nGroup

nGroup, a third-party logistics provider operating at significant scale, faced a compounding operational challenge in its returns putaway process. Handling nearly 1 million returned units every month, the facility relied on manual workflows that struggled to keep pace with volume. Workers navigated busy aisles without systematic routing, creating both throughput bottlenecks and safety risks from congestion and repetitive strain. Errors in putaway placement led to downstream inventory discrepancies, complicating fulfillment and adding rework costs. For 3PLs competing on service-level agreements, an inefficient returns operation directly threatens client retention and contract margins — making the status quo commercially unsustainable at this volume.

nGroup deployed a tightly integrated system combining Locus Robotics' autonomous mobile robots (LocusBots) with Optoro's dedicated returns management platform to automate putaway routing at scale. At the core of the system is reinforcement learning and optimization: the platform continuously evaluates inventory positions, robot availability, and putaway locations to dynamically assign tasks and route both workers and bots along optimal paths. Rather than replacing workers, LocusBots follow associates through the facility and carry items while the Optoro system governs returns processing logic — grading, sorting, and routing decisions. The two platforms were integrated to share real-time data, eliminating the manual handoffs that previously caused delays and misplacements. This human-robot collaborative model allowed nGroup to scale throughput without a proportional increase in labor.

The combined deployment produced a 229% increase in putaway productivity, a transformative gain that redefined the facility's operational baseline. The system now reliably processes the full monthly volume of nearly 1 million returned units through putaway — a throughput level that manual operations could not sustain without significant additional headcount. Beyond the headline metric, the automation reduced putaway errors and improved worker safety by minimizing unnecessary travel and physical strain on associates. The shift to guided, robot-assisted workflows also improved consistency across shifts, reducing the performance variance that typically undermines SLA compliance in high-volume returns environments.

• Platform integration is the force multiplier: pairing AMRs with a purpose-built returns system (Optoro) produced compounding gains that neither technology would deliver independently.
• Human-robot collaboration, not full automation, is the practical path for returns operations — workers remain essential for grading and judgment tasks while robots absorb the physical transport burden.
• 3PLs can achieve step-change productivity improvements without headcount expansion by deploying AMRs against high-volume, repetitive workflows first.
• At million-unit monthly volumes, real-time data sharing between robotics and inventory platforms is a prerequisite — batch integration will create the same bottlenecks automation is meant to eliminate.