<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Aiming at the problems of single function, low service level and difficult to meet customers’ demand for warehousing business in warehouse management system, a collaborative filtering recommendation algorithm is proposed. The algorithm calculates the similarity between items by analyzing user’s consumption behavior records, finds similar items to ‘target user’s favorite items, recommends similar items to ‘target user’, and designs commodity recommendation function for customer preferences, so as to improve user satisfaction and commodity sales efficiency. In order to provide users with better service experience and make the system operators easy to use, it is proposed to use B / S architecture and MVC framework model to design four modules : user management, allocation management, warehouse information management and report management, and to establish the corresponding database for unified management. Finally, the intelligent warehouse management system with high user experience satisfaction and convenient background management operation is obtained.</p>
</abstract>

Aiming at the problems of single function, low service level and difficult to meet customers’ demand for warehousing business in warehouse management system, a collaborative filtering recommendation algorithm is proposed. The algorithm calculates the similarity between items by analyzing user’s consumption behavior records, finds similar items to ‘target user’s favorite items, recommends similar items to ‘target user’, and designs commodity recommendation function for customer preferences, so as to improve user satisfaction and commodity sales efficiency. In order to provide users with better service experience and make the system operators easy to use, it is proposed to use B / S architecture and MVC framework model to design four modules : user management, allocation management, warehouse information management and report management, and to establish the corresponding database for unified management. Finally, the intelligent warehouse management system with high user experience satisfaction and convenient background management operation is obtained.

Design of Intelligent Warehouse Management System Based on MVC

International Journal of Advanced Network, Monitoring and Controls

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"Design of Intelligent Warehouse Management System Based on MVC"}

Aiming at the problems of single function, low service level and difficult to meet customers’ demand for warehousing business in warehouse management system, a...

Name	Database table name
user message table	table_user
Institutional information table	table_organization
System menu table	table_menu
Role Information Table	table_role
Role permissions table	table_rolepower
Commodity inventory table	table_inventory
Product catalog table	table_categories
Commodity Type Maintenance Table	table_assert
Position information registration form	table_register
Outbound and Inbound Pre-audit Form	table_check
Commodity order flow table	table_order
system parameter table	table_parameter
Business Parameter Table	table_ BizParam

Design of Intelligent Warehouse Management System Based on MVC

Published Online: Feb 21, 2022

Page range: 79 - 87

DOI: https://doi.org/10.21307/ijanmc-2021-020

Keywords
Intelligent Warehousing, Collaborative Filtering Recommendation, MVC, Commodity Recommendation, Warehouse Management System

© 2021 Ping Lu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1.

Figure 2.

Figure 3.

Figure 4.

Figure 5.

Figure 6.

LISTOFDATABASE TABLES

Design of Intelligent Warehouse Management System Based on MVC

Published Online: Feb 21, 2022

Page range: 79 - 87

DOI: https://doi.org/10.21307/ijanmc-2021-020

KeywordsIntelligent Warehousing, Collaborative Filtering Recommendation, MVC, Commodity Recommendation, Warehouse Management System

© 2021 Ping Lu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1.

Figure 2.

Figure 3.

Figure 4.

Figure 5.

Figure 6.

LISTOFDATABASE TABLES

Keywords
Intelligent Warehousing, Collaborative Filtering Recommendation, MVC, Commodity Recommendation, Warehouse Management System