Design and Implementation of Autonomous Code Sweeping Inventory System for Logistics and Warehousing Scenarios

In modern logistics warehousing management, inventory efficiency and accuracy are of great significance to improve the efficiency of warehousing operations and reduce management costs. Logistics warehousing is a modern management mode based on self-built or leased warehouses and venues, which can not only store, keep, load, unload and handle, distribute and transport goods, but also realize quantity management and quality management. The traditional manual inventory method is time-consuming and labor-intensive, and prone to human error, which is difficult to meet the needs of efficient and accurate warehouse management. This paper designs and implements an autonomous code-sweeping inventory system for logistics warehousing scenarios, using automatic code-sweeping technology to achieve rapid identification of goods and data collection, combined with real-time data transmission and synchronization mechanisms to ensure the timeliness and accuracy of inventory data. As the operation of modern logistics and warehousing is more complicated, in order to better achieve the goal, it is necessary to make full use of scientific management theory and modern technology, and constantly explore and practice. The system adopts a modular design, containing functional modules such as code scanning recognition, data processing, real-time transmission and user interaction, and realizes full integration from hardware to software. After testing and verification in the actual warehouse environment, the system shows significant advantages in inventory efficiency, data accuracy and user experience, which helps to improve the automation and intelligence of warehouse management.