Fusion Java backend website content management system v3.2.1

Rongcheng Java backend website content management system is a powerful content management system developed based on Java language. It has successfully implemented a large-scale website system that can manage complex multi-level pages and columns including corporate official websites, portal sites, picture and video software upload and download websites, blog websites, e-commerce shopping websites, logistics management websites, etc., while making the software simple It is easy to learn and operate. It also has shopping modules such as product management, order management, logistics management and comment management. It also has website data statistical analysis functions such as UV visitor analysis, PV traffic analysis, keyword analysis, click popularity analysis, etc. This software has A strong competitive advantage.

Integrate features and innovations of Java backend website content management system

1. The overall software system is designed using the recommendation management idea, which realizes the cyclic call of the front-end web page. At the same time, it avoids many complex and cumbersome settings such as the establishment of product models and attribute settings of traditional content management systems, making this software simple and easy to use. Easy to operate, this is also one of the biggest features and innovations implemented in this version;

2. Added hierarchical management of ordinary administrators and ordinary users, as well as multi-group user management and information management functions;

3. Column management realizes multi-level addition, deletion, modification and query, and can manage large-scale website systems with complex multi-level pages and multi-level columns; content management is divided into ordinary page content management, picture file management, video file management and product page management, which can realize ordinary page content management, picture file management, video file management and product page management. Management of most types of sites such as corporate official websites, portal sites, picture and video software upload and download sites, blog sites, e-commerce shopping sites, logistics management sites, etc.;

4. Added announcement management functions and message management functions; realizing information communication between customers and customer service on the web front-end page.

5. It has a shopping management module, including customer management, sender management, category management, product management, order management, logistics management and comment management on product pages; some functions can be customized and developed according to user needs;

6. It can realize the delivery management of goods from multiple warehouses after customers place orders on the web front-end product page;

7. Achieved API interface docking with 104 major domestic express logistics systems such as SF Express, EMS, ZTO, STO, YTO, Yunda, etc. Customers can query and track the logistics status of the order in real time after placing an order;

8. The comment management part implements the product comment function of customers' shopping users.

9. Add a website data analysis module, including overall visit overview, real-time visitor data, traffic management, page analysis, keyword analysis and other functions to achieve basic positioning analysis of website visitors; some functions can be customized and developed according to user needs;

10. The overall access overview can view UV and PV data for the day, 7 days, 30 days, this year and a certain time period;

11. The real-time data module can view a variety of information such as a visitor's visitor IP, visitor location, inbound source information, page visits, current status, visitor system version, browser version, visitor's click, favorite, and follow behavior;

12. Visitor analysis can check information such as the source region and proportion of visitors;

13. Traffic analysis can view visitor statistics for each day of the week;

14. Page analysis can check the access statistics of a certain page, and then learn the popularity of access to a certain page;

15. Column click popularity analysis can check the click popularity of a certain web page, and then learn how much visitors like a certain column;

16. Source keyword analysis can check the source keywords of popular searches for visitors entering the site, as well as statistical information such as changes in search volume of source keywords, and learn the search engine performance of the visited site;

17. Search keyword analysis can check the popular keywords that customers search on the site, as well as the changes in search volume of search keywords, and learn about customers' concerns.

Screenshot of Rongcheng Java backend website content management system

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