GXO Deploys 127-Robot Skypod System for Guess Fashion Logistics
The Venlo facility automation handles up to 70,000 pieces daily with flexibility for seasonal demand swings and SKU complexity.

GXO Automates Guess Distribution Center with Exotec Robotics
Logistics provider GXO has implemented a comprehensive robotic fulfillment system at its Venlo, Netherlands facility to handle operations for fashion retailer Guess, deploying 127 autonomous robots and 60,000 storage locations to manage the brand's distribution across EMEA and Asia.
The installation centers on Exotec's Skypod system, which combines automated storage and retrieval with goods-to-person picking stations. The facility processes between 40,000 and 70,000 pieces daily depending on seasonal demand, with peak capacity reaching 2,200 order lines per hour. Eight picking stations connect to a 200-meter conveyor network that links storage, picking, and dispatch zones.
GXO manages the full scope of Guess operations at the site, including inbound logistics, quality control, garment conditioning, and outbound distribution to retail stores. The facility is also adding e-commerce fulfillment for the Benelux market.
Why it matters
Fashion logistics demands automation systems that can handle extreme variability—thousands of SKUs, unpredictable seasonal peaks, and rapid product turnover—without requiring operational redesigns every season. This installation demonstrates how robotics can be configured around specific industry constraints rather than forcing operations to adapt to rigid automation platforms. For brands managing multi-channel distribution across continents, the ability to scale throughput by 75% during peak periods while maintaining picking accuracy represents a meaningful operational advantage.
Customized Integration for Fashion Complexity
Exotec served as system integrator for the project, designing the automation specifically around Guess's operational requirements rather than deploying a standard configuration. The company brought together storage robotics, picking stations, and material handling equipment under a unified control platform.
The approach addresses a core challenge in fashion fulfillment: product ranges change rapidly and demand fluctuates significantly between seasons. The system's architecture allows GXO to absorb volume increases without redesigning the operation or adding fixed infrastructure.
Since going live, GXO reports the operation has become more predictable and streamlined, with reduced manual picking effort while maintaining capacity for future growth.
Scaling Capacity Without Redesign
The 75% throughput variance between baseline and peak periods—from 40,000 to 70,000 pieces daily—illustrates the seasonal volatility typical of fashion logistics. The robotic system accommodates this swing through software-driven scaling rather than physical expansion.
For GXO, the project represents a shift from treating warehouse automation as a standardized solution to configuring systems around customer-specific operational characteristics. The installation supports Guess's retail distribution network while providing additional capacity for growing e-commerce volumes.
Details of the installation were first reported by Logistics Business.
This is an original analysis by the Omega editorial team. Source reporting: Automation Watch.
Want systems like this working for your business?
Book a Call