Digital operation management platform of shopping center
By designing a shopping center digital operation management platform, the problems of untimely data handover and data vulnerability in the traditional management model are solved, efficient and convenient data handover and safe and reliable storage of data are achieved, and the operational efficiency and customer satisfaction of the shopping center are improved.
Patent Information
- Application Number
- CN202411827499.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-12
- Publication Date
- 2025-03-25
AI Technical Summary
In the traditional shopping center management model, data handover is not timely, information synchronization is delayed, data is easily lost or tampered, resulting in tenant management not being closed, information transmission is not instant, and there are omissions.
Design a shopping center digital operation management platform, adopting React or Vue modern front-end framework, Spring Boot or Django back-end framework, MySQL or MongoDB database management system, combining cloud computing and infrastructure layer to achieve front-end separation, data storage and cloud backup, ensuring efficient and convenient data handover and security and reliability.
It has achieved efficient and convenient data handover, accurate confirmation process, and long-term storage of data are safe and reliable, and has built a transparent and efficient cooperative relationship between tenants and shopping mall managers, improving the operational efficiency and customer satisfaction of shopping centers.
Smart Images
Figure CN119693092A_ABST
Abstract
Description
Technical Field
[0001] The present application belongs to the field of shopping center data management technology, and specifically is a digital operation and management platform for shopping centers. Background Art
[0002] In recent years, with the development of the Internet, software has replaced the development of offline management capabilities, replaced the development of traditional industries, and replaced the ability of manual data analysis, thus developing a digital operation platform solution for shopping malls. The traditional paper document handover method is time-consuming and prone to delayed handover due to human factors (such as forgetfulness and delay). If the electronic handover method lacks efficient system support, there may also be problems with information synchronization delays.
[0003] Paper documents may be blurred, omitted or tampered with during multiple copying or transmission. Electronic documents are also at risk of being altered or mistransmitted if they are not strictly reviewed and verified. Paper documents are susceptible to moisture, damage or loss, making them difficult to preserve for a long time. Although electronic documents are easy to store, they may also face the risk of data loss if there is a lack of backup and recovery mechanisms.
[0004] Under the traditional management model, tenant management cannot form a closed loop, resulting in incomplete or lost information, as well as untimely communication of information between shopping malls and merchants, and omissions.
[0005] Therefore, there is an urgent need for a management platform that can solve the above problems. Summary of the invention
[0006] 1. Technical issues of this application: In order to make up for the deficiencies of the prior art and solve the above-mentioned technical problems, the present application proposes a digital operation and management platform for a shopping mall, which can improve the management efficiency of the shopping mall.
[0007] (II) The specific structure of the technical solution of this application includes: Shopping center digital operation and management platform, including: A front-end user interface, which is built using a modern front-end framework such as React or Vue to provide a user interface; Backend service layer, which uses Spring Boot or Django backend framework to build RESTful API interface and realize front-end and back-end separation; The database layer uses MySQL or MongoDB database management system to store user information, merchant data, and sales record information.
[0008] As the preferred technical solution of the previous step, the management platform also includes a cloud computing and infrastructure layer, which uses Docker and Kubernetes containerization technologies to improve resource utilization and deployment efficiency.
[0009] As the preferred technical solution in the previous step, the cloud computing and infrastructure layer is one or more of Alibaba Cloud, Tencent Cloud, Huawei Cloud, Baidu Cloud, JD Cloud, Inspur Cloud, and Kingsoft Cloud.
[0010] As the preferred technical solution in the previous step, the cloud computing and infrastructure layer can also be deployed based on a private cloud or a hybrid cloud to meet specific security and privacy protection requirements; or, the cloud computing and infrastructure layer is developed using a Serverless architecture (such as AWS Lambda).
[0011] As a preferred technical solution of the previous step, the front-end user interface includes: WEB management terminal, which includes a tenant management module, a shopping mall management module, an operation management module, a document library management module and a work order management module; The merchant APP terminal includes a work order module, a business report module, and a message module; The business management APP end includes a workbench module, a tenant module, a management center module, and a document library module.
[0012] As the preferred technical solution of the previous step, the front-end user interface can also be developed using an alternative version of Angular or Vue.js, namely Vue 3, to achieve a responsive interface effect; or, the front-end user interface develops a native mobile application using the native development language Swift (iOS) or Kotlin (Android).
[0013] As the preferred technical solution of the previous step, the back-end service layer can also use the JavaScript back-end framework of Node.js or Express to achieve front-end and back-end isomorphism; or, the back-end service layer adopts a microservice architecture to split the back-end service into several independent services to improve the scalability and fault tolerance of the system.
[0014] As the preferred technical solution of the previous step, the database layer can also use PostgreSQL or Cassandra database management system to meet data storage and query requirements; or, the database layer uses a distributed database or NoSQL database to support data storage and query.
[0015] As the preferred technical solution of the previous step, the management platform also includes a big data and AI layer, which integrates Hadoop and Spark big data processing frameworks, and applies TensorFlow and PyTorch AI frameworks for model training and deployment to realize data analysis and personalized recommendation functions.
[0016] As the preferred technical solution in the previous step, the big data and AI layer can also use Spark MLlib or Scikit-learn machine learning libraries to implement data analysis and prediction functions; or, the big data and AI layer uses a deep learning framework (such as MXNet or Caffe) to support model training and deployment.
[0017] (III) The beneficial effects of this application include at least the following: Through technological innovation, the digital operation platform solution for shopping malls in this application has achieved efficient and convenient data handover, accurate confirmation process, and safe and reliable long-term storage, building a more transparent and efficient cooperative relationship between tenants and mall managers, and promoting the overall operational efficiency and customer satisfaction of shopping malls.
[0018] The beneficial effects of the present application further include the following: This application has a unique system integration framework: innovative application of the TCS framework in the operation of the shopping mall's digital operation platform; intelligent work order system control: real-time monitoring and unified control of tenant operations through a central data system; user experience optimization: flexible adjustments based on user needs and market changes to improve user experience. BRIEF DESCRIPTION OF THE DRAWINGS
[0019] The present application will be further described below in conjunction with the accompanying drawings.
[0020] Figure 1 It is a schematic diagram of the structural framework of this application; Figure 2 This is a schematic diagram of the structure of the application work order processing flow; Figure 3 This is a diagram of the business process structure initiated by the tenant of this application. DETAILED DESCRIPTION
[0021] In order to make the technical means, creative features, objectives and effects achieved by this application easy to understand, this application is further explained below in conjunction with specific implementation methods. Example
[0022] like Figure 1As shown, the digital operation and management platform of the shopping mall of the present application includes: a front-end user interface, a back-end service layer and a database layer. Among them, the front-end user interface of the present application is built with the Vue modern front-end framework to provide a user interface; alternative versions of Angular or Vue.js can also be used. Preferably, the alternative version can choose React or Vue 3 for development to achieve responsive interface effects; or, the front-end user interface of the present application develops native mobile applications, preferably, using Swift such as iOS or using Kotlin such as Android and other native development languages for development. The back-end service layer of the present application uses Spring Boot or Django back-end frameworks to build a RESTful API interface to achieve front-end and back-end separation, which is used to improve the scalability and maintainability of the system; preferably, the back-end service layer of the present application can also use JavaScript back-end frameworks such as Node.js or Express to achieve front-end and back-end isomorphism and simplify the development process; or, the back-end service layer adopts a microservice architecture to split the back-end service into several independent services to improve the scalability and fault tolerance of the system. The database layer of the present application adopts a database management system such as MySQL or MongoDB to store user information, merchant data, and sales record information. Preferably, the present application also uses caching technologies such as Redis to increase data access speed.
[0023] As a preferred implementation method of the previous step, the management platform of the present application also includes a cloud computing and infrastructure layer, wherein the cloud computing and infrastructure layer utilizes Docker and Kubernetes containerization technologies to improve resource utilization and deployment efficiency. Preferably, the cloud computing and infrastructure layer of the present application is one or more of Alibaba Cloud, Tencent Cloud, Huawei Cloud, Baidu Cloud, JD Cloud, Inspur Cloud, and Kingsoft Cloud. Preferably, the cloud computing and infrastructure layer of the present application can also be deployed based on a private cloud or a hybrid cloud to meet specific security and privacy protection requirements; or, the cloud computing and infrastructure layer of the present application is developed using a Serverless architecture (such as AWS Lambda) to reduce operation and maintenance costs and improve resource utilization.
[0024] As a preferred implementation of the previous step, the front-end user interface of this application includes: WEB management terminal, which includes tenant management module, shopping mall management module, operation management module, document library management module and work order management module; Merchant APP side, where the merchant APP side includes work order module, business report module, and message module; Business management APP, which includes workbench module, tenant module, management center module and document library module.
[0025] As a preferred implementation of the previous step, the database layer of the present application can also use PostgreSQL or Cassandra database management systems to meet data storage and query requirements; or, the database layer of the present application uses a distributed database or NoSQL database to support the storage and efficient query of massive data.
[0026] As a preferred implementation of the previous step, the management platform of the present application also includes a big data and AI layer. The big data and AI layer of the present application integrates Hadoop and Spark big data processing frameworks, and applies TensorFlow and PyTorch AI frameworks for model training and deployment to realize data analysis and personalized recommendation functions. Preferably, the big data and AI layer of the present application can also use Spark MLlib or Scikit-learn machine learning libraries to realize data analysis and prediction functions; or, the big data and AI layer of the present application adopts a deep learning framework, such as MXNet or Caffe, to support model training and deployment.
[0027] The platform allows tenants and managers to communicate online about the content of the data, and quickly clarify questions through annotations, comments, etc., to ensure that both parties have a consistent understanding of the content of the data. All data is stored on a secure and reliable cloud server, which not only saves physical storage space, but also avoids data loss due to natural disasters, equipment failures, etc. A strict permission classification system is implemented to ensure that only authorized personnel can access specific data and protect sensitive information security. At the same time, each access and modification operation is recorded for easy auditing and tracing. Data is automatically backed up to a remote disaster recovery center on a regular basis, and a detailed data recovery plan is formulated to ensure that data can be quickly restored in extreme cases to ensure business continuity. Example
[0028] like Figure 2 As shown, the system is completed by the mall manager in the PC management end tenant management to fill in the basic information of the tenant's check-in, create the information of each tenant's store manager, and the store manager of each merchant logs in to the tenant management end application, so that the tenant can upload various information, and the business management personnel can view the information of each tenant in time. If there is a problem with the information uploaded by the tenant, the manager responsible for each tenant will send feedback to the tenant on the mobile phone, so that the store manager or employee of the tenant will receive the corresponding information and then make corrections to the information. This is a closed loop of basic information between the mall and the merchant. The most basic information improvement process is easier than collecting information offline, and it is not easy to lose. The original intention of the system is to make coordination between the mall and the merchant easier and improve work efficiency. Example
[0029] like Figure 3As shown, tenants can initiate various business processes, such as design plans, construction drawings, decoration entry, hidden project acceptance, completion acceptance, decoration deposit refund, construction pass, etc. The business management can see and review the process in time, so that the work efficiency of tenants and business management can be improved. This shopping mall work order management system realizes the full process automation management of work orders by integrating the shopping mall WEB management terminal, business management APP terminal, merchant APP terminal and other related ports. The system has an intuitive operation interface, convenient information entry and reading methods, a complete tracking and feedback mechanism, and reliable security measures, which will significantly improve the mall's operating efficiency and customer satisfaction.
[0030] In the description of this application, it should be noted that the terms "center", "longitudinal", "lateral", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside" and the like indicate directions or positional relationships based on the attached Figure 1 The orientation or positional relationship shown is only for the convenience of describing the present application and simplifying the description, and does not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operate in a specific orientation. Therefore, it cannot be understood as limiting the scope of protection of the present application. In addition, the terms "first", "second", "third", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance.
[0031] The above shows and describes the basic principles, main features and advantages of the present application. Those skilled in the art should understand that the present application is not limited by the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present application. Without departing from the spirit and scope of the present application, the present application may have various changes and improvements, which fall within the scope of the present application to be protected. The scope of protection claimed in the present application is defined by the attached claims and their equivalents.
Claims
1. Shopping center digital operation and management platform, characterized by: include: A front-end user interface, which is built using a modern front-end framework such as React or Vue to provide a user interface; Backend service layer, which uses Spring Boot or Django backend framework to build RESTful API interface and realize front-end and back-end separation; The database layer uses MySQL or MongoDB database management system to store user information, merchant data, and sales record information.
2. The digital operation and management platform for a shopping center according to claim 1, characterized in that: The management platform also includes a cloud computing and infrastructure layer, which utilizes Docker and Kubernetes containerization technologies.
3. The digital operation and management platform for a shopping center according to claim 2 is characterized by: The cloud computing and infrastructure layer is one or more of Alibaba Cloud, Tencent Cloud, Huawei Cloud, Baidu Cloud, JD Cloud, Inspur Cloud, and Kingsoft Cloud.
4. The digital operation and management platform for a shopping center according to claim 2 or 3, characterized in that: The cloud computing and infrastructure layer can also be deployed based on a private cloud or a hybrid cloud to meet security and privacy protection requirements; or, the cloud computing and infrastructure layer can be developed using a Serverless architecture.
5. The digital operation and management platform for a shopping center according to claim 1, characterized in that: The front-end user interface comprises: WEB management terminal, which includes a tenant management module, a shopping mall management module, an operation management module, a document library management module and a work order management module; The merchant APP terminal includes a work order module, a business report module, and a message module; The business management APP end includes a workbench module, a tenant module, a management center module, and a document library module.
6. The digital operation and management platform for a shopping center according to claim 1 or 5, characterized in that: The front-end user interface can also be developed using an alternative version of Angular or Vue.js to achieve a responsive interface effect; or, the front-end user interface develops a native mobile application using Swift or Kotlin native development languages.
7. The digital operation and management platform for a shopping center according to claim 1, characterized in that: The backend service layer can also use the JavaScript backend framework of Node.js or Express to achieve front-end and back-end isomorphism; or, the backend service layer adopts a microservice architecture to split the backend service into several independent services to improve the scalability and fault tolerance of the system.
8. The digital operation and management platform for a shopping center according to claim 1, characterized in that: The database layer may also use PostgreSQL or Cassandra database management systems to meet data storage and query requirements; or, the database layer may use a distributed database or a NoSQL database to support data storage and query.
9. The digital operation and management platform for a shopping mall according to claim 1, characterized in that: The management platform also includes a big data and AI layer, which integrates Hadoop and Spark big data processing frameworks, and applies TensorFlow and PyTorch AI frameworks for model training and deployment to realize data analysis and personalized recommendation functions.
10. The digital operation and management platform for a shopping center according to claim 9, characterized in that: The big data and AI layer may also use Spark MLlib or Scikit-learn machine learning libraries to implement data analysis and prediction functions; or, the big data and AI layer may use a deep learning framework to support model training and deployment.