Smart Warehouse using 70 units of Geek+ P800 (AMR)

Industry > LogisticsApplication > LogisticsSector > Logistics

This application case features a large-scale automated picking and replenishment system utilizing 70 units of Geek+ P800 mobile robots. By implementing a "Goods-to-Person" (GTP) model, the system optimizes warehouse layouts based on frequency of use through self-learning algorithms, maximizing storage density and operational efficiency in a compact space.

Components

Robot	Robot: Geek+ P800 (70 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 just a 10-minute charge. Operating Temp: -20°C to 50°C (Suitable for cold storage).

Workflow

STEP 1.	[Picking Process]
STEP 2.	Order Entry: Orders are received and processed by 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 items from the rack brought by the robot.
STEP 6.	Return: Robots return the racks to their optimal storage positions. [Replenishment Process]
STEP 7.	Restock Request: A replenishment order is initiated for low-stock items.
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.
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

Efficient Logistics Ecosystem: Enables the construction of high-efficiency fulfillment centers even within compact warehouse footprints.
Smart Layout Optimization: Automatically optimizes storage locations based on SKU movement frequency to minimize picking and replenishment times.
Heavy-Duty Handling: Capable of transporting heavy loads of up to 1,000kg.
Operational Versatility: Supports hybrid operations including both pallet-based and shelf-based handling.
Flexible Picking Modes: Adaptive to various workflows such as discrete order picking or batch (total) 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 and maximizes operational efficiency through professional maintenance and support.
Large-Scale Fleet Management: Proven capability to optimally manage and coordinate massive fleets of over 100 robots.
24/7 Productivity: Continuous day-and-night operation enabled by an automated self-charging system.

High Stability and Global Reliability

Proven Track Record: Hardware and software reliability are guaranteed by a global installation base of over 10,000 units worldwide.

Implementation Results

ROI Period	24 months
Key Metrics	3x Increase in average daily order fulfillment volume. 300% to 700% Improvement in picking efficiency (Average picking capacity increased from 100 to 300+ units per hour per station). 40% Increase in total storage capacity within the same footprint. Peak Performance: Capable of reaching up to 600 picks per station per hour. 50% Overall Productivity Boost across the entire warehouse facility.
Client Feedback	By implementing the Geek+ solution, we significantly expanded our storage capacity and achieved a major leap in productivity thanks to the rapid picking performance.