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PICKING

Top-10 E-Commerce Fulfillment Center, South China

600 Orders/Hour Achieved with RoboLyne G2P Picking System

From 220 orders/hour to 600 — how a goods-to-person AGV system tripled picking throughput with 99.1% accuracy.

Throughput

600/hr

Accuracy

99.1%

Pick Rate

3x

Deployment

14 Days

Client Background

Operating out of a massive 500,000 sq ft facility in South China, this Top-10 E-Commerce giant faced unprecedented growth. The regional boom in online retail led to a 300% surge in daily SKUs processed, straining their existing manual fulfillment infrastructure.

The picking floor complexity was compounding. With thousands of fast-moving consumer goods requiring rapid turnaround to meet next-day delivery promises, human operators were spending 70% of their shift walking between storage racks rather than actively picking.

Facility Profile

  • Industry E-Commerce Retail
  • Region South China
  • Daily Orders 50,000+ Average

The Challenge

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Peak Season Surges

Inability to scale manual labor fast enough during 11.11 and Holiday peaks.

error

$2M/yr in Manual Errors

High mispick rates due to fatigue leading to costly reverse logistics.

api

Siloed Legacy WMS

Existing Kingdee WMS lacked real-time visibility into floor operations.

speed

Stagnant Pick Rate

Hard cap at 220 orders/hour using traditional person-to-goods methods.

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"We were throwing bodies at the problem, but walking speed has a physical limit. We needed a fundamental shift in how goods moved through our facility to hit next-day delivery SLAs reliably."

VP

VP of Fulfillment Operations

Top-10 E-Commerce Client

The Solution: Intelligent G2P

RoboLyne engineered a comprehensive Goods-to-Person (G2P) architecture, replacing rigid conveyor belts with a fleet of high-speed Storage AGVs. The core strategy involved bringing the inventory shelves directly to stationary operator workstations, eliminating human travel time.

Key Implementation Decisions

  • check_circle AI Path Scheduling: Implemented the RSS Server to dynamically route AGVs, preventing traffic jams on the warehouse floor.
  • check_circle Direct WMS API Integration: Seamless handshake with their existing Kingdee WMS for real-time inventory deduction.
  • check_circle Digital Twin Validation: Simulated the entire layout virtually before physical deployment to guarantee the 600/hr SLA.
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System Architecture Diagram

System Configuration

Component Quantity Function / Type Key Spec
Storage AGV 60 Units Picking Transport 1.5m/s Max Speed
Operator Workstations 12 Stations Goods-to-Person Ergonomic Design
RSS Server 1 Cluster AI Path Scheduling Real-time Compute
Kingdee WMS API 1 Instance Software Interface Full Integration

Results & ROI

Throughput Shift

220 arrow_right_alt 600

Orders per Hour

Error Rate

3.2% arrow_right_alt 0.9%

Near-perfect accuracy

Peak Capacity

+170%

Handling surges effortlessly

Deployment Time

14

Days total to go-live

Facility Gallery

High angle view of sleek orange automated guided vehicles moving along a dark factory floor, futuristic industrial vibe
Close up of a modern industrial workstation screen displaying complex dashboard telemetry data in a dark environment
Wide view of tall storage racks in a massive automated warehouse illuminated by cool blue safety lights

Hardware & Software Used

robot_2

Storage AGV Series

High-speed, omnidirectional transport units for heavy payload lifting.

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precision_manufacturing

Composite Robot

Mobile manipulation arms for complex bin-picking tasks at the workstation.

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dns

RSS Software Suite

Centralized AI scheduling engine and digital twin modeling environment.

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Ready to Scale Your Fulfillment?

See how our engineers can apply this same G2P architecture to your facility constraints.