GEODIS

GEODIS, a leading global third-party logistics (3PL) provider, operates a 500,000 sq ft multi-tenant facility in Kutztown, PA, where a single omnichannel retailer occupies 219,000 sq ft for apparel and accessories fulfillment and returns. In 3PL warehousing, tight labor markets and seasonal demand spikes create compounding operational risk — workforce shortages translate directly into missed SLAs and lost client contracts. The facility faced pressure on three converging fronts: persistent difficulty recruiting and retaining associates, employee safety requirements around social distancing, and competitive service expectations from its retail customer. Compounding all of this, the team had committed to deploying a new automation solution immediately before Peak season, raising concerns that mid-cycle workflow changes could destabilize throughput at precisely the worst moment.

GEODIS deployed 59 LocusBots across picking and putaway workflows at the Kutztown site in a record 6-week implementation — the fastest go-live GEODIS had completed with Locus Robotics to that point. The autonomous mobile robot (AMR) system introduced eight container configurations to accommodate diverse SKU types across apparel and accessories, and robots were integrated into returns processing workflows to enable human-robot collaboration on inbound flows. Locus Robotics delivered the deployment under a Robots-as-a-Service (RaaS) model, which allowed rapid scaling without large upfront capital commitments. Real-time analytics dashboards were provisioned for operations management, providing live visibility into throughput rates, bot utilization, and labor performance. The established deployment methodology and prior GEODIS-Locus implementation history enabled the 6-week timeline without disrupting active operations heading into Peak.

Worker productivity increased from 100 units per hour (UPH) under traditional cart-picking to 175–200 UPH with LocusBots — a 1.8x productivity gain realized before Peak season began. Returns processing was simplified by eliminating 2–3 manual handling steps through robot collaboration, reducing cost per unit and shortening order cycle times.

Key outcomes:

• 1.8x productivity increase: 100 UPH → 175–200 UPH across picking operations
• 2–3 returns steps eliminated via human-robot collaboration
• Faster associate onboarding: new seasonal hires ramped up significantly faster than under cart-picking methods
• Improved labor retention: associates actively referred family and friends, reducing ongoing recruiting pressure at the site

• Pre-Peak AMR deployments are viable when the vendor has a proven rapid-deployment playbook — GEODIS completed implementation in 6 weeks with no operational disruption by leveraging an existing track record with Locus Robotics.
• Collaborative robotics delivers compounding labor benefits beyond throughput: lower cost per unit, faster new-hire ramp-up, and measurable retention improvements from a single deployment.
• Real-time analytics are not optional — operations managers cited dashboards as central to sustaining performance gains after go-live.
• Scalability should be a primary selection criterion in 3PL environments where client volumes fluctuate seasonally; AMR fleets can be sized up without permanent headcount commitments.