Smart E-commerce Logistics using 15 units of Geek+ P800 (AMR)

Industry > LogisticsApplication > LogisticsSector > Logistics

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	Robot: Geek+ P800 (15 Units) Max Payload: 1,000kg Speed: 2.0m/s (Empty) / 1.6m/s (Full load) Navigation: Inertial Sensor + QR Code Dimensions: L1090 x W830 x H275 mm / Weight: 195kg Lifting Height: 60mm / Stop Accuracy: ±10mm Efficiency: 2–3 hours of operation with a 10-minute charge. Operating Temp: -20°C to 50°C.

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.

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Key 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.

Implementation Results

ROI Period	24 months
Key Metrics	Storage Efficiency: Significant increase in inventory density within the existing footprint. Time Optimization: Drastic reduction in lead times for both restocking and picking processes.
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.