate personalized services and marketing recommendations, improving user satisfaction and loyalty. At the same time, based on data-driven decision support, optimize industrial operation strategies, improve resource allocation efficiency, reduce costs, thereby driving the digital transformation of the three major industries of property, driving training and health care, realizing industrial upgrading and innovative development, and creating greater economic and social value.

[0290] Step 208, Continuous optimization and iteration

[0291] Establish a perfect market feedback and user demand collection mechanism. Through various channels such as user research, online feedback, and customer service communication, widely collect market feedback and user demands. According to the information collected, regularly evaluate and optimize the functions of the platform, and continuously iterate and update to meet market changes and the increasingly diverse and personalized needs of users. At the same time, pay attention to industry development trends and technological innovations, and introduce new technologies and concepts in a timely manner to improve the technical level and innovation ability of the platform, maintain the competitiveness of the platform in the market, provide users with more high-quality, efficient and convenient services, and promote the sustainable and healthy development of the platform.

[0292] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagram may represent a module, a segment of a program, or a portion of an instruction, which contains one or more executable instructions for implementing a specified logical function. In some alternative implementations, the functions noted in the blocks may occur in a different order than that noted in the accompanying drawings. For example, two consecutive blocks may in fact be executed substantially in parallel, or they may sometimes be executed in the reverse order, depending on the functions involved. It should also be noted that each block in the block diagram and / or flowchart, and combinations of blocks in the block diagram and / or flowchart, can be implemented by a dedicated hardware-based system that performs the specified functions or actions, or by a combination of dedicated hardware and computer instructions.

[0293] Note that unless otherwise directly stated, all features disclosed in this specification (including any appended claims, abstract, and drawings) may be replaced by alternative features that serve the same, equivalent, or similar purpose. Therefore, unless otherwise clearly stated, each feature disclosed is only an example of a set of equivalent or similar features. Where used, further, preferably, furthermore, and more preferably are simple introductions for elaborating another embodiment based on the foregoing embodiments, and the content following the further, preferably, furthermore, or more preferably, in combination with the foregoing embodiments, constitutes a complete composition of another embodiment. Combinations of several further, preferably, furthermore, or more preferably settings following the same embodiment can arbitrarily form yet another embodiment.

[0294] Although the present application has been described in detail above using general descriptions and specific embodiments, modifications or improvements can be made to it on the basis of the present application, which will be obvious to those skilled in the art. Therefore, these modifications or improvements made without departing from the spirit of the present application fall within the scope of protection required by the present application.

Claims

1. A multi-industry integrated Internet service platform based on data middle platform, characterized in that: include: Data center, used for unified management and analysis of data from various industries; Operation and planning center, responsible for the marketing activities planning and content management of the platform; The AI ​​center is used to collect and pre-process the data extracted by the data center and the data generated by the platform system itself, and then construct a vector database to train and optimize the constructed intelligent recommendation model, dynamic pricing model, and intelligent customer service model, and use the constructed intelligent customer service model, intelligent recommendation model, and dynamic pricing model for intelligent marketing and intelligent customer service; Member Center, which is used to provide comprehensive member management functions; Customer service center, responsible for pre-sales consultation and after-sales service of the platform; Product service center, responsible for the management of products and services; The transaction center provides comprehensive payment, order management and delivery management functions; Personal center, used to provide personal information management and order management functions; The management center is used to provide system management and report management functions.

2. The multi-industry integrated Internet service platform based on data middle platform according to claim 1 is characterized in that: The data center specifically includes the following functions: Metadata management: manage data sources, database tables, and metadata, generate database documents, and set metadata information authority divisions; Data standard management: maintain the national standard data dictionary, compare local data with national standard data, maintain the comparison relationship and conduct statistical analysis of the comparison results; Data quality management: configure data quality rules, collect problem statistics and generate quality reports for data; Master data management: Maintain the data model and data management of master data; Data application management: Provide a unified authentication center to achieve unified authentication of user information on various platforms and production systems, dynamically develop API data services, generate data service documents, dynamically desensitize the results returned by API data services, and provide interface logs and service integration management; Visual management: Based on SQL query results, dynamic ECharts chart configuration is provided.

3. The multi-industry integrated Internet service platform based on data middle platform according to claim 1 is characterized in that: The data extracted from the data center and the data generated by the platform system itself are collected, specifically including: Collect user behavior data, product data, market data, customer service interaction data, user data, consumption data, and space data, including: User behavior data: including users’ browsing history, purchase history, search keywords, favorites, shopping cart information, and page dwell time on e-commerce platforms; Product data: including detailed information about the product, the time when the product is removed from shelves, and promotional activities. The detailed information includes name, category, price, inventory, sales volume, and reviews; Market data: including market supply and demand, competitor pricing strategies, and industry trends; Customer service interaction data: includes the conversation content between users and intelligent customer service, which includes the user's questions, the intelligent customer service's answers, and the user's feedback.

4. The multi-industry integrated Internet service platform based on data middle platform according to claim 1 is characterized in that: The preprocessing of the data extracted from the data center and the data generated by the platform system itself specifically includes: Data cleaning: remove duplicate data, process missing values, and correct erroneous data; Feature engineering: extract and transform the collected data, perform feature selection, and remove features with low correlation with the target variable; Data labeling: Label customer service interaction data to clarify the user’s intent category.

5. The multi-industry integrated Internet service platform based on data middle platform according to claim 1 is characterized in that: The constructing of the vector database specifically includes: Using the pre-trained language model, the text data is encoded into a high-dimensional vector to obtain a text vector to capture semantic information; The generated text vector is stored in the vector database Faiss.

6. The multi-industry integrated Internet service platform based on data middle platform according to claim 1 is characterized in that: The training and optimization of the constructed intelligent recommendation model, dynamic pricing model, and intelligent customer service model specifically include: The intelligent recommendation model is trained and optimized, including: Select user features, product features, and the interaction features between users and products as the input features of the model, use the user's purchase behavior as a label, build a training data set, use the XGBoost regression operator to train the model, and adjust the parameters of XGBoost to tune the model; The dynamic pricing model is trained and tuned, including: By analyzing historical sales data and market trends, the elastic demand and price sensitivity characteristics of commodities are calculated and used as the input features of the model to build a training data set. The dynamic pricing model is trained and tuned using the XGBoost regression operator. The intelligent customer service model is trained and optimized, including: Intent recognition model training: Using the labeled customer service interaction data as the training set, the intent recognition model is trained using the natural language processing capabilities of LangChain+LLaMA3 technology. Dialogue management model and response generation model training: Based on the intention recognition model, the dialogue management model and response generation model are trained in combination with the information in the vector database. Model tuning: Collect feedback data through actual interaction with users and continuously tune and update the model.

7. The multi-industry integrated Internet service platform based on data middle platform according to claim 6 is characterized in that: The intelligent customer service model, intelligent recommendation model and dynamic pricing model to be constructed are used for intelligent marketing and intelligent customer service, specifically including: Intelligent planning: Use the trained dynamic pricing model and market data analysis results to predict market demand and profit changes under different pricing strategies, provide data support for marketing planning, help formulate reasonable promotional activities and pricing strategies, and combine user portraits and consumer behavior analysis to plan personalized marketing activities, such as launching exclusive discount packages and customized product recommendation lists for different member groups; Intelligent recommendation: When users browse e-commerce platforms, the system obtains the user's current behavior and context information in real time, combines the user's historical characteristics and product characteristics, and recommends products that the user is most likely to be interested in through the trained intelligent recommendation model. It also uses the text vectors in the vector database to perform similarity search and recommend products that are similar or related to the currently browsed product. Card and coupon push: Based on the user's consumption preferences, purchase history and current marketing strategy, the intelligent recommendation model is used to predict the user's acceptance and probability of using different types of cards and coupons, and the appropriate cards and coupons are pushed to the user in combination with the user's geographic location and time information; Dynamic pricing strategy: Real-time monitoring of market supply and demand, competitor price changes, and user willingness to purchase products, inputting these data into the dynamic pricing model, which automatically adjusts product prices based on the predicted results; Build an expert database: Build an expert database that contains industry expert knowledge, experience sharing, and solutions to common problems. Vectorize the text content in the expert database using LangChain+LLaMA3 technology and store it in a vector database. Intelligent customer service: After obtaining the questions input by the user through the interactive interface, the intention recognition model is used to recognize the intention of the user's question. According to the recognized intention, the matching answer is searched in the vector database. At the same time, the dialogue management model is combined to maintain the dialogue status, generate appropriate reply content, and send it to the user through the reply generation model.

8. The multi-industry integrated Internet service platform based on data middle platform according to claim 1 is characterized in that: The member management function includes: at least one of member management, member level, member group, member log, member settings, delivery address and invoice management; The platform's pre-sales consultation and after-sales services include: pre-sales product / service inquiries, consultation queues, after-sales service support, refund management, complaint management, reporting management, service evaluation and satisfaction tracking; The management of the goods and services includes: at least one of the following: goods and service classification, goods and services, goods and service attributes, goods brands, goods malls and points malls; The payment, order management and delivery management functions include: at least one of payment function, order management, delivery management, sales revenue and points management; The personal information management and order management functions include: at least one of: personal information, my orders, shopping cart, my earnings, my points, my card and coupon package, my invoice, order refund, consumer rights protection, my footprint, my collection and my message; The system management and report management functions include: at least one of: cockpit, message center, role authority, system management and report management.

9. A multi-industry integrated Internet service method based on the multi-industry integrated Internet service platform based on the data middle platform according to any one of claims 1 to 8, characterized in that: include: Using the metadata management module of the data center, through data standardization and data quality control, ETL processing is performed on data sources, database tables, and metadata information to generate master data with user basic information as the core, and enter it into the data operation library, data detail library, and subject library; Provide a unified authentication center to achieve unified authentication of user information, dynamically develop API data services, generate data service documents, and dynamically desensitize the results returned by API data services. Based on SQL query results, provide dynamic ECharts chart configuration to achieve personalized dashboard and cool screen configuration; Through the construction of user portraits by the AI ​​center, user behavior is analyzed to provide personalized services. Through intelligent planning, marketing content and advertisements are automatically generated to achieve intelligent recommendations, card and coupon push, dynamic pricing strategies, connect users with field experts, provide professional consultation and problem solving, and provide intelligent customer service, including problem consultation, life assistant, and industry tips. Through the operation planning center, we plan special events, manage tweets, videos and game content, and provide marketing strategies including coupons / codes, membership activities, sharing gifts, limited-time promotions, and consumption upgrades; In the customer service center, pre-sales consultation and after-sales service are handled, including product / service transfer, consultation queue, business service, refund management, complaint management, report management, service evaluation and satisfaction tracking; in the product service center, products and services are managed, including classification, attributes, brand, mall, and points mall; In the transaction center, payment, order management and delivery management functions are provided, including payment functions, order management, delivery management, sales revenue and points management; Monitor the integration of property industry data and other industry data through the management center, data reports, and cockpit; Based on market feedback and user needs, we continuously optimize platform functions and update them iteratively.

10. A computer storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a machine, the steps of the method according to claim 9 are implemented.

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