Management System
Our team brings an average of over four years of industry experience. Backed by significant R&D investment, a new version is released every week. Each release undergoes rigorous testing, including more than 4,000 automated test cases and 24/7 endurance testing across multiple scenarios. The system is certified at CMMI Level 3 and has successfully passed penetration testing.
Supports dynamic dispatch, takeover (e.g., nearest order), reallocation, and more flexible dynamic order batching, and order details (e.g., priority, destination) can be updated during execution. The system has high availability that can handle over 1,000 orders/min and more than 10,000 orders/day.
Deep integration with M4 scripting and Falcon Task ensures smooth handling of complex workflows without multi-system switching.
It offers user management, access control, third-party login, and data export/backup capabilities.
The system features multiple built-in algorithms, such as dispatching, route planning, and traffic control, which can be flexibly switched. Proprietary MAPF algorithms significantly improve planning intelligence and reduce deadlocks. On a non-uniform, partially connected grid map, a single zone can dispatch over 100 robots of different types or more than 300 robots of the same type, with an average movement distance 30% shorter than the previous generation.
The system comprehensively supports the planning and prediction of different models in terms of turning speed, forward/reverse movement, and dynamic obstacle-avoidance planning. It can accurately control cargo orientation and support dispatching in dense storage environments.
Supports the customization of dispatch strategies (e.g., dispatch sequence), parking strategies, charging strategies, storage management, and alarm notifications to adapt to special business scenarios, such as different charging strategies for day and night shifts.
Supports batch editing of robots and maps, quick route disabling, and other quick operations, greatly improving efficiency. It supports group-based customization (e.g., point coordinates) for multi-robot consistency.
Features a modern interface with an intuitive layout, adapted to cell phones and tablets; supports mouse/touch operation and in-field maps/configurations editing directly on phones or tablets.
One-click import/export makes debugging and analysis more efficient.
No extra hardware required—standard computers can easily simulate hundreds of robots.
Powerful random ordering capability, supporting orders by group, business line, and other modes. The system supports exporting and replaying orders and can simulate real loads.
Highly realistic simulation:
Supports device simulation, such as doors and elevators.
In discussions with users, the most common expectation is 'intelligence'. However, the meaning of 'intelligence' is broad, and sometimes even contradictory. For some users, 'intelligence' means powerful functionality: their projects are complex, with multiple robot types and diverse workflows, and they expect the system to handle all kinds of transport tasks.
For others, 'intelligence' means ease of use: minimal setup, minimal daily maintenance, ideally a system that can run robots 24/7 with little to no human intervention. 'Powerful functionality' and 'ease of use' are often conflicting priorities.
Similarly, achieving the 'optimal' result usually requires higher computational effort, latency, and expensive hardware—contradicting low-cost expectations. And above all, these demands often conflict with 'stability.' No product is ever 100% stable; the more features and complexity a system carries, the harder it is to maintain stability. This isn't merely a matter of capability, but about the current stage of technological development—it is not a matter of 'the bolder the ambition, the greater the output.'
For non-expert users, it is difficult to clearly define their needs for a dispatch system at the start of a project. During product selection and related decisions (such as business process planning and on-site traffic flow), misunderstandings can easily arise, leading to losses later. A common mistake is to oversimplify the problem or to overestimate the intelligence of robots and dispatch systems. Just as one must spend time learning to use a computer or office software, implementing robots and dispatch systems also requires a thorough understanding of the product. Otherwise, whether expectations are overly optimistic or overly pessimistic, users ultimately need to bear the consequences.
The reality is: today's robots and dispatch systems are neither as 'intelligent' as some imagine, nor as unreliable as others fear. By balancing requirements with product capabilities, in most scenarios, robots and dispatch systems can meet customer needs and deliver a superior ROI compared with other approaches.
