The system can provide simulated videos and reports based on pattern recognition and a wealth of data from prior application scenarios to ensure the best-suited solution, which can boost storage efficiency, reduce costs, and increase throughput. In smart moving applications, Quicktron robots can also effectively coordinate with other equipment. We have already completed the Industry’s first 60,000m² facility simulation successfully.
Enhanced efficiency across resource allocation, inventory distribution, multiple equipment coordination, traffic control and other processes.
Real-time monitoring of task execution efficiency, hardware, and traffic status.
Interactive and user-friendly interface makes the data navigation and control much easier.
In 2020, Quicktron introduced industry-leading dispatching algorithm, which enables comprehensive operation of robots at multiple locations within the same facility.
With the combination of heuristic and exact integer algorithms, Quicktron executes seamless coordination among hundreds of robots performing tasks simultaneously. Additionally, in QuickPick application scenarios, two different types of robots efficiently work together and in smart moving applications, Quicktron robots also effectively coordinate with other equipment.
The system predicts the future demand by analyzing order history to determine the optimal location for shelves and bins. Optimized storage shortens the distance to workstation, enhancing picking efficiency.
Analysis of product size, SKU frequency, and other order parameters allows the better storage space management and inventory diversification.
Centralized storage of related goods
The system analyzes outgoing orders to group related goods, enhancing shelf hit rate.
Based on order and SKU correlation analysis, the system generates optimal order waves for picking one order at a time or multiple orders simultaneously.
Dynamic task allocation reduces robot detours and idle time, enhancing overall productivity.Robots follow one another in 1-2 seconds interval saving the operator’s waiting time.
To maximize the traffic efficiency and ensuring seamless high-speed operations, the shortest optimal path is planned for each robot, which immediately switches to re-planning mode in case of any irregularity.