Product recognition
Assesses size, shape, packaging and grasp difficulty.
Multi-agent hierarchical robotic operating system
Why traditional automation has limits
One picking system cannot handle every product
Products in a warehouse vary widely in size, weight, shape, packaging and order frequency.
Using high-spec robots for everything drives up equipment cost and wastes capacity. Relying entirely on people makes it hard to meet targets for throughput, stability and scale.
Ferrata takes a different approach: break down the complexity
AI identifies and layers products and tasks, allowing each execution unit to focus on the work it does best. The result is a more flexible and economical automated picking system.
- Order / SKU
- AI task recognition
- Intelligent layering
- Optimal execution unit
Level 1 High-efficiency automated picking
Rules-based, standard and easy-to-grasp products are handled by cost-effective robots for high-frequency picking.
Best for: standard packaging / high-frequency SKUs / regular cartons
Value: carries the main picking volume and maximizes automation ROI
Software orchestration hub
AI decisions route every task to its optimal execution unit.Ferrata does not rely on fixed task-allocation rules.
The system combines SKU characteristics, order priority, equipment capability,
current load and execution history to judge and orchestrate every task:
- Identify
- Assess
- Match
- Dispatch
- Optimize
Intelligent task layering
Separates standard, complex and exception tasks automatically.
Dynamic resource dispatch
Assigns work to the most suitable robot or workstation based on live load.
Continuous optimization
Uses execution data to improve task strategy and equipment utilization.
Solution value
Instead of asking one robot to solve everything,the whole system solves every task in the best possible way.
Broader automation coverage
Robots with different capabilities work together across more SKU types.
Higher equipment utilization
Each asset focuses on the tasks it handles most efficiently.
Lower total investment
Avoid over-provisioning costly equipment for a small number of complex items.
Greater business flexibility
Adapt to new, irregular and changing products without redesigning the system.