Process layout
This application case features an automated picking and replenishment system utilizing 15 Geek+ P800 mobile robots within an e-commerce fulfillment center. By integrating specialized picking and replenishment stations, the system uses self-learning algorithms to optimize warehouse layouts based on SKU movement frequency, maximizing storage density and operational efficiency in a compact space.
Components
| Robot |
|
|---|
Workflow
| STEP 1. | [Picking Process] |
|---|---|
| STEP 2. | Order Entry: Online orders are received and entered into the system. |
| STEP 3. | Targeting: Robots navigate to the specific racks containing the ordered items. |
| STEP 4. | Transport: Robots lift the racks and move them to the designated picking station. |
| STEP 5. | Item Picking: Workers pick the required items from the delivered rack. |
| STEP 6. | Return: Robots return the racks to their optimized storage positions. [Replenishment Process] |
| STEP 7. | Restock Request: A replenishment order is initiated for stock. |
| STEP 8. | Rack Retrieval: Robots move to the corresponding storage racks. |
| STEP 9. | Inbound Flow: Robots carry the racks to the replenishment station. |
| STEP 10. | Loading: New stock is loaded onto the racks by workers. |
| STEP 11. | Final Placement: Robots transport the replenished racks back to the storage area. |
Features
Exceptional Performance & Maximized Space Utilization
Compact Efficiency: Build a high-performance logistics center even within limited footprints by utilizing space-saving mobile robot technology.
Intelligent Storage Optimization: Automatically reconfigures storage layouts based on SKU movement frequency to minimize travel time for both picking and replenishment.
Heavy-Duty Handling: Robustly transports heavy loads up to 1,000kg.
Operational Versatility: Supports a hybrid mix of pallet and rack-based workflows.
Flexible Picking Strategies: Adaptable to multiple methods, including discrete order picking and total (batch) picking.
High Throughput: Achieves a picking rate of 300 to 600 pieces per hour per worker.
Minimized Investment & Operational Excellence
RaaS (Robots-as-a-Service) Model: Minimizes initial CAPEX while maximizing uptime through professional maintenance and service-based operation.
Massive Fleet Management: Advanced technology capable of coordinating and optimizing fleets of over 100 units simultaneously.
24/7 Productivity: Automated self-charging ensures non-stop, day-and-night operation.
High Stability and Global Reliability
Proven Track Record: Reliability is guaranteed by a global installation base of over 10,000 units operating worldwide.
Results
| Key Benefits | Storage Efficiency: Significant increase in inventory density within the existing footprint.
Time Optimization: Drastic reduction in lead times for both restocking and picking processes.
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|---|---|
| Client Feedback | By implementing the Geek+ solution, we reduced our storage footprint by 30% and successfully gained the capacity to rapidly process approximately 300,000 orders per day. |

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