Typical Workflow：

1. Order Receipt: The system obtains order information from WMS, parsing the SKU, quantity, and storage location of required case goods.
2. Robot Scheduling: Assigns corresponding robots to perform picking tasks based on goods locations and priorities.
3. Visual Positioning: The robot moves to the shelf or storage area and identifies the target goods' position and status via the vision system.
4. Grabbing and Handling: The end effector precisely grabs the case goods and moves them to the sorting station or shipping outlet.
5. Sorting and Verification: Sorts goods into different channels according to order requirements, ensuring accuracy through barcode scanning verification.
6. Data Feedback: After completing the task, the system updates inventory data and feeds back to the management platform.

Core Advantages：

• Efficiency Improvement: Compared with manual picking, efficiency can be increased by 3-5 times, supporting 24-hour continuous operation.
• High Accuracy: Visual recognition and algorithm control reduce human errors, with a picking accuracy rate of over 99.9%.
• Flexible Adaptation: Rapid switching between goods types, adapting to the "fragmented" warehousing needs of multi-variety and small-batch orders.
• Cost Reduction: Reduces labor input and intensity, with a significant long-term return on investment.

Application Scenarios：

• E-commerce Warehousing: Massive order case sorting during promotions like Double 11 and 618.
• Manufacturing Logistics: Finished product warehousing and raw material distribution at production line ends.
• Cold-Chain Logistics: Replacing manual labor in low-temperature environments (e.g., cold storage) for high-load picking tasks.
• Retail Distribution Centers: Delivering case goods to stores, supporting fast fulfillment needs like "next-day delivery."